86e9c8df29
Co-authored-by: mgoin <michael@neuralmagic.com> Co-authored-by: Divakar Verma <137818590+divakar-amd@users.noreply.github.com> Co-authored-by: Tyler Michael Smith <tyler@neuralmagic.com>
15 lines
518 B
Python
15 lines
518 B
Python
import pytest
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import torch
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from tests.kernels.utils import opcheck
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from vllm._custom_ops import permute_cols
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@pytest.mark.parametrize('shape', [(1, 512), (544, 4096), (67, 8192)])
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@pytest.mark.parametrize('dtype', [torch.bfloat16, torch.float16])
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def test_permute_cols(shape, dtype):
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x = torch.randn(shape, dtype=dtype).cuda()
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perm = torch.randperm(x.shape[1]).to(torch.int).cuda()
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opcheck(torch.ops._C.permute_cols, (x, perm))
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y = permute_cols(x, perm)
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torch.testing.assert_close(y, x[:, perm]) |