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ColossalAI/tests/test_infer_ops/triton/test_softmax.py

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import pytest
from packaging import version
import torch
from torch import nn
try:
import triton
import triton.language as tl
from colossalai.kernel.triton.softmax import softmax
HAS_TRITON = True
except ImportError:
HAS_TRITON = False
print("please install triton from https://github.com/openai/triton")
TRITON_CUDA_SUPPORT = version.parse(torch.version.cuda) > version.parse('11.4')
@pytest.mark.skipif(not TRITON_CUDA_SUPPORT or not HAS_TRITON, 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()