#!/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 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, ) 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 all_py_files = list(cwd.glob('**/test_*.py')) 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 # 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")] def discover_functorch_tests(): pytorch_root = pathlib.Path(__file__).resolve().parent.parent functorch_test_dir = os.path.join(pytorch_root, 'functorch', 'test') result = discover_tests(pathlib.Path(functorch_test_dir)) result = [os.path.join(functorch_test_dir, r) for r in result] # Sanity check assert len(result) >= 8 return result FUNCTORCH_TESTS = discover_functorch_tests() 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) 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) -> None: with open(file_path, "r") as f: print_to_stderr("") print_to_stderr(f"PRINT LOG FILE of {test} ({file_path})") print_to_stderr(f"##[group]PRINT LOG FILE of {test} ({file_path})") print_to_stderr(f.read()) print_to_stderr("##[endgroup]") print_to_stderr(f"FINISHED PRINT 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'], ) NUM_PROCS = 3 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, } 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 get_selected_tests(options): selected_tests = options.include # filter if there's JIT only and distributed only test options if options.jit: selected_tests = list( filter(lambda test_name: "jit" in test_name, selected_tests) ) if options.distributed_tests: selected_tests = list( filter(lambda test_name: test_name in DISTRIBUTED_TESTS, selected_tests) ) # Filter to only run core tests when --core option is specified if options.core: selected_tests = list( filter(lambda test_name: test_name in CORE_TEST_LIST, selected_tests) ) if options.functorch: selected_tests = FUNCTORCH_TESTS # process reordering 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] # process exclusion if options.exclude_jit_executor: options.exclude.extend(JIT_EXECUTOR_TESTS) if options.exclude_distributed_tests: options.exclude.extend(DISTRIBUTED_TESTS) # these tests failing in CUDA 11.6 temporary disabling. issue https://github.com/pytorch/pytorch/issues/75375 if torch.version.cuda is not None and LooseVersion(torch.version.cuda) >= "11.6": options.exclude.extend(["distributions/test_constraints"]) selected_tests = exclude_tests(options.exclude, selected_tests) 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") # This is exception that's caused by this issue https://github.com/pytorch/pytorch/issues/69460 # This below code should be removed once this issue is solved if torch.version.cuda is not None and LooseVersion(torch.version.cuda) >= "11.5": WINDOWS_BLOCKLIST.append("test_cpp_extensions_aot") WINDOWS_BLOCKLIST.append("test_cpp_extensions_aot_ninja") WINDOWS_BLOCKLIST.append("test_cpp_extensions_aot_no_ninja") selected_tests = exclude_tests(WINDOWS_BLOCKLIST, selected_tests, "on Windows") elif TEST_WITH_ROCM: selected_tests = exclude_tests(ROCM_BLOCKLIST, selected_tests, "on ROCm") # sharding 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 than or equal to total number of shards" assert num_shards <= len( selected_tests ), f"Number of shards must be less than {len(selected_tests)}" if num_shards == 1: return selected_tests # Download previous test times to make sharding decisions path = os.path.join(str(REPO_ROOT), TEST_TIMES_FILE) if os.path.exists(path): with open(path, "r") as f: test_file_times = cast(Dict[str, Any], json.load(f)) else: test_file_times = {} test_config = os.environ.get("TEST_CONFIG") if test_config not in test_file_times: print( "::warning:: Gathered no stats from artifacts. Proceeding with default sharding plan." ) selected_tests = selected_tests[which_shard - 1 :: num_shards] else: print("Found test time stats from artifacts") test_file_times_config = test_file_times[test_config] shards = calculate_shards(num_shards, selected_tests, test_file_times_config) _, tests_from_shard = shards[which_shard - 1] selected_tests = tests_from_shard # skip all distributed tests if distributed package is not available. if not dist.is_available(): selected_tests = exclude_tests(DISTRIBUTED_TESTS, selected_tests, "PyTorch is built without distributed support.") # skip tests that require LAPACK when it's not available if not torch._C.has_lapack: selected_tests = exclude_tests(TESTS_REQUIRING_LAPACK, selected_tests, "PyTorch is built without LAPACK support.") return selected_tests 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_module, run_test) return_code = handler(test_module, test_directory, options) assert isinstance(return_code, int) and not isinstance( return_code, bool ), f"While running {test} got non integer return code {return_code}" 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 = str(REPO_ROOT / "test") selected_tests = get_selected_tests(options) if options.verbose: print_to_stderr("Selected tests:\n {}".format("\n ".join(selected_tests))) if options.dry_run: return if options.coverage and not PYTORCH_COLLECT_COVERAGE: shell(["coverage", "erase"]) if IS_CI: selected_tests = get_reordered_tests(selected_tests) # downloading test cases configuration to local environment get_test_case_configs(dirpath=test_directory) 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: from coverage import Coverage with set_cwd(test_directory): cov = Coverage() if PYTORCH_COLLECT_COVERAGE: cov.load() cov.combine(strict=False) cov.save() if not PYTORCH_COLLECT_COVERAGE: cov.html_report() if options.continue_through_error and has_failed: for err in failure_messages: print_to_stderr(err) sys.exit(1) if __name__ == "__main__": main()