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add pytest support for tutorial gemm (#2826)

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* add pytest support for tutorial gemm

* add license
This commit is contained in:
Linfeng Zheng
2025-12-05 21:45:01 +08:00
committed by GitHub
parent 7252a2d17e
commit f6402fcd5e
7 changed files with 829 additions and 8 deletions
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148
test/examples/CuTeDSL/conftest.py Normal file
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# Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: BSD-3-Clause
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
# 2. Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
# 3. Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import os
import sys
from pathlib import Path
import logging
import hashlib
import random
import pytest
import torch
import numpy as np
project_root = Path(__file__).resolve().parent.parent.parent.parent
example_path = project_root / "examples" / "python" / "CuTeDSL"
utils_path = project_root / "test" / "utils"
sys.path.append(str(example_path))
sys.path.append(str(utils_path))
# The helper class to prevent modification of sys.path from test files
# Only allow modification of sys.path from pytest monkeypatch API calls
class ImmutableSysPath(list):
mutating_methods = {
"append",
"extend",
"insert",
"remove",
"pop",
"clear",
"reverse",
"sort",
"__setitem__",
"__delitem__",
}
for mtd in mutating_methods:
def mutating_method(self, *args, mtd=mtd, **kwargs):
frame = sys._getframe().f_back
if (
frame
and hasattr(frame, "f_locals")
and "__file__" in frame.f_locals
and frame.f_locals["__file__"].startswith(str(project_root))
):
err_msg = (
"Modification of sys.path is forbidden in test file! "
"Please use pytest monkeypatch.syspath_prepend(...) instead."
)
raise RuntimeError(err_msg)
else:
return getattr(super(), mtd)(*args, **kwargs)
locals()[mtd] = mutating_method
def __init__(self, initial=None):
if initial is None:
initial = []
super().__init__(initial)
sys.path = ImmutableSysPath(list(sys.path))
pytest_plugins = ["test_sharding"]
def pytest_addoption(parser):
parser.addoption(
"--sample-interval",
action="store",
type=int,
default=4,
help="If value x is provided, then 1 / x of random picked tests will be run",
)
@pytest.fixture
def sample_interval(request):
return request.config.getoption("--sample-interval")
# Removes all StreamHandlers from loggers at the end of test session
# This prevents errors when atexit-registered functions try to use loggers
# whose handlers have already been closed during pytest teardown
@pytest.fixture(scope="session", autouse=True)
def cleanup_logging_handlers():
try:
yield
finally:
loggers = [logging.getLogger()] + list(
logging.Logger.manager.loggerDict.values()
)
for logger in loggers:
handlers = getattr(logger, "handlers", [])
for handler in handlers:
if isinstance(handler, logging.StreamHandler):
logger.removeHandler(handler)
@pytest.fixture(autouse=True, scope="module")
def torch_sanity_check():
if not torch.cuda.is_available():
raise RuntimeError("GPU is required to run example tests!")
@pytest.fixture(autouse=True)
def torch_empty_cache():
"""
Automatically empty the torch CUDA cache at the end of each test, to reduce risk of OOM errors.
"""
yield
if torch.cuda.is_available():
torch.cuda.empty_cache()
@pytest.fixture(autouse=True)
def random_seed(request):
test_case = request.node.nodeid.split(os.sep)[-1]
seed = int(hashlib.md5(test_case.encode("utf-8")).hexdigest(), 16) % (2**32)
random.seed(seed)
np.random.seed(seed)
if torch.cuda.is_available():
torch.manual_seed(seed)

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test/examples/CuTeDSL/sm_100a/conftest.py Normal file
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# Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: BSD-3-Clause
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
# 2. Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
# 3. Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
def pytest_configure(config):
config.default_SMs[__file__] = "100f"

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test/examples/CuTeDSL/sm_100a/test_tutorial_gemm.py Normal file
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# Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: BSD-3-Clause
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
# 2. Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
# 3. Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
from blackwell.tutorial_gemm import fp16_gemm_0
from blackwell.tutorial_gemm import fp16_gemm_1
import pytest
from typing import Tuple
@pytest.mark.parametrize(
"mnk",
[(512, 512, 256)],
)
@pytest.mark.parametrize("tolerance", [1e-01])
def test_fp16_gemm_0(
mnk: Tuple[int, int, int],
tolerance: float,
):
fp16_gemm_0.run_dense_gemm(mnk, tolerance)
@pytest.mark.parametrize(
"mnk",
[(512, 512, 256)],
)
@pytest.mark.parametrize("tolerance", [1e-01])
def test_fp16_gemm_1(
mnk: Tuple[int, int, int],
tolerance: float,
):
fp16_gemm_1.run_dense_gemm(mnk, tolerance)