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96 lines
3.0 KiB
Python
96 lines
3.0 KiB
Python
# Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: BSD-3-Clause
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are met:
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# 1. Redistributions of source code must retain the above copyright notice, this
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# list of conditions and the following disclaimer.
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# 2. Redistributions in binary form must reproduce the above copyright notice,
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# this list of conditions and the following disclaimer in the documentation
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# and/or other materials provided with the distribution.
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# 3. Neither the name of the copyright holder nor the names of its
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# contributors may be used to endorse or promote products derived from
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# this software without specific prior written permission.
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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import pytest
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import torch
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import cutlass_api
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pytestmark = pytest.mark.arch("80")
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def test_basic_keywords():
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def epi(accum, C, alpha, beta):
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D = (alpha * accum) + (beta * C)
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return D
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cutlass_api.arguments.EpilogueArguments(
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epilogue_fn=epi,
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D=torch.randn(10, 10),
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C=torch.randn(10, 10),
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alpha=1.0,
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beta=1.0,
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)
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def test_missing_keywords():
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epifn = """
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def epi(accum, C, alpha, beta):
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D = (alpha * accum) + (beta * C)
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F = relu(D)
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return D, F
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"""
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try:
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# Missing F
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cutlass_api.arguments.EpilogueArguments(
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epilogue_fn=epifn,
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D=torch.randn(10, 10),
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C=torch.randn(10, 10),
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alpha=1.0,
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beta=1.0,
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)
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except ValueError as e:
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assert "F" in str(e)
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else:
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assert False, "Failed to catch missing keyword"
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def test_extra_keywords():
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epifn = """
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def epi(accum, C, alpha, beta):
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D = (alpha * accum) + (beta * C)
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F = relu(D)
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return D, F
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"""
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try:
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cutlass_api.arguments.EpilogueArguments(
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epilogue_fn=epifn,
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D=torch.randn(10, 10),
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C=torch.randn(10, 10),
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alpha=1.0,
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beta=1.0,
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F=torch.randn(10, 10),
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gamma=3.0,
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)
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except ValueError as e:
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assert "gamma" in str(e)
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else:
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assert False, "Failed to catch extra keyword"
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