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38 lines
881 B
Python
38 lines
881 B
Python
import pytest
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import torch
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from kernels import get_kernel
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@pytest.fixture
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def kernel():
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return get_kernel("kernels-community/activation")
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@pytest.fixture
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def device():
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if not torch.cuda.is_available():
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pytest.skip("No CUDA")
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return "cuda"
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@pytest.mark.linux_only
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def test_gelu_small(kernel, device, benchmark):
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x = torch.randn(32, 32, dtype=torch.float16, device=device)
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y = torch.empty_like(x)
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benchmark(kernel.gelu_fast, y, x)
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@pytest.mark.linux_only
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def test_gelu_medium(kernel, device, benchmark):
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x = torch.randn(128, 128, dtype=torch.float16, device=device)
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y = torch.empty_like(x)
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benchmark(kernel.gelu_fast, y, x)
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@pytest.mark.linux_only
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def test_gelu_large(kernel, device, benchmark):
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x = torch.randn(512, 512, dtype=torch.float16, device=device)
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y = torch.empty_like(x)
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benchmark(kernel.gelu_fast, y, x)
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