# 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 pytest import torch import cutlass_api pytestmark = pytest.mark.arch("80") def test_basic_keywords(): def epi(accum, C, alpha, beta): D = (alpha * accum) + (beta * C) return D cutlass_api.arguments.EpilogueArguments( epilogue_fn=epi, D=torch.randn(10, 10), C=torch.randn(10, 10), alpha=1.0, beta=1.0, ) def test_missing_keywords(): epifn = """ def epi(accum, C, alpha, beta): D = (alpha * accum) + (beta * C) F = relu(D) return D, F """ try: # Missing F cutlass_api.arguments.EpilogueArguments( epilogue_fn=epifn, D=torch.randn(10, 10), C=torch.randn(10, 10), alpha=1.0, beta=1.0, ) except ValueError as e: assert "F" in str(e) else: assert False, "Failed to catch missing keyword" def test_extra_keywords(): epifn = """ def epi(accum, C, alpha, beta): D = (alpha * accum) + (beta * C) F = relu(D) return D, F """ try: cutlass_api.arguments.EpilogueArguments( epilogue_fn=epifn, D=torch.randn(10, 10), C=torch.randn(10, 10), alpha=1.0, beta=1.0, F=torch.randn(10, 10), gamma=3.0, ) except ValueError as e: assert "gamma" in str(e) else: assert False, "Failed to catch extra keyword"