RPCS3/llvm-mirror
1
0
Fork 0
mirror of https://github.com/RPCS3/llvm-mirror.git synced 2024-11-22 18:54:02 +01:00
Code Issues Projects Releases Wiki Activity
a17954e6f1
llvm-mirror/lib/Analysis/models/inliner/saved_model.pbtxt
Mircea Trofin d25cc6a592 [llvm][NFC] ML Policies: changed the saved_model protobuf to text 
Also compacted the checkpoints (variables) to one file (plus the index).

This reduces the binary model files to just the variables and their
index. The index is very small. The variables are serialized float
arrays. When updated through training, the changes are very likely
unlocalized, so there's very little value in them being anything else
than binary.
2020-07-13 11:07:07 -07:00

32635 lines
819 KiB
Plaintext
Raw Blame History

saved_model_schema_version: 1
meta_graphs {
meta_info_def {
stripped_op_list {
op {
name: "Const"
output_arg {
name: "output"
type_attr: "dtype"
}
attr {
name: "value"
type: "tensor"
}
attr {
name: "dtype"
type: "type"
}
}
op {
name: "NoOp"
}
op {
name: "PartitionedCall"
input_arg {
name: "args"
type_list_attr: "Tin"
}
output_arg {
name: "output"
type_list_attr: "Tout"
}
attr {
name: "Tin"
type: "list(type)"
has_minimum: true
}
attr {
name: "Tout"
type: "list(type)"
has_minimum: true
}
attr {
name: "f"
type: "func"
}
attr {
name: "config"
type: "string"
default_value {
s: ""
}
}
attr {
name: "config_proto"
type: "string"
default_value {
s: ""
}
}
attr {
name: "executor_type"
type: "string"
default_value {
s: ""
}
}
}
op {
name: "Placeholder"
output_arg {
name: "output"
type_attr: "dtype"
}
attr {
name: "dtype"
type: "type"
}
attr {
name: "shape"
type: "shape"
default_value {
shape {
unknown_rank: true
}
}
}
}
op {
name: "ReadVariableOp"
input_arg {
name: "resource"
type: DT_RESOURCE
}
output_arg {
name: "value"
type_attr: "dtype"
}
attr {
name: "dtype"
type: "type"
}
is_stateful: true
}
op {
name: "StatefulPartitionedCall"
input_arg {
name: "args"
type_list_attr: "Tin"
}
output_arg {
name: "output"
type_list_attr: "Tout"
}
attr {
name: "Tin"
type: "list(type)"
has_minimum: true
}
attr {
name: "Tout"
type: "list(type)"
has_minimum: true
}
attr {
name: "f"
type: "func"
}
attr {
name: "config"
type: "string"
default_value {
s: ""
}
}
attr {
name: "config_proto"
type: "string"
default_value {
s: ""
}
}
attr {
name: "executor_type"
type: "string"
default_value {
s: ""
}
}
is_stateful: true
}
op {
name: "VarHandleOp"
output_arg {
name: "resource"
type: DT_RESOURCE
}
attr {
name: "container"
type: "string"
default_value {
s: ""
}
}
attr {
name: "shared_name"
type: "string"
default_value {
s: ""
}
}
attr {
name: "dtype"
type: "type"
}
attr {
name: "shape"
type: "shape"
}
attr {
name: "allowed_devices"
type: "list(string)"
default_value {
list {
}
}
}
is_stateful: true
}
}
tags: "serve"
tensorflow_version: "1.15.0"
tensorflow_git_version: "unknown"
stripped_default_attrs: true
}
graph_def {
node {
name: "train_step"
op: "VarHandleOp"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT64
}
}
attr {
key: "shape"
value {
shape {
}
}
}
attr {
key: "shared_name"
value {
s: "train_step"
}
}
}
node {
name: "train_step/Read/ReadVariableOp"
op: "ReadVariableOp"
input: "train_step"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT64
}
}
}
node {
name: "QNetwork/EncodingNetwork/dense/kernel"
op: "VarHandleOp"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 34
}
dim {
size: 100
}
}
}
}
attr {
key: "shared_name"
value {
s: "QNetwork/EncodingNetwork/dense/kernel"
}
}
}
node {
name: "QNetwork/EncodingNetwork/dense/kernel/Read/ReadVariableOp"
op: "ReadVariableOp"
input: "QNetwork/EncodingNetwork/dense/kernel"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 34
}
dim {
size: 100
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
}
node {
name: "QNetwork/EncodingNetwork/dense/bias"
op: "VarHandleOp"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 100
}
}
}
}
attr {
key: "shared_name"
value {
s: "QNetwork/EncodingNetwork/dense/bias"
}
}
}
node {
name: "QNetwork/EncodingNetwork/dense/bias/Read/ReadVariableOp"
op: "ReadVariableOp"
input: "QNetwork/EncodingNetwork/dense/bias"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 100
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
}
node {
name: "QNetwork/EncodingNetwork/dense_1/kernel"
op: "VarHandleOp"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 100
}
dim {
size: 40
}
}
}
}
attr {
key: "shared_name"
value {
s: "QNetwork/EncodingNetwork/dense_1/kernel"
}
}
}
node {
name: "QNetwork/EncodingNetwork/dense_1/kernel/Read/ReadVariableOp"
op: "ReadVariableOp"
input: "QNetwork/EncodingNetwork/dense_1/kernel"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 100
}
dim {
size: 40
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
}
node {
name: "QNetwork/EncodingNetwork/dense_1/bias"
op: "VarHandleOp"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 40
}
}
}
}
attr {
key: "shared_name"
value {
s: "QNetwork/EncodingNetwork/dense_1/bias"
}
}
}
node {
name: "QNetwork/EncodingNetwork/dense_1/bias/Read/ReadVariableOp"
op: "ReadVariableOp"
input: "QNetwork/EncodingNetwork/dense_1/bias"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 40
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
}
node {
name: "QNetwork/dense_2/kernel"
op: "VarHandleOp"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 40
}
dim {
size: 2
}
}
}
}
attr {
key: "shared_name"
value {
s: "QNetwork/dense_2/kernel"
}
}
}
node {
name: "QNetwork/dense_2/kernel/Read/ReadVariableOp"
op: "ReadVariableOp"
input: "QNetwork/dense_2/kernel"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 40
}
dim {
size: 2
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
}
node {
name: "QNetwork/dense_2/bias"
op: "VarHandleOp"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 2
}
}
}
}
attr {
key: "shared_name"
value {
s: "QNetwork/dense_2/bias"
}
}
}
node {
name: "QNetwork/dense_2/bias/Read/ReadVariableOp"
op: "ReadVariableOp"
input: "QNetwork/dense_2/bias"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 2
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
}
node {
name: "NoOp"
op: "NoOp"
}
node {
name: "Const"
op: "Const"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_STRING
tensor_shape {
}
string_val: "\nu\n\023\010\001\022\017_time_step_spec\n\024\010\002\022\020_trajectory_spec\n\023\010\003\022\017_wrapped_policy\n\016\010\004\022\ntrain_step\n\023\010\005\022\017model_variables\n\016\010\006\022\nsignatures\n\030\n\017\010\007\022\013observation\n\005\010\007\022\0013\n\030\n\017\010\007\022\013observation\n\005\010\007\022\0011\n;\n\016\010\010\022\n_q_network\n\023\010\001\022\017_time_step_spec\n\024\010\t\022\020_trajectory_spec\nE\022C\n\016VARIABLE_VALUE\022\ntrain_step\032%train_step/.ATTRIBUTES/VARIABLE_VALUE\n*\n\005\010\n\022\0010\n\005\010\013\022\0011\n\005\010\014\022\0012\n\005\010\r\022\0013\n\005\010\016\022\0014\n\005\010\017\022\0015\n\000\n\000\n\214\001\n\026\010\020\022\022_input_tensor_spec\n\014\010\021\022\010_encoder\n\022\010\022\022\016_q_value_layer\n\r\010\023\022\tvariables\n\031\010\024\022\025regularization_losses\n\027\010\025\022\023trainable_variables\n\r\010\026\022\tkeras_api\n\030\n\017\010\007\022\013observation\n\005\010\007\022\0011\ng\022e\n\016VARIABLE_VALUE\022%QNetwork/EncodingNetwork/dense/kernel\032,model_variables/0/.ATTRIBUTES/VARIABLE_VALUE\ne\022c\n\016VARIABLE_VALUE\022#QNetwork/EncodingNetwork/dense/bias\032,model_variables/1/.ATTRIBUTES/VARIABLE_VALUE\ni\022g\n\016VARIABLE_VALUE\022\'QNetwork/EncodingNetwork/dense_1/kernel\032,model_variables/2/.ATTRIBUTES/VARIABLE_VALUE\ng\022e\n\016VARIABLE_VALUE\022%QNetwork/EncodingNetwork/dense_1/bias\032,model_variables/3/.ATTRIBUTES/VARIABLE_VALUE\nY\022W\n\016VARIABLE_VALUE\022\027QNetwork/dense_2/kernel\032,model_variables/4/.ATTRIBUTES/VARIABLE_VALUE\nW\022U\n\016VARIABLE_VALUE\022\025QNetwork/dense_2/bias\032,model_variables/5/.ATTRIBUTES/VARIABLE_VALUE\n\000\n\334\001\n\026\010\027\022\022_input_tensor_spec\n\027\010\030\022\023_preprocessing_nest\n\036\010\031\022\032_flat_preprocessing_layers\n\033\010\032\022\027_preprocessing_combiner\n\032\010\033\022\026_postprocessing_layers\n\r\010\034\022\tvariables\n\031\010\035\022\025regularization_losses\n\027\010\036\022\023trainable_variables\n\r\010\037\022\tkeras_api\nh\n\n\010\016\022\006kernel\n\010\010\017\022\004bias\n\r\010 \022\tvariables\n\031\010!\022\025regularization_losses\n\027\010\"\022\023trainable_variables\n\r\010#\022\tkeras_api\n*\n\005\010\n\022\0010\n\005\010\013\022\0011\n\005\010\014\022\0012\n\005\010\r\022\0013\n\005\010\016\022\0014\n\005\010\017\022\0015\n\000\n*\n\005\010\n\022\0010\n\005\010\013\022\0011\n\005\010\014\022\0012\n\005\010\r\022\0013\n\005\010\016\022\0014\n\005\010\017\022\0015\n\255\001\n\021\010$\022\rlayer_metrics\n\r\010\023\022\tvariables\n\037\010%\022\033layer_regularization_losses\n\013\010&\022\007metrics\n\n\010\'\022\006layers\n\031\010\024\022\025regularization_losses\n\033\010(\022\027non_trainable_variables\n\027\010\025\022\023trainable_variables\n\000\n\000\nV\n\005\010)\022\0010\n\005\010*\022\0011\n\005\010+\022\0012\n\005\010,\022\0013\n\005\010-\022\0014\n\005\010.\022\0015\n\005\010/\022\0016\n\005\0100\022\0017\n\005\0101\022\0018\n\005\0102\022\0019\n\006\0103\022\00210\n\006\0104\022\00211\nR\n\r\0105\022\tvariables\n\031\0106\022\025regularization_losses\n\027\0107\022\023trainable_variables\n\r\0108\022\tkeras_api\n\025\n\005\0109\022\0010\n\005\010:\022\0011\n\005\010;\022\0012\n\034\n\005\010\n\022\0010\n\005\010\013\022\0011\n\005\010\014\022\0012\n\005\010\r\022\0013\n\000\n\034\n\005\010\n\022\0010\n\005\010\013\022\0011\n\005\010\014\022\0012\n\005\010\r\022\0013\n\255\001\n\021\010<\022\rlayer_metrics\n\r\010\034\022\tvariables\n\037\010=\022\033layer_regularization_losses\n\013\010>\022\007metrics\n\n\010?\022\006layers\n\031\010\035\022\025regularization_losses\n\033\010@\022\027non_trainable_variables\n\027\010\036\022\023trainable_variables\n\016\n\005\010\016\022\0010\n\005\010\017\022\0011\n\000\n\016\n\005\010\016\022\0010\n\005\010\017\022\0011\n\255\001\n\021\010A\022\rlayer_metrics\n\r\010 \022\tvariables\n\037\010B\022\033layer_regularization_losses\n\013\010C\022\007metrics\n\n\010D\022\006layers\n\031\010!\022\025regularization_losses\n\033\010E\022\027non_trainable_variables\n\027\010\"\022\023trainable_variables\n\000\n\000\n\000\n\016\n\005\010\021\022\0010\n\005\010\022\022\0011\n\000\nR\n\r\010F\022\tvariables\n\031\010G\022\025regularization_losses\n\027\010H\022\023trainable_variables\n\r\010I\022\tkeras_api\nR\n\r\010J\022\tvariables\n\031\010K\022\025regularization_losses\n\027\010L\022\023trainable_variables\n\r\010M\022\tkeras_api\nR\n\r\010N\022\tvariables\n\031\010O\022\025regularization_losses\n\027\010P\022\023trainable_variables\n\r\010Q\022\tkeras_api\nR\n\r\010R\022\tvariables\n\031\010S\022\025regularization_losses\n\027\010T\022\023trainable_variables\n\r\010U\022\tkeras_api\nR\n\r\010V\022\tvariables\n\031\010W\022\025regularization_losses\n\027\010X\022\023trainable_variables\n\r\010Y\022\tkeras_api\nR\n\r\010Z\022\tvariables\n\031\010[\022\025regularization_losses\n\027\010\\\022\023trainable_variables\n\r\010]\022\tkeras_api\nR\n\r\010^\022\tvariables\n\031\010_\022\025regularization_losses\n\027\010`\022\023trainable_variables\n\r\010a\022\tkeras_api\nR\n\r\010b\022\tvariables\n\031\010c\022\025regularization_losses\n\027\010d\022\023trainable_variables\n\r\010e\022\tkeras_api\nR\n\r\010f\022\tvariables\n\031\010g\022\025regularization_losses\n\027\010h\022\023trainable_variables\n\r\010i\022\tkeras_api\nR\n\r\010j\022\tvariables\n\031\010k\022\025regularization_losses\n\027\010l\022\023trainable_variables\n\r\010m\022\tkeras_api\nR\n\r\010n\022\tvariables\n\031\010o\022\025regularization_losses\n\027\010p\022\023trainable_variables\n\r\010q\022\tkeras_api\nR\n\r\010r\022\tvariables\n\031\010s\022\025regularization_losses\n\027\010t\022\023trainable_variables\n\r\010u\022\tkeras_api\n\000\n\000\n\000\n\255\001\n\021\010v\022\rlayer_metrics\n\r\0105\022\tvariables\n\037\010w\022\033layer_regularization_losses\n\013\010x\022\007metrics\n\n\010y\022\006layers\n\031\0106\022\025regularization_losses\n\033\010z\022\027non_trainable_variables\n\027\0107\022\023trainable_variables\nR\n\r\010{\022\tvariables\n\031\010|\022\025regularization_losses\n\027\010}\022\023trainable_variables\n\r\010~\022\tkeras_api\nk\n\n\010\n\022\006kernel\n\010\010\013\022\004bias\n\r\010\177\022\tvariables\n\032\010\200\001\022\025regularization_losses\n\030\010\201\001\022\023trainable_variables\n\016\010\202\001\022\tkeras_api\nl\n\n\010\014\022\006kernel\n\010\010\r\022\004bias\n\016\010\203\001\022\tvariables\n\032\010\204\001\022\025regularization_losses\n\030\010\205\001\022\023trainable_variables\n\016\010\206\001\022\tkeras_api\n\000\n\000\n\000\nv\n\005\010)\022\0010\n\005\010*\022\0011\n\005\010+\022\0012\n\005\010,\022\0013\n\005\010-\022\0014\n\005\010.\022\0015\n\005\010/\022\0016\n\005\0100\022\0017\n\005\0101\022\0018\n\005\0102\022\0019\n\006\0103\022\00210\n\006\0104\022\00211\n\006\010\032\022\00212\n\006\0109\022\00213\n\006\010:\022\00214\n\006\010;\022\00215\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\262\001\n\022\010\207\001\022\rlayer_metrics\n\r\010F\022\tvariables\n \010\210\001\022\033layer_regularization_losses\n\014\010\211\001\022\007metrics\n\013\010\212\001\022\006layers\n\031\010G\022\025regularization_losses\n\034\010\213\001\022\027non_trainable_variables\n\027\010H\022\023trainable_variables\n\000\n\000\n\000\n\262\001\n\022\010\214\001\022\rlayer_metrics\n\r\010J\022\tvariables\n \010\215\001\022\033layer_regularization_losses\n\014\010\216\001\022\007metrics\n\013\010\217\001\022\006layers\n\031\010K\022\025regularization_losses\n\034\010\220\001\022\027non_trainable_variables\n\027\010L\022\023trainable_variables\n\000\n\000\n\000\n\262\001\n\022\010\221\001\022\rlayer_metrics\n\r\010N\022\tvariables\n \010\222\001\022\033layer_regularization_losses\n\014\010\223\001\022\007metrics\n\013\010\224\001\022\006layers\n\031\010O\022\025regularization_losses\n\034\010\225\001\022\027non_trainable_variables\n\027\010P\022\023trainable_variables\n\000\n\000\n\000\n\262\001\n\022\010\226\001\022\rlayer_metrics\n\r\010R\022\tvariables\n \010\227\001\022\033layer_regularization_losses\n\014\010\230\001\022\007metrics\n\013\010\231\001\022\006layers\n\031\010S\022\025regularization_losses\n\034\010\232\001\022\027non_trainable_variables\n\027\010T\022\023trainable_variables\n\000\n\000\n\000\n\262\001\n\022\010\233\001\022\rlayer_metrics\n\r\010V\022\tvariables\n \010\234\001\022\033layer_regularization_losses\n\014\010\235\001\022\007metrics\n\013\010\236\001\022\006layers\n\031\010W\022\025regularization_losses\n\034\010\237\001\022\027non_trainable_variables\n\027\010X\022\023trainable_variables\n\000\n\000\n\000\n\262\001\n\022\010\240\001\022\rlayer_metrics\n\r\010Z\022\tvariables\n \010\241\001\022\033layer_regularization_losses\n\014\010\242\001\022\007metrics\n\013\010\243\001\022\006layers\n\031\010[\022\025regularization_losses\n\034\010\244\001\022\027non_trainable_variables\n\027\010\\\022\023trainable_variables\n\000\n\000\n\000\n\262\001\n\022\010\245\001\022\rlayer_metrics\n\r\010^\022\tvariables\n \010\246\001\022\033layer_regularization_losses\n\014\010\247\001\022\007metrics\n\013\010\250\001\022\006layers\n\031\010_\022\025regularization_losses\n\034\010\251\001\022\027non_trainable_variables\n\027\010`\022\023trainable_variables\n\000\n\000\n\000\n\262\001\n\022\010\252\001\022\rlayer_metrics\n\r\010b\022\tvariables\n \010\253\001\022\033layer_regularization_losses\n\014\010\254\001\022\007metrics\n\013\010\255\001\022\006layers\n\031\010c\022\025regularization_losses\n\034\010\256\001\022\027non_trainable_variables\n\027\010d\022\023trainable_variables\n\000\n\000\n\000\n\262\001\n\022\010\257\001\022\rlayer_metrics\n\r\010f\022\tvariables\n \010\260\001\022\033layer_regularization_losses\n\014\010\261\001\022\007metrics\n\013\010\262\001\022\006layers\n\031\010g\022\025regularization_losses\n\034\010\263\001\022\027non_trainable_variables\n\027\010h\022\023trainable_variables\n\000\n\000\n\000\n\262\001\n\022\010\264\001\022\rlayer_metrics\n\r\010j\022\tvariables\n \010\265\001\022\033layer_regularization_losses\n\014\010\266\001\022\007metrics\n\013\010\267\001\022\006layers\n\031\010k\022\025regularization_losses\n\034\010\270\001\022\027non_trainable_variables\n\027\010l\022\023trainable_variables\n\000\n\000\n\000\n\262\001\n\022\010\271\001\022\rlayer_metrics\n\r\010n\022\tvariables\n \010\272\001\022\033layer_regularization_losses\n\014\010\273\001\022\007metrics\n\013\010\274\001\022\006layers\n\031\010o\022\025regularization_losses\n\034\010\275\001\022\027non_trainable_variables\n\027\010p\022\023trainable_variables\n\000\n\000\n\000\n\262\001\n\022\010\276\001\022\rlayer_metrics\n\r\010r\022\tvariables\n \010\277\001\022\033layer_regularization_losses\n\014\010\300\001\022\007metrics\n\013\010\301\001\022\006layers\n\031\010s\022\025regularization_losses\n\034\010\302\001\022\027non_trainable_variables\n\027\010t\022\023trainable_variables\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\262\001\n\022\010\303\001\022\rlayer_metrics\n\r\010{\022\tvariables\n \010\304\001\022\033layer_regularization_losses\n\014\010\305\001\022\007metrics\n\013\010\306\001\022\006layers\n\031\010|\022\025regularization_losses\n\034\010\307\001\022\027non_trainable_variables\n\027\010}\022\023trainable_variables\n\016\n\005\010\n\022\0010\n\005\010\013\022\0011\n\000\n\016\n\005\010\n\022\0010\n\005\010\013\022\0011\n\264\001\n\022\010\310\001\022\rlayer_metrics\n\r\010\177\022\tvariables\n \010\311\001\022\033layer_regularization_losses\n\014\010\312\001\022\007metrics\n\013\010\313\001\022\006layers\n\032\010\200\001\022\025regularization_losses\n\034\010\314\001\022\027non_trainable_variables\n\030\010\201\001\022\023trainable_variables\n\016\n\005\010\014\022\0010\n\005\010\r\022\0011\n\000\n\016\n\005\010\014\022\0010\n\005\010\r\022\0011\n\265\001\n\022\010\315\001\022\rlayer_metrics\n\016\010\203\001\022\tvariables\n \010\316\001\022\033layer_regularization_losses\n\014\010\317\001\022\007metrics\n\013\010\320\001\022\006layers\n\032\010\204\001\022\025regularization_losses\n\034\010\321\001\022\027non_trainable_variables\n\030\010\205\001\022\023trainable_variables\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000\n\000"
}
}
}
}
node {
name: "action_callee_basic_block_count"
op: "Placeholder"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT64
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 1
}
}
}
}
}
node {
name: "action_callee_conditionally_executed_blocks"
op: "Placeholder"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT64
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 1
}
}
}
}
}
node {
name: "action_callee_users"
op: "Placeholder"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT64
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 1
}
}
}
}
}
node {
name: "action_caller_basic_block_count"
op: "Placeholder"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT64
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 1
}
}
}
}
}
node {
name: "action_caller_conditionally_executed_blocks"
op: "Placeholder"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT64
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 1
}
}
}
}
}
node {
name: "action_caller_users"
op: "Placeholder"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT64
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 1
}
}
}
}
}
node {
name: "action_callsite_height"
op: "Placeholder"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT64
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 1
}
}
}
}
}
node {
name: "action_cost_estimate"
op: "Placeholder"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT64
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 1
}
}
}
}
}
node {
name: "action_discount"
op: "Placeholder"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 1
}
}
}
}
}
node {
name: "action_edge_count"
op: "Placeholder"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT64
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 1
}
}
}
}
}
node {
name: "action_inlining_default"
op: "Placeholder"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT64
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 1
}
}
}
}
}
node {
name: "action_node_count"
op: "Placeholder"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT64
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 1
}
}
}
}
}
node {
name: "action_nr_ctant_params"
op: "Placeholder"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT64
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 1
}
}
}
}
}
node {
name: "action_reward"
op: "Placeholder"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 1
}
}
}
}
}
node {
name: "action_step_type"
op: "Placeholder"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 1
}
}
}
}
}
node {
name: "StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "action_callee_basic_block_count"
input: "action_callee_conditionally_executed_blocks"
input: "action_callee_users"
input: "action_caller_basic_block_count"
input: "action_caller_conditionally_executed_blocks"
input: "action_caller_users"
input: "action_callsite_height"
input: "action_cost_estimate"
input: "action_discount"
input: "action_edge_count"
input: "action_inlining_default"
input: "action_node_count"
input: "action_nr_ctant_params"
input: "action_reward"
input: "action_step_type"
input: "QNetwork/EncodingNetwork/dense/kernel"
input: "QNetwork/EncodingNetwork/dense/bias"
input: "QNetwork/EncodingNetwork/dense_1/kernel"
input: "QNetwork/EncodingNetwork/dense_1/bias"
input: "QNetwork/dense_2/kernel"
input: "QNetwork/dense_2/bias"
attr {
key: "Tin"
value {
list {
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_FLOAT
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_FLOAT
type: DT_INT32
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_INT64
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 15
i: 16
i: 17
i: 18
i: 19
i: 20
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0012\005*\0010J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_signature_wrapper_4619026"
}
}
}
}
node {
name: "PartitionedCall"
op: "PartitionedCall"
attr {
key: "Tin"
value {
list {
}
}
}
attr {
key: "Tout"
value {
list {
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0012\005*\0010J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_signature_wrapper_4619033"
}
}
}
}
node {
name: "StatefulPartitionedCall_1"
op: "StatefulPartitionedCall"
input: "train_step"
attr {
key: "Tin"
value {
list {
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_INT64
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 0
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0012\005*\0010J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_signature_wrapper_4619048"
}
}
}
}
node {
name: "saver_filename"
op: "Placeholder"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "shape"
value {
shape {
}
}
}
}
node {
name: "StatefulPartitionedCall_2"
op: "StatefulPartitionedCall"
input: "saver_filename"
input: "train_step/Read/ReadVariableOp"
input: "QNetwork/EncodingNetwork/dense/kernel/Read/ReadVariableOp"
input: "QNetwork/EncodingNetwork/dense/bias/Read/ReadVariableOp"
input: "QNetwork/EncodingNetwork/dense_1/kernel/Read/ReadVariableOp"
input: "QNetwork/EncodingNetwork/dense_1/bias/Read/ReadVariableOp"
input: "QNetwork/dense_2/kernel/Read/ReadVariableOp"
input: "QNetwork/dense_2/bias/Read/ReadVariableOp"
input: "Const"
attr {
key: "Tin"
value {
list {
type: DT_STRING
type: DT_INT64
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_STRING
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_STRING
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0012\005*\0010J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference__traced_save_4619143"
}
}
}
}
node {
name: "StatefulPartitionedCall_3"
op: "StatefulPartitionedCall"
input: "saver_filename"
input: "train_step"
input: "QNetwork/EncodingNetwork/dense/kernel"
input: "QNetwork/EncodingNetwork/dense/bias"
input: "QNetwork/EncodingNetwork/dense_1/kernel"
input: "QNetwork/EncodingNetwork/dense_1/bias"
input: "QNetwork/dense_2/kernel"
input: "QNetwork/dense_2/bias"
attr {
key: "Tin"
value {
list {
type: DT_STRING
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_STRING
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0012\005*\0010J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference__traced_restore_4619176"
}
}
}
}
library {
function {
signature {
name: "__inference_signature_wrapper_4619048"
input_arg {
name: "unknown"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_INT64
}
is_stateful: true
control_output: "StatefulPartitionedCall"
}
node_def {
name: "StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "unknown"
attr {
key: "Tin"
value {
list {
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_INT64
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 0
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0012\005*\0010J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_function_with_signature_4619040"
}
}
}
experimental_debug_info {
original_node_names: "StatefulPartitionedCall"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "StatefulPartitionedCall:output:0"
input: "^StatefulPartitionedCall"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
unknown_rank: true
}
}
}
}
control_ret {
key: "StatefulPartitionedCall"
value: "StatefulPartitionedCall"
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_function_with_signature_4619029"
}
node_def {
name: "PartitionedCall"
op: "PartitionedCall"
attr {
key: "Tin"
value {
list {
}
}
}
attr {
key: "Tout"
value {
list {
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0012\005*\0010J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_function_722"
}
}
}
experimental_debug_info {
original_node_names: "PartitionedCall"
}
}
attr {
key: "_input_shapes"
value {
}
}
}
function {
signature {
name: "__inference_action_931"
input_arg {
name: "time_step"
type: DT_INT32
}
input_arg {
name: "time_step_1"
type: DT_FLOAT
}
input_arg {
name: "time_step_2"
type: DT_FLOAT
}
input_arg {
name: "time_step_3"
type: DT_INT64
}
input_arg {
name: "time_step_4"
type: DT_INT64
}
input_arg {
name: "time_step_5"
type: DT_INT64
}
input_arg {
name: "time_step_6"
type: DT_INT64
}
input_arg {
name: "time_step_7"
type: DT_INT64
}
input_arg {
name: "time_step_8"
type: DT_INT64
}
input_arg {
name: "time_step_9"
type: DT_INT64
}
input_arg {
name: "time_step_10"
type: DT_INT64
}
input_arg {
name: "time_step_11"
type: DT_INT64
}
input_arg {
name: "time_step_12"
type: DT_INT64
}
input_arg {
name: "time_step_13"
type: DT_INT64
}
input_arg {
name: "time_step_14"
type: DT_INT64
}
input_arg {
name: "qnetwork_encodingnetwork_dense_matmul_readvariableop_resource"
type: DT_RESOURCE
}
input_arg {
name: "qnetwork_encodingnetwork_dense_biasadd_readvariableop_resource"
type: DT_RESOURCE
}
input_arg {
name: "qnetwork_encodingnetwork_dense_1_matmul_readvariableop_resource"
type: DT_RESOURCE
}
input_arg {
name: "qnetwork_encodingnetwork_dense_1_biasadd_readvariableop_resource"
type: DT_RESOURCE
}
input_arg {
name: "qnetwork_dense_2_matmul_readvariableop_resource"
type: DT_RESOURCE
}
input_arg {
name: "qnetwork_dense_2_biasadd_readvariableop_resource"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_INT64
}
is_stateful: true
}
node_def {
name: "QNetwork/EncodingNetwork/lambda/expand_dims/ExpandDims/dim"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda/expand_dims/ExpandDims/dim"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda/expand_dims/ExpandDims"
op: "ExpandDims"
input: "time_step_3"
input: "QNetwork/EncodingNetwork/lambda/expand_dims/ExpandDims/dim:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda/expand_dims/ExpandDims"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda/Bucketize"
op: "Bucketize"
input: "QNetwork/EncodingNetwork/lambda/expand_dims/ExpandDims:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "boundaries"
value {
list {
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 9
f: 9
f: 9
f: 9
f: 10
f: 10
f: 11
f: 12
f: 13
f: 14
f: 14
f: 14
f: 16
f: 17
f: 19
f: 23
f: 27
f: 39
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda/Bucketize"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda/Cast"
op: "Cast"
input: "QNetwork/EncodingNetwork/lambda/Bucketize:output:0"
attr {
key: "DstT"
value {
type: DT_FLOAT
}
}
attr {
key: "SrcT"
value {
type: DT_INT32
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda/Cast"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda/truediv/y"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_FLOAT
tensor_shape {
}
float_val: 999
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda/truediv/y"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda/truediv"
op: "RealDiv"
input: "QNetwork/EncodingNetwork/lambda/Cast:y:0"
input: "QNetwork/EncodingNetwork/lambda/truediv/y:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda/truediv"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda/Sqrt"
op: "Sqrt"
input: "QNetwork/EncodingNetwork/lambda/truediv:z:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda/Sqrt"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda/mul"
op: "Mul"
input: "QNetwork/EncodingNetwork/lambda/truediv:z:0"
input: "QNetwork/EncodingNetwork/lambda/truediv:z:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda/mul"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda/concat/axis"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda/concat/axis"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda/concat"
op: "ConcatV2"
input: "QNetwork/EncodingNetwork/lambda/truediv:z:0"
input: "QNetwork/EncodingNetwork/lambda/Sqrt:y:0"
input: "QNetwork/EncodingNetwork/lambda/mul:z:0"
input: "QNetwork/EncodingNetwork/lambda/concat/axis:output:0"
attr {
key: "N"
value {
i: 3
}
}
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 3
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda/concat"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_1/expand_dims/ExpandDims/dim"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_1/expand_dims/ExpandDims/dim"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_1/expand_dims/ExpandDims"
op: "ExpandDims"
input: "time_step_4"
input: "QNetwork/EncodingNetwork/lambda_1/expand_dims/ExpandDims/dim:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_1/expand_dims/ExpandDims"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_1/Bucketize"
op: "Bucketize"
input: "QNetwork/EncodingNetwork/lambda_1/expand_dims/ExpandDims:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "boundaries"
value {
list {
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 3
f: 3
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 7
f: 8
f: 8
f: 8
f: 8
f: 9
f: 10
f: 10
f: 10
f: 12
f: 12
f: 12
f: 14
f: 14
f: 18
f: 20
f: 23
f: 30
f: 41
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_1/Bucketize"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_1/Cast"
op: "Cast"
input: "QNetwork/EncodingNetwork/lambda_1/Bucketize:output:0"
attr {
key: "DstT"
value {
type: DT_FLOAT
}
}
attr {
key: "SrcT"
value {
type: DT_INT32
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_1/Cast"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_1/truediv/y"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_FLOAT
tensor_shape {
}
float_val: 999
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_1/truediv/y"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_1/truediv"
op: "RealDiv"
input: "QNetwork/EncodingNetwork/lambda_1/Cast:y:0"
input: "QNetwork/EncodingNetwork/lambda_1/truediv/y:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_1/truediv"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_1/Sqrt"
op: "Sqrt"
input: "QNetwork/EncodingNetwork/lambda_1/truediv:z:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_1/Sqrt"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_1/mul"
op: "Mul"
input: "QNetwork/EncodingNetwork/lambda_1/truediv:z:0"
input: "QNetwork/EncodingNetwork/lambda_1/truediv:z:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_1/mul"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_1/concat/axis"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_1/concat/axis"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_1/concat"
op: "ConcatV2"
input: "QNetwork/EncodingNetwork/lambda_1/truediv:z:0"
input: "QNetwork/EncodingNetwork/lambda_1/Sqrt:y:0"
input: "QNetwork/EncodingNetwork/lambda_1/mul:z:0"
input: "QNetwork/EncodingNetwork/lambda_1/concat/axis:output:0"
attr {
key: "N"
value {
i: 3
}
}
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 3
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_1/concat"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_2/expand_dims/ExpandDims/dim"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_2/expand_dims/ExpandDims/dim"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_2/expand_dims/ExpandDims"
op: "ExpandDims"
input: "time_step_5"
input: "QNetwork/EncodingNetwork/lambda_2/expand_dims/ExpandDims/dim:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_2/expand_dims/ExpandDims"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_2/Bucketize"
op: "Bucketize"
input: "QNetwork/EncodingNetwork/lambda_2/expand_dims/ExpandDims:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "boundaries"
value {
list {
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 17
f: 17
f: 17
f: 17
f: 17
f: 17
f: 17
f: 17
f: 17
f: 18
f: 18
f: 18
f: 18
f: 18
f: 19
f: 19
f: 19
f: 19
f: 19
f: 20
f: 20
f: 20
f: 20
f: 20
f: 21
f: 21
f: 21
f: 21
f: 21
f: 21
f: 21
f: 22
f: 22
f: 22
f: 22
f: 23
f: 23
f: 23
f: 24
f: 24
f: 24
f: 25
f: 25
f: 25
f: 25
f: 25
f: 25
f: 26
f: 26
f: 26
f: 27
f: 27
f: 27
f: 27
f: 28
f: 28
f: 29
f: 29
f: 29
f: 29
f: 30
f: 30
f: 31
f: 31
f: 31
f: 31
f: 32
f: 32
f: 33
f: 33
f: 33
f: 34
f: 34
f: 34
f: 34
f: 35
f: 35
f: 36
f: 36
f: 37
f: 37
f: 37
f: 38
f: 38
f: 39
f: 39
f: 40
f: 40
f: 41
f: 41
f: 41
f: 42
f: 43
f: 43
f: 44
f: 44
f: 45
f: 45
f: 46
f: 46
f: 46
f: 47
f: 47
f: 48
f: 49
f: 49
f: 50
f: 50
f: 51
f: 52
f: 53
f: 53
f: 54
f: 55
f: 56
f: 57
f: 57
f: 58
f: 59
f: 60
f: 61
f: 61
f: 63
f: 63
f: 64
f: 65
f: 66
f: 67
f: 67
f: 69
f: 70
f: 71
f: 72
f: 73
f: 74
f: 75
f: 77
f: 78
f: 79
f: 80
f: 81
f: 82
f: 83
f: 85
f: 86
f: 88
f: 89
f: 91
f: 92
f: 94
f: 96
f: 97
f: 99
f: 100
f: 101
f: 103
f: 105
f: 107
f: 109
f: 111
f: 113
f: 115
f: 118
f: 121
f: 123
f: 126
f: 128
f: 130
f: 133
f: 135
f: 137
f: 140
f: 143
f: 146
f: 148
f: 151
f: 154
f: 157
f: 161
f: 163
f: 166
f: 169
f: 173
f: 178
f: 183
f: 189
f: 193
f: 197
f: 202
f: 208
f: 213
f: 218
f: 223
f: 228
f: 233
f: 239
f: 245
f: 250
f: 257
f: 262
f: 269
f: 277
f: 284
f: 292
f: 300
f: 308
f: 319
f: 329
f: 340
f: 349
f: 359
f: 371
f: 382
f: 394
f: 410
f: 423
f: 435
f: 445
f: 462
f: 480
f: 492
f: 506
f: 519
f: 536
f: 557
f: 577
f: 598
f: 622
f: 655
f: 679
f: 707
f: 733
f: 751
f: 787
f: 814
f: 847
f: 897
f: 934
f: 997
f: 1062
f: 1111
f: 1181
f: 1275
f: 1385
f: 1465
f: 1603
f: 1769
f: 2057
f: 2257
f: 2803
f: 3468
f: 4417
f: 6538
f: 16126
f: 23446
f: 33536
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_2/Bucketize"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_2/Cast"
op: "Cast"
input: "QNetwork/EncodingNetwork/lambda_2/Bucketize:output:0"
attr {
key: "DstT"
value {
type: DT_FLOAT
}
}
attr {
key: "SrcT"
value {
type: DT_INT32
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_2/Cast"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_2/truediv/y"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_FLOAT
tensor_shape {
}
float_val: 999
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_2/truediv/y"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_2/truediv"
op: "RealDiv"
input: "QNetwork/EncodingNetwork/lambda_2/Cast:y:0"
input: "QNetwork/EncodingNetwork/lambda_2/truediv/y:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_2/truediv"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_2/Sqrt"
op: "Sqrt"
input: "QNetwork/EncodingNetwork/lambda_2/truediv:z:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_2/Sqrt"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_2/mul"
op: "Mul"
input: "QNetwork/EncodingNetwork/lambda_2/truediv:z:0"
input: "QNetwork/EncodingNetwork/lambda_2/truediv:z:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_2/mul"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_2/concat/axis"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_2/concat/axis"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_2/concat"
op: "ConcatV2"
input: "QNetwork/EncodingNetwork/lambda_2/truediv:z:0"
input: "QNetwork/EncodingNetwork/lambda_2/Sqrt:y:0"
input: "QNetwork/EncodingNetwork/lambda_2/mul:z:0"
input: "QNetwork/EncodingNetwork/lambda_2/concat/axis:output:0"
attr {
key: "N"
value {
i: 3
}
}
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 3
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_2/concat"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_3/expand_dims/ExpandDims/dim"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_3/expand_dims/ExpandDims/dim"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_3/expand_dims/ExpandDims"
op: "ExpandDims"
input: "time_step_6"
input: "QNetwork/EncodingNetwork/lambda_3/expand_dims/ExpandDims/dim:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_3/expand_dims/ExpandDims"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_3/Bucketize"
op: "Bucketize"
input: "QNetwork/EncodingNetwork/lambda_3/expand_dims/ExpandDims:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "boundaries"
value {
list {
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 17
f: 17
f: 17
f: 17
f: 17
f: 17
f: 17
f: 18
f: 18
f: 18
f: 18
f: 18
f: 18
f: 18
f: 18
f: 18
f: 18
f: 18
f: 19
f: 19
f: 19
f: 19
f: 19
f: 19
f: 19
f: 20
f: 20
f: 20
f: 20
f: 20
f: 21
f: 21
f: 21
f: 21
f: 21
f: 21
f: 22
f: 22
f: 22
f: 22
f: 22
f: 22
f: 22
f: 23
f: 23
f: 23
f: 24
f: 24
f: 24
f: 24
f: 24
f: 24
f: 25
f: 25
f: 25
f: 25
f: 25
f: 26
f: 26
f: 26
f: 26
f: 27
f: 27
f: 27
f: 27
f: 27
f: 28
f: 28
f: 28
f: 29
f: 29
f: 29
f: 29
f: 30
f: 30
f: 30
f: 31
f: 31
f: 31
f: 32
f: 32
f: 32
f: 33
f: 33
f: 33
f: 34
f: 34
f: 34
f: 34
f: 35
f: 35
f: 35
f: 36
f: 36
f: 36
f: 37
f: 37
f: 37
f: 38
f: 38
f: 38
f: 38
f: 39
f: 39
f: 40
f: 40
f: 41
f: 41
f: 42
f: 43
f: 43
f: 44
f: 45
f: 45
f: 46
f: 47
f: 47
f: 48
f: 49
f: 49
f: 50
f: 50
f: 52
f: 52
f: 53
f: 54
f: 55
f: 55
f: 57
f: 58
f: 59
f: 60
f: 62
f: 64
f: 65
f: 66
f: 68
f: 70
f: 70
f: 70
f: 70
f: 70
f: 71
f: 73
f: 75
f: 76
f: 78
f: 81
f: 84
f: 86
f: 90
f: 94
f: 98
f: 101
f: 106
f: 111
f: 117
f: 123
f: 130
f: 138
f: 146
f: 157
f: 163
f: 176
f: 187
f: 198
f: 214
f: 227
f: 252
f: 280
f: 327
f: 395
f: 506
f: 671
f: 1025
f: 1971
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_3/Bucketize"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_3/Cast"
op: "Cast"
input: "QNetwork/EncodingNetwork/lambda_3/Bucketize:output:0"
attr {
key: "DstT"
value {
type: DT_FLOAT
}
}
attr {
key: "SrcT"
value {
type: DT_INT32
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_3/Cast"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_3/truediv/y"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_FLOAT
tensor_shape {
}
float_val: 999
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_3/truediv/y"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_3/truediv"
op: "RealDiv"
input: "QNetwork/EncodingNetwork/lambda_3/Cast:y:0"
input: "QNetwork/EncodingNetwork/lambda_3/truediv/y:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_3/truediv"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_3/Sqrt"
op: "Sqrt"
input: "QNetwork/EncodingNetwork/lambda_3/truediv:z:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_3/Sqrt"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_3/mul"
op: "Mul"
input: "QNetwork/EncodingNetwork/lambda_3/truediv:z:0"
input: "QNetwork/EncodingNetwork/lambda_3/truediv:z:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_3/mul"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_3/concat/axis"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_3/concat/axis"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_3/concat"
op: "ConcatV2"
input: "QNetwork/EncodingNetwork/lambda_3/truediv:z:0"
input: "QNetwork/EncodingNetwork/lambda_3/Sqrt:y:0"
input: "QNetwork/EncodingNetwork/lambda_3/mul:z:0"
input: "QNetwork/EncodingNetwork/lambda_3/concat/axis:output:0"
attr {
key: "N"
value {
i: 3
}
}
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 3
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_3/concat"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_4/expand_dims/ExpandDims/dim"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_4/expand_dims/ExpandDims/dim"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_4/expand_dims/ExpandDims"
op: "ExpandDims"
input: "time_step_7"
input: "QNetwork/EncodingNetwork/lambda_4/expand_dims/ExpandDims/dim:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_4/expand_dims/ExpandDims"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_4/Bucketize"
op: "Bucketize"
input: "QNetwork/EncodingNetwork/lambda_4/expand_dims/ExpandDims:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "boundaries"
value {
list {
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 5
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 7
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 11
f: 11
f: 11
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 13
f: 13
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 18
f: 18
f: 18
f: 18
f: 18
f: 18
f: 18
f: 18
f: 18
f: 18
f: 18
f: 18
f: 18
f: 19
f: 19
f: 20
f: 20
f: 20
f: 20
f: 20
f: 20
f: 20
f: 20
f: 21
f: 22
f: 22
f: 22
f: 22
f: 22
f: 22
f: 22
f: 22
f: 22
f: 24
f: 24
f: 24
f: 24
f: 24
f: 24
f: 24
f: 24
f: 25
f: 26
f: 26
f: 26
f: 26
f: 26
f: 26
f: 26
f: 26
f: 26
f: 26
f: 27
f: 28
f: 28
f: 28
f: 28
f: 28
f: 29
f: 30
f: 30
f: 30
f: 30
f: 30
f: 30
f: 31
f: 32
f: 32
f: 32
f: 32
f: 32
f: 34
f: 34
f: 34
f: 34
f: 34
f: 34
f: 35
f: 36
f: 36
f: 36
f: 37
f: 38
f: 38
f: 38
f: 39
f: 40
f: 40
f: 41
f: 42
f: 42
f: 43
f: 44
f: 44
f: 46
f: 46
f: 47
f: 48
f: 48
f: 50
f: 50
f: 52
f: 52
f: 54
f: 55
f: 55
f: 56
f: 57
f: 58
f: 60
f: 60
f: 60
f: 60
f: 60
f: 60
f: 62
f: 62
f: 64
f: 65
f: 66
f: 68
f: 70
f: 72
f: 74
f: 77
f: 80
f: 82
f: 86
f: 89
f: 92
f: 96
f: 99
f: 104
f: 108
f: 114
f: 119
f: 125
f: 131
f: 139
f: 146
f: 157
f: 167
f: 176
f: 188
f: 198
f: 215
f: 236
f: 262
f: 306
f: 376
f: 462
f: 596
f: 942
f: 1428
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_4/Bucketize"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_4/Cast"
op: "Cast"
input: "QNetwork/EncodingNetwork/lambda_4/Bucketize:output:0"
attr {
key: "DstT"
value {
type: DT_FLOAT
}
}
attr {
key: "SrcT"
value {
type: DT_INT32
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_4/Cast"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_4/truediv/y"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_FLOAT
tensor_shape {
}
float_val: 999
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_4/truediv/y"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_4/truediv"
op: "RealDiv"
input: "QNetwork/EncodingNetwork/lambda_4/Cast:y:0"
input: "QNetwork/EncodingNetwork/lambda_4/truediv/y:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_4/truediv"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_4/Sqrt"
op: "Sqrt"
input: "QNetwork/EncodingNetwork/lambda_4/truediv:z:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_4/Sqrt"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_4/mul"
op: "Mul"
input: "QNetwork/EncodingNetwork/lambda_4/truediv:z:0"
input: "QNetwork/EncodingNetwork/lambda_4/truediv:z:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_4/mul"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_4/concat/axis"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_4/concat/axis"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_4/concat"
op: "ConcatV2"
input: "QNetwork/EncodingNetwork/lambda_4/truediv:z:0"
input: "QNetwork/EncodingNetwork/lambda_4/Sqrt:y:0"
input: "QNetwork/EncodingNetwork/lambda_4/mul:z:0"
input: "QNetwork/EncodingNetwork/lambda_4/concat/axis:output:0"
attr {
key: "N"
value {
i: 3
}
}
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 3
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_4/concat"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_5/expand_dims/ExpandDims/dim"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_5/expand_dims/ExpandDims/dim"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_5/expand_dims/ExpandDims"
op: "ExpandDims"
input: "time_step_8"
input: "QNetwork/EncodingNetwork/lambda_5/expand_dims/ExpandDims/dim:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_5/expand_dims/ExpandDims"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_5/Bucketize"
op: "Bucketize"
input: "QNetwork/EncodingNetwork/lambda_5/expand_dims/ExpandDims:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "boundaries"
value {
list {
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 8
f: 8
f: 8
f: 8
f: 8
f: 9
f: 9
f: 9
f: 9
f: 9
f: 10
f: 10
f: 11
f: 11
f: 12
f: 13
f: 14
f: 15
f: 16
f: 18
f: 20
f: 23
f: 29
f: 38
f: 60
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_5/Bucketize"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_5/Cast"
op: "Cast"
input: "QNetwork/EncodingNetwork/lambda_5/Bucketize:output:0"
attr {
key: "DstT"
value {
type: DT_FLOAT
}
}
attr {
key: "SrcT"
value {
type: DT_INT32
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_5/Cast"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_5/truediv/y"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_FLOAT
tensor_shape {
}
float_val: 999
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_5/truediv/y"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_5/truediv"
op: "RealDiv"
input: "QNetwork/EncodingNetwork/lambda_5/Cast:y:0"
input: "QNetwork/EncodingNetwork/lambda_5/truediv/y:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_5/truediv"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_5/Sqrt"
op: "Sqrt"
input: "QNetwork/EncodingNetwork/lambda_5/truediv:z:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_5/Sqrt"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_5/mul"
op: "Mul"
input: "QNetwork/EncodingNetwork/lambda_5/truediv:z:0"
input: "QNetwork/EncodingNetwork/lambda_5/truediv:z:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_5/mul"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_5/concat/axis"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_5/concat/axis"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_5/concat"
op: "ConcatV2"
input: "QNetwork/EncodingNetwork/lambda_5/truediv:z:0"
input: "QNetwork/EncodingNetwork/lambda_5/Sqrt:y:0"
input: "QNetwork/EncodingNetwork/lambda_5/mul:z:0"
input: "QNetwork/EncodingNetwork/lambda_5/concat/axis:output:0"
attr {
key: "N"
value {
i: 3
}
}
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 3
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_5/concat"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_6/expand_dims/ExpandDims/dim"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_6/expand_dims/ExpandDims/dim"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_6/expand_dims/ExpandDims"
op: "ExpandDims"
input: "time_step_9"
input: "QNetwork/EncodingNetwork/lambda_6/expand_dims/ExpandDims/dim:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_6/expand_dims/ExpandDims"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_6/Bucketize"
op: "Bucketize"
input: "QNetwork/EncodingNetwork/lambda_6/expand_dims/ExpandDims:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "boundaries"
value {
list {
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 3
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 4
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 6
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 7
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 8
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 9
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 11
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 12
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 13
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 14
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 16
f: 17
f: 17
f: 17
f: 17
f: 17
f: 17
f: 17
f: 17
f: 17
f: 17
f: 17
f: 17
f: 17
f: 17
f: 17
f: 17
f: 18
f: 18
f: 18
f: 18
f: 18
f: 18
f: 18
f: 18
f: 18
f: 18
f: 18
f: 18
f: 18
f: 19
f: 19
f: 19
f: 19
f: 19
f: 19
f: 19
f: 19
f: 19
f: 19
f: 19
f: 19
f: 20
f: 20
f: 20
f: 20
f: 20
f: 20
f: 20
f: 20
f: 20
f: 21
f: 21
f: 21
f: 21
f: 21
f: 21
f: 21
f: 21
f: 22
f: 22
f: 22
f: 22
f: 22
f: 22
f: 22
f: 22
f: 23
f: 23
f: 23
f: 23
f: 23
f: 23
f: 23
f: 24
f: 24
f: 24
f: 24
f: 24
f: 25
f: 25
f: 25
f: 25
f: 25
f: 26
f: 26
f: 26
f: 26
f: 27
f: 27
f: 27
f: 28
f: 28
f: 28
f: 29
f: 29
f: 30
f: 30
f: 30
f: 31
f: 31
f: 32
f: 32
f: 33
f: 33
f: 34
f: 35
f: 37
f: 38
f: 40
f: 46
f: 51
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_6/Bucketize"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_6/Cast"
op: "Cast"
input: "QNetwork/EncodingNetwork/lambda_6/Bucketize:output:0"
attr {
key: "DstT"
value {
type: DT_FLOAT
}
}
attr {
key: "SrcT"
value {
type: DT_INT32
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_6/Cast"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_6/truediv/y"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_FLOAT
tensor_shape {
}
float_val: 999
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_6/truediv/y"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_6/truediv"
op: "RealDiv"
input: "QNetwork/EncodingNetwork/lambda_6/Cast:y:0"
input: "QNetwork/EncodingNetwork/lambda_6/truediv/y:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_6/truediv"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_6/Sqrt"
op: "Sqrt"
input: "QNetwork/EncodingNetwork/lambda_6/truediv:z:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_6/Sqrt"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_6/mul"
op: "Mul"
input: "QNetwork/EncodingNetwork/lambda_6/truediv:z:0"
input: "QNetwork/EncodingNetwork/lambda_6/truediv:z:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_6/mul"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_6/concat/axis"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_6/concat/axis"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_6/concat"
op: "ConcatV2"
input: "QNetwork/EncodingNetwork/lambda_6/truediv:z:0"
input: "QNetwork/EncodingNetwork/lambda_6/Sqrt:y:0"
input: "QNetwork/EncodingNetwork/lambda_6/mul:z:0"
input: "QNetwork/EncodingNetwork/lambda_6/concat/axis:output:0"
attr {
key: "N"
value {
i: 3
}
}
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 3
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_6/concat"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_7/expand_dims/ExpandDims/dim"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_7/expand_dims/ExpandDims/dim"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_7/expand_dims/ExpandDims"
op: "ExpandDims"
input: "time_step_10"
input: "QNetwork/EncodingNetwork/lambda_7/expand_dims/ExpandDims/dim:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_7/expand_dims/ExpandDims"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_7/Bucketize"
op: "Bucketize"
input: "QNetwork/EncodingNetwork/lambda_7/expand_dims/ExpandDims:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "boundaries"
value {
list {
f: -15035
f: -15030
f: -15025
f: -15000
f: -14985
f: -14945
f: -14745
f: -70
f: -55
f: -55
f: -50
f: -50
f: -50
f: -45
f: -45
f: -45
f: -45
f: -45
f: -45
f: -45
f: -45
f: -45
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -40
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -35
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -30
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -25
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -20
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -15
f: -10
f: -10
f: -10
f: -10
f: -10
f: -10
f: -10
f: -10
f: -10
f: -10
f: -10
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: -5
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 5
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 10
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 15
f: 20
f: 20
f: 20
f: 20
f: 20
f: 20
f: 20
f: 20
f: 20
f: 20
f: 20
f: 20
f: 20
f: 20
f: 20
f: 20
f: 20
f: 20
f: 20
f: 20
f: 25
f: 25
f: 25
f: 25
f: 25
f: 25
f: 25
f: 30
f: 30
f: 30
f: 30
f: 30
f: 30
f: 35
f: 35
f: 35
f: 35
f: 35
f: 35
f: 35
f: 35
f: 35
f: 35
f: 35
f: 35
f: 35
f: 35
f: 35
f: 35
f: 35
f: 35
f: 40
f: 40
f: 40
f: 40
f: 40
f: 40
f: 40
f: 40
f: 40
f: 40
f: 40
f: 40
f: 45
f: 45
f: 45
f: 45
f: 45
f: 45
f: 45
f: 45
f: 45
f: 45
f: 50
f: 50
f: 50
f: 50
f: 50
f: 50
f: 50
f: 50
f: 50
f: 55
f: 55
f: 60
f: 60
f: 60
f: 60
f: 60
f: 60
f: 60
f: 60
f: 60
f: 60
f: 65
f: 65
f: 65
f: 65
f: 65
f: 65
f: 65
f: 65
f: 65
f: 65
f: 65
f: 65
f: 70
f: 70
f: 70
f: 70
f: 70
f: 70
f: 70
f: 75
f: 75
f: 80
f: 80
f: 80
f: 85
f: 85
f: 85
f: 90
f: 90
f: 90
f: 90
f: 95
f: 95
f: 100
f: 100
f: 105
f: 110
f: 115
f: 120
f: 125
f: 125
f: 130
f: 140
f: 140
f: 145
f: 150
f: 155
f: 160
f: 160
f: 165
f: 170
f: 175
f: 180
f: 190
f: 200
f: 210
f: 215
f: 220
f: 220
f: 230
f: 235
f: 245
f: 250
f: 260
f: 275
f: 290
f: 305
f: 325
f: 350
f: 370
f: 390
f: 425
f: 460
f: 500
f: 560
f: 650
f: 790
f: 1025
f: 1600
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_7/Bucketize"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_7/Cast"
op: "Cast"
input: "QNetwork/EncodingNetwork/lambda_7/Bucketize:output:0"
attr {
key: "DstT"
value {
type: DT_FLOAT
}
}
attr {
key: "SrcT"
value {
type: DT_INT32
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_7/Cast"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_7/truediv/y"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_FLOAT
tensor_shape {
}
float_val: 999
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_7/truediv/y"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_7/truediv"
op: "RealDiv"
input: "QNetwork/EncodingNetwork/lambda_7/Cast:y:0"
input: "QNetwork/EncodingNetwork/lambda_7/truediv/y:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_7/truediv"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_7/Sqrt"
op: "Sqrt"
input: "QNetwork/EncodingNetwork/lambda_7/truediv:z:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_7/Sqrt"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_7/mul"
op: "Mul"
input: "QNetwork/EncodingNetwork/lambda_7/truediv:z:0"
input: "QNetwork/EncodingNetwork/lambda_7/truediv:z:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_7/mul"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_7/concat/axis"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_7/concat/axis"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_7/concat"
op: "ConcatV2"
input: "QNetwork/EncodingNetwork/lambda_7/truediv:z:0"
input: "QNetwork/EncodingNetwork/lambda_7/Sqrt:y:0"
input: "QNetwork/EncodingNetwork/lambda_7/mul:z:0"
input: "QNetwork/EncodingNetwork/lambda_7/concat/axis:output:0"
attr {
key: "N"
value {
i: 3
}
}
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 3
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_7/concat"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_8/expand_dims/ExpandDims/dim"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_8/expand_dims/ExpandDims/dim"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_8/expand_dims/ExpandDims"
op: "ExpandDims"
input: "time_step_11"
input: "QNetwork/EncodingNetwork/lambda_8/expand_dims/ExpandDims/dim:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_8/expand_dims/ExpandDims"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_8/Bucketize"
op: "Bucketize"
input: "QNetwork/EncodingNetwork/lambda_8/expand_dims/ExpandDims:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "boundaries"
value {
list {
f: 18
f: 29
f: 39
f: 48
f: 57
f: 64
f: 70
f: 76
f: 82
f: 87
f: 92
f: 97
f: 101
f: 105
f: 109
f: 113
f: 116
f: 120
f: 123
f: 127
f: 130
f: 134
f: 137
f: 140
f: 143
f: 146
f: 149
f: 152
f: 156
f: 159
f: 162
f: 165
f: 168
f: 171
f: 174
f: 177
f: 180
f: 183
f: 186
f: 188
f: 191
f: 194
f: 197
f: 200
f: 203
f: 205
f: 208
f: 211
f: 214
f: 217
f: 219
f: 222
f: 225
f: 228
f: 231
f: 233
f: 236
f: 239
f: 242
f: 244
f: 247
f: 250
f: 253
f: 255
f: 258
f: 261
f: 264
f: 266
f: 269
f: 272
f: 275
f: 278
f: 280
f: 283
f: 286
f: 289
f: 292
f: 294
f: 297
f: 300
f: 303
f: 305
f: 308
f: 311
f: 314
f: 317
f: 319
f: 322
f: 325
f: 327
f: 330
f: 333
f: 336
f: 339
f: 341
f: 344
f: 347
f: 350
f: 353
f: 355
f: 358
f: 361
f: 364
f: 367
f: 370
f: 373
f: 375
f: 378
f: 381
f: 384
f: 387
f: 390
f: 393
f: 396
f: 399
f: 401
f: 404
f: 407
f: 410
f: 413
f: 416
f: 419
f: 422
f: 425
f: 428
f: 431
f: 434
f: 437
f: 440
f: 443
f: 446
f: 449
f: 452
f: 455
f: 458
f: 461
f: 464
f: 467
f: 470
f: 473
f: 476
f: 479
f: 483
f: 486
f: 489
f: 492
f: 495
f: 498
f: 501
f: 504
f: 507
f: 511
f: 514
f: 517
f: 520
f: 523
f: 526
f: 530
f: 533
f: 536
f: 539
f: 542
f: 545
f: 549
f: 552
f: 555
f: 558
f: 562
f: 565
f: 569
f: 572
f: 575
f: 579
f: 582
f: 585
f: 589
f: 592
f: 595
f: 599
f: 602
f: 605
f: 609
f: 612
f: 616
f: 620
f: 623
f: 626
f: 630
f: 634
f: 637
f: 641
f: 644
f: 648
f: 651
f: 655
f: 658
f: 662
f: 665
f: 669
f: 672
f: 676
f: 680
f: 683
f: 687
f: 691
f: 694
f: 698
f: 702
f: 705
f: 709
f: 712
f: 716
f: 720
f: 724
f: 727
f: 731
f: 735
f: 739
f: 742
f: 746
f: 750
f: 754
f: 758
f: 761
f: 765
f: 769
f: 773
f: 777
f: 780
f: 784
f: 788
f: 792
f: 796
f: 800
f: 804
f: 808
f: 812
f: 816
f: 820
f: 823
f: 828
f: 832
f: 836
f: 840
f: 844
f: 848
f: 852
f: 856
f: 860
f: 864
f: 868
f: 873
f: 877
f: 881
f: 885
f: 889
f: 893
f: 897
f: 902
f: 906
f: 910
f: 914
f: 919
f: 923
f: 927
f: 931
f: 935
f: 940
f: 944
f: 948
f: 953
f: 957
f: 962
f: 966
f: 970
f: 975
f: 979
f: 984
f: 988
f: 993
f: 997
f: 1002
f: 1006
f: 1011
f: 1015
f: 1020
f: 1024
f: 1029
f: 1034
f: 1038
f: 1043
f: 1047
f: 1052
f: 1057
f: 1062
f: 1066
f: 1071
f: 1076
f: 1081
f: 1086
f: 1090
f: 1095
f: 1100
f: 1105
f: 1110
f: 1114
f: 1119
f: 1124
f: 1129
f: 1134
f: 1139
f: 1144
f: 1149
f: 1154
f: 1159
f: 1164
f: 1169
f: 1174
f: 1179
f: 1184
f: 1189
f: 1194
f: 1199
f: 1204
f: 1209
f: 1215
f: 1220
f: 1225
f: 1230
f: 1235
f: 1241
f: 1246
f: 1251
f: 1257
f: 1262
f: 1267
f: 1273
f: 1278
f: 1284
f: 1289
f: 1294
f: 1300
f: 1305
f: 1311
f: 1316
f: 1322
f: 1327
f: 1333
f: 1338
f: 1344
f: 1350
f: 1355
f: 1361
f: 1367
f: 1372
f: 1378
f: 1383
f: 1389
f: 1395
f: 1401
f: 1407
f: 1413
f: 1418
f: 1424
f: 1430
f: 1436
f: 1442
f: 1448
f: 1454
f: 1459
f: 1465
f: 1472
f: 1477
f: 1483
f: 1489
f: 1495
f: 1501
f: 1507
f: 1514
f: 1520
f: 1526
f: 1532
f: 1538
f: 1545
f: 1551
f: 1557
f: 1564
f: 1570
f: 1576
f: 1583
f: 1589
f: 1596
f: 1602
f: 1608
f: 1615
f: 1621
f: 1628
f: 1634
f: 1641
f: 1647
f: 1654
f: 1661
f: 1667
f: 1674
f: 1681
f: 1687
f: 1694
f: 1701
f: 1708
f: 1715
f: 1722
f: 1729
f: 1735
f: 1742
f: 1749
f: 1756
f: 1763
f: 1770
f: 1777
f: 1784
f: 1791
f: 1798
f: 1806
f: 1812
f: 1820
f: 1827
f: 1835
f: 1841
f: 1849
f: 1856
f: 1863
f: 1871
f: 1878
f: 1885
f: 1893
f: 1901
f: 1908
f: 1915
f: 1923
f: 1930
f: 1938
f: 1946
f: 1953
f: 1961
f: 1969
f: 1976
f: 1984
f: 1992
f: 2000
f: 2007
f: 2015
f: 2023
f: 2031
f: 2039
f: 2047
f: 2055
f: 2063
f: 2071
f: 2079
f: 2087
f: 2095
f: 2104
f: 2112
f: 2120
f: 2128
f: 2137
f: 2146
f: 2154
f: 2162
f: 2171
f: 2179
f: 2188
f: 2197
f: 2205
f: 2214
f: 2223
f: 2232
f: 2241
f: 2250
f: 2258
f: 2268
f: 2277
f: 2285
f: 2294
f: 2304
f: 2313
f: 2322
f: 2331
f: 2340
f: 2350
f: 2359
f: 2368
f: 2378
f: 2388
f: 2397
f: 2407
f: 2416
f: 2426
f: 2436
f: 2446
f: 2455
f: 2465
f: 2475
f: 2485
f: 2495
f: 2505
f: 2515
f: 2525
f: 2535
f: 2545
f: 2556
f: 2566
f: 2577
f: 2587
f: 2598
f: 2609
f: 2620
f: 2631
f: 2641
f: 2652
f: 2663
f: 2674
f: 2685
f: 2696
f: 2708
f: 2719
f: 2730
f: 2742
f: 2753
f: 2764
f: 2776
f: 2788
f: 2799
f: 2811
f: 2823
f: 2835
f: 2847
f: 2858
f: 2870
f: 2882
f: 2894
f: 2906
f: 2919
f: 2931
f: 2943
f: 2956
f: 2968
f: 2981
f: 2994
f: 3006
f: 3019
f: 3032
f: 3045
f: 3058
f: 3070
f: 3083
f: 3096
f: 3109
f: 3121
f: 3134
f: 3148
f: 3161
f: 3174
f: 3187
f: 3200
f: 3214
f: 3228
f: 3242
f: 3255
f: 3268
f: 3283
f: 3297
f: 3310
f: 3325
f: 3340
f: 3353
f: 3368
f: 3383
f: 3398
f: 3412
f: 3427
f: 3442
f: 3457
f: 3471
f: 3487
f: 3502
f: 3516
f: 3531
f: 3546
f: 3561
f: 3577
f: 3593
f: 3608
f: 3625
f: 3641
f: 3657
f: 3673
f: 3690
f: 3706
f: 3722
f: 3738
f: 3755
f: 3772
f: 3789
f: 3805
f: 3823
f: 3839
f: 3856
f: 3873
f: 3891
f: 3908
f: 3926
f: 3944
f: 3960
f: 3977
f: 3995
f: 4013
f: 4031
f: 4048
f: 4067
f: 4085
f: 4104
f: 4122
f: 4140
f: 4159
f: 4177
f: 4196
f: 4215
f: 4234
f: 4253
f: 4272
f: 4291
f: 4311
f: 4332
f: 4351
f: 4371
f: 4391
f: 4412
f: 4433
f: 4454
f: 4474
f: 4496
f: 4518
f: 4538
f: 4558
f: 4579
f: 4601
f: 4619
f: 4640
f: 4662
f: 4684
f: 4706
f: 4728
f: 4751
f: 4771
f: 4794
f: 4818
f: 4840
f: 4863
f: 4887
f: 4910
f: 4933
f: 4956
f: 4980
f: 5004
f: 5028
f: 5052
f: 5076
f: 5100
f: 5125
f: 5152
f: 5175
f: 5200
f: 5226
f: 5251
f: 5278
f: 5304
f: 5329
f: 5354
f: 5381
f: 5407
f: 5433
f: 5460
f: 5488
f: 5516
f: 5544
f: 5573
f: 5600
f: 5628
f: 5656
f: 5684
f: 5713
f: 5741
f: 5771
f: 5799
f: 5830
f: 5860
f: 5891
f: 5921
f: 5951
f: 5980
f: 6010
f: 6041
f: 6073
f: 6105
f: 6133
f: 6163
f: 6195
f: 6227
f: 6258
f: 6291
f: 6322
f: 6356
f: 6390
f: 6424
f: 6457
f: 6491
f: 6527
f: 6561
f: 6596
f: 6631
f: 6665
f: 6701
f: 6736
f: 6771
f: 6805
f: 6840
f: 6877
f: 6911
f: 6947
f: 6985
f: 7022
f: 7059
f: 7097
f: 7135
f: 7174
f: 7212
f: 7251
f: 7289
f: 7327
f: 7366
f: 7406
f: 7447
f: 7486
f: 7525
f: 7566
f: 7606
f: 7646
f: 7688
f: 7728
f: 7771
f: 7814
f: 7859
f: 7901
f: 7949
f: 7992
f: 8036
f: 8082
f: 8127
f: 8173
f: 8218
f: 8262
f: 8309
f: 8353
f: 8397
f: 8444
f: 8489
f: 8539
f: 8585
f: 8632
f: 8682
f: 8727
f: 8777
f: 8828
f: 8879
f: 8929
f: 8982
f: 9037
f: 9087
f: 9140
f: 9193
f: 9250
f: 9305
f: 9361
f: 9418
f: 9475
f: 9532
f: 9589
f: 9644
f: 9699
f: 9758
f: 9818
f: 9875
f: 9935
f: 9997
f: 10057
f: 10117
f: 10174
f: 10232
f: 10296
f: 10356
f: 10419
f: 10482
f: 10546
f: 10608
f: 10670
f: 10729
f: 10790
f: 10855
f: 10920
f: 10990
f: 11054
f: 11118
f: 11181
f: 11248
f: 11316
f: 11385
f: 11454
f: 11526
f: 11597
f: 11667
f: 11740
f: 11820
f: 11897
f: 11973
f: 12046
f: 12126
f: 12204
f: 12287
f: 12370
f: 12456
f: 12538
f: 12627
f: 12714
f: 12799
f: 12883
f: 12971
f: 13062
f: 13154
f: 13233
f: 13328
f: 13418
f: 13511
f: 13607
f: 13709
f: 13806
f: 13903
f: 14002
f: 14104
f: 14200
f: 14288
f: 14391
f: 14488
f: 14590
f: 14698
f: 14808
f: 14910
f: 15020
f: 15126
f: 15238
f: 15347
f: 15456
f: 15574
f: 15692
f: 15786
f: 15896
f: 16016
f: 16136
f: 16250
f: 16352
f: 16474
f: 16575
f: 16702
f: 16835
f: 16965
f: 17096
f: 17232
f: 17370
f: 17443
f: 17581
f: 17719
f: 17864
f: 17976
f: 18116
f: 18250
f: 18396
f: 18540
f: 18690
f: 18840
f: 18989
f: 19136
f: 19294
f: 19445
f: 19589
f: 19750
f: 19905
f: 20064
f: 20191
f: 20325
f: 20497
f: 20662
f: 20833
f: 20981
f: 21152
f: 21334
f: 21510
f: 21642
f: 21821
f: 22001
f: 22186
f: 22379
f: 22568
f: 22770
f: 22958
f: 23162
f: 23360
f: 23524
f: 23737
f: 23960
f: 24175
f: 24395
f: 24631
f: 24865
f: 25091
f: 25327
f: 25580
f: 25833
f: 26089
f: 26361
f: 26636
f: 26889
f: 27155
f: 27436
f: 27715
f: 28003
f: 28303
f: 28600
f: 28916
f: 29223
f: 29553
f: 29884
f: 30200
f: 30538
f: 30868
f: 31211
f: 31548
f: 31881
f: 32253
f: 32605
f: 32980
f: 33385
f: 33805
f: 34254
f: 34723
f: 35167
f: 35666
f: 36125
f: 36652
f: 37177
f: 37739
f: 38321
f: 38932
f: 39640
f: 40337
f: 41000
f: 41626
f: 42385
f: 43122
f: 43890
f: 44687
f: 45609
f: 46520
f: 47489
f: 48432
f: 49458
f: 50511
f: 51561
f: 52568
f: 53676
f: 54936
f: 56071
f: 57302
f: 58513
f: 59800
f: 61192
f: 62702
f: 64205
f: 65868
f: 67780
f: 69960
f: 72330
f: 74918
f: 77540
f: 80344
f: 83727
f: 87662
f: 93589
f: 101441
f: 110544
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_8/Bucketize"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_8/Cast"
op: "Cast"
input: "QNetwork/EncodingNetwork/lambda_8/Bucketize:output:0"
attr {
key: "DstT"
value {
type: DT_FLOAT
}
}
attr {
key: "SrcT"
value {
type: DT_INT32
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_8/Cast"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_8/truediv/y"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_FLOAT
tensor_shape {
}
float_val: 999
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_8/truediv/y"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_8/truediv"
op: "RealDiv"
input: "QNetwork/EncodingNetwork/lambda_8/Cast:y:0"
input: "QNetwork/EncodingNetwork/lambda_8/truediv/y:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_8/truediv"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_8/Sqrt"
op: "Sqrt"
input: "QNetwork/EncodingNetwork/lambda_8/truediv:z:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_8/Sqrt"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_8/mul"
op: "Mul"
input: "QNetwork/EncodingNetwork/lambda_8/truediv:z:0"
input: "QNetwork/EncodingNetwork/lambda_8/truediv:z:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_8/mul"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_8/concat/axis"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_8/concat/axis"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_8/concat"
op: "ConcatV2"
input: "QNetwork/EncodingNetwork/lambda_8/truediv:z:0"
input: "QNetwork/EncodingNetwork/lambda_8/Sqrt:y:0"
input: "QNetwork/EncodingNetwork/lambda_8/mul:z:0"
input: "QNetwork/EncodingNetwork/lambda_8/concat/axis:output:0"
attr {
key: "N"
value {
i: 3
}
}
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 3
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_8/concat"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_9/expand_dims/ExpandDims/dim"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_9/expand_dims/ExpandDims/dim"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_9/expand_dims/ExpandDims"
op: "ExpandDims"
input: "time_step_12"
input: "QNetwork/EncodingNetwork/lambda_9/expand_dims/ExpandDims/dim:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_9/expand_dims/ExpandDims"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_9/zeros_like"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_FLOAT
tensor_shape {
dim {
size: 1
}
dim {
size: 1
}
}
float_val: 0
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_9/zeros_like"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_10/expand_dims/ExpandDims/dim"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_10/expand_dims/ExpandDims/dim"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_10/expand_dims/ExpandDims"
op: "ExpandDims"
input: "time_step_13"
input: "QNetwork/EncodingNetwork/lambda_10/expand_dims/ExpandDims/dim:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_10/expand_dims/ExpandDims"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_10/Bucketize"
op: "Bucketize"
input: "QNetwork/EncodingNetwork/lambda_10/expand_dims/ExpandDims:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "boundaries"
value {
list {
f: 13
f: 38
f: 56
f: 70
f: 82
f: 94
f: 104
f: 114
f: 123
f: 131
f: 139
f: 148
f: 152
f: 153
f: 158
f: 163
f: 170
f: 174
f: 178
f: 180
f: 183
f: 186
f: 188
f: 190
f: 192
f: 196
f: 198
f: 201
f: 205
f: 208
f: 212
f: 215
f: 219
f: 221
f: 225
f: 227
f: 229
f: 232
f: 233
f: 236
f: 239
f: 242
f: 245
f: 248
f: 250
f: 252
f: 254
f: 256
f: 259
f: 261
f: 264
f: 267
f: 270
f: 272
f: 275
f: 278
f: 280
f: 283
f: 285
f: 287
f: 290
f: 293
f: 295
f: 297
f: 300
f: 303
f: 305
f: 308
f: 311
f: 313
f: 316
f: 319
f: 322
f: 325
f: 329
f: 331
f: 333
f: 336
f: 338
f: 340
f: 343
f: 345
f: 347
f: 347
f: 349
f: 351
f: 353
f: 355
f: 357
f: 359
f: 361
f: 363
f: 365
f: 368
f: 369
f: 371
f: 373
f: 375
f: 377
f: 380
f: 382
f: 385
f: 387
f: 389
f: 391
f: 394
f: 396
f: 398
f: 400
f: 403
f: 405
f: 408
f: 410
f: 412
f: 415
f: 417
f: 420
f: 422
f: 425
f: 427
f: 429
f: 432
f: 434
f: 437
f: 439
f: 442
f: 444
f: 446
f: 449
f: 451
f: 454
f: 456
f: 458
f: 461
f: 463
f: 466
f: 469
f: 472
f: 474
f: 476
f: 479
f: 482
f: 483
f: 486
f: 489
f: 492
f: 495
f: 498
f: 500
f: 503
f: 505
f: 508
f: 510
f: 513
f: 516
f: 519
f: 522
f: 524
f: 528
f: 530
f: 533
f: 536
f: 539
f: 541
f: 544
f: 547
f: 550
f: 553
f: 556
f: 559
f: 561
f: 563
f: 567
f: 570
f: 572
f: 575
f: 577
f: 580
f: 584
f: 586
f: 589
f: 592
f: 595
f: 598
f: 601
f: 605
f: 607
f: 611
f: 613
f: 617
f: 620
f: 623
f: 626
f: 629
f: 632
f: 635
f: 639
f: 642
f: 645
f: 648
f: 651
f: 654
f: 657
f: 660
f: 662
f: 666
f: 669
f: 672
f: 676
f: 679
f: 682
f: 685
f: 688
f: 690
f: 693
f: 696
f: 699
f: 702
f: 705
f: 709
f: 712
f: 714
f: 718
f: 721
f: 724
f: 726
f: 728
f: 729
f: 731
f: 734
f: 737
f: 741
f: 745
f: 748
f: 750
f: 753
f: 756
f: 760
f: 763
f: 766
f: 770
f: 773
f: 776
f: 779
f: 782
f: 786
f: 788
f: 793
f: 796
f: 798
f: 802
f: 805
f: 808
f: 811
f: 815
f: 818
f: 820
f: 824
f: 827
f: 829
f: 832
f: 835
f: 838
f: 842
f: 846
f: 849
f: 854
f: 857
f: 860
f: 864
f: 867
f: 871
f: 875
f: 879
f: 882
f: 887
f: 890
f: 893
f: 897
f: 901
f: 905
f: 908
f: 911
f: 915
f: 918
f: 921
f: 925
f: 929
f: 932
f: 934
f: 937
f: 940
f: 943
f: 946
f: 950
f: 953
f: 956
f: 961
f: 965
f: 969
f: 973
f: 976
f: 980
f: 982
f: 985
f: 990
f: 994
f: 997
f: 1001
f: 1005
f: 1007
f: 1010
f: 1014
f: 1018
f: 1022
f: 1025
f: 1028
f: 1033
f: 1035
f: 1038
f: 1042
f: 1047
f: 1052
f: 1056
f: 1060
f: 1063
f: 1067
f: 1071
f: 1075
f: 1079
f: 1083
f: 1086
f: 1088
f: 1092
f: 1097
f: 1102
f: 1106
f: 1109
f: 1113
f: 1117
f: 1120
f: 1125
f: 1129
f: 1134
f: 1137
f: 1142
f: 1146
f: 1150
f: 1151
f: 1155
f: 1159
f: 1162
f: 1166
f: 1170
f: 1174
f: 1177
f: 1181
f: 1185
f: 1188
f: 1193
f: 1196
f: 1203
f: 1207
f: 1212
f: 1214
f: 1217
f: 1220
f: 1222
f: 1222
f: 1226
f: 1229
f: 1233
f: 1237
f: 1241
f: 1246
f: 1250
f: 1253
f: 1257
f: 1262
f: 1267
f: 1272
f: 1278
f: 1283
f: 1287
f: 1293
f: 1297
f: 1301
f: 1304
f: 1309
f: 1315
f: 1320
f: 1325
f: 1329
f: 1333
f: 1336
f: 1341
f: 1344
f: 1348
f: 1351
f: 1357
f: 1363
f: 1368
f: 1374
f: 1379
f: 1383
f: 1386
f: 1391
f: 1395
f: 1399
f: 1403
f: 1407
f: 1410
f: 1415
f: 1418
f: 1423
f: 1428
f: 1432
f: 1436
f: 1438
f: 1442
f: 1446
f: 1450
f: 1454
f: 1462
f: 1467
f: 1472
f: 1477
f: 1483
f: 1488
f: 1492
f: 1496
f: 1503
f: 1508
f: 1513
f: 1518
f: 1520
f: 1526
f: 1531
f: 1534
f: 1538
f: 1542
f: 1546
f: 1552
f: 1558
f: 1564
f: 1568
f: 1573
f: 1578
f: 1581
f: 1590
f: 1596
f: 1601
f: 1606
f: 1611
f: 1616
f: 1622
f: 1629
f: 1634
f: 1640
f: 1647
f: 1651
f: 1657
f: 1660
f: 1665
f: 1672
f: 1678
f: 1686
f: 1692
f: 1698
f: 1704
f: 1709
f: 1714
f: 1719
f: 1724
f: 1730
f: 1737
f: 1744
f: 1751
f: 1755
f: 1761
f: 1764
f: 1772
f: 1778
f: 1784
f: 1789
f: 1799
f: 1804
f: 1811
f: 1819
f: 1825
f: 1830
f: 1838
f: 1849
f: 1858
f: 1862
f: 1868
f: 1872
f: 1878
f: 1885
f: 1888
f: 1892
f: 1897
f: 1902
f: 1907
f: 1919
f: 1926
f: 1932
f: 1936
f: 1941
f: 1946
f: 1952
f: 1960
f: 1968
f: 1977
f: 1985
f: 1992
f: 1997
f: 2006
f: 2012
f: 2018
f: 2026
f: 2034
f: 2044
f: 2050
f: 2057
f: 2064
f: 2069
f: 2075
f: 2082
f: 2091
f: 2098
f: 2107
f: 2122
f: 2126
f: 2135
f: 2146
f: 2149
f: 2157
f: 2163
f: 2172
f: 2178
f: 2184
f: 2191
f: 2198
f: 2208
f: 2216
f: 2223
f: 2235
f: 2242
f: 2252
f: 2263
f: 2272
f: 2277
f: 2288
f: 2296
f: 2306
f: 2311
f: 2318
f: 2323
f: 2334
f: 2341
f: 2356
f: 2366
f: 2373
f: 2379
f: 2386
f: 2407
f: 2416
f: 2423
f: 2432
f: 2438
f: 2448
f: 2453
f: 2464
f: 2473
f: 2473
f: 2481
f: 2492
f: 2504
f: 2511
f: 2523
f: 2529
f: 2537
f: 2545
f: 2556
f: 2566
f: 2575
f: 2584
f: 2592
f: 2602
f: 2613
f: 2624
f: 2636
f: 2643
f: 2647
f: 2652
f: 2664
f: 2675
f: 2688
f: 2693
f: 2702
f: 2709
f: 2722
f: 2739
f: 2754
f: 2766
f: 2776
f: 2786
f: 2799
f: 2810
f: 2832
f: 2840
f: 2849
f: 2860
f: 2873
f: 2889
f: 2908
f: 2914
f: 2926
f: 2939
f: 2950
f: 2961
f: 2969
f: 2978
f: 2990
f: 2999
f: 3023
f: 3032
f: 3049
f: 3066
f: 3085
f: 3101
f: 3107
f: 3117
f: 3129
f: 3144
f: 3167
f: 3190
f: 3212
f: 3229
f: 3238
f: 3264
f: 3293
f: 3302
f: 3309
f: 3314
f: 3323
f: 3344
f: 3352
f: 3362
f: 3390
f: 3400
f: 3411
f: 3435
f: 3456
f: 3470
f: 3485
f: 3498
f: 3505
f: 3519
f: 3539
f: 3545
f: 3545
f: 3560
f: 3576
f: 3597
f: 3607
f: 3621
f: 3641
f: 3665
f: 3679
f: 3701
f: 3714
f: 3733
f: 3741
f: 3745
f: 3757
f: 3773
f: 3787
f: 3795
f: 3805
f: 3822
f: 3835
f: 3844
f: 3861
f: 3872
f: 3878
f: 3897
f: 3919
f: 3941
f: 3971
f: 4004
f: 4014
f: 4019
f: 4061
f: 4068
f: 4089
f: 4108
f: 4117
f: 4125
f: 4146
f: 4165
f: 4194
f: 4204
f: 4224
f: 4236
f: 4263
f: 4290
f: 4301
f: 4319
f: 4326
f: 4347
f: 4369
f: 4386
f: 4413
f: 4435
f: 4451
f: 4451
f: 4451
f: 4476
f: 4500
f: 4539
f: 4579
f: 4592
f: 4600
f: 4622
f: 4650
f: 4683
f: 4714
f: 4742
f: 4755
f: 4771
f: 4788
f: 4816
f: 4828
f: 4831
f: 4831
f: 4831
f: 4843
f: 4852
f: 4865
f: 4896
f: 4915
f: 4931
f: 4952
f: 4965
f: 4983
f: 5007
f: 5043
f: 5061
f: 5081
f: 5095
f: 5122
f: 5143
f: 5171
f: 5204
f: 5226
f: 5233
f: 5250
f: 5281
f: 5320
f: 5323
f: 5328
f: 5345
f: 5374
f: 5413
f: 5466
f: 5492
f: 5524
f: 5555
f: 5567
f: 5610
f: 5676
f: 5701
f: 5716
f: 5744
f: 5768
f: 5795
f: 5818
f: 5854
f: 5906
f: 5934
f: 5960
f: 5975
f: 5993
f: 6025
f: 6034
f: 6051
f: 6082
f: 6106
f: 6125
f: 6159
f: 6187
f: 6242
f: 6287
f: 6311
f: 6332
f: 6348
f: 6358
f: 6368
f: 6377
f: 6402
f: 6407
f: 6428
f: 6450
f: 6475
f: 6498
f: 6505
f: 6533
f: 6565
f: 6580
f: 6595
f: 6611
f: 6654
f: 6658
f: 6705
f: 6751
f: 6786
f: 6828
f: 6876
f: 6896
f: 6948
f: 6964
f: 7065
f: 7082
f: 7118
f: 7184
f: 7214
f: 7271
f: 7310
f: 7357
f: 7405
f: 7506
f: 7613
f: 7641
f: 7675
f: 7720
f: 7781
f: 7833
f: 7860
f: 7898
f: 7929
f: 8044
f: 8104
f: 8148
f: 8236
f: 8273
f: 8313
f: 8349
f: 8381
f: 8409
f: 8498
f: 8507
f: 8524
f: 8570
f: 8607
f: 8630
f: 8637
f: 8675
f: 8700
f: 8714
f: 8734
f: 8776
f: 8836
f: 8854
f: 8867
f: 8868
f: 9065
f: 9113
f: 9121
f: 9241
f: 9357
f: 9360
f: 9585
f: 9613
f: 9684
f: 9727
f: 9751
f: 9777
f: 9802
f: 9889
f: 9903
f: 9914
f: 9978
f: 10061
f: 10192
f: 10213
f: 10345
f: 10369
f: 10404
f: 10430
f: 10471
f: 10481
f: 10489
f: 10492
f: 10494
f: 10524
f: 10554
f: 10557
f: 10560
f: 10562
f: 10641
f: 10716
f: 10842
f: 10897
f: 10967
f: 11053
f: 11128
f: 11137
f: 11328
f: 11336
f: 11401
f: 11532
f: 11573
f: 11860
f: 11880
f: 12013
f: 12305
f: 12358
f: 12386
f: 12404
f: 12456
f: 12456
f: 12476
f: 12615
f: 12677
f: 12981
f: 13094
f: 13197
f: 13708
f: 13717
f: 13788
f: 14049
f: 14112
f: 14224
f: 14257
f: 14681
f: 14901
f: 15006
f: 15071
f: 15100
f: 15248
f: 15669
f: 15877
f: 15953
f: 15953
f: 16066
f: 16072
f: 16271
f: 16292
f: 16386
f: 16490
f: 16633
f: 16670
f: 16834
f: 16896
f: 17543
f: 17693
f: 17800
f: 17859
f: 18397
f: 18811
f: 18826
f: 18971
f: 19304
f: 19319
f: 19695
f: 20378
f: 20865
f: 21313
f: 21330
f: 22321
f: 22760
f: 22770
f: 23783
f: 23785
f: 24525
f: 24844
f: 24848
f: 24964
f: 24966
f: 27468
f: 27478
f: 27555
f: 27555
f: 28215
f: 28219
f: 28336
f: 28490
f: 30213
f: 30228
f: 30242
f: 34116
f: 43518
f: 43518
f: 43518
f: 43852
f: 43852
f: 43852
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_10/Bucketize"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_10/Cast"
op: "Cast"
input: "QNetwork/EncodingNetwork/lambda_10/Bucketize:output:0"
attr {
key: "DstT"
value {
type: DT_FLOAT
}
}
attr {
key: "SrcT"
value {
type: DT_INT32
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_10/Cast"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_10/truediv/y"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_FLOAT
tensor_shape {
}
float_val: 999
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_10/truediv/y"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_10/truediv"
op: "RealDiv"
input: "QNetwork/EncodingNetwork/lambda_10/Cast:y:0"
input: "QNetwork/EncodingNetwork/lambda_10/truediv/y:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_10/truediv"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_10/Sqrt"
op: "Sqrt"
input: "QNetwork/EncodingNetwork/lambda_10/truediv:z:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_10/Sqrt"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_10/mul"
op: "Mul"
input: "QNetwork/EncodingNetwork/lambda_10/truediv:z:0"
input: "QNetwork/EncodingNetwork/lambda_10/truediv:z:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_10/mul"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_10/concat/axis"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_10/concat/axis"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_10/concat"
op: "ConcatV2"
input: "QNetwork/EncodingNetwork/lambda_10/truediv:z:0"
input: "QNetwork/EncodingNetwork/lambda_10/Sqrt:y:0"
input: "QNetwork/EncodingNetwork/lambda_10/mul:z:0"
input: "QNetwork/EncodingNetwork/lambda_10/concat/axis:output:0"
attr {
key: "N"
value {
i: 3
}
}
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 3
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_10/concat"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_11/expand_dims/ExpandDims/dim"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_11/expand_dims/ExpandDims/dim"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_11/expand_dims/ExpandDims"
op: "ExpandDims"
input: "time_step_14"
input: "QNetwork/EncodingNetwork/lambda_11/expand_dims/ExpandDims/dim:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_11/expand_dims/ExpandDims"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_11/Bucketize"
op: "Bucketize"
input: "QNetwork/EncodingNetwork/lambda_11/expand_dims/ExpandDims:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
attr {
key: "boundaries"
value {
list {
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 0
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 1
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 2
f: 3
f: 4
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_11/Bucketize"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_11/Cast"
op: "Cast"
input: "QNetwork/EncodingNetwork/lambda_11/Bucketize:output:0"
attr {
key: "DstT"
value {
type: DT_FLOAT
}
}
attr {
key: "SrcT"
value {
type: DT_INT32
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_11/Cast"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_11/truediv/y"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_FLOAT
tensor_shape {
}
float_val: 999
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_11/truediv/y"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_11/truediv"
op: "RealDiv"
input: "QNetwork/EncodingNetwork/lambda_11/Cast:y:0"
input: "QNetwork/EncodingNetwork/lambda_11/truediv/y:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_11/truediv"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_11/Sqrt"
op: "Sqrt"
input: "QNetwork/EncodingNetwork/lambda_11/truediv:z:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_11/Sqrt"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_11/mul"
op: "Mul"
input: "QNetwork/EncodingNetwork/lambda_11/truediv:z:0"
input: "QNetwork/EncodingNetwork/lambda_11/truediv:z:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_11/mul"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_11/concat/axis"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_11/concat/axis"
}
}
node_def {
name: "QNetwork/EncodingNetwork/lambda_11/concat"
op: "ConcatV2"
input: "QNetwork/EncodingNetwork/lambda_11/truediv:z:0"
input: "QNetwork/EncodingNetwork/lambda_11/Sqrt:y:0"
input: "QNetwork/EncodingNetwork/lambda_11/mul:z:0"
input: "QNetwork/EncodingNetwork/lambda_11/concat/axis:output:0"
attr {
key: "N"
value {
i: 3
}
}
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 3
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/lambda_11/concat"
}
}
node_def {
name: "QNetwork/EncodingNetwork/concatenate/concat/axis"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: 1
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/concatenate/concat/axis"
}
}
node_def {
name: "QNetwork/EncodingNetwork/concatenate/concat"
op: "ConcatV2"
input: "QNetwork/EncodingNetwork/lambda/concat:output:0"
input: "QNetwork/EncodingNetwork/lambda_1/concat:output:0"
input: "QNetwork/EncodingNetwork/lambda_2/concat:output:0"
input: "QNetwork/EncodingNetwork/lambda_3/concat:output:0"
input: "QNetwork/EncodingNetwork/lambda_4/concat:output:0"
input: "QNetwork/EncodingNetwork/lambda_5/concat:output:0"
input: "QNetwork/EncodingNetwork/lambda_6/concat:output:0"
input: "QNetwork/EncodingNetwork/lambda_7/concat:output:0"
input: "QNetwork/EncodingNetwork/lambda_8/concat:output:0"
input: "QNetwork/EncodingNetwork/lambda_9/zeros_like:output:0"
input: "QNetwork/EncodingNetwork/lambda_10/concat:output:0"
input: "QNetwork/EncodingNetwork/lambda_11/concat:output:0"
input: "QNetwork/EncodingNetwork/concatenate/concat/axis:output:0"
attr {
key: "N"
value {
i: 12
}
}
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 34
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/concatenate/concat"
}
}
node_def {
name: "QNetwork/EncodingNetwork/flatten/Const"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 2
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
dim {
size: 2
}
}
tensor_content: "\377\377\377\377\"\000\000\000"
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/flatten/Const"
}
}
node_def {
name: "QNetwork/EncodingNetwork/flatten/Reshape"
op: "Reshape"
input: "QNetwork/EncodingNetwork/concatenate/concat:output:0"
input: "QNetwork/EncodingNetwork/flatten/Const:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 34
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/flatten/Reshape"
}
}
node_def {
name: "QNetwork/EncodingNetwork/dense/MatMul/ReadVariableOp"
op: "ReadVariableOp"
input: "qnetwork_encodingnetwork_dense_matmul_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 34
}
dim {
size: 100
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/dense/MatMul/ReadVariableOp"
}
}
node_def {
name: "QNetwork/EncodingNetwork/dense/MatMul"
op: "MatMul"
input: "QNetwork/EncodingNetwork/flatten/Reshape:output:0"
input: "QNetwork/EncodingNetwork/dense/MatMul/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 100
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/dense/MatMul"
}
}
node_def {
name: "QNetwork/EncodingNetwork/dense/BiasAdd/ReadVariableOp"
op: "ReadVariableOp"
input: "qnetwork_encodingnetwork_dense_biasadd_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 100
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/dense/BiasAdd/ReadVariableOp"
}
}
node_def {
name: "QNetwork/EncodingNetwork/dense/BiasAdd"
op: "BiasAdd"
input: "QNetwork/EncodingNetwork/dense/MatMul:product:0"
input: "QNetwork/EncodingNetwork/dense/BiasAdd/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 100
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/dense/BiasAdd"
}
}
node_def {
name: "QNetwork/EncodingNetwork/dense/Relu"
op: "Relu"
input: "QNetwork/EncodingNetwork/dense/BiasAdd:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 100
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/dense/Relu"
}
}
node_def {
name: "QNetwork/EncodingNetwork/dense_1/MatMul/ReadVariableOp"
op: "ReadVariableOp"
input: "qnetwork_encodingnetwork_dense_1_matmul_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 100
}
dim {
size: 40
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/dense_1/MatMul/ReadVariableOp"
}
}
node_def {
name: "QNetwork/EncodingNetwork/dense_1/MatMul"
op: "MatMul"
input: "QNetwork/EncodingNetwork/dense/Relu:activations:0"
input: "QNetwork/EncodingNetwork/dense_1/MatMul/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 40
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/dense_1/MatMul"
}
}
node_def {
name: "QNetwork/EncodingNetwork/dense_1/BiasAdd/ReadVariableOp"
op: "ReadVariableOp"
input: "qnetwork_encodingnetwork_dense_1_biasadd_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 40
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/dense_1/BiasAdd/ReadVariableOp"
}
}
node_def {
name: "QNetwork/EncodingNetwork/dense_1/BiasAdd"
op: "BiasAdd"
input: "QNetwork/EncodingNetwork/dense_1/MatMul:product:0"
input: "QNetwork/EncodingNetwork/dense_1/BiasAdd/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 40
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/dense_1/BiasAdd"
}
}
node_def {
name: "QNetwork/EncodingNetwork/dense_1/Relu"
op: "Relu"
input: "QNetwork/EncodingNetwork/dense_1/BiasAdd:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 40
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/EncodingNetwork/dense_1/Relu"
}
}
node_def {
name: "QNetwork/dense_2/MatMul/ReadVariableOp"
op: "ReadVariableOp"
input: "qnetwork_dense_2_matmul_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 40
}
dim {
size: 2
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "QNetwork/dense_2/MatMul/ReadVariableOp"
}
}
node_def {
name: "QNetwork/dense_2/MatMul"
op: "MatMul"
input: "QNetwork/EncodingNetwork/dense_1/Relu:activations:0"
input: "QNetwork/dense_2/MatMul/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 2
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/dense_2/MatMul"
}
}
node_def {
name: "QNetwork/dense_2/BiasAdd/ReadVariableOp"
op: "ReadVariableOp"
input: "qnetwork_dense_2_biasadd_readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 2
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "QNetwork/dense_2/BiasAdd/ReadVariableOp"
}
}
node_def {
name: "QNetwork/dense_2/BiasAdd"
op: "BiasAdd"
input: "QNetwork/dense_2/MatMul:product:0"
input: "QNetwork/dense_2/BiasAdd/ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 2
}
}
}
}
}
experimental_debug_info {
original_node_names: "QNetwork/dense_2/BiasAdd"
}
}
node_def {
name: "ShiftedCategorical_1/mode/ArgMax/dimension"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: -1
}
}
}
experimental_debug_info {
original_node_names: "ShiftedCategorical_1/mode/ArgMax/dimension"
}
}
node_def {
name: "ShiftedCategorical_1/mode/ArgMax"
op: "ArgMax"
input: "QNetwork/dense_2/BiasAdd:output:0"
input: "ShiftedCategorical_1/mode/ArgMax/dimension:output:0"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "ShiftedCategorical_1/mode/ArgMax"
}
}
node_def {
name: "add/y"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT64
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT64
tensor_shape {
}
int64_val: 0
}
}
}
experimental_debug_info {
original_node_names: "add/y"
}
}
node_def {
name: "add"
op: "AddV2"
input: "ShiftedCategorical_1/mode/ArgMax:output:0"
input: "add/y:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "add"
}
}
node_def {
name: "Deterministic/atol"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT64
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT64
tensor_shape {
}
int64_val: 0
}
}
}
experimental_debug_info {
original_node_names: "Deterministic/atol"
}
}
node_def {
name: "Deterministic/rtol"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT64
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT64
tensor_shape {
}
int64_val: 0
}
}
}
experimental_debug_info {
original_node_names: "Deterministic/rtol"
}
}
node_def {
name: "Deterministic_1/sample/sample_shape/x"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_FLOAT
tensor_shape {
dim {
}
}
}
}
}
experimental_debug_info {
original_node_names: "Deterministic_1/sample/sample_shape/x"
}
}
node_def {
name: "Deterministic_1/sample/sample_shape"
op: "Cast"
input: "Deterministic_1/sample/sample_shape/x:output:0"
attr {
key: "DstT"
value {
type: DT_INT32
}
}
attr {
key: "SrcT"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
}
}
}
}
}
experimental_debug_info {
original_node_names: "Deterministic_1/sample/sample_shape"
}
}
node_def {
name: "Deterministic_1/sample/Shape"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
dim {
size: 1
}
}
int_val: 1
}
}
}
experimental_debug_info {
original_node_names: "Deterministic_1/sample/Shape"
}
}
node_def {
name: "Deterministic_1/sample/Shape_1"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
dim {
}
}
}
}
}
experimental_debug_info {
original_node_names: "Deterministic_1/sample/Shape_1"
}
}
node_def {
name: "Deterministic_1/sample/Shape_2"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
dim {
}
}
}
}
}
experimental_debug_info {
original_node_names: "Deterministic_1/sample/Shape_2"
}
}
node_def {
name: "Deterministic_1/sample/BroadcastArgs"
op: "BroadcastArgs"
input: "Deterministic_1/sample/Shape_1:output:0"
input: "Deterministic_1/sample/Shape_2:output:0"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
}
}
}
}
}
experimental_debug_info {
original_node_names: "Deterministic_1/sample/BroadcastArgs"
}
}
node_def {
name: "Deterministic_1/sample/BroadcastArgs_1"
op: "BroadcastArgs"
input: "Deterministic_1/sample/Shape:output:0"
input: "Deterministic_1/sample/BroadcastArgs:r0:0"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Deterministic_1/sample/BroadcastArgs_1"
}
}
node_def {
name: "Deterministic_1/sample/Const"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
dim {
}
}
}
}
}
experimental_debug_info {
original_node_names: "Deterministic_1/sample/Const"
}
}
node_def {
name: "Deterministic_1/sample/concat/values_0"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
dim {
size: 1
}
}
int_val: 1
}
}
}
experimental_debug_info {
original_node_names: "Deterministic_1/sample/concat/values_0"
}
}
node_def {
name: "Deterministic_1/sample/concat/axis"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: 0
}
}
}
experimental_debug_info {
original_node_names: "Deterministic_1/sample/concat/axis"
}
}
node_def {
name: "Deterministic_1/sample/concat"
op: "ConcatV2"
input: "Deterministic_1/sample/concat/values_0:output:0"
input: "Deterministic_1/sample/BroadcastArgs_1:r0:0"
input: "Deterministic_1/sample/Const:output:0"
input: "Deterministic_1/sample/concat/axis:output:0"
attr {
key: "N"
value {
i: 3
}
}
attr {
key: "T"
value {
type: DT_INT32
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 2
}
}
}
}
}
experimental_debug_info {
original_node_names: "Deterministic_1/sample/concat"
}
}
node_def {
name: "Deterministic_1/sample/BroadcastTo"
op: "BroadcastTo"
input: "add:z:0"
input: "Deterministic_1/sample/concat:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Deterministic_1/sample/BroadcastTo"
}
}
node_def {
name: "Deterministic_1/sample/Shape_3"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 2
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
dim {
size: 2
}
}
tensor_content: "\001\000\000\000\001\000\000\000"
}
}
}
experimental_debug_info {
original_node_names: "Deterministic_1/sample/Shape_3"
}
}
node_def {
name: "Deterministic_1/sample/strided_slice/stack"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
dim {
size: 1
}
}
int_val: 1
}
}
}
experimental_debug_info {
original_node_names: "Deterministic_1/sample/strided_slice/stack"
}
}
node_def {
name: "Deterministic_1/sample/strided_slice/stack_1"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
dim {
size: 1
}
}
int_val: 0
}
}
}
experimental_debug_info {
original_node_names: "Deterministic_1/sample/strided_slice/stack_1"
}
}
node_def {
name: "Deterministic_1/sample/strided_slice/stack_2"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
dim {
size: 1
}
}
int_val: 1
}
}
}
experimental_debug_info {
original_node_names: "Deterministic_1/sample/strided_slice/stack_2"
}
}
node_def {
name: "Deterministic_1/sample/strided_slice"
op: "StridedSlice"
input: "Deterministic_1/sample/Shape_3:output:0"
input: "Deterministic_1/sample/strided_slice/stack:output:0"
input: "Deterministic_1/sample/strided_slice/stack_1:output:0"
input: "Deterministic_1/sample/strided_slice/stack_2:output:0"
attr {
key: "Index"
value {
type: DT_INT32
}
}
attr {
key: "T"
value {
type: DT_INT32
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "end_mask"
value {
i: 1
}
}
experimental_debug_info {
original_node_names: "Deterministic_1/sample/strided_slice"
}
}
node_def {
name: "Deterministic_1/sample/concat_1/axis"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: 0
}
}
}
experimental_debug_info {
original_node_names: "Deterministic_1/sample/concat_1/axis"
}
}
node_def {
name: "Deterministic_1/sample/concat_1"
op: "ConcatV2"
input: "Deterministic_1/sample/sample_shape:y:0"
input: "Deterministic_1/sample/strided_slice:output:0"
input: "Deterministic_1/sample/concat_1/axis:output:0"
attr {
key: "N"
value {
i: 2
}
}
attr {
key: "T"
value {
type: DT_INT32
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Deterministic_1/sample/concat_1"
}
}
node_def {
name: "Deterministic_1/sample/Reshape"
op: "Reshape"
input: "Deterministic_1/sample/BroadcastTo:output:0"
input: "Deterministic_1/sample/concat_1:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Deterministic_1/sample/Reshape"
}
}
node_def {
name: "clip_by_value/Minimum/y"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT64
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT64
tensor_shape {
}
int64_val: 1
}
}
}
experimental_debug_info {
original_node_names: "clip_by_value/Minimum/y"
}
}
node_def {
name: "clip_by_value/Minimum"
op: "Minimum"
input: "Deterministic_1/sample/Reshape:output:0"
input: "clip_by_value/Minimum/y:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "clip_by_value/Minimum"
}
}
node_def {
name: "clip_by_value/y"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT64
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT64
tensor_shape {
}
int64_val: 0
}
}
}
experimental_debug_info {
original_node_names: "clip_by_value/y"
}
}
node_def {
name: "clip_by_value"
op: "Maximum"
input: "clip_by_value/Minimum:z:0"
input: "clip_by_value/y:output:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "clip_by_value"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "clip_by_value:z:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 3
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 4
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 5
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 6
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 7
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 8
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 9
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 10
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 11
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 12
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 13
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 14
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 15
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 16
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 17
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 18
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 19
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 20
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_signature_wrapper_4619033"
}
node_def {
name: "PartitionedCall"
op: "PartitionedCall"
attr {
key: "Tin"
value {
list {
}
}
}
attr {
key: "Tout"
value {
list {
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0012\005*\0010J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_function_with_signature_4619029"
}
}
}
experimental_debug_info {
original_node_names: "PartitionedCall"
}
}
attr {
key: "_input_shapes"
value {
}
}
}
function {
signature {
name: "__inference__traced_save_4619143"
input_arg {
name: "file_prefix"
type: DT_STRING
}
input_arg {
name: "savev2_train_step_read_readvariableop"
type: DT_INT64
}
input_arg {
name: "savev2_qnetwork_encodingnetwork_dense_kernel_read_readvariableop"
type: DT_FLOAT
}
input_arg {
name: "savev2_qnetwork_encodingnetwork_dense_bias_read_readvariableop"
type: DT_FLOAT
}
input_arg {
name: "savev2_qnetwork_encodingnetwork_dense_1_kernel_read_readvariableop"
type: DT_FLOAT
}
input_arg {
name: "savev2_qnetwork_encodingnetwork_dense_1_bias_read_readvariableop"
type: DT_FLOAT
}
input_arg {
name: "savev2_qnetwork_dense_2_kernel_read_readvariableop"
type: DT_FLOAT
}
input_arg {
name: "savev2_qnetwork_dense_2_bias_read_readvariableop"
type: DT_FLOAT
}
input_arg {
name: "savev2_1_const"
type: DT_STRING
}
output_arg {
name: "identity_1"
type: DT_STRING
}
is_stateful: true
control_output: "MergeV2Checkpoints"
control_output: "SaveV2"
control_output: "SaveV2_1"
}
node_def {
name: "StaticRegexFullMatch"
op: "StaticRegexFullMatch"
input: "file_prefix"
device: "/device:CPU:*"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "pattern"
value {
s: "^s3://.*"
}
}
experimental_debug_info {
original_node_names: "StaticRegexFullMatch"
}
}
node_def {
name: "Const"
op: "Const"
device: "/device:CPU:*"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_STRING
tensor_shape {
}
string_val: ".part"
}
}
}
experimental_debug_info {
original_node_names: "Const"
}
}
node_def {
name: "Const_1"
op: "Const"
device: "/device:CPU:*"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_STRING
tensor_shape {
}
string_val: "_temp_f4c8d2e64931472295be68a11e57e937/part"
}
}
}
experimental_debug_info {
original_node_names: "Const_1"
}
}
node_def {
name: "Select"
op: "Select"
input: "StaticRegexFullMatch:output:0"
input: "Const:output:0"
input: "Const_1:output:0"
device: "/device:CPU:*"
attr {
key: "T"
value {
type: DT_STRING
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
experimental_debug_info {
original_node_names: "Select"
}
}
node_def {
name: "StringJoin"
op: "StringJoin"
input: "file_prefix"
input: "Select:output:0"
device: "/device:CPU:*"
attr {
key: "N"
value {
i: 2
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
experimental_debug_info {
original_node_names: "StringJoin"
}
}
node_def {
name: "num_shards"
op: "Const"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: 2
}
}
}
experimental_debug_info {
original_node_names: "num_shards"
}
}
node_def {
name: "ShardedFilename/shard"
op: "Const"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: 0
}
}
}
experimental_debug_info {
original_node_names: "ShardedFilename/shard"
}
}
node_def {
name: "ShardedFilename"
op: "ShardedFilename"
input: "StringJoin:output:0"
input: "ShardedFilename/shard:output:0"
input: "num_shards:output:0"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
experimental_debug_info {
original_node_names: "ShardedFilename"
}
}
node_def {
name: "SaveV2/tensor_names"
op: "Const"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 7
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_STRING
tensor_shape {
dim {
size: 7
}
}
string_val: "train_step/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "model_variables/0/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "model_variables/1/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "model_variables/2/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "model_variables/3/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "model_variables/4/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "model_variables/5/.ATTRIBUTES/VARIABLE_VALUE"
}
}
}
experimental_debug_info {
original_node_names: "SaveV2/tensor_names"
}
}
node_def {
name: "SaveV2/shape_and_slices"
op: "Const"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 7
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_STRING
tensor_shape {
dim {
size: 7
}
}
string_val: ""
string_val: ""
string_val: ""
string_val: ""
string_val: ""
string_val: ""
string_val: ""
}
}
}
experimental_debug_info {
original_node_names: "SaveV2/shape_and_slices"
}
}
node_def {
name: "SaveV2"
op: "SaveV2"
input: "ShardedFilename:filename:0"
input: "SaveV2/tensor_names:output:0"
input: "SaveV2/shape_and_slices:output:0"
input: "savev2_train_step_read_readvariableop"
input: "savev2_qnetwork_encodingnetwork_dense_kernel_read_readvariableop"
input: "savev2_qnetwork_encodingnetwork_dense_bias_read_readvariableop"
input: "savev2_qnetwork_encodingnetwork_dense_1_kernel_read_readvariableop"
input: "savev2_qnetwork_encodingnetwork_dense_1_bias_read_readvariableop"
input: "savev2_qnetwork_dense_2_kernel_read_readvariableop"
input: "savev2_qnetwork_dense_2_bias_read_readvariableop"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
attr {
key: "dtypes"
value {
list {
type: DT_INT64
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
}
}
}
experimental_debug_info {
original_node_names: "SaveV2"
}
}
node_def {
name: "ShardedFilename_1/shard"
op: "Const"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT32
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_INT32
tensor_shape {
}
int_val: 1
}
}
}
experimental_debug_info {
original_node_names: "ShardedFilename_1/shard"
}
}
node_def {
name: "ShardedFilename_1"
op: "ShardedFilename"
input: "StringJoin:output:0"
input: "ShardedFilename_1/shard:output:0"
input: "num_shards:output:0"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
experimental_debug_info {
original_node_names: "ShardedFilename_1"
}
}
node_def {
name: "SaveV2_1/tensor_names"
op: "Const"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_STRING
tensor_shape {
dim {
size: 1
}
}
string_val: "_CHECKPOINTABLE_OBJECT_GRAPH"
}
}
}
experimental_debug_info {
original_node_names: "SaveV2_1/tensor_names"
}
}
node_def {
name: "SaveV2_1/shape_and_slices"
op: "Const"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_STRING
tensor_shape {
dim {
size: 1
}
}
string_val: ""
}
}
}
experimental_debug_info {
original_node_names: "SaveV2_1/shape_and_slices"
}
}
node_def {
name: "SaveV2_1"
op: "SaveV2"
input: "ShardedFilename_1:filename:0"
input: "SaveV2_1/tensor_names:output:0"
input: "SaveV2_1/shape_and_slices:output:0"
input: "savev2_1_const"
input: "^SaveV2"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
attr {
key: "dtypes"
value {
list {
type: DT_STRING
}
}
}
experimental_debug_info {
original_node_names: "SaveV2_1"
}
}
node_def {
name: "MergeV2Checkpoints/checkpoint_prefixes"
op: "Pack"
input: "ShardedFilename:filename:0"
input: "ShardedFilename_1:filename:0"
input: "^SaveV2"
input: "^SaveV2_1"
device: "/device:CPU:0"
attr {
key: "N"
value {
i: 2
}
}
attr {
key: "T"
value {
type: DT_STRING
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 2
}
}
}
}
}
experimental_debug_info {
original_node_names: "MergeV2Checkpoints/checkpoint_prefixes"
}
}
node_def {
name: "MergeV2Checkpoints"
op: "MergeV2Checkpoints"
input: "MergeV2Checkpoints/checkpoint_prefixes:output:0"
input: "file_prefix"
input: "^SaveV2_1"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
experimental_debug_info {
original_node_names: "MergeV2Checkpoints"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "file_prefix"
input: "^MergeV2Checkpoints"
device: "/device:CPU:0"
attr {
key: "T"
value {
type: DT_STRING
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
node_def {
name: "Identity_1"
op: "Identity"
input: "Identity:output:0"
input: "^MergeV2Checkpoints"
input: "^SaveV2"
input: "^SaveV2_1"
attr {
key: "T"
value {
type: DT_STRING
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
experimental_debug_info {
original_node_names: "Identity_1"
}
}
ret {
key: "identity_1"
value: "Identity_1:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
}
shape {
}
shape {
dim {
size: 34
}
dim {
size: 100
}
}
shape {
dim {
size: 100
}
}
shape {
dim {
size: 100
}
dim {
size: 40
}
}
shape {
dim {
size: 40
}
}
shape {
dim {
size: 40
}
dim {
size: 2
}
}
shape {
dim {
size: 2
}
}
shape {
}
}
}
}
control_ret {
key: "MergeV2Checkpoints"
value: "MergeV2Checkpoints"
}
control_ret {
key: "SaveV2"
value: "SaveV2"
}
control_ret {
key: "SaveV2_1"
value: "SaveV2_1"
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "file_prefix"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 34
}
dim {
size: 100
}
}
}
}
}
}
}
arg_attr {
key: 3
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 100
}
}
}
}
}
}
}
arg_attr {
key: 4
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 100
}
dim {
size: 40
}
}
}
}
}
}
}
arg_attr {
key: 5
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 40
}
}
}
}
}
}
}
arg_attr {
key: 6
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 40
}
dim {
size: 2
}
}
}
}
}
}
}
arg_attr {
key: 7
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 2
}
}
}
}
}
}
}
arg_attr {
key: 8
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_function_722"
}
attr {
key: "_input_shapes"
value {
}
}
}
function {
signature {
name: "__inference_signature_wrapper_4619026"
input_arg {
name: "callee_basic_block_count"
type: DT_INT64
}
input_arg {
name: "callee_conditionally_executed_blocks"
type: DT_INT64
}
input_arg {
name: "callee_users"
type: DT_INT64
}
input_arg {
name: "caller_basic_block_count"
type: DT_INT64
}
input_arg {
name: "caller_conditionally_executed_blocks"
type: DT_INT64
}
input_arg {
name: "caller_users"
type: DT_INT64
}
input_arg {
name: "callsite_height"
type: DT_INT64
}
input_arg {
name: "cost_estimate"
type: DT_INT64
}
input_arg {
name: "discount"
type: DT_FLOAT
}
input_arg {
name: "edge_count"
type: DT_INT64
}
input_arg {
name: "inlining_default"
type: DT_INT64
}
input_arg {
name: "node_count"
type: DT_INT64
}
input_arg {
name: "nr_ctant_params"
type: DT_INT64
}
input_arg {
name: "reward"
type: DT_FLOAT
}
input_arg {
name: "step_type"
type: DT_INT32
}
input_arg {
name: "unknown"
type: DT_RESOURCE
}
input_arg {
name: "unknown_0"
type: DT_RESOURCE
}
input_arg {
name: "unknown_1"
type: DT_RESOURCE
}
input_arg {
name: "unknown_2"
type: DT_RESOURCE
}
input_arg {
name: "unknown_3"
type: DT_RESOURCE
}
input_arg {
name: "unknown_4"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_INT64
}
is_stateful: true
control_output: "StatefulPartitionedCall"
}
node_def {
name: "StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "step_type"
input: "reward"
input: "discount"
input: "callee_basic_block_count"
input: "callee_conditionally_executed_blocks"
input: "callee_users"
input: "caller_basic_block_count"
input: "caller_conditionally_executed_blocks"
input: "caller_users"
input: "callsite_height"
input: "cost_estimate"
input: "edge_count"
input: "inlining_default"
input: "node_count"
input: "nr_ctant_params"
input: "unknown"
input: "unknown_0"
input: "unknown_1"
input: "unknown_2"
input: "unknown_3"
input: "unknown_4"
attr {
key: "Tin"
value {
list {
type: DT_INT32
type: DT_FLOAT
type: DT_FLOAT
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_INT64
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 15
i: 16
i: 17
i: 18
i: 19
i: 20
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0012\005*\0010J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_function_with_signature_4618993"
}
}
}
experimental_debug_info {
original_node_names: "StatefulPartitionedCall"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "StatefulPartitionedCall:output:0"
input: "^StatefulPartitionedCall"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
control_ret {
key: "StatefulPartitionedCall"
value: "StatefulPartitionedCall"
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "callee_basic_block_count"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "callee_conditionally_executed_blocks"
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "callee_users"
}
}
}
}
arg_attr {
key: 3
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "caller_basic_block_count"
}
}
}
}
arg_attr {
key: 4
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "caller_conditionally_executed_blocks"
}
}
}
}
arg_attr {
key: 5
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "caller_users"
}
}
}
}
arg_attr {
key: 6
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "callsite_height"
}
}
}
}
arg_attr {
key: 7
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "cost_estimate"
}
}
}
}
arg_attr {
key: 8
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "discount"
}
}
}
}
arg_attr {
key: 9
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "edge_count"
}
}
}
}
arg_attr {
key: 10
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "inlining_default"
}
}
}
}
arg_attr {
key: 11
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "node_count"
}
}
}
}
arg_attr {
key: 12
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "nr_ctant_params"
}
}
}
}
arg_attr {
key: 13
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "reward"
}
}
}
}
arg_attr {
key: 14
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "step_type"
}
}
}
}
arg_attr {
key: 15
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 16
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 17
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 18
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 19
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 20
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_function_with_signature_4618993"
input_arg {
name: "step_type"
type: DT_INT32
}
input_arg {
name: "reward"
type: DT_FLOAT
}
input_arg {
name: "discount"
type: DT_FLOAT
}
input_arg {
name: "callee_basic_block_count"
type: DT_INT64
}
input_arg {
name: "callee_conditionally_executed_blocks"
type: DT_INT64
}
input_arg {
name: "callee_users"
type: DT_INT64
}
input_arg {
name: "caller_basic_block_count"
type: DT_INT64
}
input_arg {
name: "caller_conditionally_executed_blocks"
type: DT_INT64
}
input_arg {
name: "caller_users"
type: DT_INT64
}
input_arg {
name: "callsite_height"
type: DT_INT64
}
input_arg {
name: "cost_estimate"
type: DT_INT64
}
input_arg {
name: "edge_count"
type: DT_INT64
}
input_arg {
name: "inlining_default"
type: DT_INT64
}
input_arg {
name: "node_count"
type: DT_INT64
}
input_arg {
name: "nr_ctant_params"
type: DT_INT64
}
input_arg {
name: "unknown"
type: DT_RESOURCE
}
input_arg {
name: "unknown_0"
type: DT_RESOURCE
}
input_arg {
name: "unknown_1"
type: DT_RESOURCE
}
input_arg {
name: "unknown_2"
type: DT_RESOURCE
}
input_arg {
name: "unknown_3"
type: DT_RESOURCE
}
input_arg {
name: "unknown_4"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_INT64
}
is_stateful: true
control_output: "StatefulPartitionedCall"
}
node_def {
name: "StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "step_type"
input: "reward"
input: "discount"
input: "callee_basic_block_count"
input: "callee_conditionally_executed_blocks"
input: "callee_users"
input: "caller_basic_block_count"
input: "caller_conditionally_executed_blocks"
input: "caller_users"
input: "callsite_height"
input: "cost_estimate"
input: "edge_count"
input: "inlining_default"
input: "node_count"
input: "nr_ctant_params"
input: "unknown"
input: "unknown_0"
input: "unknown_1"
input: "unknown_2"
input: "unknown_3"
input: "unknown_4"
attr {
key: "Tin"
value {
list {
type: DT_INT32
type: DT_FLOAT
type: DT_FLOAT
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_INT64
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 15
i: 16
i: 17
i: 18
i: 19
i: 20
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0012\005*\0010J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_polymorphic_action_fn_4618978"
}
}
}
experimental_debug_info {
original_node_names: "StatefulPartitionedCall"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "StatefulPartitionedCall:output:0"
input: "^StatefulPartitionedCall"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
control_ret {
key: "StatefulPartitionedCall"
value: "StatefulPartitionedCall"
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "step_type"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "reward"
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "discount"
}
}
}
}
arg_attr {
key: 3
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "callee_basic_block_count"
}
}
}
}
arg_attr {
key: 4
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "callee_conditionally_executed_blocks"
}
}
}
}
arg_attr {
key: 5
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "callee_users"
}
}
}
}
arg_attr {
key: 6
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "caller_basic_block_count"
}
}
}
}
arg_attr {
key: 7
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "caller_conditionally_executed_blocks"
}
}
}
}
arg_attr {
key: 8
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "caller_users"
}
}
}
}
arg_attr {
key: 9
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "callsite_height"
}
}
}
}
arg_attr {
key: 10
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "cost_estimate"
}
}
}
}
arg_attr {
key: 11
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "edge_count"
}
}
}
}
arg_attr {
key: 12
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "inlining_default"
}
}
}
}
arg_attr {
key: 13
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "node_count"
}
}
}
}
arg_attr {
key: 14
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "nr_ctant_params"
}
}
}
}
arg_attr {
key: 15
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 16
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 17
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 18
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 19
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 20
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_polymorphic_action_fn_4619080"
input_arg {
name: "time_step_step_type"
type: DT_INT32
}
input_arg {
name: "time_step_reward"
type: DT_FLOAT
}
input_arg {
name: "time_step_discount"
type: DT_FLOAT
}
input_arg {
name: "time_step_observation_callee_basic_block_count"
type: DT_INT64
}
input_arg {
name: "time_step_observation_callee_conditionally_executed_blocks"
type: DT_INT64
}
input_arg {
name: "time_step_observation_callee_users"
type: DT_INT64
}
input_arg {
name: "time_step_observation_caller_basic_block_count"
type: DT_INT64
}
input_arg {
name: "time_step_observation_caller_conditionally_executed_blocks"
type: DT_INT64
}
input_arg {
name: "time_step_observation_caller_users"
type: DT_INT64
}
input_arg {
name: "time_step_observation_callsite_height"
type: DT_INT64
}
input_arg {
name: "time_step_observation_cost_estimate"
type: DT_INT64
}
input_arg {
name: "time_step_observation_edge_count"
type: DT_INT64
}
input_arg {
name: "time_step_observation_inlining_default"
type: DT_INT64
}
input_arg {
name: "time_step_observation_node_count"
type: DT_INT64
}
input_arg {
name: "time_step_observation_nr_ctant_params"
type: DT_INT64
}
input_arg {
name: "unknown"
type: DT_RESOURCE
}
input_arg {
name: "unknown_0"
type: DT_RESOURCE
}
input_arg {
name: "unknown_1"
type: DT_RESOURCE
}
input_arg {
name: "unknown_2"
type: DT_RESOURCE
}
input_arg {
name: "unknown_3"
type: DT_RESOURCE
}
input_arg {
name: "unknown_4"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_INT64
}
is_stateful: true
control_output: "StatefulPartitionedCall"
}
node_def {
name: "StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "time_step_step_type"
input: "time_step_reward"
input: "time_step_discount"
input: "time_step_observation_callee_basic_block_count"
input: "time_step_observation_callee_conditionally_executed_blocks"
input: "time_step_observation_callee_users"
input: "time_step_observation_caller_basic_block_count"
input: "time_step_observation_caller_conditionally_executed_blocks"
input: "time_step_observation_caller_users"
input: "time_step_observation_callsite_height"
input: "time_step_observation_cost_estimate"
input: "time_step_observation_edge_count"
input: "time_step_observation_inlining_default"
input: "time_step_observation_node_count"
input: "time_step_observation_nr_ctant_params"
input: "unknown"
input: "unknown_0"
input: "unknown_1"
input: "unknown_2"
input: "unknown_3"
input: "unknown_4"
attr {
key: "Tin"
value {
list {
type: DT_INT32
type: DT_FLOAT
type: DT_FLOAT
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_INT64
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 15
i: 16
i: 17
i: 18
i: 19
i: 20
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0012\005*\0010J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_action_931"
}
}
}
experimental_debug_info {
original_node_names: "StatefulPartitionedCall"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "StatefulPartitionedCall:output:0"
input: "^StatefulPartitionedCall"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
control_ret {
key: "StatefulPartitionedCall"
value: "StatefulPartitionedCall"
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step/step_type"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step/reward"
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step/discount"
}
}
}
}
arg_attr {
key: 3
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step/observation/callee_basic_block_count"
}
}
}
}
arg_attr {
key: 4
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step/observation/callee_conditionally_executed_blocks"
}
}
}
}
arg_attr {
key: 5
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step/observation/callee_users"
}
}
}
}
arg_attr {
key: 6
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step/observation/caller_basic_block_count"
}
}
}
}
arg_attr {
key: 7
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step/observation/caller_conditionally_executed_blocks"
}
}
}
}
arg_attr {
key: 8
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step/observation/caller_users"
}
}
}
}
arg_attr {
key: 9
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step/observation/callsite_height"
}
}
}
}
arg_attr {
key: 10
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step/observation/cost_estimate"
}
}
}
}
arg_attr {
key: 11
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step/observation/edge_count"
}
}
}
}
arg_attr {
key: 12
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step/observation/inlining_default"
}
}
}
}
arg_attr {
key: 13
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step/observation/node_count"
}
}
}
}
arg_attr {
key: 14
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step/observation/nr_ctant_params"
}
}
}
}
arg_attr {
key: 15
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 16
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 17
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 18
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 19
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 20
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_function_with_signature_4619040"
input_arg {
name: "unknown"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_INT64
}
is_stateful: true
control_output: "StatefulPartitionedCall"
}
node_def {
name: "StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "unknown"
attr {
key: "Tin"
value {
list {
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_INT64
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 0
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0012\005*\0010J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_<lambda>_728"
}
}
}
experimental_debug_info {
original_node_names: "StatefulPartitionedCall"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "StatefulPartitionedCall:output:0"
input: "^StatefulPartitionedCall"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
unknown_rank: true
}
}
}
}
control_ret {
key: "StatefulPartitionedCall"
value: "StatefulPartitionedCall"
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_polymorphic_action_fn_4618978"
input_arg {
name: "time_step"
type: DT_INT32
}
input_arg {
name: "time_step_1"
type: DT_FLOAT
}
input_arg {
name: "time_step_2"
type: DT_FLOAT
}
input_arg {
name: "time_step_3"
type: DT_INT64
}
input_arg {
name: "time_step_4"
type: DT_INT64
}
input_arg {
name: "time_step_5"
type: DT_INT64
}
input_arg {
name: "time_step_6"
type: DT_INT64
}
input_arg {
name: "time_step_7"
type: DT_INT64
}
input_arg {
name: "time_step_8"
type: DT_INT64
}
input_arg {
name: "time_step_9"
type: DT_INT64
}
input_arg {
name: "time_step_10"
type: DT_INT64
}
input_arg {
name: "time_step_11"
type: DT_INT64
}
input_arg {
name: "time_step_12"
type: DT_INT64
}
input_arg {
name: "time_step_13"
type: DT_INT64
}
input_arg {
name: "time_step_14"
type: DT_INT64
}
input_arg {
name: "unknown"
type: DT_RESOURCE
}
input_arg {
name: "unknown_0"
type: DT_RESOURCE
}
input_arg {
name: "unknown_1"
type: DT_RESOURCE
}
input_arg {
name: "unknown_2"
type: DT_RESOURCE
}
input_arg {
name: "unknown_3"
type: DT_RESOURCE
}
input_arg {
name: "unknown_4"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_INT64
}
is_stateful: true
control_output: "StatefulPartitionedCall"
}
node_def {
name: "StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "time_step"
input: "time_step_1"
input: "time_step_2"
input: "time_step_3"
input: "time_step_4"
input: "time_step_5"
input: "time_step_6"
input: "time_step_7"
input: "time_step_8"
input: "time_step_9"
input: "time_step_10"
input: "time_step_11"
input: "time_step_12"
input: "time_step_13"
input: "time_step_14"
input: "unknown"
input: "unknown_0"
input: "unknown_1"
input: "unknown_2"
input: "unknown_3"
input: "unknown_4"
attr {
key: "Tin"
value {
list {
type: DT_INT32
type: DT_FLOAT
type: DT_FLOAT
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_INT64
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 15
i: 16
i: 17
i: 18
i: 19
i: 20
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0012\005*\0010J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_action_931"
}
}
}
experimental_debug_info {
original_node_names: "StatefulPartitionedCall"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "StatefulPartitionedCall:output:0"
input: "^StatefulPartitionedCall"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
control_ret {
key: "StatefulPartitionedCall"
value: "StatefulPartitionedCall"
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 3
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 4
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 5
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 6
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 7
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 8
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 9
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 10
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 11
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 12
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 13
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 14
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "time_step"
}
}
}
}
arg_attr {
key: 15
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 16
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 17
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 18
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 19
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 20
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_polymorphic_action_fn_946"
input_arg {
name: "step_type"
type: DT_INT32
}
input_arg {
name: "reward"
type: DT_FLOAT
}
input_arg {
name: "discount"
type: DT_FLOAT
}
input_arg {
name: "callee_basic_block_count"
type: DT_INT64
}
input_arg {
name: "callee_conditionally_executed_blocks"
type: DT_INT64
}
input_arg {
name: "callee_users"
type: DT_INT64
}
input_arg {
name: "caller_basic_block_count"
type: DT_INT64
}
input_arg {
name: "caller_conditionally_executed_blocks"
type: DT_INT64
}
input_arg {
name: "caller_users"
type: DT_INT64
}
input_arg {
name: "callsite_height"
type: DT_INT64
}
input_arg {
name: "cost_estimate"
type: DT_INT64
}
input_arg {
name: "edge_count"
type: DT_INT64
}
input_arg {
name: "inlining_default"
type: DT_INT64
}
input_arg {
name: "node_count"
type: DT_INT64
}
input_arg {
name: "nr_ctant_params"
type: DT_INT64
}
input_arg {
name: "unknown"
type: DT_RESOURCE
}
input_arg {
name: "unknown_0"
type: DT_RESOURCE
}
input_arg {
name: "unknown_1"
type: DT_RESOURCE
}
input_arg {
name: "unknown_2"
type: DT_RESOURCE
}
input_arg {
name: "unknown_3"
type: DT_RESOURCE
}
input_arg {
name: "unknown_4"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_INT64
}
is_stateful: true
control_output: "StatefulPartitionedCall"
}
node_def {
name: "StatefulPartitionedCall"
op: "StatefulPartitionedCall"
input: "step_type"
input: "reward"
input: "discount"
input: "callee_basic_block_count"
input: "callee_conditionally_executed_blocks"
input: "callee_users"
input: "caller_basic_block_count"
input: "caller_conditionally_executed_blocks"
input: "caller_users"
input: "callsite_height"
input: "cost_estimate"
input: "edge_count"
input: "inlining_default"
input: "node_count"
input: "nr_ctant_params"
input: "unknown"
input: "unknown_0"
input: "unknown_1"
input: "unknown_2"
input: "unknown_3"
input: "unknown_4"
attr {
key: "Tin"
value {
list {
type: DT_INT32
type: DT_FLOAT
type: DT_FLOAT
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_INT64
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
type: DT_RESOURCE
}
}
}
attr {
key: "Tout"
value {
list {
type: DT_INT64
}
}
}
attr {
key: "_collective_manager_ids"
value {
list {
}
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_read_only_resource_inputs"
value {
list {
i: 15
i: 16
i: 17
i: 18
i: 19
i: 20
}
}
}
attr {
key: "config_proto"
value {
s: "\n\007\n\003CPU\020\001\n\007\n\003GPU\020\0012\005*\0010J\0008\001"
}
}
attr {
key: "f"
value {
func {
name: "__inference_action_931"
}
}
}
experimental_debug_info {
original_node_names: "StatefulPartitionedCall"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "StatefulPartitionedCall:output:0"
input: "^StatefulPartitionedCall"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
dim {
size: 1
}
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
control_ret {
key: "StatefulPartitionedCall"
value: "StatefulPartitionedCall"
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "step_type"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "reward"
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "discount"
}
}
}
}
arg_attr {
key: 3
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "callee_basic_block_count"
}
}
}
}
arg_attr {
key: 4
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "callee_conditionally_executed_blocks"
}
}
}
}
arg_attr {
key: 5
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "callee_users"
}
}
}
}
arg_attr {
key: 6
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "caller_basic_block_count"
}
}
}
}
arg_attr {
key: 7
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "caller_conditionally_executed_blocks"
}
}
}
}
arg_attr {
key: 8
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "caller_users"
}
}
}
}
arg_attr {
key: 9
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "callsite_height"
}
}
}
}
arg_attr {
key: 10
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "cost_estimate"
}
}
}
}
arg_attr {
key: 11
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "edge_count"
}
}
}
}
arg_attr {
key: 12
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "inlining_default"
}
}
}
}
arg_attr {
key: 13
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "node_count"
}
}
}
}
arg_attr {
key: 14
value {
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "nr_ctant_params"
}
}
}
}
arg_attr {
key: 15
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 16
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 17
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 18
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 19
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 20
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference__traced_restore_4619176"
input_arg {
name: "file_prefix"
type: DT_STRING
}
input_arg {
name: "assignvariableop_train_step"
type: DT_RESOURCE
}
input_arg {
name: "assignvariableop_1_qnetwork_encodingnetwork_dense_kernel"
type: DT_RESOURCE
}
input_arg {
name: "assignvariableop_2_qnetwork_encodingnetwork_dense_bias"
type: DT_RESOURCE
}
input_arg {
name: "assignvariableop_3_qnetwork_encodingnetwork_dense_1_kernel"
type: DT_RESOURCE
}
input_arg {
name: "assignvariableop_4_qnetwork_encodingnetwork_dense_1_bias"
type: DT_RESOURCE
}
input_arg {
name: "assignvariableop_5_qnetwork_dense_2_kernel"
type: DT_RESOURCE
}
input_arg {
name: "assignvariableop_6_qnetwork_dense_2_bias"
type: DT_RESOURCE
}
output_arg {
name: "identity_8"
type: DT_STRING
}
is_stateful: true
control_output: "AssignVariableOp"
control_output: "AssignVariableOp_1"
control_output: "AssignVariableOp_2"
control_output: "AssignVariableOp_3"
control_output: "AssignVariableOp_4"
control_output: "AssignVariableOp_5"
control_output: "AssignVariableOp_6"
control_output: "RestoreV2"
control_output: "RestoreV2_1"
}
node_def {
name: "RestoreV2/tensor_names"
op: "Const"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 7
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_STRING
tensor_shape {
dim {
size: 7
}
}
string_val: "train_step/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "model_variables/0/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "model_variables/1/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "model_variables/2/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "model_variables/3/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "model_variables/4/.ATTRIBUTES/VARIABLE_VALUE"
string_val: "model_variables/5/.ATTRIBUTES/VARIABLE_VALUE"
}
}
}
experimental_debug_info {
original_node_names: "RestoreV2/tensor_names"
}
}
node_def {
name: "RestoreV2/shape_and_slices"
op: "Const"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 7
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_STRING
tensor_shape {
dim {
size: 7
}
}
string_val: ""
string_val: ""
string_val: ""
string_val: ""
string_val: ""
string_val: ""
string_val: ""
}
}
}
experimental_debug_info {
original_node_names: "RestoreV2/shape_and_slices"
}
}
node_def {
name: "RestoreV2"
op: "RestoreV2"
input: "file_prefix"
input: "RestoreV2/tensor_names:output:0"
input: "RestoreV2/shape_and_slices:output:0"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
attr {
key: "dtypes"
value {
list {
type: DT_INT64
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
type: DT_FLOAT
}
}
}
experimental_debug_info {
original_node_names: "RestoreV2"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "RestoreV2:tensors:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
unknown_rank: true
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
node_def {
name: "AssignVariableOp"
op: "AssignVariableOp"
input: "assignvariableop_train_step"
input: "Identity:output:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
attr {
key: "dtype"
value {
type: DT_INT64
}
}
experimental_debug_info {
original_node_names: "AssignVariableOp"
}
}
node_def {
name: "Identity_1"
op: "Identity"
input: "RestoreV2:tensors:1"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
unknown_rank: true
}
}
}
}
experimental_debug_info {
original_node_names: "Identity_1"
}
}
node_def {
name: "AssignVariableOp_1"
op: "AssignVariableOp"
input: "assignvariableop_1_qnetwork_encodingnetwork_dense_kernel"
input: "Identity_1:output:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "AssignVariableOp_1"
}
}
node_def {
name: "Identity_2"
op: "Identity"
input: "RestoreV2:tensors:2"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
unknown_rank: true
}
}
}
}
experimental_debug_info {
original_node_names: "Identity_2"
}
}
node_def {
name: "AssignVariableOp_2"
op: "AssignVariableOp"
input: "assignvariableop_2_qnetwork_encodingnetwork_dense_bias"
input: "Identity_2:output:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "AssignVariableOp_2"
}
}
node_def {
name: "Identity_3"
op: "Identity"
input: "RestoreV2:tensors:3"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
unknown_rank: true
}
}
}
}
experimental_debug_info {
original_node_names: "Identity_3"
}
}
node_def {
name: "AssignVariableOp_3"
op: "AssignVariableOp"
input: "assignvariableop_3_qnetwork_encodingnetwork_dense_1_kernel"
input: "Identity_3:output:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "AssignVariableOp_3"
}
}
node_def {
name: "Identity_4"
op: "Identity"
input: "RestoreV2:tensors:4"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
unknown_rank: true
}
}
}
}
experimental_debug_info {
original_node_names: "Identity_4"
}
}
node_def {
name: "AssignVariableOp_4"
op: "AssignVariableOp"
input: "assignvariableop_4_qnetwork_encodingnetwork_dense_1_bias"
input: "Identity_4:output:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "AssignVariableOp_4"
}
}
node_def {
name: "Identity_5"
op: "Identity"
input: "RestoreV2:tensors:5"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
unknown_rank: true
}
}
}
}
experimental_debug_info {
original_node_names: "Identity_5"
}
}
node_def {
name: "AssignVariableOp_5"
op: "AssignVariableOp"
input: "assignvariableop_5_qnetwork_dense_2_kernel"
input: "Identity_5:output:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "AssignVariableOp_5"
}
}
node_def {
name: "Identity_6"
op: "Identity"
input: "RestoreV2:tensors:6"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
unknown_rank: true
}
}
}
}
experimental_debug_info {
original_node_names: "Identity_6"
}
}
node_def {
name: "AssignVariableOp_6"
op: "AssignVariableOp"
input: "assignvariableop_6_qnetwork_dense_2_bias"
input: "Identity_6:output:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
experimental_debug_info {
original_node_names: "AssignVariableOp_6"
}
}
node_def {
name: "RestoreV2_1/tensor_names"
op: "Const"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_STRING
tensor_shape {
dim {
size: 1
}
}
string_val: "_CHECKPOINTABLE_OBJECT_GRAPH"
}
}
}
experimental_debug_info {
original_node_names: "RestoreV2_1/tensor_names"
}
}
node_def {
name: "RestoreV2_1/shape_and_slices"
op: "Const"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
dim {
size: 1
}
}
}
}
}
attr {
key: "dtype"
value {
type: DT_STRING
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_STRING
tensor_shape {
dim {
size: 1
}
}
string_val: ""
}
}
}
experimental_debug_info {
original_node_names: "RestoreV2_1/shape_and_slices"
}
}
node_def {
name: "RestoreV2_1"
op: "RestoreV2"
input: "file_prefix"
input: "RestoreV2_1/tensor_names:output:0"
input: "RestoreV2_1/shape_and_slices:output:0"
input: "^RestoreV2"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
shape {
unknown_rank: true
}
}
}
}
attr {
key: "dtypes"
value {
list {
type: DT_STRING
}
}
}
experimental_debug_info {
original_node_names: "RestoreV2_1"
}
}
node_def {
name: "NoOp"
op: "NoOp"
device: "/device:CPU:0"
attr {
key: "_output_shapes"
value {
list {
}
}
}
experimental_debug_info {
original_node_names: "NoOp"
}
}
node_def {
name: "Identity_7"
op: "Identity"
input: "file_prefix"
input: "^AssignVariableOp"
input: "^AssignVariableOp_1"
input: "^AssignVariableOp_2"
input: "^AssignVariableOp_3"
input: "^AssignVariableOp_4"
input: "^AssignVariableOp_5"
input: "^AssignVariableOp_6"
input: "^NoOp"
device: "/device:CPU:0"
attr {
key: "T"
value {
type: DT_STRING
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
experimental_debug_info {
original_node_names: "Identity_7"
}
}
node_def {
name: "Identity_8"
op: "Identity"
input: "Identity_7:output:0"
input: "^AssignVariableOp"
input: "^AssignVariableOp_1"
input: "^AssignVariableOp_2"
input: "^AssignVariableOp_3"
input: "^AssignVariableOp_4"
input: "^AssignVariableOp_5"
input: "^AssignVariableOp_6"
input: "^RestoreV2"
input: "^RestoreV2_1"
attr {
key: "T"
value {
type: DT_STRING
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
experimental_debug_info {
original_node_names: "Identity_8"
}
}
ret {
key: "identity_8"
value: "Identity_8:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
shape {
unknown_rank: true
}
}
}
}
control_ret {
key: "AssignVariableOp"
value: "AssignVariableOp"
}
control_ret {
key: "AssignVariableOp_1"
value: "AssignVariableOp_1"
}
control_ret {
key: "AssignVariableOp_2"
value: "AssignVariableOp_2"
}
control_ret {
key: "AssignVariableOp_3"
value: "AssignVariableOp_3"
}
control_ret {
key: "AssignVariableOp_4"
value: "AssignVariableOp_4"
}
control_ret {
key: "AssignVariableOp_5"
value: "AssignVariableOp_5"
}
control_ret {
key: "AssignVariableOp_6"
value: "AssignVariableOp_6"
}
control_ret {
key: "RestoreV2"
value: "RestoreV2"
}
control_ret {
key: "RestoreV2_1"
value: "RestoreV2_1"
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "_user_specified_name"
value {
s: "file_prefix"
}
}
}
}
arg_attr {
key: 1
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 2
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 3
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 4
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 5
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 6
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
arg_attr {
key: 7
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
function {
signature {
name: "__inference_<lambda>_728"
input_arg {
name: "readvariableop_resource"
type: DT_RESOURCE
}
output_arg {
name: "identity"
type: DT_INT64
}
is_stateful: true
}
node_def {
name: "ReadVariableOp"
op: "ReadVariableOp"
input: "readvariableop_resource"
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
attr {
key: "dtype"
value {
type: DT_INT64
}
}
experimental_debug_info {
original_node_names: "ReadVariableOp"
}
}
node_def {
name: "Identity"
op: "Identity"
input: "ReadVariableOp:value:0"
attr {
key: "T"
value {
type: DT_INT64
}
}
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
experimental_debug_info {
original_node_names: "Identity"
}
}
ret {
key: "identity"
value: "Identity:output:0"
}
attr {
key: "_input_shapes"
value {
list {
shape {
unknown_rank: true
}
}
}
}
arg_attr {
key: 0
value {
attr {
key: "_output_shapes"
value {
list {
shape {
}
}
}
}
}
}
}
}
versions {
producer: 357
min_consumer: 12
}
}
saver_def {
filename_tensor_name: "saver_filename:0"
save_tensor_name: "StatefulPartitionedCall_2:0"
restore_op_name: "StatefulPartitionedCall_3"
version: V2
}
collection_def {
key: "saved_model_main_op"
value {
node_list {
value: "NoOp"
}
}
}
signature_def {
key: "__saved_model_init_op"
value {
outputs {
key: "__saved_model_init_op"
value {
name: "NoOp"
tensor_shape {
unknown_rank: true
}
}
}
}
}
signature_def {
key: "action"
value {
inputs {
key: "callee_basic_block_count"
value {
name: "action_callee_basic_block_count:0"
dtype: DT_INT64
tensor_shape {
dim {
size: 1
}
}
}
}
inputs {
key: "callee_conditionally_executed_blocks"
value {
name: "action_callee_conditionally_executed_blocks:0"
dtype: DT_INT64
tensor_shape {
dim {
size: 1
}
}
}
}
inputs {
key: "callee_users"
value {
name: "action_callee_users:0"
dtype: DT_INT64
tensor_shape {
dim {
size: 1
}
}
}
}
inputs {
key: "caller_basic_block_count"
value {
name: "action_caller_basic_block_count:0"
dtype: DT_INT64
tensor_shape {
dim {
size: 1
}
}
}
}
inputs {
key: "caller_conditionally_executed_blocks"
value {
name: "action_caller_conditionally_executed_blocks:0"
dtype: DT_INT64
tensor_shape {
dim {
size: 1
}
}
}
}
inputs {
key: "caller_users"
value {
name: "action_caller_users:0"
dtype: DT_INT64
tensor_shape {
dim {
size: 1
}
}
}
}
inputs {
key: "callsite_height"
value {
name: "action_callsite_height:0"
dtype: DT_INT64
tensor_shape {
dim {
size: 1
}
}
}
}
inputs {
key: "cost_estimate"
value {
name: "action_cost_estimate:0"
dtype: DT_INT64
tensor_shape {
dim {
size: 1
}
}
}
}
inputs {
key: "discount"
value {
name: "action_discount:0"
dtype: DT_FLOAT
tensor_shape {
dim {
size: 1
}
}
}
}
inputs {
key: "edge_count"
value {
name: "action_edge_count:0"
dtype: DT_INT64
tensor_shape {
dim {
size: 1
}
}
}
}
inputs {
key: "inlining_default"
value {
name: "action_inlining_default:0"
dtype: DT_INT64
tensor_shape {
dim {
size: 1
}
}
}
}
inputs {
key: "node_count"
value {
name: "action_node_count:0"
dtype: DT_INT64
tensor_shape {
dim {
size: 1
}
}
}
}
inputs {
key: "nr_ctant_params"
value {
name: "action_nr_ctant_params:0"
dtype: DT_INT64
tensor_shape {
dim {
size: 1
}
}
}
}
inputs {
key: "reward"
value {
name: "action_reward:0"
dtype: DT_FLOAT
tensor_shape {
dim {
size: 1
}
}
}
}
inputs {
key: "step_type"
value {
name: "action_step_type:0"
dtype: DT_INT32
tensor_shape {
dim {
size: 1
}
}
}
}
outputs {
key: "inlining_decision"
value {
name: "StatefulPartitionedCall:0"
dtype: DT_INT64
tensor_shape {
dim {
size: 1
}
}
}
}
method_name: "tensorflow/serving/predict"
}
}
signature_def {
key: "get_initial_state"
value {
method_name: "tensorflow/serving/predict"
}
}
signature_def {
key: "get_train_step"
value {
outputs {
key: "int64"
value {
name: "StatefulPartitionedCall_1:0"
dtype: DT_INT64
tensor_shape {
}
}
}
method_name: "tensorflow/serving/predict"
}
}
object_graph_def {
nodes {
children {
node_id: 1
local_name: "_time_step_spec"
}
children {
node_id: 2
local_name: "_trajectory_spec"
}
children {
node_id: 3
local_name: "_wrapped_policy"
}
children {
node_id: 4
local_name: "train_step"
}
children {
node_id: 5
local_name: "model_variables"
}
children {
node_id: 6
local_name: "signatures"
}
children {
node_id: 210
local_name: "action"
}
children {
node_id: 211
local_name: "get_initial_state"
}
children {
node_id: 212
local_name: "get_train_step"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 7
local_name: "observation"
}
children {
node_id: 7
local_name: "3"
}
user_object {
identifier: "trackable_tuple_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 7
local_name: "observation"
}
children {
node_id: 7
local_name: "1"
}
user_object {
identifier: "trackable_tuple_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 8
local_name: "_q_network"
}
children {
node_id: 1
local_name: "_time_step_spec"
}
children {
node_id: 9
local_name: "_trajectory_spec"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
variable {
dtype: DT_INT64
shape {
}
name: "train_step"
}
}
nodes {
children {
node_id: 10
local_name: "0"
}
children {
node_id: 11
local_name: "1"
}
children {
node_id: 12
local_name: "2"
}
children {
node_id: 13
local_name: "3"
}
children {
node_id: 14
local_name: "4"
}
children {
node_id: 15
local_name: "5"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 213
local_name: "action"
}
children {
node_id: 214
local_name: "get_initial_state"
}
children {
node_id: 215
local_name: "get_train_step"
}
user_object {
identifier: "signature_map"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 16
local_name: "_input_tensor_spec"
}
children {
node_id: 17
local_name: "_encoder"
}
children {
node_id: 18
local_name: "_q_value_layer"
}
children {
node_id: 19
local_name: "variables"
}
children {
node_id: 20
local_name: "regularization_losses"
}
children {
node_id: 21
local_name: "trainable_variables"
}
children {
node_id: 22
local_name: "keras_api"
}
children {
node_id: 216
local_name: "__call__"
}
children {
node_id: 217
local_name: "call_and_return_all_conditional_losses"
}
user_object {
identifier: "_tf_keras_network"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"QNetwork\", \"name\": \"QNetwork\", \"trainable\": true, \"expects_training_arg\": true, \"dtype\": \"float32\", \"batch_input_shape\": null, \"config\": {\"layer was saved without config\": true}, \"is_graph_network\": false}"
}
}
nodes {
children {
node_id: 7
local_name: "observation"
}
children {
node_id: 7
local_name: "1"
}
user_object {
identifier: "trackable_tuple_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
variable {
dtype: DT_FLOAT
shape {
dim {
size: 34
}
dim {
size: 100
}
}
trainable: true
name: "QNetwork/EncodingNetwork/dense/kernel"
}
}
nodes {
variable {
dtype: DT_FLOAT
shape {
dim {
size: 100
}
}
trainable: true
name: "QNetwork/EncodingNetwork/dense/bias"
}
}
nodes {
variable {
dtype: DT_FLOAT
shape {
dim {
size: 100
}
dim {
size: 40
}
}
trainable: true
name: "QNetwork/EncodingNetwork/dense_1/kernel"
}
}
nodes {
variable {
dtype: DT_FLOAT
shape {
dim {
size: 40
}
}
trainable: true
name: "QNetwork/EncodingNetwork/dense_1/bias"
}
}
nodes {
variable {
dtype: DT_FLOAT
shape {
dim {
size: 40
}
dim {
size: 2
}
}
trainable: true
name: "QNetwork/dense_2/kernel"
}
}
nodes {
variable {
dtype: DT_FLOAT
shape {
dim {
size: 2
}
}
trainable: true
name: "QNetwork/dense_2/bias"
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 23
local_name: "_input_tensor_spec"
}
children {
node_id: 24
local_name: "_preprocessing_nest"
}
children {
node_id: 25
local_name: "_flat_preprocessing_layers"
}
children {
node_id: 26
local_name: "_preprocessing_combiner"
}
children {
node_id: 27
local_name: "_postprocessing_layers"
}
children {
node_id: 28
local_name: "variables"
}
children {
node_id: 29
local_name: "regularization_losses"
}
children {
node_id: 30
local_name: "trainable_variables"
}
children {
node_id: 31
local_name: "keras_api"
}
children {
node_id: 218
local_name: "__call__"
}
children {
node_id: 219
local_name: "call_and_return_all_conditional_losses"
}
user_object {
identifier: "_tf_keras_network"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"EncodingNetwork\", \"name\": \"EncodingNetwork\", \"trainable\": true, \"expects_training_arg\": true, \"dtype\": \"float32\", \"batch_input_shape\": null, \"config\": {\"layer was saved without config\": true}, \"is_graph_network\": false}"
}
}
nodes {
children {
node_id: 14
local_name: "kernel"
}
children {
node_id: 15
local_name: "bias"
}
children {
node_id: 32
local_name: "variables"
}
children {
node_id: 33
local_name: "regularization_losses"
}
children {
node_id: 34
local_name: "trainable_variables"
}
children {
node_id: 35
local_name: "keras_api"
}
children {
node_id: 220
local_name: "__call__"
}
children {
node_id: 221
local_name: "call_and_return_all_conditional_losses"
}
user_object {
identifier: "_tf_keras_layer"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"Dense\", \"name\": \"dense_2\", \"trainable\": true, \"expects_training_arg\": false, \"dtype\": \"float32\", \"batch_input_shape\": null, \"stateful\": false, \"config\": {\"name\": \"dense_2\", \"trainable\": true, \"dtype\": \"float32\", \"units\": 2, \"activation\": \"linear\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"RandomUniform\", \"config\": {\"minval\": -0.03, \"maxval\": 0.03, \"seed\": null, \"dtype\": \"float32\"}}, \"bias_initializer\": {\"class_name\": \"Constant\", \"config\": {\"value\": -0.2, \"dtype\": \"float32\"}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}, \"input_spec\": {\"class_name\": \"InputSpec\", \"config\": {\"dtype\": null, \"shape\": null, \"ndim\": null, \"max_ndim\": null, \"min_ndim\": 2, \"axes\": {\"-1\": 40}}}, \"build_input_shape\": {\"class_name\": \"TensorShape\", \"items\": [0, 40]}}"
}
}
nodes {
children {
node_id: 10
local_name: "0"
}
children {
node_id: 11
local_name: "1"
}
children {
node_id: 12
local_name: "2"
}
children {
node_id: 13
local_name: "3"
}
children {
node_id: 14
local_name: "4"
}
children {
node_id: 15
local_name: "5"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 10
local_name: "0"
}
children {
node_id: 11
local_name: "1"
}
children {
node_id: 12
local_name: "2"
}
children {
node_id: 13
local_name: "3"
}
children {
node_id: 14
local_name: "4"
}
children {
node_id: 15
local_name: "5"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 36
local_name: "layer_metrics"
}
children {
node_id: 19
local_name: "variables"
}
children {
node_id: 37
local_name: "layer_regularization_losses"
}
children {
node_id: 38
local_name: "metrics"
}
children {
node_id: 39
local_name: "layers"
}
children {
node_id: 20
local_name: "regularization_losses"
}
children {
node_id: 40
local_name: "non_trainable_variables"
}
children {
node_id: 21
local_name: "trainable_variables"
}
children {
node_id: 216
local_name: "__call__"
}
children {
node_id: 217
local_name: "call_and_return_all_conditional_losses"
}
children {
node_id: 217
local_name: "call_and_return_conditional_losses"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 41
local_name: "0"
}
children {
node_id: 42
local_name: "1"
}
children {
node_id: 43
local_name: "2"
}
children {
node_id: 44
local_name: "3"
}
children {
node_id: 45
local_name: "4"
}
children {
node_id: 46
local_name: "5"
}
children {
node_id: 47
local_name: "6"
}
children {
node_id: 48
local_name: "7"
}
children {
node_id: 49
local_name: "8"
}
children {
node_id: 50
local_name: "9"
}
children {
node_id: 51
local_name: "10"
}
children {
node_id: 52
local_name: "11"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 53
local_name: "variables"
}
children {
node_id: 54
local_name: "regularization_losses"
}
children {
node_id: 55
local_name: "trainable_variables"
}
children {
node_id: 56
local_name: "keras_api"
}
children {
node_id: 222
local_name: "__call__"
}
children {
node_id: 223
local_name: "call_and_return_all_conditional_losses"
}
user_object {
identifier: "_tf_keras_layer"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"Concatenate\", \"name\": \"concatenate\", \"trainable\": true, \"expects_training_arg\": false, \"dtype\": \"float32\", \"batch_input_shape\": null, \"stateful\": false, \"config\": {\"name\": \"concatenate\", \"trainable\": true, \"dtype\": \"float32\", \"axis\": -1}, \"build_input_shape\": [{\"class_name\": \"TensorShape\", \"items\": [0, 3]}, {\"class_name\": \"TensorShape\", \"items\": [0, 3]}, {\"class_name\": \"TensorShape\", \"items\": [0, 3]}, {\"class_name\": \"TensorShape\", \"items\": [0, 3]}, {\"class_name\": \"TensorShape\", \"items\": [0, 3]}, {\"class_name\": \"TensorShape\", \"items\": [0, 3]}, {\"class_name\": \"TensorShape\", \"items\": [0, 3]}, {\"class_name\": \"TensorShape\", \"items\": [0, 3]}, {\"class_name\": \"TensorShape\", \"items\": [0, 3]}, {\"class_name\": \"TensorShape\", \"items\": [0, 1]}, {\"class_name\": \"TensorShape\", \"items\": [0, 3]}, {\"class_name\": \"TensorShape\", \"items\": [0, 3]}]}"
}
}
nodes {
children {
node_id: 57
local_name: "0"
}
children {
node_id: 58
local_name: "1"
}
children {
node_id: 59
local_name: "2"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 10
local_name: "0"
}
children {
node_id: 11
local_name: "1"
}
children {
node_id: 12
local_name: "2"
}
children {
node_id: 13
local_name: "3"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 10
local_name: "0"
}
children {
node_id: 11
local_name: "1"
}
children {
node_id: 12
local_name: "2"
}
children {
node_id: 13
local_name: "3"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 60
local_name: "layer_metrics"
}
children {
node_id: 28
local_name: "variables"
}
children {
node_id: 61
local_name: "layer_regularization_losses"
}
children {
node_id: 62
local_name: "metrics"
}
children {
node_id: 63
local_name: "layers"
}
children {
node_id: 29
local_name: "regularization_losses"
}
children {
node_id: 64
local_name: "non_trainable_variables"
}
children {
node_id: 30
local_name: "trainable_variables"
}
children {
node_id: 218
local_name: "__call__"
}
children {
node_id: 219
local_name: "call_and_return_all_conditional_losses"
}
children {
node_id: 219
local_name: "call_and_return_conditional_losses"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 14
local_name: "0"
}
children {
node_id: 15
local_name: "1"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 14
local_name: "0"
}
children {
node_id: 15
local_name: "1"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 65
local_name: "layer_metrics"
}
children {
node_id: 32
local_name: "variables"
}
children {
node_id: 66
local_name: "layer_regularization_losses"
}
children {
node_id: 67
local_name: "metrics"
}
children {
node_id: 68
local_name: "layers"
}
children {
node_id: 33
local_name: "regularization_losses"
}
children {
node_id: 69
local_name: "non_trainable_variables"
}
children {
node_id: 34
local_name: "trainable_variables"
}
children {
node_id: 220
local_name: "__call__"
}
children {
node_id: 221
local_name: "call_and_return_all_conditional_losses"
}
children {
node_id: 221
local_name: "call_and_return_conditional_losses"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 17
local_name: "0"
}
children {
node_id: 18
local_name: "1"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 70
local_name: "variables"
}
children {
node_id: 71
local_name: "regularization_losses"
}
children {
node_id: 72
local_name: "trainable_variables"
}
children {
node_id: 73
local_name: "keras_api"
}
children {
node_id: 224
local_name: "__call__"
}
children {
node_id: 225
local_name: "call_and_return_all_conditional_losses"
}
user_object {
identifier: "_tf_keras_layer"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"Lambda\", \"name\": \"lambda\", \"trainable\": true, \"expects_training_arg\": true, \"dtype\": \"float32\", \"batch_input_shape\": null, \"stateful\": false, \"config\": {\"name\": \"lambda\", \"trainable\": true, \"dtype\": \"float32\", \"function\": {\"class_name\": \"__tuple__\", \"items\": [\"4wEAAAAAAAAAAwAAAAUAAAATAAAAc0QAAACIAHwAgwF9AXQAagF0AmoDfAGIAYMCdABqBIMCdAWI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\\nARAB\\n\", null, {\"class_name\": \"__tuple__\", \"items\": [{\"class_name\": \"ExpandDims\", \"config\": {\"name\": \"expand_dims\", \"trainable\": true, \"dtype\": \"float32\", \"axis\": -1}}, [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 9.0, 9.0, 9.0, 9.0, 10.0, 10.0, 11.0, 12.0, 13.0, 14.0, 14.0, 14.0, 16.0, 17.0, 19.0, 23.0, 27.0, 39.0]]}]}, \"function_type\": \"lambda\", \"module\": \"google3.learning.smartchoices.research.clients.compiler_opt.policy_training.feature_ops\", \"output_shape\": null, \"output_shape_type\": \"raw\", \"output_shape_module\": null, \"arguments\": {}}}"
}
}
nodes {
children {
node_id: 74
local_name: "variables"
}
children {
node_id: 75
local_name: "regularization_losses"
}
children {
node_id: 76
local_name: "trainable_variables"
}
children {
node_id: 77
local_name: "keras_api"
}
children {
node_id: 226
local_name: "__call__"
}
children {
node_id: 227
local_name: "call_and_return_all_conditional_losses"
}
user_object {
identifier: "_tf_keras_layer"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"Lambda\", \"name\": \"lambda_1\", \"trainable\": true, \"expects_training_arg\": true, \"dtype\": \"float32\", \"batch_input_shape\": null, \"stateful\": false, \"config\": {\"name\": \"lambda_1\", \"trainable\": true, \"dtype\": \"float32\", \"function\": {\"class_name\": \"__tuple__\", \"items\": [\"4wEAAAAAAAAAAwAAAAUAAAATAAAAc0QAAACIAHwAgwF9AXQAagF0AmoDfAGIAYMCdABqBIMCdAWI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\\nARAB\\n\", null, {\"class_name\": \"__tuple__\", \"items\": [{\"class_name\": \"ExpandDims\", \"config\": {\"name\": \"expand_dims\", \"trainable\": true, \"dtype\": \"float32\", \"axis\": -1}}, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 3.0, 3.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 7.0, 8.0, 8.0, 8.0, 8.0, 9.0, 10.0, 10.0, 10.0, 12.0, 12.0, 12.0, 14.0, 14.0, 18.0, 20.0, 23.0, 30.0, 41.0]]}]}, \"function_type\": \"lambda\", \"module\": \"google3.learning.smartchoices.research.clients.compiler_opt.policy_training.feature_ops\", \"output_shape\": null, \"output_shape_type\": \"raw\", \"output_shape_module\": null, \"arguments\": {}}}"
}
}
nodes {
children {
node_id: 78
local_name: "variables"
}
children {
node_id: 79
local_name: "regularization_losses"
}
children {
node_id: 80
local_name: "trainable_variables"
}
children {
node_id: 81
local_name: "keras_api"
}
children {
node_id: 228
local_name: "__call__"
}
children {
node_id: 229
local_name: "call_and_return_all_conditional_losses"
}
user_object {
identifier: "_tf_keras_layer"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"Lambda\", \"name\": \"lambda_2\", \"trainable\": true, \"expects_training_arg\": true, \"dtype\": \"float32\", \"batch_input_shape\": null, \"stateful\": false, \"config\": {\"name\": \"lambda_2\", \"trainable\": true, \"dtype\": \"float32\", \"function\": {\"class_name\": \"__tuple__\", \"items\": [\"4wEAAAAAAAAAAwAAAAUAAAATAAAAc0QAAACIAHwAgwF9AXQAagF0AmoDfAGIAYMCdABqBIMCdAWI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\\nARAB\\n\", null, {\"class_name\": \"__tuple__\", \"items\": [{\"class_name\": \"ExpandDims\", \"config\": {\"name\": \"expand_dims\", \"trainable\": true, \"dtype\": \"float32\", \"axis\": -1}}, [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 17.0, 17.0, 17.0, 17.0, 17.0, 17.0, 17.0, 17.0, 17.0, 18.0, 18.0, 18.0, 18.0, 18.0, 19.0, 19.0, 19.0, 19.0, 19.0, 20.0, 20.0, 20.0, 20.0, 20.0, 21.0, 21.0, 21.0, 21.0, 21.0, 21.0, 21.0, 22.0, 22.0, 22.0, 22.0, 23.0, 23.0, 23.0, 24.0, 24.0, 24.0, 25.0, 25.0, 25.0, 25.0, 25.0, 25.0, 26.0, 26.0, 26.0, 27.0, 27.0, 27.0, 27.0, 28.0, 28.0, 29.0, 29.0, 29.0, 29.0, 30.0, 30.0, 31.0, 31.0, 31.0, 31.0, 32.0, 32.0, 33.0, 33.0, 33.0, 34.0, 34.0, 34.0, 34.0, 35.0, 35.0, 36.0, 36.0, 37.0, 37.0, 37.0, 38.0, 38.0, 39.0, 39.0, 40.0, 40.0, 41.0, 41.0, 41.0, 42.0, 43.0, 43.0, 44.0, 44.0, 45.0, 45.0, 46.0, 46.0, 46.0, 47.0, 47.0, 48.0, 49.0, 49.0, 50.0, 50.0, 51.0, 52.0, 53.0, 53.0, 54.0, 55.0, 56.0, 57.0, 57.0, 58.0, 59.0, 60.0, 61.0, 61.0, 63.0, 63.0, 64.0, 65.0, 66.0, 67.0, 67.0, 69.0, 70.0, 71.0, 72.0, 73.0, 74.0, 75.0, 77.0, 78.0, 79.0, 80.0, 81.0, 82.0, 83.0, 85.0, 86.0, 88.0, 89.0, 91.0, 92.0, 94.0, 96.0, 97.0, 99.0, 100.0, 101.0, 103.0, 105.0, 107.0, 109.0, 111.0, 113.0, 115.0, 118.0, 121.0, 123.0, 126.0, 128.0, 130.0, 133.0, 135.0, 137.0, 140.0, 143.0, 146.0, 148.0, 151.0, 154.0, 157.0, 161.0, 163.0, 166.0, 169.0, 173.0, 178.0, 183.0, 189.0, 193.0, 197.0, 202.0, 208.0, 213.0, 218.0, 223.0, 228.0, 233.0, 239.0, 245.0, 250.0, 257.0, 262.0, 269.0, 277.0, 284.0, 292.0, 300.0, 308.0, 319.0, 329.0, 340.0, 349.0, 359.0, 371.0, 382.0, 394.0, 410.0, 423.0, 435.0, 445.0, 462.0, 480.0, 492.0, 506.0, 519.0, 536.0, 557.0, 577.0, 598.0, 622.0, 655.0, 679.0, 707.0, 733.0, 751.0, 787.0, 814.0, 847.0, 897.0, 934.0, 997.0, 1062.0, 1111.0, 1181.0, 1275.0, 1385.0, 1465.0, 1603.0, 1769.0, 2057.0, 2257.0, 2803.0, 3468.0, 4417.0, 6538.0, 16126.0, 23446.0, 33536.0]]}]}, \"function_type\": \"lambda\", \"module\": \"google3.learning.smartchoices.research.clients.compiler_opt.policy_training.feature_ops\", \"output_shape\": null, \"output_shape_type\": \"raw\", \"output_shape_module\": null, \"arguments\": {}}}"
}
}
nodes {
children {
node_id: 82
local_name: "variables"
}
children {
node_id: 83
local_name: "regularization_losses"
}
children {
node_id: 84
local_name: "trainable_variables"
}
children {
node_id: 85
local_name: "keras_api"
}
children {
node_id: 230
local_name: "__call__"
}
children {
node_id: 231
local_name: "call_and_return_all_conditional_losses"
}
user_object {
identifier: "_tf_keras_layer"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"Lambda\", \"name\": \"lambda_3\", \"trainable\": true, \"expects_training_arg\": true, \"dtype\": \"float32\", \"batch_input_shape\": null, \"stateful\": false, \"config\": {\"name\": \"lambda_3\", \"trainable\": true, \"dtype\": \"float32\", \"function\": {\"class_name\": \"__tuple__\", \"items\": [\"4wEAAAAAAAAAAwAAAAUAAAATAAAAc0QAAACIAHwAgwF9AXQAagF0AmoDfAGIAYMCdABqBIMCdAWI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\\nARAB\\n\", null, {\"class_name\": \"__tuple__\", \"items\": [{\"class_name\": \"ExpandDims\", \"config\": {\"name\": \"expand_dims\", \"trainable\": true, \"dtype\": \"float32\", \"axis\": -1}}, [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 17.0, 17.0, 17.0, 17.0, 17.0, 17.0, 17.0, 18.0, 18.0, 18.0, 18.0, 18.0, 18.0, 18.0, 18.0, 18.0, 18.0, 18.0, 19.0, 19.0, 19.0, 19.0, 19.0, 19.0, 19.0, 20.0, 20.0, 20.0, 20.0, 20.0, 21.0, 21.0, 21.0, 21.0, 21.0, 21.0, 22.0, 22.0, 22.0, 22.0, 22.0, 22.0, 22.0, 23.0, 23.0, 23.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 25.0, 25.0, 25.0, 25.0, 25.0, 26.0, 26.0, 26.0, 26.0, 27.0, 27.0, 27.0, 27.0, 27.0, 28.0, 28.0, 28.0, 29.0, 29.0, 29.0, 29.0, 30.0, 30.0, 30.0, 31.0, 31.0, 31.0, 32.0, 32.0, 32.0, 33.0, 33.0, 33.0, 34.0, 34.0, 34.0, 34.0, 35.0, 35.0, 35.0, 36.0, 36.0, 36.0, 37.0, 37.0, 37.0, 38.0, 38.0, 38.0, 38.0, 39.0, 39.0, 40.0, 40.0, 41.0, 41.0, 42.0, 43.0, 43.0, 44.0, 45.0, 45.0, 46.0, 47.0, 47.0, 48.0, 49.0, 49.0, 50.0, 50.0, 52.0, 52.0, 53.0, 54.0, 55.0, 55.0, 57.0, 58.0, 59.0, 60.0, 62.0, 64.0, 65.0, 66.0, 68.0, 70.0, 70.0, 70.0, 70.0, 70.0, 71.0, 73.0, 75.0, 76.0, 78.0, 81.0, 84.0, 86.0, 90.0, 94.0, 98.0, 101.0, 106.0, 111.0, 117.0, 123.0, 130.0, 138.0, 146.0, 157.0, 163.0, 176.0, 187.0, 198.0, 214.0, 227.0, 252.0, 280.0, 327.0, 395.0, 506.0, 671.0, 1025.0, 1971.0]]}]}, \"function_type\": \"lambda\", \"module\": \"google3.learning.smartchoices.research.clients.compiler_opt.policy_training.feature_ops\", \"output_shape\": null, \"output_shape_type\": \"raw\", \"output_shape_module\": null, \"arguments\": {}}}"
}
}
nodes {
children {
node_id: 86
local_name: "variables"
}
children {
node_id: 87
local_name: "regularization_losses"
}
children {
node_id: 88
local_name: "trainable_variables"
}
children {
node_id: 89
local_name: "keras_api"
}
children {
node_id: 232
local_name: "__call__"
}
children {
node_id: 233
local_name: "call_and_return_all_conditional_losses"
}
user_object {
identifier: "_tf_keras_layer"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"Lambda\", \"name\": \"lambda_4\", \"trainable\": true, \"expects_training_arg\": true, \"dtype\": \"float32\", \"batch_input_shape\": null, \"stateful\": false, \"config\": {\"name\": \"lambda_4\", \"trainable\": true, \"dtype\": \"float32\", \"function\": {\"class_name\": \"__tuple__\", \"items\": [\"4wEAAAAAAAAAAwAAAAUAAAATAAAAc0QAAACIAHwAgwF9AXQAagF0AmoDfAGIAYMCdABqBIMCdAWI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\\nARAB\\n\", null, {\"class_name\": \"__tuple__\", \"items\": [{\"class_name\": \"ExpandDims\", \"config\": {\"name\": \"expand_dims\", \"trainable\": true, \"dtype\": \"float32\", \"axis\": -1}}, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 5.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 7.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 11.0, 11.0, 11.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 13.0, 13.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 18.0, 18.0, 18.0, 18.0, 18.0, 18.0, 18.0, 18.0, 18.0, 18.0, 18.0, 18.0, 18.0, 19.0, 19.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 21.0, 22.0, 22.0, 22.0, 22.0, 22.0, 22.0, 22.0, 22.0, 22.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 24.0, 25.0, 26.0, 26.0, 26.0, 26.0, 26.0, 26.0, 26.0, 26.0, 26.0, 26.0, 27.0, 28.0, 28.0, 28.0, 28.0, 28.0, 29.0, 30.0, 30.0, 30.0, 30.0, 30.0, 30.0, 31.0, 32.0, 32.0, 32.0, 32.0, 32.0, 34.0, 34.0, 34.0, 34.0, 34.0, 34.0, 35.0, 36.0, 36.0, 36.0, 37.0, 38.0, 38.0, 38.0, 39.0, 40.0, 40.0, 41.0, 42.0, 42.0, 43.0, 44.0, 44.0, 46.0, 46.0, 47.0, 48.0, 48.0, 50.0, 50.0, 52.0, 52.0, 54.0, 55.0, 55.0, 56.0, 57.0, 58.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 62.0, 62.0, 64.0, 65.0, 66.0, 68.0, 70.0, 72.0, 74.0, 77.0, 80.0, 82.0, 86.0, 89.0, 92.0, 96.0, 99.0, 104.0, 108.0, 114.0, 119.0, 125.0, 131.0, 139.0, 146.0, 157.0, 167.0, 176.0, 188.0, 198.0, 215.0, 236.0, 262.0, 306.0, 376.0, 462.0, 596.0, 942.0, 1428.0]]}]}, \"function_type\": \"lambda\", \"module\": \"google3.learning.smartchoices.research.clients.compiler_opt.policy_training.feature_ops\", \"output_shape\": null, \"output_shape_type\": \"raw\", \"output_shape_module\": null, \"arguments\": {}}}"
}
}
nodes {
children {
node_id: 90
local_name: "variables"
}
children {
node_id: 91
local_name: "regularization_losses"
}
children {
node_id: 92
local_name: "trainable_variables"
}
children {
node_id: 93
local_name: "keras_api"
}
children {
node_id: 234
local_name: "__call__"
}
children {
node_id: 235
local_name: "call_and_return_all_conditional_losses"
}
user_object {
identifier: "_tf_keras_layer"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"Lambda\", \"name\": \"lambda_5\", \"trainable\": true, \"expects_training_arg\": true, \"dtype\": \"float32\", \"batch_input_shape\": null, \"stateful\": false, \"config\": {\"name\": \"lambda_5\", \"trainable\": true, \"dtype\": \"float32\", \"function\": {\"class_name\": \"__tuple__\", \"items\": [\"4wEAAAAAAAAAAwAAAAUAAAATAAAAc0QAAACIAHwAgwF9AXQAagF0AmoDfAGIAYMCdABqBIMCdAWI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\\nARAB\\n\", null, {\"class_name\": \"__tuple__\", \"items\": [{\"class_name\": \"ExpandDims\", \"config\": {\"name\": \"expand_dims\", \"trainable\": true, \"dtype\": \"float32\", \"axis\": -1}}, [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 8.0, 8.0, 8.0, 8.0, 8.0, 9.0, 9.0, 9.0, 9.0, 9.0, 10.0, 10.0, 11.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 18.0, 20.0, 23.0, 29.0, 38.0, 60.0]]}]}, \"function_type\": \"lambda\", \"module\": \"google3.learning.smartchoices.research.clients.compiler_opt.policy_training.feature_ops\", \"output_shape\": null, \"output_shape_type\": \"raw\", \"output_shape_module\": null, \"arguments\": {}}}"
}
}
nodes {
children {
node_id: 94
local_name: "variables"
}
children {
node_id: 95
local_name: "regularization_losses"
}
children {
node_id: 96
local_name: "trainable_variables"
}
children {
node_id: 97
local_name: "keras_api"
}
children {
node_id: 236
local_name: "__call__"
}
children {
node_id: 237
local_name: "call_and_return_all_conditional_losses"
}
user_object {
identifier: "_tf_keras_layer"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"Lambda\", \"name\": \"lambda_6\", \"trainable\": true, \"expects_training_arg\": true, \"dtype\": \"float32\", \"batch_input_shape\": null, \"stateful\": false, \"config\": {\"name\": \"lambda_6\", \"trainable\": true, \"dtype\": \"float32\", \"function\": {\"class_name\": \"__tuple__\", \"items\": [\"4wEAAAAAAAAAAwAAAAUAAAATAAAAc0QAAACIAHwAgwF9AXQAagF0AmoDfAGIAYMCdABqBIMCdAWI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\\nARAB\\n\", null, {\"class_name\": \"__tuple__\", \"items\": [{\"class_name\": \"ExpandDims\", \"config\": {\"name\": \"expand_dims\", \"trainable\": true, \"dtype\": \"float32\", \"axis\": -1}}, [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 4.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 7.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 11.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 13.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 14.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 16.0, 17.0, 17.0, 17.0, 17.0, 17.0, 17.0, 17.0, 17.0, 17.0, 17.0, 17.0, 17.0, 17.0, 17.0, 17.0, 17.0, 18.0, 18.0, 18.0, 18.0, 18.0, 18.0, 18.0, 18.0, 18.0, 18.0, 18.0, 18.0, 18.0, 19.0, 19.0, 19.0, 19.0, 19.0, 19.0, 19.0, 19.0, 19.0, 19.0, 19.0, 19.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 21.0, 21.0, 21.0, 21.0, 21.0, 21.0, 21.0, 21.0, 22.0, 22.0, 22.0, 22.0, 22.0, 22.0, 22.0, 22.0, 23.0, 23.0, 23.0, 23.0, 23.0, 23.0, 23.0, 24.0, 24.0, 24.0, 24.0, 24.0, 25.0, 25.0, 25.0, 25.0, 25.0, 26.0, 26.0, 26.0, 26.0, 27.0, 27.0, 27.0, 28.0, 28.0, 28.0, 29.0, 29.0, 30.0, 30.0, 30.0, 31.0, 31.0, 32.0, 32.0, 33.0, 33.0, 34.0, 35.0, 37.0, 38.0, 40.0, 46.0, 51.0]]}]}, \"function_type\": \"lambda\", \"module\": \"google3.learning.smartchoices.research.clients.compiler_opt.policy_training.feature_ops\", \"output_shape\": null, \"output_shape_type\": \"raw\", \"output_shape_module\": null, \"arguments\": {}}}"
}
}
nodes {
children {
node_id: 98
local_name: "variables"
}
children {
node_id: 99
local_name: "regularization_losses"
}
children {
node_id: 100
local_name: "trainable_variables"
}
children {
node_id: 101
local_name: "keras_api"
}
children {
node_id: 238
local_name: "__call__"
}
children {
node_id: 239
local_name: "call_and_return_all_conditional_losses"
}
user_object {
identifier: "_tf_keras_layer"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"Lambda\", \"name\": \"lambda_7\", \"trainable\": true, \"expects_training_arg\": true, \"dtype\": \"float32\", \"batch_input_shape\": null, \"stateful\": false, \"config\": {\"name\": \"lambda_7\", \"trainable\": true, \"dtype\": \"float32\", \"function\": {\"class_name\": \"__tuple__\", \"items\": [\"4wEAAAAAAAAAAwAAAAUAAAATAAAAc0QAAACIAHwAgwF9AXQAagF0AmoDfAGIAYMCdABqBIMCdAWI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\\nARAB\\n\", null, {\"class_name\": \"__tuple__\", \"items\": [{\"class_name\": \"ExpandDims\", \"config\": {\"name\": \"expand_dims\", \"trainable\": true, \"dtype\": \"float32\", \"axis\": -1}}, [-15035.0, -15030.0, -15025.0, -15000.0, -14985.0, -14945.0, -14745.0, -70.0, -55.0, -55.0, -50.0, -50.0, -50.0, -45.0, -45.0, -45.0, -45.0, -45.0, -45.0, -45.0, -45.0, -45.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -40.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -35.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -30.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -25.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -20.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -15.0, -10.0, -10.0, -10.0, -10.0, -10.0, -10.0, -10.0, -10.0, -10.0, -10.0, -10.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, -5.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 20.0, 25.0, 25.0, 25.0, 25.0, 25.0, 25.0, 25.0, 30.0, 30.0, 30.0, 30.0, 30.0, 30.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 35.0, 40.0, 40.0, 40.0, 40.0, 40.0, 40.0, 40.0, 40.0, 40.0, 40.0, 40.0, 40.0, 45.0, 45.0, 45.0, 45.0, 45.0, 45.0, 45.0, 45.0, 45.0, 45.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 50.0, 55.0, 55.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 60.0, 65.0, 65.0, 65.0, 65.0, 65.0, 65.0, 65.0, 65.0, 65.0, 65.0, 65.0, 65.0, 70.0, 70.0, 70.0, 70.0, 70.0, 70.0, 70.0, 75.0, 75.0, 80.0, 80.0, 80.0, 85.0, 85.0, 85.0, 90.0, 90.0, 90.0, 90.0, 95.0, 95.0, 100.0, 100.0, 105.0, 110.0, 115.0, 120.0, 125.0, 125.0, 130.0, 140.0, 140.0, 145.0, 150.0, 155.0, 160.0, 160.0, 165.0, 170.0, 175.0, 180.0, 190.0, 200.0, 210.0, 215.0, 220.0, 220.0, 230.0, 235.0, 245.0, 250.0, 260.0, 275.0, 290.0, 305.0, 325.0, 350.0, 370.0, 390.0, 425.0, 460.0, 500.0, 560.0, 650.0, 790.0, 1025.0, 1600.0]]}]}, \"function_type\": \"lambda\", \"module\": \"google3.learning.smartchoices.research.clients.compiler_opt.policy_training.feature_ops\", \"output_shape\": null, \"output_shape_type\": \"raw\", \"output_shape_module\": null, \"arguments\": {}}}"
}
}
nodes {
children {
node_id: 102
local_name: "variables"
}
children {
node_id: 103
local_name: "regularization_losses"
}
children {
node_id: 104
local_name: "trainable_variables"
}
children {
node_id: 105
local_name: "keras_api"
}
children {
node_id: 240
local_name: "__call__"
}
children {
node_id: 241
local_name: "call_and_return_all_conditional_losses"
}
user_object {
identifier: "_tf_keras_layer"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"Lambda\", \"name\": \"lambda_8\", \"trainable\": true, \"expects_training_arg\": true, \"dtype\": \"float32\", \"batch_input_shape\": null, \"stateful\": false, \"config\": {\"name\": \"lambda_8\", \"trainable\": true, \"dtype\": \"float32\", \"function\": {\"class_name\": \"__tuple__\", \"items\": [\"4wEAAAAAAAAAAwAAAAUAAAATAAAAc0QAAACIAHwAgwF9AXQAagF0AmoDfAGIAYMCdABqBIMCdAWI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\\nARAB\\n\", null, {\"class_name\": \"__tuple__\", \"items\": [{\"class_name\": \"ExpandDims\", \"config\": {\"name\": \"expand_dims\", \"trainable\": true, \"dtype\": \"float32\", \"axis\": -1}}, [18.0, 29.0, 39.0, 48.0, 57.0, 64.0, 70.0, 76.0, 82.0, 87.0, 92.0, 97.0, 101.0, 105.0, 109.0, 113.0, 116.0, 120.0, 123.0, 127.0, 130.0, 134.0, 137.0, 140.0, 143.0, 146.0, 149.0, 152.0, 156.0, 159.0, 162.0, 165.0, 168.0, 171.0, 174.0, 177.0, 180.0, 183.0, 186.0, 188.0, 191.0, 194.0, 197.0, 200.0, 203.0, 205.0, 208.0, 211.0, 214.0, 217.0, 219.0, 222.0, 225.0, 228.0, 231.0, 233.0, 236.0, 239.0, 242.0, 244.0, 247.0, 250.0, 253.0, 255.0, 258.0, 261.0, 264.0, 266.0, 269.0, 272.0, 275.0, 278.0, 280.0, 283.0, 286.0, 289.0, 292.0, 294.0, 297.0, 300.0, 303.0, 305.0, 308.0, 311.0, 314.0, 317.0, 319.0, 322.0, 325.0, 327.0, 330.0, 333.0, 336.0, 339.0, 341.0, 344.0, 347.0, 350.0, 353.0, 355.0, 358.0, 361.0, 364.0, 367.0, 370.0, 373.0, 375.0, 378.0, 381.0, 384.0, 387.0, 390.0, 393.0, 396.0, 399.0, 401.0, 404.0, 407.0, 410.0, 413.0, 416.0, 419.0, 422.0, 425.0, 428.0, 431.0, 434.0, 437.0, 440.0, 443.0, 446.0, 449.0, 452.0, 455.0, 458.0, 461.0, 464.0, 467.0, 470.0, 473.0, 476.0, 479.0, 483.0, 486.0, 489.0, 492.0, 495.0, 498.0, 501.0, 504.0, 507.0, 511.0, 514.0, 517.0, 520.0, 523.0, 526.0, 530.0, 533.0, 536.0, 539.0, 542.0, 545.0, 549.0, 552.0, 555.0, 558.0, 562.0, 565.0, 569.0, 572.0, 575.0, 579.0, 582.0, 585.0, 589.0, 592.0, 595.0, 599.0, 602.0, 605.0, 609.0, 612.0, 616.0, 620.0, 623.0, 626.0, 630.0, 634.0, 637.0, 641.0, 644.0, 648.0, 651.0, 655.0, 658.0, 662.0, 665.0, 669.0, 672.0, 676.0, 680.0, 683.0, 687.0, 691.0, 694.0, 698.0, 702.0, 705.0, 709.0, 712.0, 716.0, 720.0, 724.0, 727.0, 731.0, 735.0, 739.0, 742.0, 746.0, 750.0, 754.0, 758.0, 761.0, 765.0, 769.0, 773.0, 777.0, 780.0, 784.0, 788.0, 792.0, 796.0, 800.0, 804.0, 808.0, 812.0, 816.0, 820.0, 823.0, 828.0, 832.0, 836.0, 840.0, 844.0, 848.0, 852.0, 856.0, 860.0, 864.0, 868.0, 873.0, 877.0, 881.0, 885.0, 889.0, 893.0, 897.0, 902.0, 906.0, 910.0, 914.0, 919.0, 923.0, 927.0, 931.0, 935.0, 940.0, 944.0, 948.0, 953.0, 957.0, 962.0, 966.0, 970.0, 975.0, 979.0, 984.0, 988.0, 993.0, 997.0, 1002.0, 1006.0, 1011.0, 1015.0, 1020.0, 1024.0, 1029.0, 1034.0, 1038.0, 1043.0, 1047.0, 1052.0, 1057.0, 1062.0, 1066.0, 1071.0, 1076.0, 1081.0, 1086.0, 1090.0, 1095.0, 1100.0, 1105.0, 1110.0, 1114.0, 1119.0, 1124.0, 1129.0, 1134.0, 1139.0, 1144.0, 1149.0, 1154.0, 1159.0, 1164.0, 1169.0, 1174.0, 1179.0, 1184.0, 1189.0, 1194.0, 1199.0, 1204.0, 1209.0, 1215.0, 1220.0, 1225.0, 1230.0, 1235.0, 1241.0, 1246.0, 1251.0, 1257.0, 1262.0, 1267.0, 1273.0, 1278.0, 1284.0, 1289.0, 1294.0, 1300.0, 1305.0, 1311.0, 1316.0, 1322.0, 1327.0, 1333.0, 1338.0, 1344.0, 1350.0, 1355.0, 1361.0, 1367.0, 1372.0, 1378.0, 1383.0, 1389.0, 1395.0, 1401.0, 1407.0, 1413.0, 1418.0, 1424.0, 1430.0, 1436.0, 1442.0, 1448.0, 1454.0, 1459.0, 1465.0, 1472.0, 1477.0, 1483.0, 1489.0, 1495.0, 1501.0, 1507.0, 1514.0, 1520.0, 1526.0, 1532.0, 1538.0, 1545.0, 1551.0, 1557.0, 1564.0, 1570.0, 1576.0, 1583.0, 1589.0, 1596.0, 1602.0, 1608.0, 1615.0, 1621.0, 1628.0, 1634.0, 1641.0, 1647.0, 1654.0, 1661.0, 1667.0, 1674.0, 1681.0, 1687.0, 1694.0, 1701.0, 1708.0, 1715.0, 1722.0, 1729.0, 1735.0, 1742.0, 1749.0, 1756.0, 1763.0, 1770.0, 1777.0, 1784.0, 1791.0, 1798.0, 1806.0, 1812.0, 1820.0, 1827.0, 1835.0, 1841.0, 1849.0, 1856.0, 1863.0, 1871.0, 1878.0, 1885.0, 1893.0, 1901.0, 1908.0, 1915.0, 1923.0, 1930.0, 1938.0, 1946.0, 1953.0, 1961.0, 1969.0, 1976.0, 1984.0, 1992.0, 2000.0, 2007.0, 2015.0, 2023.0, 2031.0, 2039.0, 2047.0, 2055.0, 2063.0, 2071.0, 2079.0, 2087.0, 2095.0, 2104.0, 2112.0, 2120.0, 2128.0, 2137.0, 2146.0, 2154.0, 2162.0, 2171.0, 2179.0, 2188.0, 2197.0, 2205.0, 2214.0, 2223.0, 2232.0, 2241.0, 2250.0, 2258.0, 2268.0, 2277.0, 2285.0, 2294.0, 2304.0, 2313.0, 2322.0, 2331.0, 2340.0, 2350.0, 2359.0, 2368.0, 2378.0, 2388.0, 2397.0, 2407.0, 2416.0, 2426.0, 2436.0, 2446.0, 2455.0, 2465.0, 2475.0, 2485.0, 2495.0, 2505.0, 2515.0, 2525.0, 2535.0, 2545.0, 2556.0, 2566.0, 2577.0, 2587.0, 2598.0, 2609.0, 2620.0, 2631.0, 2641.0, 2652.0, 2663.0, 2674.0, 2685.0, 2696.0, 2708.0, 2719.0, 2730.0, 2742.0, 2753.0, 2764.0, 2776.0, 2788.0, 2799.0, 2811.0, 2823.0, 2835.0, 2847.0, 2858.0, 2870.0, 2882.0, 2894.0, 2906.0, 2919.0, 2931.0, 2943.0, 2956.0, 2968.0, 2981.0, 2994.0, 3006.0, 3019.0, 3032.0, 3045.0, 3058.0, 3070.0, 3083.0, 3096.0, 3109.0, 3121.0, 3134.0, 3148.0, 3161.0, 3174.0, 3187.0, 3200.0, 3214.0, 3228.0, 3242.0, 3255.0, 3268.0, 3283.0, 3297.0, 3310.0, 3325.0, 3340.0, 3353.0, 3368.0, 3383.0, 3398.0, 3412.0, 3427.0, 3442.0, 3457.0, 3471.0, 3487.0, 3502.0, 3516.0, 3531.0, 3546.0, 3561.0, 3577.0, 3593.0, 3608.0, 3625.0, 3641.0, 3657.0, 3673.0, 3690.0, 3706.0, 3722.0, 3738.0, 3755.0, 3772.0, 3789.0, 3805.0, 3823.0, 3839.0, 3856.0, 3873.0, 3891.0, 3908.0, 3926.0, 3944.0, 3960.0, 3977.0, 3995.0, 4013.0, 4031.0, 4048.0, 4067.0, 4085.0, 4104.0, 4122.0, 4140.0, 4159.0, 4177.0, 4196.0, 4215.0, 4234.0, 4253.0, 4272.0, 4291.0, 4311.0, 4332.0, 4351.0, 4371.0, 4391.0, 4412.0, 4433.0, 4454.0, 4474.0, 4496.0, 4518.0, 4538.0, 4558.0, 4579.0, 4601.0, 4619.0, 4640.0, 4662.0, 4684.0, 4706.0, 4728.0, 4751.0, 4771.0, 4794.0, 4818.0, 4840.0, 4863.0, 4887.0, 4910.0, 4933.0, 4956.0, 4980.0, 5004.0, 5028.0, 5052.0, 5076.0, 5100.0, 5125.0, 5152.0, 5175.0, 5200.0, 5226.0, 5251.0, 5278.0, 5304.0, 5329.0, 5354.0, 5381.0, 5407.0, 5433.0, 5460.0, 5488.0, 5516.0, 5544.0, 5573.0, 5600.0, 5628.0, 5656.0, 5684.0, 5713.0, 5741.0, 5771.0, 5799.0, 5830.0, 5860.0, 5891.0, 5921.0, 5951.0, 5980.0, 6010.0, 6041.0, 6073.0, 6105.0, 6133.0, 6163.0, 6195.0, 6227.0, 6258.0, 6291.0, 6322.0, 6356.0, 6390.0, 6424.0, 6457.0, 6491.0, 6527.0, 6561.0, 6596.0, 6631.0, 6665.0, 6701.0, 6736.0, 6771.0, 6805.0, 6840.0, 6877.0, 6911.0, 6947.0, 6985.0, 7022.0, 7059.0, 7097.0, 7135.0, 7174.0, 7212.0, 7251.0, 7289.0, 7327.0, 7366.0, 7406.0, 7447.0, 7486.0, 7525.0, 7566.0, 7606.0, 7646.0, 7688.0, 7728.0, 7771.0, 7814.0, 7859.0, 7901.0, 7949.0, 7992.0, 8036.0, 8082.0, 8127.0, 8173.0, 8218.0, 8262.0, 8309.0, 8353.0, 8397.0, 8444.0, 8489.0, 8539.0, 8585.0, 8632.0, 8682.0, 8727.0, 8777.0, 8828.0, 8879.0, 8929.0, 8982.0, 9037.0, 9087.0, 9140.0, 9193.0, 9250.0, 9305.0, 9361.0, 9418.0, 9475.0, 9532.0, 9589.0, 9644.0, 9699.0, 9758.0, 9818.0, 9875.0, 9935.0, 9997.0, 10057.0, 10117.0, 10174.0, 10232.0, 10296.0, 10356.0, 10419.0, 10482.0, 10546.0, 10608.0, 10670.0, 10729.0, 10790.0, 10855.0, 10920.0, 10990.0, 11054.0, 11118.0, 11181.0, 11248.0, 11316.0, 11385.0, 11454.0, 11526.0, 11597.0, 11667.0, 11740.0, 11820.0, 11897.0, 11973.0, 12046.0, 12126.0, 12204.0, 12287.0, 12370.0, 12456.0, 12538.0, 12627.0, 12714.0, 12799.0, 12883.0, 12971.0, 13062.0, 13154.0, 13233.0, 13328.0, 13418.0, 13511.0, 13607.0, 13709.0, 13806.0, 13903.0, 14002.0, 14104.0, 14200.0, 14288.0, 14391.0, 14488.0, 14590.0, 14698.0, 14808.0, 14910.0, 15020.0, 15126.0, 15238.0, 15347.0, 15456.0, 15574.0, 15692.0, 15786.0, 15896.0, 16016.0, 16136.0, 16250.0, 16352.0, 16474.0, 16575.0, 16702.0, 16835.0, 16965.0, 17096.0, 17232.0, 17370.0, 17443.0, 17581.0, 17719.0, 17864.0, 17976.0, 18116.0, 18250.0, 18396.0, 18540.0, 18690.0, 18840.0, 18989.0, 19136.0, 19294.0, 19445.0, 19589.0, 19750.0, 19905.0, 20064.0, 20191.0, 20325.0, 20497.0, 20662.0, 20833.0, 20981.0, 21152.0, 21334.0, 21510.0, 21642.0, 21821.0, 22001.0, 22186.0, 22379.0, 22568.0, 22770.0, 22958.0, 23162.0, 23360.0, 23524.0, 23737.0, 23960.0, 24175.0, 24395.0, 24631.0, 24865.0, 25091.0, 25327.0, 25580.0, 25833.0, 26089.0, 26361.0, 26636.0, 26889.0, 27155.0, 27436.0, 27715.0, 28003.0, 28303.0, 28600.0, 28916.0, 29223.0, 29553.0, 29884.0, 30200.0, 30538.0, 30868.0, 31211.0, 31548.0, 31881.0, 32253.0, 32605.0, 32980.0, 33385.0, 33805.0, 34254.0, 34723.0, 35167.0, 35666.0, 36125.0, 36652.0, 37177.0, 37739.0, 38321.0, 38932.0, 39640.0, 40337.0, 41000.0, 41626.0, 42385.0, 43122.0, 43890.0, 44687.0, 45609.0, 46520.0, 47489.0, 48432.0, 49458.0, 50511.0, 51561.0, 52568.0, 53676.0, 54936.0, 56071.0, 57302.0, 58513.0, 59800.0, 61192.0, 62702.0, 64205.0, 65868.0, 67780.0, 69960.0, 72330.0, 74918.0, 77540.0, 80344.0, 83727.0, 87662.0, 93589.0, 101441.0, 110544.0]]}]}, \"function_type\": \"lambda\", \"module\": \"google3.learning.smartchoices.research.clients.compiler_opt.policy_training.feature_ops\", \"output_shape\": null, \"output_shape_type\": \"raw\", \"output_shape_module\": null, \"arguments\": {}}}"
}
}
nodes {
children {
node_id: 106
local_name: "variables"
}
children {
node_id: 107
local_name: "regularization_losses"
}
children {
node_id: 108
local_name: "trainable_variables"
}
children {
node_id: 109
local_name: "keras_api"
}
children {
node_id: 242
local_name: "__call__"
}
children {
node_id: 243
local_name: "call_and_return_all_conditional_losses"
}
user_object {
identifier: "_tf_keras_layer"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"Lambda\", \"name\": \"lambda_9\", \"trainable\": true, \"expects_training_arg\": true, \"dtype\": \"float32\", \"batch_input_shape\": null, \"stateful\": false, \"config\": {\"name\": \"lambda_9\", \"trainable\": true, \"dtype\": \"float32\", \"function\": {\"class_name\": \"__tuple__\", \"items\": [\"4wEAAAAAAAAAAgAAAAQAAAATAAAAcxgAAACIAHwAgwF9AXQAagF8AXQAagJkAY0CUwApAk4pAdoF\\nZHR5cGUpA9oCdGbaCnplcm9zX2xpa2XaB2Zsb2F0MzIpAtoDb2Jz2gxleHBhbmRlZF9vYnMpAdoO\\nZXhwYW5kX2RpbXNfb3CpAPr0L2V4cG9ydC9oZGEzL2JvcmdsZXQvbG9jYWxfcmFtX2ZzX2RpcnMv\\nMC55dW5kaV9tdXBwZXRfMF8xMjI3MDgzMy4xMy55dW5kaS4xOTQ3MzE0MTc5NjEuOGY0ZjlmOThj\\nYjdhMzA1NS9idWlsZF90YXJnZXRfdHJhaW5fcGFyX2Q5NzU3NTM3MDE2YTJlYjgvdHJhaW4ucGFy\\nL2dvb2dsZTMvbGVhcm5pbmcvc21hcnRjaG9pY2VzL3Jlc2VhcmNoL2NsaWVudHMvY29tcGlsZXJf\\nb3B0L3BvbGljeV90cmFpbmluZy9mZWF0dXJlX29wcy5wedoPZGlzY2FyZF9mZWF0dXJlJwAAAHME\\nAAAAAAEIAQ==\\n\", null, {\"class_name\": \"__tuple__\", \"items\": [{\"class_name\": \"ExpandDims\", \"config\": {\"name\": \"expand_dims\", \"trainable\": true, \"dtype\": \"float32\", \"axis\": -1}}]}]}, \"function_type\": \"lambda\", \"module\": \"google3.learning.smartchoices.research.clients.compiler_opt.policy_training.feature_ops\", \"output_shape\": null, \"output_shape_type\": \"raw\", \"output_shape_module\": null, \"arguments\": {}}}"
}
}
nodes {
children {
node_id: 110
local_name: "variables"
}
children {
node_id: 111
local_name: "regularization_losses"
}
children {
node_id: 112
local_name: "trainable_variables"
}
children {
node_id: 113
local_name: "keras_api"
}
children {
node_id: 244
local_name: "__call__"
}
children {
node_id: 245
local_name: "call_and_return_all_conditional_losses"
}
user_object {
identifier: "_tf_keras_layer"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"Lambda\", \"name\": \"lambda_10\", \"trainable\": true, \"expects_training_arg\": true, \"dtype\": \"float32\", \"batch_input_shape\": null, \"stateful\": false, \"config\": {\"name\": \"lambda_10\", \"trainable\": true, \"dtype\": \"float32\", \"function\": {\"class_name\": \"__tuple__\", \"items\": [\"4wEAAAAAAAAAAwAAAAUAAAATAAAAc0QAAACIAHwAgwF9AXQAagF0AmoDfAGIAYMCdABqBIMCdAWI\\nAYMBGwB9AnQAagZ8AnQAagd8AoMBfAJ8AhQAZwNkA2QCjQJTACkETukBAAAAKQHaBGF4aXPp////\\n/ykI2gJ0ZtoEY2FzdNoOY29udHJpYl9sYXllcnPaCWJ1Y2tldGl6ZdoHZmxvYXQzMtoDbGVu2gZj\\nb25jYXTaBHNxcnQpA9oDb2Jz2gxleHBhbmRlZF9vYnPaAXgpAtoOZXhwYW5kX2RpbXNfb3DaCHF1\\nYW50aWxlqQD69C9leHBvcnQvaGRhMy9ib3JnbGV0L2xvY2FsX3JhbV9mc19kaXJzLzAueXVuZGlf\\nbXVwcGV0XzBfMTIyNzA4MzMuMTMueXVuZGkuMTk0NzMxNDE3OTYxLjhmNGY5Zjk4Y2I3YTMwNTUv\\nYnVpbGRfdGFyZ2V0X3RyYWluX3Bhcl9kOTc1NzUzNzAxNmEyZWI4L3RyYWluLnBhci9nb29nbGUz\\nL2xlYXJuaW5nL3NtYXJ0Y2hvaWNlcy9yZXNlYXJjaC9jbGllbnRzL2NvbXBpbGVyX29wdC9wb2xp\\nY3lfdHJhaW5pbmcvZmVhdHVyZV9vcHMucHnaDW5vcm1hbGl6YXRpb24wAAAAcwoAAAAAAQgBBAEK\\nARAB\\n\", null, {\"class_name\": \"__tuple__\", \"items\": [{\"class_name\": \"ExpandDims\", \"config\": {\"name\": \"expand_dims\", \"trainable\": true, \"dtype\": \"float32\", \"axis\": -1}}, [13.0, 38.0, 56.0, 70.0, 82.0, 94.0, 104.0, 114.0, 123.0, 131.0, 139.0, 148.0, 152.0, 153.0, 158.0, 163.0, 170.0, 174.0, 178.0, 180.0, 183.0, 186.0, 188.0, 190.0, 192.0, 196.0, 198.0, 201.0, 205.0, 208.0, 212.0, 215.0, 219.0, 221.0, 225.0, 227.0, 229.0, 232.0, 233.0, 236.0, 239.0, 242.0, 245.0, 248.0, 250.0, 252.0, 254.0, 256.0, 259.0, 261.0, 264.0, 267.0, 270.0, 272.0, 275.0, 278.0, 280.0, 283.0, 285.0, 287.0, 290.0, 293.0, 295.0, 297.0, 300.0, 303.0, 305.0, 308.0, 311.0, 313.0, 316.0, 319.0, 322.0, 325.0, 329.0, 331.0, 333.0, 336.0, 338.0, 340.0, 343.0, 345.0, 347.0, 347.0, 349.0, 351.0, 353.0, 355.0, 357.0, 359.0, 361.0, 363.0, 365.0, 368.0, 369.0, 371.0, 373.0, 375.0, 377.0, 380.0, 382.0, 385.0, 387.0, 389.0, 391.0, 394.0, 396.0, 398.0, 400.0, 403.0, 405.0, 408.0, 410.0, 412.0, 415.0, 417.0, 420.0, 422.0, 425.0, 427.0, 429.0, 432.0, 434.0, 437.0, 439.0, 442.0, 444.0, 446.0, 449.0, 451.0, 454.0, 456.0, 458.0, 461.0, 463.0, 466.0, 469.0, 472.0, 474.0, 476.0, 479.0, 482.0, 483.0, 486.0, 489.0, 492.0, 495.0, 498.0, 500.0, 503.0, 505.0, 508.0, 510.0, 513.0, 516.0, 519.0, 522.0, 524.0, 528.0, 530.0, 533.0, 536.0, 539.0, 541.0, 544.0, 547.0, 550.0, 553.0, 556.0, 559.0, 561.0, 563.0, 567.0, 570.0, 572.0, 575.0, 577.0, 580.0, 584.0, 586.0, 589.0, 592.0, 595.0, 598.0, 601.0, 605.0, 607.0, 611.0, 613.0, 617.0, 620.0, 623.0, 626.0, 629.0, 632.0, 635.0, 639.0, 642.0, 645.0, 648.0, 651.0, 654.0, 657.0, 660.0, 662.0, 666.0, 669.0, 672.0, 676.0, 679.0, 682.0, 685.0, 688.0, 690.0, 693.0, 696.0, 699.0, 702.0, 705.0, 709.0, 712.0, 714.0, 718.0, 721.0, 724.0, 726.0, 728.0, 729.0, 731.0, 734.0, 737.0, 741.0, 745.0, 748.0, 750.0, 753.0, 756.0, 760.0, 763.0, 766.0, 770.0, 773.0, 776.0, 779.0, 782.0, 786.0, 788.0, 793.0, 796.0, 798.0, 802.0, 805.0, 808.0, 811.0, 815.0, 818.0, 820.0, 824.0, 827.0, 829.0, 832.0, 835.0, 838.0, 842.0, 846.0, 849.0, 854.0, 857.0, 860.0, 864.0, 867.0, 871.0, 875.0, 879.0, 882.0, 887.0, 890.0, 893.0, 897.0, 901.0, 905.0, 908.0, 911.0, 915.0, 918.0, 921.0, 925.0, 929.0, 932.0, 934.0, 937.0, 940.0, 943.0, 946.0, 950.0, 953.0, 956.0, 961.0, 965.0, 969.0, 973.0, 976.0, 980.0, 982.0, 985.0, 990.0, 994.0, 997.0, 1001.0, 1005.0, 1007.0, 1010.0, 1014.0, 1018.0, 1022.0, 1025.0, 1028.0, 1033.0, 1035.0, 1038.0, 1042.0, 1047.0, 1052.0, 1056.0, 1060.0, 1063.0, 1067.0, 1071.0, 1075.0, 1079.0, 1083.0, 1086.0, 1088.0, 1092.0, 1097.0, 1102.0, 1106.0, 1109.0, 1113.0, 1117.0, 1120.0, 1125.0, 1129.0, 1134.0, 1137.0, 1142.0, 1146.0, 1150.0, 1151.0, 1155.0, 1159.0, 1162.0, 1166.0, 1170.0, 1174.0, 1177.0, 1181.0, 1185.0, 1188.0, 1193.0, 1196.0, 1203.0, 1207.0, 1212.0, 1214.0, 1217.0, 1220.0, 1222.0, 1222.0, 1226.0, 1229.0, 1233.0, 1237.0, 1241.0, 1246.0, 1250.0, 1253.0, 1257.0, 1262.0, 1267.0, 1272.0, 1278.0, 1283.0, 1287.0, 1293.0, 1297.0, 1301.0, 1304.0, 1309.0, 1315.0, 1320.0, 1325.0, 1329.0, 1333.0, 1336.0, 1341.0, 1344.0, 1348.0, 1351.0, 1357.0, 1363.0, 1368.0, 1374.0, 1379.0, 1383.0, 1386.0, 1391.0, 1395.0, 1399.0, 1403.0, 1407.0, 1410.0, 1415.0, 1418.0, 1423.0, 1428.0, 1432.0, 1436.0, 1438.0, 1442.0, 1446.0, 1450.0, 1454.0, 1462.0, 1467.0, 1472.0, 1477.0, 1483.0, 1488.0, 1492.0, 1496.0, 1503.0, 1508.0, 1513.0, 1518.0, 1520.0, 1526.0, 1531.0, 1534.0, 1538.0, 1542.0, 1546.0, 1552.0, 1558.0, 1564.0, 1568.0, 1573.0, 1578.0, 1581.0, 1590.0, 1596.0, 1601.0, 1606.0, 1611.0, 1616.0, 1622.0, 1629.0, 1634.0, 1640.0, 1647.0, 1651.0, 1657.0, 1660.0, 1665.0, 1672.0, 1678.0, 1686.0, 1692.0, 1698.0, 1704.0, 1709.0, 1714.0, 1719.0, 1724.0, 1730.0, 1737.0, 1744.0, 1751.0, 1755.0, 1761.0, 1764.0, 1772.0, 1778.0, 1784.0, 1789.0, 1799.0, 1804.0, 1811.0, 1819.0, 1825.0, 1830.0, 1838.0, 1849.0, 1858.0, 1862.0, 1868.0, 1872.0, 1878.0, 1885.0, 1888.0, 1892.0, 1897.0, 1902.0, 1907.0, 1919.0, 1926.0, 1932.0, 1936.0, 1941.0, 1946.0, 1952.0, 1960.0, 1968.0, 1977.0, 1985.0, 1992.0, 1997.0, 2006.0, 2012.0, 2018.0, 2026.0, 2034.0, 2044.0, 2050.0, 2057.0, 2064.0, 2069.0, 2075.0, 2082.0, 2091.0, 2098.0, 2107.0, 2122.0, 2126.0, 2135.0, 2146.0, 2149.0, 2157.0, 2163.0, 2172.0, 2178.0, 2184.0, 2191.0, 2198.0, 2208.0, 2216.0, 2223.0, 2235.0, 2242.0, 2252.0, 2263.0, 2272.0, 2277.0, 2288.0, 2296.0, 2306.0, 2311.0, 2318.0, 2323.0, 2334.0, 2341.0, 2356.0, 2366.0, 2373.0, 2379.0, 2386.0, 2407.0, 2416.0, 2423.0, 2432.0, 2438.0, 2448.0, 2453.0, 2464.0, 2473.0, 2473.0, 2481.0, 2492.0, 2504.0, 2511.0, 2523.0, 2529.0, 2537.0, 2545.0, 2556.0, 2566.0, 2575.0, 2584.0, 2592.0, 2602.0, 2613.0, 2624.0, 2636.0, 2643.0, 2647.0, 2652.0, 2664.0, 2675.0, 2688.0, 2693.0, 2702.0, 2709.0, 2722.0, 2739.0, 2754.0, 2766.0, 2776.0, 2786.0, 2799.0, 2810.0, 2832.0, 2840.0, 2849.0, 2860.0, 2873.0, 2889.0, 2908.0, 2914.0, 2926.0, 2939.0, 2950.0, 2961.0, 2969.0, 2978.0, 2990.0, 2999.0, 3023.0, 3032.0, 3049.0, 3066.0, 3085.0, 3101.0, 3107.0, 3117.0, 3129.0, 3144.0, 3167.0, 3190.0, 3212.0, 3229.0, 3238.0, 3264.0, 3293.0, 3302.0, 3309.0, 3314.0, 3323.0, 3344.0, 3352.0, 3362.0, 3390.0, 3400.0, 3411.0, 3435.0, 3456.0, 3470.0, 3485.0, 3498.0, 3505.0, 3519.0, 3539.0, 3545.0, 3545.0, 3560.0, 3576.0, 3597.0, 3607.0, 3621.0, 3641.0, 3665.0, 3679.0, 3701.0, 3714.0, 3733.0, 3741.0, 3745.0, 3757.0, 3773.0, 3787.0, 3795.0, 3805.0, 3822.0, 3835.0, 3844.0, 3861.0, 3872.0, 3878.0, 3897.0, 3919.0, 3941.0, 3971.0, 4004.0, 4014.0, 4019.0, 4061.0, 4068.0, 4089.0, 4108.0, 4117.0, 4125.0, 4146.0, 4165.0, 4194.0, 4204.0, 4224.0, 4236.0, 4263.0, 4290.0, 4301.0, 4319.0, 4326.0, 4347.0, 4369.0, 4386.0, 4413.0, 4435.0, 4451.0, 4451.0, 4451.0, 4476.0, 4500.0, 4539.0, 4579.0, 4592.0, 4600.0, 4622.0, 4650.0, 4683.0, 4714.0, 4742.0, 4755.0, 4771.0, 4788.0, 4816.0, 4828.0, 4831.0, 4831.0, 4831.0, 4843.0, 4852.0, 4865.0, 4896.0, 4915.0, 4931.0, 4952.0, 4965.0, 4983.0, 5007.0, 5043.0, 5061.0, 5081.0, 5095.0, 5122.0, 5143.0, 5171.0, 5204.0, 5226.0, 5233.0, 5250.0, 5281.0, 5320.0, 5323.0, 5328.0, 5345.0, 5374.0, 5413.0, 5466.0, 5492.0, 5524.0, 5555.0, 5567.0, 5610.0, 5676.0, 5701.0, 5716.0, 5744.0, 5768.0, 5795.0, 5818.0, 5854.0, 5906.0, 5934.0, 5960.0, 5975.0, 5993.0, 6025.0, 6034.0, 6051.0, 6082.0, 6106.0, 6125.0, 6159.0, 6187.0, 6242.0, 6287.0, 6311.0, 6332.0, 6348.0, 6358.0, 6368.0, 6377.0, 6402.0, 6407.0, 6428.0, 6450.0, 6475.0, 6498.0, 6505.0, 6533.0, 6565.0, 6580.0, 6595.0, 6611.0, 6654.0, 6658.0, 6705.0, 6751.0, 6786.0, 6828.0, 6876.0, 6896.0, 6948.0, 6964.0, 7065.0, 7082.0, 7118.0, 7184.0, 7214.0, 7271.0, 7310.0, 7357.0, 7405.0, 7506.0, 7613.0, 7641.0, 7675.0, 7720.0, 7781.0, 7833.0, 7860.0, 7898.0, 7929.0, 8044.0, 8104.0, 8148.0, 8236.0, 8273.0, 8313.0, 8349.0, 8381.0, 8409.0, 8498.0, 8507.0, 8524.0, 8570.0, 8607.0, 8630.0, 8637.0, 8675.0, 8700.0, 8714.0, 8734.0, 8776.0, 8836.0, 8854.0, 8867.0, 8868.0, 9065.0, 9113.0, 9121.0, 9241.0, 9357.0, 9360.0, 9585.0, 9613.0, 9684.0, 9727.0, 9751.0, 9777.0, 9802.0, 9889.0, 9903.0, 9914.0, 9978.0, 10061.0, 10192.0, 10213.0, 10345.0, 10369.0, 10404.0, 10430.0, 10471.0, 10481.0, 10489.0, 10492.0, 10494.0, 10524.0, 10554.0, 10557.0, 10560.0, 10562.0, 10641.0, 10716.0, 10842.0, 10897.0, 10967.0, 11053.0, 11128.0, 11137.0, 11328.0, 11336.0, 11401.0, 11532.0, 11573.0, 11860.0, 11880.0, 12013.0, 12305.0, 12358.0, 12386.0, 12404.0, 12456.0, 12456.0, 12476.0, 12615.0, 12677.0, 12981.0, 13094.0, 13197.0, 13708.0, 13717.0, 13788.0, 14049.0, 14112.0, 14224.0, 14257.0, 14681.0, 14901.0, 15006.0, 15071.0, 15100.0, 15248.0, 15669.0, 15877.0, 15953.0, 15953.0, 16066.0, 16072.0, 16271.0, 16292.0, 16386.0, 16490.0, 16633.0, 16670.0, 16834.0, 16896.0, 17543.0, 17693.0, 17800.0, 17859.0, 18397.0, 18811.0, 18826.0, 18971.0, 19304.0, 19319.0, 19695.0, 20378.0, 20865.0, 21313.0, 21330.0, 22321.0, 22760.0, 22770.0, 23783.0, 23785.0, 24525.0, 24844.0, 24848.0, 24964.0, 24966.0, 27468.0, 27478.0, 27555.0, 27555.0, 28215.0, 28219.0, 28336.0, 28490.0, 30213.0, 30228.0, 30242.0, 34116.0, 43518.0, 43518.0, 43518.0, 43852.0, 43852.0, 43852.0]]}]}, \"function_type\": \"lambda\", \"module\": \"google3.learning.smartchoices.research.clients.compiler_opt.policy_training.feature_ops\", \"output_shape\": null, \"output_shape_type\": \"raw\", \"output_shape_module\": null, \"arguments\": {}}}"
}
}
nodes {
children {
node_id: 114
local_name: "variables"
}
children {
node_id: 115
local_name: "regularization_losses"
}
children {
node_id: 116
local_name: "trainable_variables"
}
children {
node_id: 117
local_name: "keras_api"
}
children {
node_id: 246
local_name: "__call__"
}
children {
node_id: 247
local_name: "call_and_return_all_conditional_losses"
}
user_object {
identifier: "_tf_keras_layer"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"Lambda\", \"name\": \"lambda_11\", \"trainable\": true, \"expects_training_arg\": true, \"dtype\": \"float32\", \"batch_input_shape\": null, \"stateful\": false, \"config\": {\"name\": \"lambda_11\", \"trainable\": true, \"dtype\": \"float32\", \"function\": {\"class_name\": \"__tuple__\", \"items\": [\"4wEAAAAAAAAAAwAAAAUAAAATAAAAc0QAAACIAHwAgwF9AXQAagF0AmoDfAGIAYMCdABqBIMCdAWI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\\nARAB\\n\", null, {\"class_name\": \"__tuple__\", \"items\": [{\"class_name\": \"ExpandDims\", \"config\": {\"name\": \"expand_dims\", \"trainable\": true, \"dtype\": \"float32\", \"axis\": -1}}, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 3.0, 4.0]]}]}, \"function_type\": \"lambda\", \"module\": \"google3.learning.smartchoices.research.clients.compiler_opt.policy_training.feature_ops\", \"output_shape\": null, \"output_shape_type\": \"raw\", \"output_shape_module\": null, \"arguments\": {}}}"
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 118
local_name: "layer_metrics"
}
children {
node_id: 53
local_name: "variables"
}
children {
node_id: 119
local_name: "layer_regularization_losses"
}
children {
node_id: 120
local_name: "metrics"
}
children {
node_id: 121
local_name: "layers"
}
children {
node_id: 54
local_name: "regularization_losses"
}
children {
node_id: 122
local_name: "non_trainable_variables"
}
children {
node_id: 55
local_name: "trainable_variables"
}
children {
node_id: 222
local_name: "__call__"
}
children {
node_id: 223
local_name: "call_and_return_all_conditional_losses"
}
children {
node_id: 223
local_name: "call_and_return_conditional_losses"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 123
local_name: "variables"
}
children {
node_id: 124
local_name: "regularization_losses"
}
children {
node_id: 125
local_name: "trainable_variables"
}
children {
node_id: 126
local_name: "keras_api"
}
children {
node_id: 248
local_name: "__call__"
}
children {
node_id: 249
local_name: "call_and_return_all_conditional_losses"
}
user_object {
identifier: "_tf_keras_layer"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"Flatten\", \"name\": \"flatten\", \"trainable\": true, \"expects_training_arg\": false, \"dtype\": \"float32\", \"batch_input_shape\": null, \"stateful\": false, \"config\": {\"name\": \"flatten\", \"trainable\": true, \"dtype\": \"float32\", \"data_format\": \"channels_last\"}, \"input_spec\": {\"class_name\": \"InputSpec\", \"config\": {\"dtype\": null, \"shape\": null, \"ndim\": null, \"max_ndim\": null, \"min_ndim\": 1, \"axes\": {}}}}"
}
}
nodes {
children {
node_id: 10
local_name: "kernel"
}
children {
node_id: 11
local_name: "bias"
}
children {
node_id: 127
local_name: "variables"
}
children {
node_id: 128
local_name: "regularization_losses"
}
children {
node_id: 129
local_name: "trainable_variables"
}
children {
node_id: 130
local_name: "keras_api"
}
children {
node_id: 250
local_name: "__call__"
}
children {
node_id: 251
local_name: "call_and_return_all_conditional_losses"
}
user_object {
identifier: "_tf_keras_layer"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"Dense\", \"name\": \"dense\", \"trainable\": true, \"expects_training_arg\": false, \"dtype\": \"float32\", \"batch_input_shape\": null, \"stateful\": false, \"config\": {\"name\": \"dense\", \"trainable\": true, \"dtype\": \"float32\", \"units\": 100, \"activation\": \"relu\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"VarianceScaling\", \"config\": {\"scale\": 2.0, \"mode\": \"fan_in\", \"distribution\": \"truncated_normal\", \"seed\": null, \"dtype\": \"float32\"}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}, \"input_spec\": {\"class_name\": \"InputSpec\", \"config\": {\"dtype\": null, \"shape\": null, \"ndim\": null, \"max_ndim\": null, \"min_ndim\": 2, \"axes\": {\"-1\": 34}}}, \"build_input_shape\": {\"class_name\": \"TensorShape\", \"items\": [0, 34]}}"
}
}
nodes {
children {
node_id: 12
local_name: "kernel"
}
children {
node_id: 13
local_name: "bias"
}
children {
node_id: 131
local_name: "variables"
}
children {
node_id: 132
local_name: "regularization_losses"
}
children {
node_id: 133
local_name: "trainable_variables"
}
children {
node_id: 134
local_name: "keras_api"
}
children {
node_id: 252
local_name: "__call__"
}
children {
node_id: 253
local_name: "call_and_return_all_conditional_losses"
}
user_object {
identifier: "_tf_keras_layer"
version {
producer: 1
min_consumer: 1
}
metadata: "{\"class_name\": \"Dense\", \"name\": \"dense_1\", \"trainable\": true, \"expects_training_arg\": false, \"dtype\": \"float32\", \"batch_input_shape\": null, \"stateful\": false, \"config\": {\"name\": \"dense_1\", \"trainable\": true, \"dtype\": \"float32\", \"units\": 40, \"activation\": \"relu\", \"use_bias\": true, \"kernel_initializer\": {\"class_name\": \"VarianceScaling\", \"config\": {\"scale\": 2.0, \"mode\": \"fan_in\", \"distribution\": \"truncated_normal\", \"seed\": null, \"dtype\": \"float32\"}}, \"bias_initializer\": {\"class_name\": \"Zeros\", \"config\": {}}, \"kernel_regularizer\": null, \"bias_regularizer\": null, \"activity_regularizer\": null, \"kernel_constraint\": null, \"bias_constraint\": null}, \"input_spec\": {\"class_name\": \"InputSpec\", \"config\": {\"dtype\": null, \"shape\": null, \"ndim\": null, \"max_ndim\": null, \"min_ndim\": 2, \"axes\": {\"-1\": 100}}}, \"build_input_shape\": {\"class_name\": \"TensorShape\", \"items\": [0, 100]}}"
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 41
local_name: "0"
}
children {
node_id: 42
local_name: "1"
}
children {
node_id: 43
local_name: "2"
}
children {
node_id: 44
local_name: "3"
}
children {
node_id: 45
local_name: "4"
}
children {
node_id: 46
local_name: "5"
}
children {
node_id: 47
local_name: "6"
}
children {
node_id: 48
local_name: "7"
}
children {
node_id: 49
local_name: "8"
}
children {
node_id: 50
local_name: "9"
}
children {
node_id: 51
local_name: "10"
}
children {
node_id: 52
local_name: "11"
}
children {
node_id: 26
local_name: "12"
}
children {
node_id: 57
local_name: "13"
}
children {
node_id: 58
local_name: "14"
}
children {
node_id: 59
local_name: "15"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 135
local_name: "layer_metrics"
}
children {
node_id: 70
local_name: "variables"
}
children {
node_id: 136
local_name: "layer_regularization_losses"
}
children {
node_id: 137
local_name: "metrics"
}
children {
node_id: 138
local_name: "layers"
}
children {
node_id: 71
local_name: "regularization_losses"
}
children {
node_id: 139
local_name: "non_trainable_variables"
}
children {
node_id: 72
local_name: "trainable_variables"
}
children {
node_id: 224
local_name: "__call__"
}
children {
node_id: 225
local_name: "call_and_return_all_conditional_losses"
}
children {
node_id: 225
local_name: "call_and_return_conditional_losses"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 140
local_name: "layer_metrics"
}
children {
node_id: 74
local_name: "variables"
}
children {
node_id: 141
local_name: "layer_regularization_losses"
}
children {
node_id: 142
local_name: "metrics"
}
children {
node_id: 143
local_name: "layers"
}
children {
node_id: 75
local_name: "regularization_losses"
}
children {
node_id: 144
local_name: "non_trainable_variables"
}
children {
node_id: 76
local_name: "trainable_variables"
}
children {
node_id: 226
local_name: "__call__"
}
children {
node_id: 227
local_name: "call_and_return_all_conditional_losses"
}
children {
node_id: 227
local_name: "call_and_return_conditional_losses"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 145
local_name: "layer_metrics"
}
children {
node_id: 78
local_name: "variables"
}
children {
node_id: 146
local_name: "layer_regularization_losses"
}
children {
node_id: 147
local_name: "metrics"
}
children {
node_id: 148
local_name: "layers"
}
children {
node_id: 79
local_name: "regularization_losses"
}
children {
node_id: 149
local_name: "non_trainable_variables"
}
children {
node_id: 80
local_name: "trainable_variables"
}
children {
node_id: 228
local_name: "__call__"
}
children {
node_id: 229
local_name: "call_and_return_all_conditional_losses"
}
children {
node_id: 229
local_name: "call_and_return_conditional_losses"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 150
local_name: "layer_metrics"
}
children {
node_id: 82
local_name: "variables"
}
children {
node_id: 151
local_name: "layer_regularization_losses"
}
children {
node_id: 152
local_name: "metrics"
}
children {
node_id: 153
local_name: "layers"
}
children {
node_id: 83
local_name: "regularization_losses"
}
children {
node_id: 154
local_name: "non_trainable_variables"
}
children {
node_id: 84
local_name: "trainable_variables"
}
children {
node_id: 230
local_name: "__call__"
}
children {
node_id: 231
local_name: "call_and_return_all_conditional_losses"
}
children {
node_id: 231
local_name: "call_and_return_conditional_losses"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 155
local_name: "layer_metrics"
}
children {
node_id: 86
local_name: "variables"
}
children {
node_id: 156
local_name: "layer_regularization_losses"
}
children {
node_id: 157
local_name: "metrics"
}
children {
node_id: 158
local_name: "layers"
}
children {
node_id: 87
local_name: "regularization_losses"
}
children {
node_id: 159
local_name: "non_trainable_variables"
}
children {
node_id: 88
local_name: "trainable_variables"
}
children {
node_id: 232
local_name: "__call__"
}
children {
node_id: 233
local_name: "call_and_return_all_conditional_losses"
}
children {
node_id: 233
local_name: "call_and_return_conditional_losses"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 160
local_name: "layer_metrics"
}
children {
node_id: 90
local_name: "variables"
}
children {
node_id: 161
local_name: "layer_regularization_losses"
}
children {
node_id: 162
local_name: "metrics"
}
children {
node_id: 163
local_name: "layers"
}
children {
node_id: 91
local_name: "regularization_losses"
}
children {
node_id: 164
local_name: "non_trainable_variables"
}
children {
node_id: 92
local_name: "trainable_variables"
}
children {
node_id: 234
local_name: "__call__"
}
children {
node_id: 235
local_name: "call_and_return_all_conditional_losses"
}
children {
node_id: 235
local_name: "call_and_return_conditional_losses"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 165
local_name: "layer_metrics"
}
children {
node_id: 94
local_name: "variables"
}
children {
node_id: 166
local_name: "layer_regularization_losses"
}
children {
node_id: 167
local_name: "metrics"
}
children {
node_id: 168
local_name: "layers"
}
children {
node_id: 95
local_name: "regularization_losses"
}
children {
node_id: 169
local_name: "non_trainable_variables"
}
children {
node_id: 96
local_name: "trainable_variables"
}
children {
node_id: 236
local_name: "__call__"
}
children {
node_id: 237
local_name: "call_and_return_all_conditional_losses"
}
children {
node_id: 237
local_name: "call_and_return_conditional_losses"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 170
local_name: "layer_metrics"
}
children {
node_id: 98
local_name: "variables"
}
children {
node_id: 171
local_name: "layer_regularization_losses"
}
children {
node_id: 172
local_name: "metrics"
}
children {
node_id: 173
local_name: "layers"
}
children {
node_id: 99
local_name: "regularization_losses"
}
children {
node_id: 174
local_name: "non_trainable_variables"
}
children {
node_id: 100
local_name: "trainable_variables"
}
children {
node_id: 238
local_name: "__call__"
}
children {
node_id: 239
local_name: "call_and_return_all_conditional_losses"
}
children {
node_id: 239
local_name: "call_and_return_conditional_losses"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 175
local_name: "layer_metrics"
}
children {
node_id: 102
local_name: "variables"
}
children {
node_id: 176
local_name: "layer_regularization_losses"
}
children {
node_id: 177
local_name: "metrics"
}
children {
node_id: 178
local_name: "layers"
}
children {
node_id: 103
local_name: "regularization_losses"
}
children {
node_id: 179
local_name: "non_trainable_variables"
}
children {
node_id: 104
local_name: "trainable_variables"
}
children {
node_id: 240
local_name: "__call__"
}
children {
node_id: 241
local_name: "call_and_return_all_conditional_losses"
}
children {
node_id: 241
local_name: "call_and_return_conditional_losses"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 180
local_name: "layer_metrics"
}
children {
node_id: 106
local_name: "variables"
}
children {
node_id: 181
local_name: "layer_regularization_losses"
}
children {
node_id: 182
local_name: "metrics"
}
children {
node_id: 183
local_name: "layers"
}
children {
node_id: 107
local_name: "regularization_losses"
}
children {
node_id: 184
local_name: "non_trainable_variables"
}
children {
node_id: 108
local_name: "trainable_variables"
}
children {
node_id: 242
local_name: "__call__"
}
children {
node_id: 243
local_name: "call_and_return_all_conditional_losses"
}
children {
node_id: 243
local_name: "call_and_return_conditional_losses"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 185
local_name: "layer_metrics"
}
children {
node_id: 110
local_name: "variables"
}
children {
node_id: 186
local_name: "layer_regularization_losses"
}
children {
node_id: 187
local_name: "metrics"
}
children {
node_id: 188
local_name: "layers"
}
children {
node_id: 111
local_name: "regularization_losses"
}
children {
node_id: 189
local_name: "non_trainable_variables"
}
children {
node_id: 112
local_name: "trainable_variables"
}
children {
node_id: 244
local_name: "__call__"
}
children {
node_id: 245
local_name: "call_and_return_all_conditional_losses"
}
children {
node_id: 245
local_name: "call_and_return_conditional_losses"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 190
local_name: "layer_metrics"
}
children {
node_id: 114
local_name: "variables"
}
children {
node_id: 191
local_name: "layer_regularization_losses"
}
children {
node_id: 192
local_name: "metrics"
}
children {
node_id: 193
local_name: "layers"
}
children {
node_id: 115
local_name: "regularization_losses"
}
children {
node_id: 194
local_name: "non_trainable_variables"
}
children {
node_id: 116
local_name: "trainable_variables"
}
children {
node_id: 246
local_name: "__call__"
}
children {
node_id: 247
local_name: "call_and_return_all_conditional_losses"
}
children {
node_id: 247
local_name: "call_and_return_conditional_losses"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 195
local_name: "layer_metrics"
}
children {
node_id: 123
local_name: "variables"
}
children {
node_id: 196
local_name: "layer_regularization_losses"
}
children {
node_id: 197
local_name: "metrics"
}
children {
node_id: 198
local_name: "layers"
}
children {
node_id: 124
local_name: "regularization_losses"
}
children {
node_id: 199
local_name: "non_trainable_variables"
}
children {
node_id: 125
local_name: "trainable_variables"
}
children {
node_id: 248
local_name: "__call__"
}
children {
node_id: 249
local_name: "call_and_return_all_conditional_losses"
}
children {
node_id: 249
local_name: "call_and_return_conditional_losses"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 10
local_name: "0"
}
children {
node_id: 11
local_name: "1"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 10
local_name: "0"
}
children {
node_id: 11
local_name: "1"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 200
local_name: "layer_metrics"
}
children {
node_id: 127
local_name: "variables"
}
children {
node_id: 201
local_name: "layer_regularization_losses"
}
children {
node_id: 202
local_name: "metrics"
}
children {
node_id: 203
local_name: "layers"
}
children {
node_id: 128
local_name: "regularization_losses"
}
children {
node_id: 204
local_name: "non_trainable_variables"
}
children {
node_id: 129
local_name: "trainable_variables"
}
children {
node_id: 250
local_name: "__call__"
}
children {
node_id: 251
local_name: "call_and_return_all_conditional_losses"
}
children {
node_id: 251
local_name: "call_and_return_conditional_losses"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 12
local_name: "0"
}
children {
node_id: 13
local_name: "1"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 12
local_name: "0"
}
children {
node_id: 13
local_name: "1"
}
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
children {
node_id: 205
local_name: "layer_metrics"
}
children {
node_id: 131
local_name: "variables"
}
children {
node_id: 206
local_name: "layer_regularization_losses"
}
children {
node_id: 207
local_name: "metrics"
}
children {
node_id: 208
local_name: "layers"
}
children {
node_id: 132
local_name: "regularization_losses"
}
children {
node_id: 209
local_name: "non_trainable_variables"
}
children {
node_id: 133
local_name: "trainable_variables"
}
children {
node_id: 252
local_name: "__call__"
}
children {
node_id: 253
local_name: "call_and_return_all_conditional_losses"
}
children {
node_id: 253
local_name: "call_and_return_conditional_losses"
}
user_object {
identifier: "_generic_user_object"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_dict_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
user_object {
identifier: "trackable_list_wrapper"
version {
producer: 1
min_consumer: 1
}
}
}
nodes {
function {
concrete_functions: "__inference_polymorphic_action_fn_4619080"
concrete_functions: "__inference_polymorphic_action_fn_946"
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "time_step"
}
values {
string_value: "policy_state"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
tuple_value {
values {
tuple_value {
}
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
none_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
concrete_functions: "__inference_function_722"
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
none_value {
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
input_signature {
none_value {
}
}
}
}
}
nodes {
bare_concrete_function {
concrete_function_name: "__inference_<lambda>_728"
}
}
nodes {
bare_concrete_function {
concrete_function_name: "__inference_signature_wrapper_4619026"
argument_keywords: "callee_basic_block_count"
argument_keywords: "callee_conditionally_executed_blocks"
argument_keywords: "callee_users"
argument_keywords: "caller_basic_block_count"
argument_keywords: "caller_conditionally_executed_blocks"
argument_keywords: "caller_users"
argument_keywords: "callsite_height"
argument_keywords: "cost_estimate"
argument_keywords: "discount"
argument_keywords: "edge_count"
argument_keywords: "inlining_default"
argument_keywords: "node_count"
argument_keywords: "nr_ctant_params"
argument_keywords: "reward"
argument_keywords: "step_type"
}
}
nodes {
bare_concrete_function {
concrete_function_name: "__inference_signature_wrapper_4619033"
}
}
nodes {
bare_concrete_function {
concrete_function_name: "__inference_signature_wrapper_4619048"
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "observation"
}
values {
string_value: "step_type"
}
values {
string_value: "network_state"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
tuple_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "observation"
}
values {
string_value: "step_type"
}
values {
string_value: "network_state"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
tuple_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "observation"
}
values {
string_value: "step_type"
}
values {
string_value: "network_state"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
tuple_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "observation"
}
values {
string_value: "step_type"
}
values {
string_value: "network_state"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
tuple_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
none_value {
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
none_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
none_value {
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
none_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
none_value {
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
none_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
none_value {
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
none_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
values {
string_value: "mask"
}
values {
string_value: "training"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
list_value {
values {
none_value {
}
}
values {
bool_value: false
}
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
dict_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
none_value {
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
none_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
none_value {
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
none_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
none_value {
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
none_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
none_value {
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
none_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
none_value {
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
none_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
nodes {
function {
function_spec {
fullargspec {
named_tuple_value {
name: "FullArgSpec"
values {
key: "args"
value {
list_value {
values {
string_value: "self"
}
values {
string_value: "inputs"
}
}
}
}
values {
key: "varargs"
value {
none_value {
}
}
}
values {
key: "varkw"
value {
none_value {
}
}
}
values {
key: "defaults"
value {
none_value {
}
}
}
values {
key: "kwonlyargs"
value {
list_value {
}
}
}
values {
key: "kwonlydefaults"
value {
none_value {
}
}
}
values {
key: "annotations"
value {
dict_value {
}
}
}
}
}
is_method: true
input_signature {
none_value {
}
}
}
}
}
concrete_functions {
key: "__inference_<lambda>_728"
value {
bound_inputs: 4
canonicalized_input_signature {
tuple_value {
values {
tuple_value {
}
}
values {
dict_value {
}
}
}
}
output_signature {
tensor_spec_value {
shape {
}
dtype: DT_INT64
}
}
}
}
concrete_functions {
key: "__inference_function_722"
value {
canonicalized_input_signature {
tuple_value {
values {
tuple_value {
}
}
values {
dict_value {
}
}
}
}
output_signature {
tuple_value {
}
}
}
}
concrete_functions {
key: "__inference_polymorphic_action_fn_4619080"
value {
bound_inputs: 10
bound_inputs: 11
bound_inputs: 12
bound_inputs: 13
bound_inputs: 14
bound_inputs: 15
canonicalized_input_signature {
tuple_value {
values {
tuple_value {
values {
named_tuple_value {
name: "TimeStep"
values {
key: "step_type"
value {
tensor_spec_value {
name: "time_step/step_type"
shape {
dim {
size: 1
}
}
dtype: DT_INT32
}
}
}
values {
key: "reward"
value {
tensor_spec_value {
name: "time_step/reward"
shape {
dim {
size: 1
}
}
dtype: DT_FLOAT
}
}
}
values {
key: "discount"
value {
tensor_spec_value {
name: "time_step/discount"
shape {
dim {
size: 1
}
}
dtype: DT_FLOAT
}
}
}
values {
key: "observation"
value {
dict_value {
fields {
key: "callee_basic_block_count"
value {
tensor_spec_value {
name: "time_step/observation/callee_basic_block_count"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "callee_conditionally_executed_blocks"
value {
tensor_spec_value {
name: "time_step/observation/callee_conditionally_executed_blocks"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "callee_users"
value {
tensor_spec_value {
name: "time_step/observation/callee_users"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "caller_basic_block_count"
value {
tensor_spec_value {
name: "time_step/observation/caller_basic_block_count"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "caller_conditionally_executed_blocks"
value {
tensor_spec_value {
name: "time_step/observation/caller_conditionally_executed_blocks"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "caller_users"
value {
tensor_spec_value {
name: "time_step/observation/caller_users"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "callsite_height"
value {
tensor_spec_value {
name: "time_step/observation/callsite_height"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "cost_estimate"
value {
tensor_spec_value {
name: "time_step/observation/cost_estimate"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "edge_count"
value {
tensor_spec_value {
name: "time_step/observation/edge_count"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "inlining_default"
value {
tensor_spec_value {
name: "time_step/observation/inlining_default"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "node_count"
value {
tensor_spec_value {
name: "time_step/observation/node_count"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "nr_ctant_params"
value {
tensor_spec_value {
name: "time_step/observation/nr_ctant_params"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
}
}
}
}
}
values {
tuple_value {
}
}
}
}
values {
dict_value {
}
}
}
}
output_signature {
named_tuple_value {
name: "PolicyStep"
values {
key: "action"
value {
tensor_spec_value {
name: "action"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
values {
key: "state"
value {
tuple_value {
}
}
}
values {
key: "info"
value {
tuple_value {
}
}
}
}
}
}
}
concrete_functions {
key: "__inference_polymorphic_action_fn_946"
value {
bound_inputs: 10
bound_inputs: 11
bound_inputs: 12
bound_inputs: 13
bound_inputs: 14
bound_inputs: 15
canonicalized_input_signature {
tuple_value {
values {
tuple_value {
values {
named_tuple_value {
name: "TimeStep"
values {
key: "step_type"
value {
tensor_spec_value {
name: "step_type"
shape {
dim {
size: 1
}
}
dtype: DT_INT32
}
}
}
values {
key: "reward"
value {
tensor_spec_value {
name: "reward"
shape {
dim {
size: 1
}
}
dtype: DT_FLOAT
}
}
}
values {
key: "discount"
value {
tensor_spec_value {
name: "discount"
shape {
dim {
size: 1
}
}
dtype: DT_FLOAT
}
}
}
values {
key: "observation"
value {
dict_value {
fields {
key: "callee_basic_block_count"
value {
tensor_spec_value {
name: "callee_basic_block_count"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "callee_conditionally_executed_blocks"
value {
tensor_spec_value {
name: "callee_conditionally_executed_blocks"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "callee_users"
value {
tensor_spec_value {
name: "callee_users"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "caller_basic_block_count"
value {
tensor_spec_value {
name: "caller_basic_block_count"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "caller_conditionally_executed_blocks"
value {
tensor_spec_value {
name: "caller_conditionally_executed_blocks"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "caller_users"
value {
tensor_spec_value {
name: "caller_users"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "callsite_height"
value {
tensor_spec_value {
name: "callsite_height"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "cost_estimate"
value {
tensor_spec_value {
name: "cost_estimate"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "edge_count"
value {
tensor_spec_value {
name: "edge_count"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "inlining_default"
value {
tensor_spec_value {
name: "inlining_default"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "node_count"
value {
tensor_spec_value {
name: "node_count"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "nr_ctant_params"
value {
tensor_spec_value {
name: "nr_ctant_params"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
}
}
}
}
}
values {
tuple_value {
}
}
}
}
values {
dict_value {
}
}
}
}
output_signature {
named_tuple_value {
name: "PolicyStep"
values {
key: "action"
value {
tensor_spec_value {
name: "action"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
values {
key: "state"
value {
tuple_value {
}
}
}
values {
key: "info"
value {
tuple_value {
}
}
}
}
}
}
}
concrete_functions {
key: "__inference_signature_wrapper_4619026"
value {
bound_inputs: 10
bound_inputs: 11
bound_inputs: 12
bound_inputs: 13
bound_inputs: 14
bound_inputs: 15
canonicalized_input_signature {
tuple_value {
values {
tuple_value {
}
}
values {
dict_value {
fields {
key: "callee_basic_block_count"
value {
tensor_spec_value {
name: "callee_basic_block_count"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "callee_conditionally_executed_blocks"
value {
tensor_spec_value {
name: "callee_conditionally_executed_blocks"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "callee_users"
value {
tensor_spec_value {
name: "callee_users"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "caller_basic_block_count"
value {
tensor_spec_value {
name: "caller_basic_block_count"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "caller_conditionally_executed_blocks"
value {
tensor_spec_value {
name: "caller_conditionally_executed_blocks"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "caller_users"
value {
tensor_spec_value {
name: "caller_users"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "callsite_height"
value {
tensor_spec_value {
name: "callsite_height"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "cost_estimate"
value {
tensor_spec_value {
name: "cost_estimate"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "discount"
value {
tensor_spec_value {
name: "discount"
shape {
dim {
size: 1
}
}
dtype: DT_FLOAT
}
}
}
fields {
key: "edge_count"
value {
tensor_spec_value {
name: "edge_count"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "inlining_default"
value {
tensor_spec_value {
name: "inlining_default"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "node_count"
value {
tensor_spec_value {
name: "node_count"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "nr_ctant_params"
value {
tensor_spec_value {
name: "nr_ctant_params"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
fields {
key: "reward"
value {
tensor_spec_value {
name: "reward"
shape {
dim {
size: 1
}
}
dtype: DT_FLOAT
}
}
}
fields {
key: "step_type"
value {
tensor_spec_value {
name: "step_type"
shape {
dim {
size: 1
}
}
dtype: DT_INT32
}
}
}
}
}
}
}
output_signature {
dict_value {
fields {
key: "inlining_decision"
value {
tensor_spec_value {
name: "inlining_decision"
shape {
dim {
size: 1
}
}
dtype: DT_INT64
}
}
}
}
}
}
}
concrete_functions {
key: "__inference_signature_wrapper_4619033"
value {
canonicalized_input_signature {
tuple_value {
values {
tuple_value {
}
}
values {
dict_value {
}
}
}
}
output_signature {
dict_value {
}
}
}
}
concrete_functions {
key: "__inference_signature_wrapper_4619048"
value {
bound_inputs: 4
canonicalized_input_signature {
tuple_value {
values {
tuple_value {
}
}
values {
dict_value {
}
}
}
}
output_signature {
dict_value {
fields {
key: "int64"
value {
tensor_spec_value {
name: "int64"
shape {
}
dtype: DT_INT64
}
}
}
}
}
}
}
}
}
Reference in New Issue View Git Blame Copy Permalink