lightning/tests/tests_pytorch/conftest.py

# Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import signal
import threading
from functools import partial
from http.server import SimpleHTTPRequestHandler
from pathlib import Path
from typing import List

import pytest
import torch.distributed

from pytorch_lightning.plugins.environments.lightning_environment import find_free_network_port
from pytorch_lightning.trainer.connectors.signal_connector import SignalConnector
from pytorch_lightning.utilities.imports import _IS_WINDOWS
from tests_pytorch import _PATH_DATASETS


@pytest.fixture(scope="session")
def datadir():
    return Path(_PATH_DATASETS)


@pytest.fixture(scope="function", autouse=True)
def preserve_global_rank_variable():
    """Ensures that the rank_zero_only.rank global variable gets reset in each test."""
    from pytorch_lightning.utilities.rank_zero import rank_zero_only

    rank = getattr(rank_zero_only, "rank", None)
    yield
    if rank is not None:
        setattr(rank_zero_only, "rank", rank)


@pytest.fixture(scope="function", autouse=True)
def restore_env_variables():
    """Ensures that environment variables set during the test do not leak out."""
    env_backup = os.environ.copy()
    yield
    leaked_vars = os.environ.keys() - env_backup.keys()
    # restore environment as it was before running the test
    os.environ.clear()
    os.environ.update(env_backup)
    # these are currently known leakers - ideally these would not be allowed
    allowlist = {
        "CUBLAS_WORKSPACE_CONFIG",  # enabled with deterministic flag
        "CUDA_DEVICE_ORDER",
        "LOCAL_RANK",
        "NODE_RANK",
        "WORLD_SIZE",
        "MASTER_ADDR",
        "MASTER_PORT",
        "PL_GLOBAL_SEED",
        "PL_SEED_WORKERS",
        "WANDB_MODE",
        "WANDB_REQUIRE_SERVICE",
        "WANDB_SERVICE",
        "HOROVOD_FUSION_THRESHOLD",
        "RANK",  # set by DeepSpeed
        "POPLAR_ENGINE_OPTIONS",  # set by IPUStrategy
        # set by XLA
        "TF2_BEHAVIOR",
        "XRT_MESH_SERVICE_ADDRESS",
        "XRT_TORCH_DIST_ROOT",
        "XRT_MULTI_PROCESSING_DEVICE",
        "XRT_SHARD_WORLD_SIZE",
        "XRT_LOCAL_WORKER",
        "XRT_HOST_WORLD_SIZE",
        "XRT_SHARD_ORDINAL",
        "XRT_SHARD_LOCAL_ORDINAL",
        "TF_CPP_MIN_LOG_LEVEL",
    }
    leaked_vars.difference_update(allowlist)
    assert not leaked_vars, f"test is leaking environment variable(s): {set(leaked_vars)}"


@pytest.fixture(scope="function", autouse=True)
def restore_signal_handlers():
    """Ensures that signal handlers get restored before the next test runs.

    This is a safety net for tests that don't run Trainer's teardown.
    """
    valid_signals = SignalConnector._valid_signals()
    if not _IS_WINDOWS:
        # SIGKILL and SIGSTOP are not allowed to be modified by the user
        valid_signals -= {signal.SIGKILL, signal.SIGSTOP}
    handlers = {signum: signal.getsignal(signum) for signum in valid_signals}
    yield
    for signum, handler in handlers.items():
        if handler is not None:
            signal.signal(signum, handler)


@pytest.fixture(scope="function", autouse=True)
def teardown_process_group():
    """Ensures that the distributed process group gets closed before the next test runs."""
    yield
    if torch.distributed.is_available() and torch.distributed.is_initialized():
        torch.distributed.destroy_process_group()


@pytest.fixture(scope="function", autouse=True)
def reset_deterministic_algorithm():
    """Ensures that torch determinism settings are reset before the next test runs."""
    yield
    torch.use_deterministic_algorithms(False)


@pytest.fixture
def caplog(caplog):
    """Workaround for https://github.com/pytest-dev/pytest/issues/3697.

    Setting ``filterwarnings`` with pytest breaks ``caplog`` when ``not logger.propagate``.
    """
    import logging

    lightning_logger = logging.getLogger("pytorch_lightning")
    propagate = lightning_logger.propagate
    lightning_logger.propagate = True
    yield caplog
    lightning_logger.propagate = propagate


@pytest.fixture
def tmpdir_server(tmpdir):
    Handler = partial(SimpleHTTPRequestHandler, directory=str(tmpdir))
    from http.server import ThreadingHTTPServer

    with ThreadingHTTPServer(("localhost", 0), Handler) as server:
        server_thread = threading.Thread(target=server.serve_forever)
        # Exit the server thread when the main thread terminates
        server_thread.daemon = True
        server_thread.start()
        yield server.server_address
        server.shutdown()


@pytest.fixture
def single_process_pg():
    """Initialize the default process group with only the current process for testing purposes.

    The process group is destroyed when the with block is exited.
    """
    if torch.distributed.is_initialized():
        raise RuntimeError("Can't use `single_process_pg` when the default process group is already initialized.")

    orig_environ = os.environ.copy()
    os.environ["MASTER_ADDR"] = "localhost"
    os.environ["MASTER_PORT"] = str(find_free_network_port())
    os.environ["RANK"] = "0"
    os.environ["WORLD_SIZE"] = "1"
    torch.distributed.init_process_group("gloo")
    try:
        yield
    finally:
        torch.distributed.destroy_process_group()
        os.environ.clear()
        os.environ.update(orig_environ)


def pytest_collection_modifyitems(items: List[pytest.Function], config: pytest.Config):
    initial_size = len(items)
    conditions = []
    filtered, skipped = 0, 0

    options = dict(
        standalone="PL_RUN_STANDALONE_TESTS",
        min_cuda_gpus="PL_RUN_CUDA_TESTS",
        slow="PL_RUN_SLOW_TESTS",
        ipu="PL_RUN_IPU_TESTS",
        tpu="PL_RUN_TPU_TESTS",
    )
    if os.getenv(options["standalone"], "0") == "1" and os.getenv(options["min_cuda_gpus"], "0") == "1":
        # special case: we don't have a CPU job for standalone tests, so we shouldn't run only cuda tests.
        # by deleting the key, we avoid filtering out the CPU tests
        del options["min_cuda_gpus"]

    for kwarg, env_var in options.items():
        # this will compute the intersection of all tests selected per environment variable
        if os.getenv(env_var, "0") == "1":
            conditions.append(env_var)
            for i, test in reversed(list(enumerate(items))):  # loop in reverse, since we are going to pop items
                already_skipped = any(marker.name == "skip" for marker in test.own_markers)
                if already_skipped:
                    # the test was going to be skipped anyway, filter it out
                    items.pop(i)
                    skipped += 1
                    continue
                has_runif_with_kwarg = any(
                    marker.name == "skipif" and marker.kwargs.get(kwarg) for marker in test.own_markers
                )
                if not has_runif_with_kwarg:
                    # the test has `@RunIf(kwarg=True)`, filter it out
                    items.pop(i)
                    filtered += 1

    if config.option.verbose >= 0 and (filtered or skipped):
        writer = config.get_terminal_writer()
        writer.write(
            f"\nThe number of tests has been filtered from {initial_size} to {initial_size - filtered} after the"
            f" filters {conditions}.\n{skipped} tests are marked as unconditional skips.\nIn total, {len(items)} tests"
            " will run.\n",
            flush=True,
            bold=True,
            purple=True,  # oh yeah, branded pytest messages
        )


def pytest_addoption(parser):
    parser.addoption("--hpus", action="store", type=int, default=1, help="Number of hpus 1-8")
    parser.addoption(
        "--hmp-bf16", action="store", type=str, default="./ops_bf16_mnist.txt", help="bf16 ops list file in hmp O1 mode"
    )
    parser.addoption(
        "--hmp-fp32", action="store", type=str, default="./ops_fp32_mnist.txt", help="fp32 ops list file in hmp O1 mode"
    )


@pytest.fixture
def hpus(request):
    hpus = request.config.getoption("--hpus")
    return hpus