e279b0bf72
Co-authored-by: Codex <codex@example.com> Co-authored-by: BBuf <xiaoyu.zhang@radixark.net>
42 lines
1.3 KiB
Python
42 lines
1.3 KiB
Python
import sys
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import pytest
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import torch
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from sglang.jit_kernel.add_constant import add_constant
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from sglang.test.ci.ci_register import register_cuda_ci
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register_cuda_ci(est_time=45, suite="base-b-kernel-unit-1-gpu-large")
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register_cuda_ci(est_time=180, suite="nightly-kernel-1-gpu", nightly=True)
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@pytest.mark.parametrize("size", [1, 2, 127, 128, 1024, 1025, 4096, 4097])
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@pytest.mark.parametrize("constant", [0, 1, 7, 1024, -3])
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def test_add_constant(size: int, constant: int) -> None:
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src = torch.arange(0, size, dtype=torch.int32, device="cuda")
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dst = add_constant(src, constant)
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assert torch.all(dst == src + constant)
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def test_add_constant_unaligned_input() -> None:
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src = torch.arange(0, 4098, dtype=torch.int32, device="cuda")[1:]
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dst = add_constant(src, 7)
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assert torch.all(dst == src + 7)
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@pytest.mark.parametrize("size", [2**20, 2**20 + 3])
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def test_add_constant_large_aligned_input(size: int) -> None:
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src = torch.arange(0, size, dtype=torch.int32, device="cuda")
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dst = add_constant(src, -3)
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assert torch.all(dst == src - 3)
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def test_add_constant_large_unaligned_input() -> None:
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src = torch.arange(0, 2**20 + 4, dtype=torch.int32, device="cuda")[1:]
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dst = add_constant(src, 7)
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assert torch.all(dst == src + 7)
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if __name__ == "__main__":
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sys.exit(pytest.main([__file__, "-v", "-s"]))
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