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run_test.py
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run_test.py
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#!/usr/bin/env python3
import argparse
import copy
from datetime import datetime
from distutils.util import strtobool
from distutils.version import LooseVersion
import functools
import os
import pathlib
import shutil
import signal
import subprocess
import sys
import tempfile
import json
import glob
from typing import Dict, Optional, List, cast, Any
import torch
from torch.utils import cpp_extension
from torch.testing._internal.common_utils import (
IS_CI,
FILE_SCHEMA,
TEST_WITH_ROCM,
shell,
set_cwd,
parser as common_parser,
)
import torch.distributed as dist
from torch.multiprocessing import Pool, get_context
REPO_ROOT = pathlib.Path(__file__).resolve().parent.parent
try:
# using tools/ to optimize test run.
sys.path.append(str(REPO_ROOT))
from tools.stats.export_test_times import TEST_TIMES_FILE
from tools.testing.test_selections import (
get_reordered_tests,
get_test_case_configs,
calculate_shards,
NUM_PROCS
)
HAVE_TEST_SELECTION_TOOLS = True
except ImportError:
HAVE_TEST_SELECTION_TOOLS = False
print(
"Unable to import test_selections from tools/testing. Running without test selection stats..."
)
def discover_tests(
base_dir: Optional[pathlib.Path] = None,
blocklisted_patterns: Optional[List[str]] = None,
blocklisted_tests: Optional[List[str]] = None,
extra_tests: Optional[List[str]] = None) -> List[str]:
"""
Searches for all python files starting with test_ excluding one specified by patterns
"""
def skip_test_p(name: str) -> bool:
rc = False
if blocklisted_patterns is not None:
rc |= any(name.startswith(pattern) for pattern in blocklisted_patterns)
if blocklisted_tests is not None:
rc |= name in blocklisted_tests
return rc
cwd = pathlib.Path(__file__).resolve().parent if base_dir is None else base_dir
# This supports symlinks, so we can link domain library tests like functorch
# to PyTorch test directory
all_py_files = [pathlib.Path(p) for p in glob.glob(f"{cwd}/**/test_*.py", recursive=True)]
rc = [str(fname.relative_to(cwd))[:-3] for fname in all_py_files]
# Invert slashes on Windows
if sys.platform == "win32":
rc = [name.replace('\\', '/') for name in rc]
rc = [test for test in rc if not skip_test_p(test)]
if extra_tests is not None:
rc += extra_tests
return sorted(rc)
TESTS = discover_tests(
blocklisted_patterns=[
'ao',
'bottleneck_test',
'custom_backend',
'custom_operator',
'fx', # executed by test_fx.py
'jit', # executed by test_jit.py
'mobile',
'onnx',
'package', # executed by test_package.py
'quantization', # executed by test_quantization.py
'autograd', # executed by test_autograd.py
],
blocklisted_tests=[
'test_bundled_images',
'test_cpp_extensions_aot',
'test_determination',
'test_jit_fuser',
'test_jit_simple',
'test_jit_string',
'test_kernel_launch_checks',
'test_metal',
# Right now we have a separate CI job for running MPS
'test_mps',
'test_nnapi',
'test_segment_reductions',
'test_static_runtime',
'test_throughput_benchmark',
'test_typing',
"distributed/bin/test_script",
"distributed/elastic/multiprocessing/bin/test_script",
"distributed/launcher/bin/test_script",
"distributed/launcher/bin/test_script_init_method",
"distributed/launcher/bin/test_script_is_torchelastic_launched",
"distributed/launcher/bin/test_script_local_rank",
"distributed/test_c10d_spawn",
'distributions/test_transforms',
'distributions/test_utils',
],
extra_tests=[
"test_cpp_extensions_aot_ninja",
"test_cpp_extensions_aot_no_ninja",
"distributed/elastic/timer/api_test",
"distributed/elastic/timer/local_timer_example",
"distributed/elastic/timer/local_timer_test",
"distributed/elastic/events/lib_test",
"distributed/elastic/metrics/api_test",
"distributed/elastic/utils/logging_test",
"distributed/elastic/utils/util_test",
"distributed/elastic/utils/distributed_test",
"distributed/elastic/multiprocessing/api_test",
]
)
# The doctests are a special case that don't correspond to a file that discover
# tests can enable.
TESTS = TESTS + ['doctests']
FSDP_TEST = [test for test in TESTS if test.startswith("distributed/fsdp")]
# 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",
"distributions/test_constraints",
"distributions/test_transforms",
"distributions/test_utils",
"test_typing",
"distributed/elastic/events/lib_test",
"distributed/elastic/agent/server/test/api_test",
"test_deploy",
]
WINDOWS_BLOCKLIST = [
"distributed/nn/jit/test_instantiator",
"distributed/rpc/test_faulty_agent",
"distributed/rpc/test_tensorpipe_agent",
"distributed/rpc/test_share_memory",
"distributed/rpc/cuda/test_tensorpipe_agent",
"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",
"distributed/elastic/agent/server/test/api_test",
"distributed/elastic/multiprocessing/api_test",
"distributed/_shard/checkpoint/test_checkpoint"
"distributed/_shard/checkpoint/test_file_system_checkpoint"
"distributed/_shard/sharding_spec/test_sharding_spec",
"distributed/_shard/sharding_plan/test_sharding_plan",
"distributed/_shard/sharded_tensor/test_megatron_prototype",
"distributed/_shard/sharded_tensor/test_sharded_tensor",
"distributed/_shard/sharded_tensor/test_sharded_tensor_reshard",
"distributed/_shard/sharded_tensor/ops/test_chunk",
"distributed/_shard/sharded_tensor/ops/test_elementwise_ops",
"distributed/_shard/sharded_tensor/ops/test_embedding",
"distributed/_shard/sharded_tensor/ops/test_embedding_bag",
"distributed/_shard/sharded_tensor/ops/test_binary_cmp",
"distributed/_shard/sharded_tensor/ops/test_init",
"distributed/_shard/sharded_tensor/ops/test_linear",
"distributed/_shard/sharded_tensor/ops/test_math_ops",
"distributed/_shard/sharded_tensor/ops/test_matrix_ops",
"distributed/_shard/sharded_tensor/ops/test_softmax",
"distributed/_shard/sharded_optim/test_sharded_optim",
"distributed/_shard/test_partial_tensor",
"distributed/_shard/test_replicated_tensor",
] + FSDP_TEST
ROCM_BLOCKLIST = [
"distributed/rpc/test_faulty_agent",
"distributed/rpc/test_tensorpipe_agent",
"distributed/rpc/test_share_memory",
"distributed/rpc/cuda/test_tensorpipe_agent",
"distributed/_shard/checkpoint/test_checkpoint"
"distributed/_shard/checkpoint/test_file_system_checkpoint"
"distributed/_shard/sharding_spec/test_sharding_spec",
"distributed/_shard/sharding_plan/test_sharding_plan",
"distributed/_shard/sharded_tensor/test_megatron_prototype",
"distributed/_shard/sharded_tensor/test_sharded_tensor",
"distributed/_shard/sharded_tensor/test_sharded_tensor_reshard",
"distributed/_shard/sharded_tensor/ops/test_chunk",
"distributed/_shard/sharded_tensor/ops/test_elementwise_ops",
"distributed/_shard/sharded_tensor/ops/test_embedding",
"distributed/_shard/sharded_tensor/ops/test_embedding_bag",
"distributed/_shard/sharded_tensor/ops/test_binary_cmp",
"distributed/_shard/sharded_tensor/ops/test_init",
"distributed/_shard/sharded_tensor/ops/test_linear",
"distributed/_shard/sharded_tensor/ops/test_math_ops",
"distributed/_shard/sharded_tensor/ops/test_matrix_ops",
"distributed/_shard/sharded_tensor/ops/test_softmax",
"distributed/_shard/sharded_optim/test_sharded_optim",
"distributed/_shard/test_partial_tensor",
"distributed/_shard/test_replicated_tensor",
"test_determination",
"test_jit_legacy",
]
RUN_PARALLEL_BLOCKLIST = [
"test_cpp_extensions_jit",
"test_cpp_extensions_open_device_registration",
"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_cuda_trace",
] + FSDP_TEST
CI_SERIAL_LIST = [
'test_nn',
'test_fake_tensor',
'test_cpp_api_parity',
'test_reductions',
'test_cuda',
'test_jit_cuda_fuser', # OOM on test_issue_1785, also profiling?
'test_indexing',
'test_fx_backends',
'test_linalg',
'test_cpp_extensions_jit',
'test_torch',
'test_tensor_creation_ops',
'test_sparse_csr',
'test_dispatch',
'nn/test_pooling',
'distributions/test_distributions',
'test_autograd', # slow gradcheck runs a test that checks the cuda memory allocator
'test_prims', # slow gradcheck runs a test that checks the cuda memory allocator
'test_modules', # failed test due to mismatched elements
'functorch/test_vmap', # OOM
'test_fx', # gets SIGKILL
]
# A subset of our TEST list that validates PyTorch's ops, modules, and autograd function as expected
CORE_TEST_LIST = [
"test_autograd",
"test_modules",
"test_nn",
"test_ops",
"test_ops_gradients",
"test_ops_jit",
"test_torch"
]
# if a test file takes longer than 5 min, we add it to TARGET_DET_LIST
SLOW_TEST_THRESHOLD = 300
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 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",
}
if dist.is_ucc_available():
DISTRIBUTED_TESTS_CONFIG["ucc"] = {
"WORLD_SIZE": "2" if torch.cuda.device_count() == 2 else "3",
"TEST_REPORT_SOURCE_OVERRIDE": "dist-ucc",
"UCX_TLS": "tcp",
"UCC_TLS": "nccl,ucp",
"UCC_TL_UCP_TUNE": "cuda:0", # don't use UCP TL on CUDA as it is not well supported
}
# 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_profiling",
"test_jit_legacy",
"test_jit_fuser_legacy",
]
DISTRIBUTED_TESTS = [test for test in TESTS if test.startswith("distributed")]
FUNCTORCH_TESTS = [test for test in TESTS if test.startswith("functorch")]
TESTS_REQUIRING_LAPACK = [
"distributions/test_constraints",
"distributions/test_distributions",
]
def print_to_stderr(message):
print(message, file=sys.stderr)
def get_executable_command(options, allow_pytest, disable_coverage=False):
if options.coverage and not disable_coverage:
executable = ["coverage", "run", "--parallel-mode", "--source=torch"]
else:
executable = [sys.executable, "-bb"]
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,
env=None,
) -> int:
unittest_args = options.additional_unittest_args.copy()
if options.verbose:
unittest_args.append(f'-{"v"*options.verbose}') # in case of pytest
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)
# If using pytest, replace -f with equivalent -x
if options.pytest:
unittest_args = [arg if arg != "-f" else "-x" for arg in unittest_args]
elif IS_CI:
# use the downloaded test cases configuration, not supported in pytest
unittest_args.extend(["--import-slow-tests", "--import-disabled-tests"])
# Extra arguments are not supported with pytest
executable = get_executable_command(
options, allow_pytest=not 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
os.makedirs(REPO_ROOT / "test" / "test-reports", exist_ok=True)
log_fd, log_path = tempfile.mkstemp(dir=REPO_ROOT / "test" / "test-reports",
prefix="{}_".format(test_module.replace("\\", "-").replace("/", "-")))
os.close(log_fd)
command = (launcher_cmd or []) + executable + argv
print_to_stderr("Executing {} ... [{}]".format(command, datetime.now()))
with open(log_path, "w") as f:
ret_code = shell(command, test_directory, stdout=f, stderr=f, env=env)
print_log_file(test_module, log_path, failed=(ret_code != 0))
os.remove(log_path)
return ret_code
def test_cuda_primary_ctx(test_module, test_directory, options):
return run_test(
test_module, test_directory, options, extra_unittest_args=["--subprocess"]
)
run_test_with_subprocess = functools.partial(run_test, extra_unittest_args=["--subprocess"])
def get_run_test_with_subprocess_fn():
return lambda test_module, test_directory, options: run_test_with_subprocess(test_module, test_directory, options)
def _test_cpp_extensions_aot(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", "")
from shutil import copyfile
os.environ['USE_NINJA'] = shell_env['USE_NINJA']
test_module = "test_cpp_extensions_aot" + ("_ninja" if use_ninja else "_no_ninja")
copyfile(
test_directory + "/test_cpp_extensions_aot.py",
test_directory + "/" + test_module + ".py",
)
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
if os.path.exists(test_directory + "/" + test_module + ".py"):
os.remove(test_directory + "/" + test_module + ".py")
os.environ.pop('USE_NINJA')
def test_cpp_extensions_aot_ninja(test_module, test_directory, options):
return _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_directory, options, use_ninja=False)
def test_distributed(test_module, test_directory, options):
# MPI tests are broken with Python-3.9
mpi_available = subprocess.call(
"command -v mpiexec", shell=True
) == 0 and sys.version_info < (3, 9)
if options.verbose and not mpi_available:
print_to_stderr("MPI not available -- MPI backend tests will be skipped")
config = DISTRIBUTED_TESTS_CONFIG
for with_init_file in {True, False}:
# Run all distributed backends in parallel, trying to run env/file init
# methods in parallel too ends in failures in which the subprocesses
# timeout
pool = Pool(processes=len(config))
return_codes = []
tmp_dirs = []
for backend, env_vars in config.items():
if sys.platform == "win32" and backend != "gloo":
continue
if backend == "mpi" and not mpi_available:
continue
if sys.platform == "win32" and not with_init_file:
continue
tmp_dir = tempfile.mkdtemp()
tmp_dirs.append(tmp_dir)
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
)
)
old_environ = dict(os.environ)
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_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:
allowrunasroot_opt = (
"--allow-run-as-root"
if subprocess.call(
'mpiexec --allow-run-as-root -n 1 bash -c ""',
shell=True,
stdout=devnull,
stderr=subprocess.STDOUT,
)
== 0
else ""
)
noprefix_opt = (
"--noprefix"
if subprocess.call(
f'mpiexec {allowrunasroot_opt} -n 1 --noprefix bash -c ""',
shell=True,
stdout=devnull,
stderr=subprocess.STDOUT,
)
== 0
else ""
)
mpiexec = ["mpiexec", "-n", "3", noprefix_opt, allowrunasroot_opt]
return_code = pool.apply_async(
run_test,
args=(test_module, test_directory, options),
kwds={
"launcher_cmd": mpiexec,
"env": os.environ.copy(),
}
)
else:
return_code = pool.apply_async(
run_test,
args=(test_module, test_directory, options),
kwds={
"extra_unittest_args": ["--subprocess"],
"env": os.environ.copy(),
}
)
return_codes.append(return_code)
finally:
os.environ.clear()
os.environ.update(old_environ)
pool.close()
# Close the pool and wait for all the processes to finish
pool.join()
for tmp_dir in tmp_dirs:
shutil.rmtree(tmp_dir)
for return_code in return_codes:
if return_code.get() != 0:
return return_code
return 0
def run_doctests(test_module, test_directory, options):
"""
Assumes the incoming test module is called doctest, and simply executes the
xdoctest runner on the torch library itself.
"""
import xdoctest
import pathlib
pkgpath = pathlib.Path(torch.__file__).parent
#
enabled = {
# TODO: expose these options to the user
# Temporary disable all feature-conditional tests
# 'lapack': 'auto',
# 'cuda': 'auto',
# 'cuda1': 'auto',
# 'qengine': 'auto',
'lapack': 0,
'cuda': 0,
'cuda1': 0,
'qengine': 0,
}
# Resolve "auto" based on a test to determine if the feature is available.
if enabled['cuda'] == 'auto' and torch.cuda.is_available():
enabled['cuda'] = True
if enabled['cuda1'] == 'auto' and torch.cuda.is_available() and torch.cuda.device_count() > 1:
enabled['cuda1'] = True
if enabled['lapack'] == 'auto' and torch._C.has_lapack:
enabled['lapack'] = True
if enabled['qengine'] == 'auto':
try:
# Is there a better check if quantization is enabled?
import torch.nn.quantized as nnq # NOQA
torch.backends.quantized.engine = 'qnnpack'
torch.backends.quantized.engine = 'fbgemm'
except (ImportError, RuntimeError):
...
else:
enabled['qengine'] = True
# Set doctest environment variables
if enabled['cuda']:
os.environ['TORCH_DOCTEST_CUDA'] = '1'
if enabled['cuda1']:
os.environ['TORCH_DOCTEST_CUDA1'] = '1'
if enabled['lapack']:
os.environ['TORCH_DOCTEST_LAPACK'] = '1'
if enabled['qengine']:
os.environ['TORCH_DOCTEST_QENGINE'] = '1'
pkgpath = os.path.dirname(torch.__file__)
xdoctest_config = {
'global_exec': r'\n'.join([
'from torch import nn',
'import torch.nn.functional as F',
'import torch',
]),
'style': 'google',
'options': '+IGNORE_WHITESPACE',
}
xdoctest_verbose = max(1, options.verbose)
run_summary = xdoctest.runner.doctest_module(
os.fspath(pkgpath), config=xdoctest_config, verbose=xdoctest_verbose,
command=options.xdoctest_command, argv=[])
result = 1 if run_summary.get('n_failed', 0) else 0
return result
def print_log_file(test: str, file_path: str, failed: bool) -> None:
with open(file_path, "r") as f:
print_to_stderr("")
if failed:
print_to_stderr(f"PRINTING LOG FILE of {test} ({file_path})")
print_to_stderr(f.read())
print_to_stderr(f"FINISHED PRINTING LOG FILE of {test} ({file_path})")
else:
print_to_stderr(f"Expand the folded group to see the log file of {test}")
print_to_stderr(f"##[group]PRINTING LOG FILE of {test} ({file_path})")
print_to_stderr(f.read())
print_to_stderr("##[endgroup]")
print_to_stderr(f"FINISHED PRINTING LOG FILE of {test} ({file_path})")
print_to_stderr("")
def run_test_ops(test_module, test_directory, options):
if 'slow-gradcheck' in os.getenv("BUILD_ENVIRONMENT", ""):
# there are a lot of tests that take up a lot of space in slowgrad check, so don't bother parallelizing
# it's also on periodic so we don't care about TTS as much
return run_test(test_module, test_directory, copy.deepcopy(options),
extra_unittest_args=["--use-pytest", '-vv', '-x', '--reruns=2', '-rfEX'],
)
return_codes = []
os.environ["NUM_PARALLEL_PROCS"] = str(NUM_PROCS)
pool = get_context("spawn").Pool(NUM_PROCS)
for i in range(NUM_PROCS):
return_code = pool.apply_async(run_test, args=(test_module, test_directory, copy.deepcopy(options)),
kwds={"extra_unittest_args": ["--use-pytest", '-vv', '-x', '--reruns=2', '-rfEX',
f'--shard-id={i}', f'--num-shards={NUM_PROCS}',
"-k=not _linalg_cholesky_"],
})
return_codes.append(return_code)
pool.close()
pool.join()
del os.environ['NUM_PARALLEL_PROCS']
for return_code in return_codes:
if return_code.get() != 0:
return return_code.get()
return_code = run_test(test_module, test_directory, copy.deepcopy(options),
extra_unittest_args=["--use-pytest", '-vv', '-x', '--reruns=2', '-rfEX',
"-k=_linalg_cholesky_"],
)
return return_code
CUSTOM_HANDLERS = {
"test_cuda_primary_ctx": test_cuda_primary_ctx,
"test_cuda_trace": get_run_test_with_subprocess_fn(),
"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_spawn": test_distributed,
"distributed/algorithms/quantization/test_quantization": test_distributed,
"distributed/test_c10d_nccl": get_run_test_with_subprocess_fn(),
"distributed/test_c10d_gloo": get_run_test_with_subprocess_fn(),
"distributed/test_c10d_common": get_run_test_with_subprocess_fn(),
"distributed/test_c10d_spawn_gloo": get_run_test_with_subprocess_fn(),
"distributed/test_c10d_spawn_nccl": get_run_test_with_subprocess_fn(),
"distributed/test_store": get_run_test_with_subprocess_fn(),
"distributed/test_pg_wrapper": get_run_test_with_subprocess_fn(),
"distributed/rpc/test_faulty_agent": get_run_test_with_subprocess_fn(),
"distributed/rpc/test_tensorpipe_agent": get_run_test_with_subprocess_fn(),
"distributed/rpc/test_share_memory": get_run_test_with_subprocess_fn(),
"distributed/rpc/cuda/test_tensorpipe_agent": get_run_test_with_subprocess_fn(),
"doctests": run_doctests,
"test_ops": run_test_ops,
"test_ops_gradients": run_test_ops,
"test_ops_jit": run_test_ops,
"functorch/test_ops": run_test_ops,
}
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)),
formatter_class=argparse.RawTextHelpFormatter,
parents=[common_parser]
)
parser.add_argument(
"-v",
"--verbose",
action="count",
default=0,
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(
"--distributed-tests",
"--distributed-tests",
action="store_true",
help="run all distributed tests",
)
parser.add_argument(
"--functorch",
"--functorch",
action="store_true",
help=(
"If this flag is present, we will only run functorch tests. "
"If this flag is not present, we will not run any functorch tests. "
"This requires functorch to already be installed."
)
)
parser.add_argument(
"-core",
"--core",
action="store_true",
help="Only run core tests, or tests that validate PyTorch's ops, modules,"
"and autograd. They are defined by CORE_TEST_LIST."
)
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 must be a part of the TESTS list defined in run_test.py",
)
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",
)
# NS: Disable target determination until it can be made more reliable
# 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",
default=strtobool(os.environ.get("CONTINUE_THROUGH_ERROR", "False")),
)
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",
)
parser.add_argument(
"--exclude-distributed-tests",
action="store_true",
help="exclude distributed tests",
)
parser.add_argument(
"--dry-run",
action="store_true",
help="Only list the test that will run.",
)
parser.add_argument(
"--xdoctest-command",
default='list',
help=(
"Control the specific doctest action. "
"Use 'list' to simply parse doctests and check syntax. "
"Use 'all' to execute all doctests or specify a specific "
"doctest to run")
)
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**.
Args:
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 must_serial(file: str) -> bool:
return (
"distributed" in os.getenv("TEST_CONFIG", "") or
"dynamo" in os.getenv("TEST_CONFIG", "") or
"distributed" in file or
file in CUSTOM_HANDLERS or
file in RUN_PARALLEL_BLOCKLIST or
file in CI_SERIAL_LIST
)