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[lit] Move increase_process_limit to ParallelRun
Increasing the process limit only makes sense when we use multiple processes. llvm-svn: 375474
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@ -182,32 +182,7 @@ def update_incremental_cache(test):
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fname = test.getFilePath()
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os.utime(fname, None)
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def increase_process_limit(litConfig, opts):
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# Because some tests use threads internally, and at least on Linux each
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# of these threads counts toward the current process limit, try to
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# raise the (soft) process limit so that tests don't fail due to
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# resource exhaustion.
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try:
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cpus = lit.util.detectCPUs()
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desired_limit = opts.numWorkers * cpus * 2 # the 2 is a safety factor
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# Import the resource module here inside this try block because it
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# will likely fail on Windows.
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import resource
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max_procs_soft, max_procs_hard = resource.getrlimit(resource.RLIMIT_NPROC)
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desired_limit = min(desired_limit, max_procs_hard)
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if max_procs_soft < desired_limit:
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resource.setrlimit(resource.RLIMIT_NPROC, (desired_limit, max_procs_hard))
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litConfig.note('raised the process limit from %d to %d' % \
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(max_procs_soft, desired_limit))
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except:
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pass
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def run_tests(tests, litConfig, opts, numTotalTests):
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increase_process_limit(litConfig, opts)
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display = lit.display.create_display(opts, len(tests), numTotalTests,
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opts.numWorkers)
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def progress_callback(test):
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@ -109,6 +109,8 @@ class ParallelRun(Run):
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multiprocessing.BoundedSemaphore(v) for k, v in
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self.lit_config.parallelism_groups.items()}
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self._increase_process_limit()
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# Start a process pool. Copy over the data shared between all test runs.
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# FIXME: Find a way to capture the worker process stderr. If the user
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# interrupts the workers before we make it into our task callback, they
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@ -144,3 +146,25 @@ class ParallelRun(Run):
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if self.hit_max_failures:
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pool.terminate()
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break
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# Some tests use threads internally, and at least on Linux each of these
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# threads counts toward the current process limit. Try to raise the (soft)
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# process limit so that tests don't fail due to resource exhaustion.
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def _increase_process_limit(self):
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ncpus = lit.util.detectCPUs()
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desired_limit = self.workers * ncpus * 2 # the 2 is a safety factor
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# Importing the resource module will likely fail on Windows.
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try:
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import resource
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NPROC = resource.RLIMIT_NPROC
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soft_limit, hard_limit = resource.getrlimit(NPROC)
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desired_limit = min(desired_limit, hard_limit)
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if soft_limit < desired_limit:
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resource.setrlimit(NPROC, (desired_limit, hard_limit))
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self.lit_config.note('Raised process limit from %d to %d' % \
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(soft_limit, desired_limit))
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except Exception as ex:
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self.lit_config.warning('Failed to raise process limit: %s' % ex)
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