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06d50b5eb0
pytorch/test/run_test.py
Pritam Damania 06d50b5eb0 Pull in fairscale.nn.Pipe into PyTorch. (#44090) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/44090

This is an initial commit pulling in the torchgpipe fork at
https://github.com/facebookresearch/fairscale.

The purpose of this commit is to just pull in the code and ensure all tests and
builds work fine. We will slowly modify this to match our intended API
mentioned in https://fb.quip.com/txurAV3zIFox#RPZACAfAKMq. Follow up PRs would
address further changes needed on top of the initial commit..

We're pulling the code into the `torch.distributed._pipeline.sync` package. The
package is private on purpose since there is a lot of work (ex: docs, API
changes etc.) that needs to go in before we can actually officially support
this.
ghstack-source-id: 114864254

Test Plan:
1) waitforbuildbot
2) Ran all tests on my devgpu

Reviewed By: mrshenli

Differential Revision: D23493316

fbshipit-source-id: fe3c8b7dadeeb86abdc00e8a8652491b0b16743a
2020-10-22 10:59:02 -07:00

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#!/usr/bin/env python
import argparse
import copy
from datetime import datetime
import importlib
import modulefinder
import os
import shutil
import signal
import subprocess
import sys
import tempfile
import torch
import torch._six
from torch.utils import cpp_extension
from torch.testing._internal.common_utils import TEST_WITH_ROCM, shell, FILE_SCHEMA
import torch.distributed as dist
from typing import Dict, Optional
TESTS = [
'test_autograd',
'benchmark_utils/test_benchmark_utils',
'test_bundled_inputs',
'test_complex',
'test_cpp_api_parity',
'test_cpp_extensions_aot_no_ninja',
'test_cpp_extensions_aot_ninja',
'test_cpp_extensions_jit',
'distributed/test_c10d',
'distributed/test_c10d_spawn',
'test_cuda',
'test_jit_cuda_fuser',
'test_cuda_primary_ctx',
'test_dataloader',
'distributed/test_data_parallel',
'distributed/test_distributed_fork',
'distributed/test_distributed_spawn',
'distributions/test_constraints',
'distributions/test_distributions',
'test_expecttest',
'test_foreach',
'test_indexing',
'test_jit',
'test_linalg',
'test_logging',
'test_mkldnn',
'test_multiprocessing',
'test_multiprocessing_spawn',
'distributed/test_nccl',
'test_native_functions',
'test_nn',
'test_numba_integration',
'test_ops',
'test_optim',
'test_pytree',
'test_mobile_optimizer',
'test_xnnpack_integration',
'test_vulkan',
'test_quantization',
'test_sparse',
'test_spectral_ops',
'test_serialization',
'test_show_pickle',
'test_tensor_creation_ops',
'test_torch',
'test_type_info',
'test_type_hints',
'test_unary_ufuncs',
'test_utils',
'test_vmap',
'test_namedtuple_return_api',
'test_jit_profiling',
'test_jit_legacy',
'test_jit_fuser_legacy',
'test_tensorboard',
'test_namedtensor',
'test_type_promotion',
'test_jit_disabled',
'test_function_schema',
'test_op_aliases.py',
'test_overrides',
'test_jit_fuser_te',
'test_tensorexpr',
'test_openmp',
'test_profiler',
'distributed/nn/jit/test_instantiator',
'distributed/rpc/test_faulty_agent',
'distributed/rpc/test_process_group_agent',
'distributed/rpc/test_tensorpipe_agent',
'test_jit_py3',
'test_determination',
'test_futures',
'test_fx',
'test_fx_experimental',
'test_functional_autograd_benchmark',
'test_package',
'distributed/_pipeline/sync/skip/test_api',
'distributed/_pipeline/sync/skip/test_gpipe',
'distributed/_pipeline/sync/skip/test_inspect_skip_layout',
'distributed/_pipeline/sync/skip/test_leak',
'distributed/_pipeline/sync/skip/test_portal',
'distributed/_pipeline/sync/skip/test_stash_pop',
'distributed/_pipeline/sync/skip/test_tracker',
'distributed/_pipeline/sync/skip/test_verify_skippables',
'distributed/_pipeline/sync/test_balance',
'distributed/_pipeline/sync/test_bugs',
'distributed/_pipeline/sync/test_checkpoint',
'distributed/_pipeline/sync/test_copy',
'distributed/_pipeline/sync/test_deferred_batch_norm',
'distributed/_pipeline/sync/test_dependency',
'distributed/_pipeline/sync/test_inplace',
'distributed/_pipeline/sync/test_microbatch',
'distributed/_pipeline/sync/test_phony',
'distributed/_pipeline/sync/test_pipe',
'distributed/_pipeline/sync/test_pipeline',
'distributed/_pipeline/sync/test_stream',
'distributed/_pipeline/sync/test_transparency',
'distributed/_pipeline/sync/test_worker',
]
# Tests need to be run with pytest.
USE_PYTEST_LIST = [
'distributed/_pipeline/sync/skip/test_api',
'distributed/_pipeline/sync/skip/test_gpipe',
'distributed/_pipeline/sync/skip/test_inspect_skip_layout',
'distributed/_pipeline/sync/skip/test_leak',
'distributed/_pipeline/sync/skip/test_portal',
'distributed/_pipeline/sync/skip/test_stash_pop',
'distributed/_pipeline/sync/skip/test_tracker',
'distributed/_pipeline/sync/skip/test_verify_skippables',
'distributed/_pipeline/sync/test_balance',
'distributed/_pipeline/sync/test_bugs',
'distributed/_pipeline/sync/test_checkpoint',
'distributed/_pipeline/sync/test_copy',
'distributed/_pipeline/sync/test_deferred_batch_norm',
'distributed/_pipeline/sync/test_dependency',
'distributed/_pipeline/sync/test_inplace',
'distributed/_pipeline/sync/test_microbatch',
'distributed/_pipeline/sync/test_phony',
'distributed/_pipeline/sync/test_pipe',
'distributed/_pipeline/sync/test_pipeline',
'distributed/_pipeline/sync/test_stream',
'distributed/_pipeline/sync/test_transparency',
'distributed/_pipeline/sync/test_worker',
]
WINDOWS_BLOCKLIST = [
'distributed/nn/jit/test_instantiator',
'distributed/rpc/test_faulty_agent',
'distributed/rpc/test_process_group_agent',
'distributed/rpc/test_tensorpipe_agent',
'distributed/test_distributed_fork',
]
ROCM_BLOCKLIST = [
'distributed/nn/jit/test_instantiator',
'distributed/rpc/test_faulty_agent',
'distributed/rpc/test_process_group_agent',
'distributed/rpc/test_tensorpipe_agent',
'test_determination',
'test_multiprocessing',
'test_jit_legacy',
'test_type_hints',
'test_openmp',
]
RUN_PARALLEL_BLOCKLIST = [
'test_cpp_extensions_jit',
'test_expecttest',
'test_jit_disabled',
'test_mobile_optimizer',
'test_multiprocessing',
'test_multiprocessing_spawn',
'test_namedtuple_return_api',
'test_overrides',
'test_show_pickle',
'test_tensorexpr',
'test_cuda_primary_ctx',
] + [test for test in TESTS if test.startswith('distributed/')]
# These tests use some specific pytest feature like parameterized testing or
# fixtures that cannot be run by unittest
PYTEST_TESTS = [
'distributions/test_constraints'
]
# These tests are slow enough that it's worth calculating whether the patch
# touched any related files first.
SLOW_TESTS = [
'distributions/test_distributions',
'test_nn',
'test_autograd',
'test_cpp_extensions_jit',
'test_jit_legacy',
'test_dataloader',
'test_overrides',
'test_jit',
'test_jit_profiling',
'test_torch',
'distributed/nn/jit/test_instantiator',
'distributed/test_distributed_fork',
'distributed/rpc/test_process_group_agent',
'distributed/rpc/test_tensorpipe_agent',
'distributed/algorithms/ddp_comm_hooks/test_ddp_hooks',
'distributed/test_distributed_spawn',
'test_cuda',
'test_cuda_primary_ctx',
'test_cpp_extensions_aot_ninja',
'test_cpp_extensions_aot_no_ninja',
'test_serialization',
'test_optim',
'test_utils',
'test_multiprocessing',
'test_tensorboard',
'distributed/test_c10d',
'distributed/test_c10d_spawn',
'test_quantization',
'test_determination',
'test_futures',
'distributed/_pipeline/sync/skip/test_api',
'distributed/_pipeline/sync/skip/test_gpipe',
'distributed/_pipeline/sync/skip/test_inspect_skip_layout',
'distributed/_pipeline/sync/skip/test_leak',
'distributed/_pipeline/sync/skip/test_portal',
'distributed/_pipeline/sync/skip/test_stash_pop',
'distributed/_pipeline/sync/skip/test_tracker',
'distributed/_pipeline/sync/skip/test_verify_skippables',
'distributed/_pipeline/sync/test_balance',
'distributed/_pipeline/sync/test_bugs',
'distributed/_pipeline/sync/test_checkpoint',
'distributed/_pipeline/sync/test_copy',
'distributed/_pipeline/sync/test_deferred_batch_norm',
'distributed/_pipeline/sync/test_dependency',
'distributed/_pipeline/sync/test_inplace',
'distributed/_pipeline/sync/test_microbatch',
'distributed/_pipeline/sync/test_phony',
'distributed/_pipeline/sync/test_pipe',
'distributed/_pipeline/sync/test_pipeline',
'distributed/_pipeline/sync/test_stream',
'distributed/_pipeline/sync/test_transparency',
'distributed/_pipeline/sync/test_worker',
]
_DEP_MODULES_CACHE: Dict[str, set] = {}
DISTRIBUTED_TESTS_CONFIG = {}
if dist.is_available():
DISTRIBUTED_TESTS_CONFIG['test'] = {
'WORLD_SIZE': '1'
}
if not TEST_WITH_ROCM and dist.is_mpi_available():
DISTRIBUTED_TESTS_CONFIG['mpi'] = {
'WORLD_SIZE': '3',
'TEST_REPORT_SOURCE_OVERRIDE': 'dist-mpi'
}
if dist.is_nccl_available():
DISTRIBUTED_TESTS_CONFIG['nccl'] = {
'WORLD_SIZE': '2' if torch.cuda.device_count() == 2 else '3',
'TEST_REPORT_SOURCE_OVERRIDE': 'dist-nccl'
}
if not TEST_WITH_ROCM and dist.is_gloo_available():
DISTRIBUTED_TESTS_CONFIG['gloo'] = {
'WORLD_SIZE': '2' if torch.cuda.device_count() == 2 else '3',
'TEST_REPORT_SOURCE_OVERRIDE': 'dist-gloo'
}
# https://stackoverflow.com/questions/2549939/get-signal-names-from-numbers-in-python
SIGNALS_TO_NAMES_DICT = {getattr(signal, n): n for n in dir(signal)
if n.startswith('SIG') and '_' not in n}
CPP_EXTENSIONS_ERROR = """
Ninja (https://ninja-build.org) is required for some of the C++ extensions
tests, but it could not be found. Install ninja with `pip install ninja`
or `conda install ninja`. Alternatively, disable said tests with
`run_test.py --exclude test_cpp_extensions_aot_ninja test_cpp_extensions_jit`.
"""
PYTORCH_COLLECT_COVERAGE = bool(os.environ.get("PYTORCH_COLLECT_COVERAGE"))
JIT_EXECUTOR_TESTS = [
'test_jit_cuda_fuser',
'test_jit_profiling',
'test_jit_legacy',
'test_jit_fuser_legacy',
]
def print_to_stderr(message):
print(message, file=sys.stderr)
def get_executable_command(options, allow_pytest):
if options.coverage:
executable = ['coverage', 'run', '--parallel-mode', '--source=torch']
else:
executable = [sys.executable]
if options.pytest:
if allow_pytest:
executable += ['-m', 'pytest']
else:
print_to_stderr('Pytest cannot be used for this test. Falling back to unittest.')
return executable
def run_test(test_module, test_directory, options, launcher_cmd=None, extra_unittest_args=None):
unittest_args = options.additional_unittest_args.copy()
if options.verbose:
unittest_args.append('--verbose')
if test_module in RUN_PARALLEL_BLOCKLIST:
unittest_args = [arg for arg in unittest_args if not arg.startswith('--run-parallel')]
if extra_unittest_args:
assert isinstance(extra_unittest_args, list)
unittest_args.extend(extra_unittest_args)
# Can't call `python -m unittest test_*` here because it doesn't run code
# in `if __name__ == '__main__': `. So call `python test_*.py` instead.
argv = [test_module + '.py'] + unittest_args
# Extra arguments are not supported with pytest
executable = get_executable_command(options, allow_pytest=not extra_unittest_args)
command = (launcher_cmd or []) + executable + argv
print_to_stderr('Executing {} ... [{}]'.format(command, datetime.now()))
return shell(command, test_directory)
def test_cuda_primary_ctx(test_module, test_directory, options):
return run_test(test_module, test_directory, options, extra_unittest_args=['--subprocess'])
def _test_cpp_extensions_aot(test_module, test_directory, options, use_ninja):
if use_ninja:
try:
cpp_extension.verify_ninja_availability()
except RuntimeError:
print(CPP_EXTENSIONS_ERROR)
return 1
# Wipe the build folder, if it exists already
cpp_extensions_test_dir = os.path.join(test_directory, 'cpp_extensions')
cpp_extensions_test_build_dir = os.path.join(cpp_extensions_test_dir, 'build')
if os.path.exists(cpp_extensions_test_build_dir):
shutil.rmtree(cpp_extensions_test_build_dir)
# Build the test cpp extensions modules
shell_env = os.environ.copy()
shell_env['USE_NINJA'] = str(1 if use_ninja else 0)
cmd = [sys.executable, 'setup.py', 'install', '--root', './install']
return_code = shell(cmd, cwd=cpp_extensions_test_dir, env=shell_env)
if return_code != 0:
return return_code
if sys.platform != 'win32':
return_code = shell(cmd,
cwd=os.path.join(cpp_extensions_test_dir, 'no_python_abi_suffix_test'),
env=shell_env)
if return_code != 0:
return return_code
# "install" the test modules and run tests
python_path = os.environ.get('PYTHONPATH', '')
try:
cpp_extensions = os.path.join(test_directory, 'cpp_extensions')
install_directory = ''
# install directory is the one that is named site-packages
for root, directories, _ in os.walk(os.path.join(cpp_extensions, 'install')):
for directory in directories:
if '-packages' in directory:
install_directory = os.path.join(root, directory)
assert install_directory, 'install_directory must not be empty'
os.environ['PYTHONPATH'] = os.pathsep.join([install_directory, python_path])
return run_test(test_module, test_directory, options)
finally:
os.environ['PYTHONPATH'] = python_path
def test_cpp_extensions_aot_ninja(test_module, test_directory, options):
return _test_cpp_extensions_aot('test_cpp_extensions_aot', test_directory,
options, use_ninja=True)
def test_cpp_extensions_aot_no_ninja(test_module, test_directory, options):
return _test_cpp_extensions_aot('test_cpp_extensions_aot',
test_directory, options, use_ninja=False)
def test_distributed(test_module, test_directory, options):
mpi_available = subprocess.call('command -v mpiexec', shell=True) == 0
if options.verbose and not mpi_available:
print_to_stderr(
'MPI not available -- MPI backend tests will be skipped')
config = DISTRIBUTED_TESTS_CONFIG
for backend, env_vars in config.items():
if sys.platform == 'win32' and backend != 'gloo':
continue
if backend == 'mpi' and not mpi_available:
continue
for with_init_file in {True, False}:
if sys.platform == 'win32' and not with_init_file:
continue
tmp_dir = tempfile.mkdtemp()
if options.verbose:
init_str = "with {} init_method"
with_init = init_str.format("file" if with_init_file else "env")
print_to_stderr(
'Running distributed tests for the {} backend{}'.format(
backend, with_init))
os.environ['TEMP_DIR'] = tmp_dir
os.environ['BACKEND'] = backend
os.environ['INIT_METHOD'] = 'env://'
os.environ.update(env_vars)
if with_init_file:
if test_module in ["test_distributed_fork", "test_distributed_spawn"]:
init_method = f'{FILE_SCHEMA}{tmp_dir}/'
else:
init_method = f'{FILE_SCHEMA}{tmp_dir}/shared_init_file'
os.environ['INIT_METHOD'] = init_method
try:
os.mkdir(os.path.join(tmp_dir, 'barrier'))
os.mkdir(os.path.join(tmp_dir, 'test_dir'))
if backend == 'mpi':
# test mpiexec for --noprefix option
with open(os.devnull, 'w') as devnull:
noprefix_opt = '--noprefix' if subprocess.call(
'mpiexec -n 1 --noprefix bash -c ""', shell=True,
stdout=devnull, stderr=subprocess.STDOUT) == 0 else ''
mpiexec = ['mpiexec', '-n', '3', noprefix_opt]
return_code = run_test(test_module, test_directory, options,
launcher_cmd=mpiexec)
else:
return_code = run_test(test_module, test_directory, options)
if return_code != 0:
return return_code
finally:
shutil.rmtree(tmp_dir)
return 0
CUSTOM_HANDLERS = {
'test_cuda_primary_ctx': test_cuda_primary_ctx,
'test_cpp_extensions_aot_no_ninja': test_cpp_extensions_aot_no_ninja,
'test_cpp_extensions_aot_ninja': test_cpp_extensions_aot_ninja,
'distributed/test_distributed_fork': test_distributed,
'distributed/test_distributed_spawn': test_distributed,
}
def parse_test_module(test):
return test.split('.')[0]
class TestChoices(list):
def __init__(self, *args, **kwargs):
super(TestChoices, self).__init__(args[0])
def __contains__(self, item):
return list.__contains__(self, parse_test_module(item))
def parse_args():
parser = argparse.ArgumentParser(
description='Run the PyTorch unit test suite',
epilog='where TESTS is any of: {}'.format(', '.join(TESTS)))
parser.add_argument(
'-v',
'--verbose',
action='store_true',
help='print verbose information and test-by-test results')
parser.add_argument(
'--jit',
'--jit',
action='store_true',
help='run all jit tests')
parser.add_argument(
'-pt', '--pytest', action='store_true',
help='If true, use `pytest` to execute the tests. E.g., this runs '
'TestTorch with pytest in verbose and coverage mode: '
'python run_test.py -vci torch -pt')
parser.add_argument(
'-c', '--coverage', action='store_true', help='enable coverage',
default=PYTORCH_COLLECT_COVERAGE)
parser.add_argument(
'-i',
'--include',
nargs='+',
choices=TestChoices(TESTS),
default=TESTS,
metavar='TESTS',
help='select a set of tests to include (defaults to ALL tests).'
' tests can be specified with module name, module.TestClass'
' or module.TestClass.test_method')
parser.add_argument(
'-x',
'--exclude',
nargs='+',
choices=TESTS,
metavar='TESTS',
default=[],
help='select a set of tests to exclude')
parser.add_argument(
'-f',
'--first',
choices=TESTS,
metavar='TESTS',
help='select the test to start from (excludes previous tests)')
parser.add_argument(
'-l',
'--last',
choices=TESTS,
metavar='TESTS',
help='select the last test to run (excludes following tests)')
parser.add_argument(
'--bring-to-front',
nargs='+',
choices=TestChoices(TESTS),
default=[],
metavar='TESTS',
help='select a set of tests to run first. This can be used in situations'
' where you want to run all tests, but care more about some set, '
'e.g. after making a change to a specific component')
parser.add_argument(
'--ignore-win-blocklist',
action='store_true',
help='always run blocklisted windows tests')
parser.add_argument(
'--determine-from',
help='File of affected source filenames to determine which tests to run.')
parser.add_argument(
'--continue-through-error',
action='store_true',
help='Runs the full test suite despite one of the tests failing')
parser.add_argument(
'additional_unittest_args',
nargs='*',
help='additional arguments passed through to unittest, e.g., '
'python run_test.py -i sparse -- TestSparse.test_factory_size_check')
parser.add_argument(
'--shard',
nargs=2,
type=int,
help='runs a shard of the tests (taking into account other selections), e.g., '
'--shard 2 3 will break up the selected tests into 3 shards and run the tests '
'in the 2nd shard (the first number should not exceed the second)',
)
parser.add_argument(
'--exclude-jit-executor',
action='store_true',
help='exclude tests that are run for a specific jit config'
)
return parser.parse_args()
def find_test_index(test, selected_tests, find_last_index=False):
"""Find the index of the first or last occurrence of a given test/test module in the list of selected tests.
This function is used to determine the indices when slicing the list of selected tests when
``options.first``(:attr:`find_last_index`=False) and/or ``options.last``(:attr:`find_last_index`=True) are used.
:attr:`selected_tests` can be a list that contains multiple consequent occurrences of tests
as part of the same test module, e.g.:
```
selected_tests = ['autograd', 'cuda', **'torch.TestTorch.test_acos',
'torch.TestTorch.test_tan', 'torch.TestTorch.test_add'**, 'utils']
```
If :attr:`test`='torch' and :attr:`find_last_index`=False, result should be **2**.
If :attr:`test`='torch' and :attr:`find_last_index`=True, result should be **4**.
Arguments:
test (str): Name of test to lookup
selected_tests (list): List of tests
find_last_index (bool, optional): should we lookup the index of first or last
occurrence (first is default)
Returns:
index of the first or last occurrence of the given test
"""
idx = 0
found_idx = -1
for t in selected_tests:
if t.startswith(test):
found_idx = idx
if not find_last_index:
break
idx += 1
return found_idx
def exclude_tests(exclude_list, selected_tests, exclude_message=None):
for exclude_test in exclude_list:
tests_copy = selected_tests[:]
for test in tests_copy:
if test.startswith(exclude_test):
if exclude_message is not None:
print_to_stderr('Excluding {} {}'.format(test, exclude_message))
selected_tests.remove(test)
return selected_tests
def get_selected_tests(options):
selected_tests = options.include
if options.bring_to_front:
to_front = set(options.bring_to_front)
selected_tests = options.bring_to_front + list(filter(lambda name: name not in to_front,
selected_tests))
if options.first:
first_index = find_test_index(options.first, selected_tests)
selected_tests = selected_tests[first_index:]
if options.last:
last_index = find_test_index(options.last, selected_tests, find_last_index=True)
selected_tests = selected_tests[:last_index + 1]
if options.shard:
assert len(options.shard) == 2, "Unexpected shard format"
assert min(options.shard) > 0, "Shards must be positive numbers"
which_shard, num_shards = options.shard
assert which_shard <= num_shards, "Selected shard must be less or equal that total number of shards"
assert num_shards <= len(selected_tests), f"Number of shards must be less than {len(selected_tests)}"
selected_tests = selected_tests[which_shard - 1 :: num_shards]
if options.exclude_jit_executor:
options.exclude.extend(JIT_EXECUTOR_TESTS)
selected_tests = exclude_tests(options.exclude, selected_tests)
# exclude PYTEST_TESTS if pytest not installed.
if importlib.util.find_spec('pytest') is None:
selected_tests = exclude_tests(PYTEST_TESTS, selected_tests, 'PyTest not found.')
if sys.platform == 'win32' and not options.ignore_win_blocklist:
target_arch = os.environ.get('VSCMD_ARG_TGT_ARCH')
if target_arch != 'x64':
WINDOWS_BLOCKLIST.append('cpp_extensions_aot_no_ninja')
WINDOWS_BLOCKLIST.append('cpp_extensions_aot_ninja')
WINDOWS_BLOCKLIST.append('cpp_extensions_jit')
WINDOWS_BLOCKLIST.append('jit')
WINDOWS_BLOCKLIST.append('jit_fuser')
selected_tests = exclude_tests(WINDOWS_BLOCKLIST, selected_tests, 'on Windows')
elif TEST_WITH_ROCM:
selected_tests = exclude_tests(ROCM_BLOCKLIST, selected_tests, 'on ROCm')
return selected_tests
def test_impact_of_file(filename):
"""Determine what class of impact this file has on test runs.
Possible values:
TORCH - torch python code
CAFFE2 - caffe2 python code
TEST - torch test code
UNKNOWN - may affect all tests
NONE - known to have no effect on test outcome
CI - CI configuration files
"""
parts = filename.split(os.sep)
if parts[0] in ['.jenkins', '.circleci']:
return 'CI'
if parts[0] in ['docs', 'scripts', 'CODEOWNERS', 'README.md']:
return 'NONE'
elif parts[0] == 'torch':
if parts[-1].endswith('.py') or parts[-1].endswith('.pyi'):
return 'TORCH'
elif parts[0] == 'caffe2':
if parts[-1].endswith('.py') or parts[-1].endswith('.pyi'):
return 'CAFFE2'
elif parts[0] == 'test':
if parts[-1].endswith('.py') or parts[-1].endswith('.pyi'):
return 'TEST'
return 'UNKNOWN'
def log_test_reason(file_type, filename, test, options):
if options.verbose:
print_to_stderr(
'Determination found {} file {} -- running {}'.format(
file_type,
filename,
test,
)
)
def get_dep_modules(test):
# Cache results in case of repetition
if test in _DEP_MODULES_CACHE:
return _DEP_MODULES_CACHE[test]
repo_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
test_location = os.path.join(repo_root, 'test', test + '.py')
finder = modulefinder.ModuleFinder(
# Ideally exclude all third party modules, to speed up calculation.
excludes=[
'scipy',
'numpy',
'numba',
'multiprocessing',
'sklearn',
'setuptools',
'hypothesis',
'llvmlite',
'joblib',
'email',
'importlib',
'unittest',
'urllib',
'json',
'collections',
# Modules below are excluded because they are hitting https://bugs.python.org/issue40350
# Trigger AttributeError: 'NoneType' object has no attribute 'is_package'
'mpl_toolkits',
'google',
'onnx',
# Triggers RecursionError
'mypy'
],
)
# HACK: some platforms default to ascii, so we can't just run_script :(
with open(test_location, 'r', encoding='utf-8') as fp:
finder.load_module('__main__', fp, test_location, ('', 'r', 1))
dep_modules = set(finder.modules.keys())
_DEP_MODULES_CACHE[test] = dep_modules
return dep_modules
def determine_target(test, touched_files, options):
test = parse_test_module(test)
# Some tests are faster to execute than to determine.
if test not in SLOW_TESTS:
if options.verbose:
print_to_stderr(f'Running {test} without determination')
return True
# HACK: "no_ninja" is not a real module
if test.endswith('_no_ninja'):
test = test[:(-1 * len('_no_ninja'))]
if test.endswith('_ninja'):
test = test[:(-1 * len('_ninja'))]
dep_modules = get_dep_modules(test)
for touched_file in touched_files:
file_type = test_impact_of_file(touched_file)
if file_type == 'NONE':
continue
elif file_type == 'CI':
# Force all tests to run if any change is made to the CI
# configurations.
log_test_reason(file_type, touched_file, test, options)
return True
elif file_type == 'UNKNOWN':
# Assume uncategorized source files can affect every test.
log_test_reason(file_type, touched_file, test, options)
return True
elif file_type in ['TORCH', 'CAFFE2', 'TEST']:
parts = os.path.splitext(touched_file)[0].split(os.sep)
touched_module = ".".join(parts)
# test/ path does not have a "test." namespace
if touched_module.startswith('test.'):
touched_module = touched_module.split('test.')[1]
if (
touched_module in dep_modules
or touched_module == test.replace('/', '.')
):
log_test_reason(file_type, touched_file, test, options)
return True
# If nothing has determined the test has run, don't run the test.
if options.verbose:
print_to_stderr(f'Determination is skipping {test}')
return False
def run_test_module(test: str, test_directory: str, options) -> Optional[str]:
test_module = parse_test_module(test)
# Printing the date here can help diagnose which tests are slow
print_to_stderr('Running {} ... [{}]'.format(test, datetime.now()))
handler = CUSTOM_HANDLERS.get(test, run_test)
return_code = handler(test_module, test_directory, options)
assert isinstance(return_code, int) and not isinstance(
return_code, bool), 'Return code should be an integer'
if return_code == 0:
return None
message = f'{test} failed!'
if return_code < 0:
# subprocess.Popen returns the child process' exit signal as
# return code -N, where N is the signal number.
signal_name = SIGNALS_TO_NAMES_DICT[-return_code]
message += f' Received signal: {signal_name}'
return message
def main():
options = parse_args()
test_directory = os.path.dirname(os.path.abspath(__file__))
selected_tests = get_selected_tests(options)
if options.verbose:
print_to_stderr('Selected tests: {}'.format(', '.join(selected_tests)))
if options.coverage and not PYTORCH_COLLECT_COVERAGE:
shell(['coverage', 'erase'])
if options.jit:
selected_tests = filter(lambda test_name: "jit" in test_name, TESTS)
if options.determine_from is not None and os.path.exists(options.determine_from):
with open(options.determine_from, 'r') as fh:
touched_files = [
os.path.normpath(name.strip()) for name in fh.read().split('\n')
if len(name.strip()) > 0
]
# HACK: Ensure the 'test' paths can be traversed by Modulefinder
sys.path.append('test')
selected_tests = [
test for test in selected_tests
if determine_target(test, touched_files, options)
]
sys.path.remove('test')
has_failed = False
failure_messages = []
try:
for test in selected_tests:
options_clone = copy.deepcopy(options)
if test in USE_PYTEST_LIST:
options_clone.pytest = True
err_message = run_test_module(test, test_directory, options_clone)
if err_message is None:
continue
has_failed = True
failure_messages.append(err_message)
if not options_clone.continue_through_error:
raise RuntimeError(err_message)
print_to_stderr(err_message)
finally:
if options.coverage:
test_dir = os.path.dirname(os.path.abspath(__file__))
if not PYTORCH_COLLECT_COVERAGE:
shell(['coverage', 'combine'], cwd=test_dir)
shell(['coverage', 'html'], cwd=test_dir)
else:
shell(['coverage', 'combine', '--append'], cwd=test_dir)
if options.continue_through_error and has_failed:
for err in failure_messages:
print_to_stderr(message)
sys.exit(1)
if __name__ == '__main__':
main()
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