3f3db08a0a
A dataclass with no fields exposed a bug in `extract_dataclass_members`: ``` @dataclass class Dummy: pass ``` The type/return path was inconsistent. This PR fixes the function to support empty dataclasses, which are useful in unions.
73 lines
2.5 KiB
Python
73 lines
2.5 KiB
Python
# Copyright (c) 2025 - 2026 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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from dataclasses import dataclass
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import pytest
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import torch
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import cutlass
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import cutlass.cute as cute
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from cutlass.cute.runtime import from_dlpack
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@dataclass
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class A:
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pass
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@dataclass
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class B:
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pass
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@cute.kernel
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def _test_empty_dataclass_kernel(out: cute.Tensor, tag: A | B):
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tidx, _, _ = cute.arch.thread_idx()
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if tidx == 0:
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match tag:
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case A():
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out[0] = 0
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case B():
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out[0] = 1
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@cute.jit
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def _test_empty_dataclass_host(out: cute.Tensor, tag: A | B):
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_test_empty_dataclass_kernel(out, tag).launch(grid=[1, 1, 1], block=[1, 1, 1])
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@pytest.mark.parametrize("tag,expected", [(A(), 0), (B(), 1)])
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def test_empty_dataclass_union(tag, expected):
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out = torch.zeros(1, device="cuda", dtype=torch.int32)
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out_cute = from_dlpack(out).mark_layout_dynamic()
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compiled_fn = cute.compile(_test_empty_dataclass_host, out_cute, tag)
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compiled_fn(out_cute, tag)
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torch.cuda.synchronize()
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assert out.item() == expected
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