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