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Many quoted code blocks were not in sync with the actual toy.cpp files. Improve tutorial text slightly in several places. Added some step descriptions crucial to avoid crashes (like InitializeNativeTarget* calls). Solve/workaround problems with Windows (JIT'ed method not found, using custom and standard library functions from host process). Patch by: Moritz Kroll <moritz.kroll@gmx.de> Differential Revision: https://reviews.llvm.org/D29864 llvm-svn: 294870
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465 lines
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======================================
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Kaleidoscope: Adding Debug Information
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======================================
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.. contents::
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:local:
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Chapter 9 Introduction
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======================
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Welcome to Chapter 9 of the "`Implementing a language with
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LLVM <index.html>`_" tutorial. In chapters 1 through 8, we've built a
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decent little programming language with functions and variables.
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What happens if something goes wrong though, how do you debug your
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program?
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Source level debugging uses formatted data that helps a debugger
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translate from binary and the state of the machine back to the
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source that the programmer wrote. In LLVM we generally use a format
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called `DWARF <http://dwarfstd.org>`_. DWARF is a compact encoding
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that represents types, source locations, and variable locations.
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The short summary of this chapter is that we'll go through the
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various things you have to add to a programming language to
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support debug info, and how you translate that into DWARF.
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Caveat: For now we can't debug via the JIT, so we'll need to compile
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our program down to something small and standalone. As part of this
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we'll make a few modifications to the running of the language and
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how programs are compiled. This means that we'll have a source file
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with a simple program written in Kaleidoscope rather than the
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interactive JIT. It does involve a limitation that we can only
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have one "top level" command at a time to reduce the number of
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changes necessary.
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Here's the sample program we'll be compiling:
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.. code-block:: python
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def fib(x)
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if x < 3 then
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1
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else
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fib(x-1)+fib(x-2);
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fib(10)
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Why is this a hard problem?
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===========================
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Debug information is a hard problem for a few different reasons - mostly
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centered around optimized code. First, optimization makes keeping source
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locations more difficult. In LLVM IR we keep the original source location
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for each IR level instruction on the instruction. Optimization passes
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should keep the source locations for newly created instructions, but merged
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instructions only get to keep a single location - this can cause jumping
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around when stepping through optimized programs. Secondly, optimization
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can move variables in ways that are either optimized out, shared in memory
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with other variables, or difficult to track. For the purposes of this
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tutorial we're going to avoid optimization (as you'll see with one of the
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next sets of patches).
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Ahead-of-Time Compilation Mode
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==============================
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To highlight only the aspects of adding debug information to a source
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language without needing to worry about the complexities of JIT debugging
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we're going to make a few changes to Kaleidoscope to support compiling
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the IR emitted by the front end into a simple standalone program that
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you can execute, debug, and see results.
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First we make our anonymous function that contains our top level
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statement be our "main":
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.. code-block:: udiff
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- auto Proto = llvm::make_unique<PrototypeAST>("", std::vector<std::string>());
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+ auto Proto = llvm::make_unique<PrototypeAST>("main", std::vector<std::string>());
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just with the simple change of giving it a name.
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Then we're going to remove the command line code wherever it exists:
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.. code-block:: udiff
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@@ -1129,7 +1129,6 @@ static void HandleTopLevelExpression() {
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/// top ::= definition | external | expression | ';'
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static void MainLoop() {
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while (1) {
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- fprintf(stderr, "ready> ");
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switch (CurTok) {
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case tok_eof:
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return;
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@@ -1184,7 +1183,6 @@ int main() {
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BinopPrecedence['*'] = 40; // highest.
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// Prime the first token.
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- fprintf(stderr, "ready> ");
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getNextToken();
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Lastly we're going to disable all of the optimization passes and the JIT so
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that the only thing that happens after we're done parsing and generating
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code is that the LLVM IR goes to standard error:
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.. code-block:: udiff
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@@ -1108,17 +1108,8 @@ static void HandleExtern() {
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static void HandleTopLevelExpression() {
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// Evaluate a top-level expression into an anonymous function.
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if (auto FnAST = ParseTopLevelExpr()) {
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- if (auto *FnIR = FnAST->codegen()) {
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- // We're just doing this to make sure it executes.
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- TheExecutionEngine->finalizeObject();
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- // JIT the function, returning a function pointer.
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- void *FPtr = TheExecutionEngine->getPointerToFunction(FnIR);
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-
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- // Cast it to the right type (takes no arguments, returns a double) so we
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- // can call it as a native function.
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- double (*FP)() = (double (*)())(intptr_t)FPtr;
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- // Ignore the return value for this.
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- (void)FP;
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+ if (!F->codegen()) {
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+ fprintf(stderr, "Error generating code for top level expr");
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}
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} else {
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// Skip token for error recovery.
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@@ -1439,11 +1459,11 @@ int main() {
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// target lays out data structures.
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TheModule->setDataLayout(TheExecutionEngine->getDataLayout());
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OurFPM.add(new DataLayoutPass());
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+#if 0
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OurFPM.add(createBasicAliasAnalysisPass());
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// Promote allocas to registers.
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OurFPM.add(createPromoteMemoryToRegisterPass());
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@@ -1218,7 +1210,7 @@ int main() {
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OurFPM.add(createGVNPass());
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// Simplify the control flow graph (deleting unreachable blocks, etc).
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OurFPM.add(createCFGSimplificationPass());
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-
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+ #endif
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OurFPM.doInitialization();
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// Set the global so the code gen can use this.
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This relatively small set of changes get us to the point that we can compile
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our piece of Kaleidoscope language down to an executable program via this
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command line:
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.. code-block:: bash
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Kaleidoscope-Ch9 < fib.ks | & clang -x ir -
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which gives an a.out/a.exe in the current working directory.
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Compile Unit
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============
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The top level container for a section of code in DWARF is a compile unit.
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This contains the type and function data for an individual translation unit
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(read: one file of source code). So the first thing we need to do is
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construct one for our fib.ks file.
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DWARF Emission Setup
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====================
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Similar to the ``IRBuilder`` class we have a
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`DIBuilder <http://llvm.org/doxygen/classllvm_1_1DIBuilder.html>`_ class
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that helps in constructing debug metadata for an LLVM IR file. It
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corresponds 1:1 similarly to ``IRBuilder`` and LLVM IR, but with nicer names.
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Using it does require that you be more familiar with DWARF terminology than
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you needed to be with ``IRBuilder`` and ``Instruction`` names, but if you
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read through the general documentation on the
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`Metadata Format <http://llvm.org/docs/SourceLevelDebugging.html>`_ it
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should be a little more clear. We'll be using this class to construct all
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of our IR level descriptions. Construction for it takes a module so we
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need to construct it shortly after we construct our module. We've left it
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as a global static variable to make it a bit easier to use.
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Next we're going to create a small container to cache some of our frequent
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data. The first will be our compile unit, but we'll also write a bit of
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code for our one type since we won't have to worry about multiple typed
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expressions:
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.. code-block:: c++
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static DIBuilder *DBuilder;
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struct DebugInfo {
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DICompileUnit *TheCU;
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DIType *DblTy;
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DIType *getDoubleTy();
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} KSDbgInfo;
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DIType *DebugInfo::getDoubleTy() {
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if (DblTy)
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return DblTy;
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DblTy = DBuilder->createBasicType("double", 64, 64, dwarf::DW_ATE_float);
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return DblTy;
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}
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And then later on in ``main`` when we're constructing our module:
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.. code-block:: c++
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DBuilder = new DIBuilder(*TheModule);
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KSDbgInfo.TheCU = DBuilder->createCompileUnit(
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dwarf::DW_LANG_C, "fib.ks", ".", "Kaleidoscope Compiler", 0, "", 0);
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There are a couple of things to note here. First, while we're producing a
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compile unit for a language called Kaleidoscope we used the language
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constant for C. This is because a debugger wouldn't necessarily understand
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the calling conventions or default ABI for a language it doesn't recognize
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and we follow the C ABI in our LLVM code generation so it's the closest
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thing to accurate. This ensures we can actually call functions from the
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debugger and have them execute. Secondly, you'll see the "fib.ks" in the
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call to ``createCompileUnit``. This is a default hard coded value since
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we're using shell redirection to put our source into the Kaleidoscope
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compiler. In a usual front end you'd have an input file name and it would
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go there.
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One last thing as part of emitting debug information via DIBuilder is that
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we need to "finalize" the debug information. The reasons are part of the
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underlying API for DIBuilder, but make sure you do this near the end of
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main:
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.. code-block:: c++
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DBuilder->finalize();
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before you dump out the module.
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Functions
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=========
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Now that we have our ``Compile Unit`` and our source locations, we can add
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function definitions to the debug info. So in ``PrototypeAST::codegen()`` we
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add a few lines of code to describe a context for our subprogram, in this
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case the "File", and the actual definition of the function itself.
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So the context:
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.. code-block:: c++
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DIFile *Unit = DBuilder->createFile(KSDbgInfo.TheCU.getFilename(),
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KSDbgInfo.TheCU.getDirectory());
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giving us an DIFile and asking the ``Compile Unit`` we created above for the
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directory and filename where we are currently. Then, for now, we use some
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source locations of 0 (since our AST doesn't currently have source location
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information) and construct our function definition:
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.. code-block:: c++
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DIScope *FContext = Unit;
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unsigned LineNo = 0;
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unsigned ScopeLine = 0;
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DISubprogram *SP = DBuilder->createFunction(
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FContext, P.getName(), StringRef(), Unit, LineNo,
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CreateFunctionType(TheFunction->arg_size(), Unit),
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false /* internal linkage */, true /* definition */, ScopeLine,
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DINode::FlagPrototyped, false);
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TheFunction->setSubprogram(SP);
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and we now have an DISubprogram that contains a reference to all of our
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metadata for the function.
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Source Locations
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================
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The most important thing for debug information is accurate source location -
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this makes it possible to map your source code back. We have a problem though,
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Kaleidoscope really doesn't have any source location information in the lexer
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or parser so we'll need to add it.
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.. code-block:: c++
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struct SourceLocation {
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int Line;
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int Col;
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};
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static SourceLocation CurLoc;
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static SourceLocation LexLoc = {1, 0};
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static int advance() {
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int LastChar = getchar();
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if (LastChar == '\n' || LastChar == '\r') {
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LexLoc.Line++;
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LexLoc.Col = 0;
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} else
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LexLoc.Col++;
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return LastChar;
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}
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In this set of code we've added some functionality on how to keep track of the
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line and column of the "source file". As we lex every token we set our current
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current "lexical location" to the assorted line and column for the beginning
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of the token. We do this by overriding all of the previous calls to
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``getchar()`` with our new ``advance()`` that keeps track of the information
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and then we have added to all of our AST classes a source location:
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.. code-block:: c++
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class ExprAST {
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SourceLocation Loc;
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public:
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ExprAST(SourceLocation Loc = CurLoc) : Loc(Loc) {}
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virtual ~ExprAST() {}
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virtual Value* codegen() = 0;
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int getLine() const { return Loc.Line; }
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int getCol() const { return Loc.Col; }
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virtual raw_ostream &dump(raw_ostream &out, int ind) {
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return out << ':' << getLine() << ':' << getCol() << '\n';
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}
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that we pass down through when we create a new expression:
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.. code-block:: c++
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LHS = llvm::make_unique<BinaryExprAST>(BinLoc, BinOp, std::move(LHS),
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std::move(RHS));
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giving us locations for each of our expressions and variables.
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To make sure that every instruction gets proper source location information,
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we have to tell ``Builder`` whenever we're at a new source location.
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We use a small helper function for this:
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.. code-block:: c++
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void DebugInfo::emitLocation(ExprAST *AST) {
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DIScope *Scope;
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if (LexicalBlocks.empty())
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Scope = TheCU;
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else
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Scope = LexicalBlocks.back();
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Builder.SetCurrentDebugLocation(
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DebugLoc::get(AST->getLine(), AST->getCol(), Scope));
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}
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This both tells the main ``IRBuilder`` where we are, but also what scope
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we're in. The scope can either be on compile-unit level or be the nearest
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enclosing lexical block like the current function.
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To represent this we create a stack of scopes:
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.. code-block:: c++
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std::vector<DIScope *> LexicalBlocks;
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and push the scope (function) to the top of the stack when we start
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generating the code for each function:
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.. code-block:: c++
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KSDbgInfo.LexicalBlocks.push_back(SP);
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Also, we may not forget to pop the scope back off of the scope stack at the
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end of the code generation for the function:
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.. code-block:: c++
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// Pop off the lexical block for the function since we added it
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// unconditionally.
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KSDbgInfo.LexicalBlocks.pop_back();
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Then we make sure to emit the location every time we start to generate code
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for a new AST object:
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.. code-block:: c++
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KSDbgInfo.emitLocation(this);
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Variables
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=========
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Now that we have functions, we need to be able to print out the variables
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we have in scope. Let's get our function arguments set up so we can get
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decent backtraces and see how our functions are being called. It isn't
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a lot of code, and we generally handle it when we're creating the
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argument allocas in ``FunctionAST::codegen``.
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.. code-block:: c++
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// Record the function arguments in the NamedValues map.
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NamedValues.clear();
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unsigned ArgIdx = 0;
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for (auto &Arg : TheFunction->args()) {
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// Create an alloca for this variable.
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AllocaInst *Alloca = CreateEntryBlockAlloca(TheFunction, Arg.getName());
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// Create a debug descriptor for the variable.
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DILocalVariable *D = DBuilder->createParameterVariable(
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SP, Arg.getName(), ++ArgIdx, Unit, LineNo, KSDbgInfo.getDoubleTy(),
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true);
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DBuilder->insertDeclare(Alloca, D, DBuilder->createExpression(),
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DebugLoc::get(LineNo, 0, SP),
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Builder.GetInsertBlock());
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// Store the initial value into the alloca.
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Builder.CreateStore(&Arg, Alloca);
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// Add arguments to variable symbol table.
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NamedValues[Arg.getName()] = Alloca;
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}
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Here we're first creating the variable, giving it the scope (``SP``),
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the name, source location, type, and since it's an argument, the argument
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index. Next, we create an ``lvm.dbg.declare`` call to indicate at the IR
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level that we've got a variable in an alloca (and it gives a starting
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location for the variable), and setting a source location for the
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beginning of the scope on the declare.
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One interesting thing to note at this point is that various debuggers have
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assumptions based on how code and debug information was generated for them
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in the past. In this case we need to do a little bit of a hack to avoid
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generating line information for the function prologue so that the debugger
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knows to skip over those instructions when setting a breakpoint. So in
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``FunctionAST::CodeGen`` we add some more lines:
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.. code-block:: c++
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// Unset the location for the prologue emission (leading instructions with no
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// location in a function are considered part of the prologue and the debugger
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// will run past them when breaking on a function)
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KSDbgInfo.emitLocation(nullptr);
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and then emit a new location when we actually start generating code for the
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body of the function:
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.. code-block:: c++
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KSDbgInfo.emitLocation(Body.get());
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With this we have enough debug information to set breakpoints in functions,
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print out argument variables, and call functions. Not too bad for just a
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few simple lines of code!
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Full Code Listing
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=================
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Here is the complete code listing for our running example, enhanced with
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debug information. To build this example, use:
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.. code-block:: bash
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# Compile
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clang++ -g toy.cpp `llvm-config --cxxflags --ldflags --system-libs --libs core mcjit native` -O3 -o toy
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# Run
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./toy
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Here is the code:
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.. literalinclude:: ../../examples/Kaleidoscope/Chapter9/toy.cpp
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:language: c++
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`Next: Conclusion and other useful LLVM tidbits <LangImpl10.html>`_
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