mirror of https://github.com/hpcaitech/ColossalAI
35 lines
1.2 KiB
Python
35 lines
1.2 KiB
Python
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import pytest
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from packaging import version
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import torch
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from torch import nn
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try:
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import triton
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import triton.language as tl
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from colossalai.kernel.triton.softmax import softmax
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HAS_TRITON = True
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except ImportError:
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HAS_TRITON = False
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print("please install triton from https://github.com/openai/triton")
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TRITON_CUDA_SUPPORT = version.parse(torch.version.cuda) > version.parse('11.4')
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@pytest.mark.skipif(not TRITON_CUDA_SUPPORT or not HAS_TRITON, reason="triton requires cuda version to be higher than 11.4")
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def test_softmax_op():
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data_samples = [
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torch.randn((3, 4, 5, 32), device = "cuda", dtype = torch.float32),
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torch.randn((320, 320, 78), device = "cuda", dtype = torch.float32),
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torch.randn((2345, 4, 5, 64), device = "cuda", dtype = torch.float16)
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]
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for data in data_samples:
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module = nn.Softmax(dim = -1)
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data_torch_out = module(data)
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data_triton_out = softmax(data)
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check = torch.allclose(data_torch_out.cpu(), data_triton_out.cpu(), rtol=1e-3, atol=1e-3)
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assert check is True, "softmax outputs from triton and torch are not matched"
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if __name__ == "__main__":
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test_softmax_op()
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