pytorch/test/run_test.py
Mikhail Zolotukhin 42b2c8c65d [TensorExpr] Add a fuser pass based on tensor expressions. (#34226)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/34226

LLVM and Cuda backends are added in subsequent PRs, so at this point the fuser is pretty useless, but it still can be tested and its logic is not going to change with addition of the codegens.

Differential Revision: D20251838

Test Plan: Imported from OSS

Pulled By: ZolotukhinM

fbshipit-source-id: 82b0d221fa89904ed526689d02a6c7676a8ce8de
2020-03-16 11:49:24 -07:00

675 lines
23 KiB
Python
Executable File

#!/usr/bin/env python
from __future__ import print_function
import argparse
from datetime import datetime
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
import torch.distributed as dist
PY2 = sys.version_info <= (3,)
PY33 = sys.version_info >= (3, 3)
PY36 = sys.version_info >= (3, 6)
TESTS = [
'test_autograd',
'test_complex',
'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_cuda_primary_ctx',
'test_dataloader',
'distributed/test_data_parallel',
'distributed/test_distributed',
'test_distributions',
'test_docs_coverage',
'test_expecttest',
'test_fake_quant',
'test_indexing',
'test_jit',
'test_logging',
'test_mkldnn',
'test_multiprocessing',
'test_multiprocessing_spawn',
'distributed/test_nccl',
'test_nn',
'test_numba_integration',
'test_optim',
'test_qat',
'test_quantization',
'test_quantized',
'test_quantized_tensor',
'test_quantized_nn_mods',
'test_sparse',
'test_serialization',
'test_torch',
'test_type_info',
'test_type_hints',
'test_utils',
'test_namedtuple_return_api',
'test_jit_fuser',
'test_jit_simple',
'test_jit_legacy',
'test_jit_fuser_legacy',
'test_tensorboard',
'test_namedtensor',
'test_type_promotion',
'test_jit_disabled',
'test_function_schema',
'test_overrides',
]
# skip < 3.3 because mock is added in 3.3 and is used in rpc_spawn
# skip python2 for rpc and dist_autograd tests that do not support python2
if PY33:
TESTS.extend([
'distributed/rpc/test_rpc_spawn',
'distributed/rpc/test_dist_autograd_spawn',
'distributed/rpc/test_dist_optimizer_spawn',
'distributed/rpc/jit/test_dist_autograd_spawn',
])
# skip < 3.6 b/c fstrings added in 3.6
if PY36:
TESTS.extend([
'test_jit_py3',
'test_determination',
'distributed/rpc/jit/test_rpc_spawn',
])
WINDOWS_BLACKLIST = [
'distributed/test_distributed',
'distributed/rpc/test_rpc_spawn',
'distributed/rpc/test_dist_autograd_spawn',
'distributed/rpc/test_dist_optimizer_spawn',
'distributed/rpc/jit/test_rpc_spawn',
'distributed/rpc/jit/test_dist_autograd_spawn',
]
ROCM_BLACKLIST = [
'test_cpp_extensions_aot_ninja',
'test_cpp_extensions_jit',
'test_multiprocessing',
'distributed/rpc/test_rpc_spawn',
'distributed/rpc/test_dist_autograd_spawn',
'distributed/rpc/test_dist_optimizer_spawn',
'distributed/rpc/jit/test_rpc_spawn',
'distributed/rpc/jit/test_dist_autograd_spawn',
'test_determination',
]
# These tests are slow enough that it's worth calculating whether the patch
# touched any related files first.
SLOW_TESTS = [
'test_nn',
'test_autograd',
'test_cpp_extensions_jit',
'test_jit_legacy',
'test_quantized',
'test_dataloader',
'test_overrides',
'test_jit_simple',
'test_jit',
'test_torch',
'distributed/test_distributed',
'distributed/rpc/test_rpc_spawn',
'distributed/rpc/test_dist_autograd_spawn',
'test_cuda',
'test_cuda_primary_ctx',
'test_cpp_extensions_aot_ninja',
'test_cpp_extensions_aot_no_ninja',
'test_serialization',
'test_distributions',
'test_optim',
'test_utils',
'test_multiprocessing',
'test_tensorboard',
'distributed/test_c10d',
'distributed/test_c10d_spawn',
'test_quantization',
'test_determination',
]
_DEP_MODULES_CACHE = {}
DISTRIBUTED_TESTS_CONFIG = {}
if dist.is_available():
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`.
"""
def print_to_stderr(message):
print(message, file=sys.stderr)
def run_test(executable, test_module, test_directory, options, *extra_unittest_args):
unittest_args = options.additional_unittest_args
if options.verbose:
unittest_args.append('--verbose')
# 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 + list(extra_unittest_args)
command = executable + argv
return shell(command, test_directory)
def test_cuda_primary_ctx(executable, test_module, test_directory, options):
return run_test(executable, test_module, test_directory, options, '--subprocess')
def _test_cpp_extensions_aot(executable, 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(executable, test_module, test_directory, options)
finally:
os.environ['PYTHONPATH'] = python_path
def test_cpp_extensions_aot_ninja(executable, test_module, test_directory, options):
return _test_cpp_extensions_aot(executable, 'test_cpp_extensions_aot', test_directory,
options, use_ninja=True)
def test_cpp_extensions_aot_no_ninja(executable, test_module, test_directory, options):
return _test_cpp_extensions_aot(executable, 'test_cpp_extensions_aot',
test_directory, options, use_ninja=False)
def test_distributed(executable, 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 backend == 'mpi' and not mpi_available:
continue
for with_init_file in {True, False}:
tmp_dir = tempfile.mkdtemp()
if options.verbose:
with_init = ' with file init_method' if with_init_file else ''
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 == "test_distributed":
init_method = 'file://{}/'.format(tmp_dir)
else:
init_method = 'file://{}/shared_init_file'.format(tmp_dir)
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] + executable
return_code = run_test(mpiexec, test_module,
test_directory, options)
else:
return_code = run_test(executable, 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': 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')
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-blacklist',
action='store_true',
help='always run blacklisted windows tests')
parser.add_argument(
'--determine-from',
help='File of affected source filenames to determine which tests to run.')
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')
return parser.parse_args()
def get_executable_command(options):
if options.coverage:
executable = ['coverage', 'run', '--parallel-mode', '--source torch']
else:
executable = [sys.executable]
if options.pytest:
executable += ['-m', 'pytest']
return executable
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]
selected_tests = exclude_tests(options.exclude, selected_tests)
if sys.platform == 'win32' and not options.ignore_win_blacklist:
target_arch = os.environ.get('VSCMD_ARG_TGT_ARCH')
if target_arch != 'x64':
WINDOWS_BLACKLIST.append('cpp_extensions_aot_no_ninja')
WINDOWS_BLACKLIST.append('cpp_extensions_aot_ninja')
WINDOWS_BLACKLIST.append('cpp_extensions_jit')
WINDOWS_BLACKLIST.append('jit')
WINDOWS_BLACKLIST.append('jit_fuser')
selected_tests = exclude_tests(WINDOWS_BLACKLIST, selected_tests, 'on Windows')
elif TEST_WITH_ROCM:
selected_tests = exclude_tests(ROCM_BLACKLIST, 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 repitition
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',
],
)
# HACK: some platforms default to ascii, so we can't just run_script :(
if PY2:
finder.run_script(test_location)
else:
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('Running {} without determination'.format(test))
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('Determination is skipping {}'.format(test))
return False
def main():
options = parse_args()
executable = get_executable_command(options) # this is a list
print_to_stderr('Test executor: {}'.format(executable))
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:
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')
for test in selected_tests:
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(executable, 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:
message = '{} failed!'.format(test)
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 += ' Received signal: {}'.format(signal_name)
raise RuntimeError(message)
if options.coverage:
shell(['coverage', 'combine'])
shell(['coverage', 'html'])
if __name__ == '__main__':
main()