mirror of https://github.com/hpcaitech/ColossalAI
42 lines
1.4 KiB
Python
42 lines
1.4 KiB
Python
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 tests.test_kernels.triton.utils import benchmark
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from colossalai.kernel.triton.copy_kv_cache_dest import copy_kv_cache_to_dest
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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_kv_cache_copy_op():
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B_NTX = 32 * 2048
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head_num = 8
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head_dim = 64
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cache = torch.randn((B_NTX, head_num, head_dim), device="cuda", dtype=torch.float16)
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dest_index = torch.arange(0, B_NTX, device="cuda", dtype=torch.int32)
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dest_data = torch.ones((B_NTX, head_num, head_dim), device="cuda", dtype=torch.float16)
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copy_kv_cache_to_dest(cache, dest_index, dest_data)
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assert torch.allclose(cache.cpu(), dest_data.cpu(), rtol=1e-3, atol=1e-3), "copy_kv_cache_to_dest outputs from triton and torch are not matched"
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latency = benchmark(copy_kv_cache_to_dest, cache, dest_index, dest_data)
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print("the average latency is {} ms".format(str(latency)))
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if __name__ == "__main__":
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test_kv_cache_copy_op()
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