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[fp8] support asynchronous FP8 communication (#5997)
* fix * fix * fix * support async all2all * support async op for all gather * fix * fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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@@ -22,15 +22,22 @@ from colossalai.testing import parameterize, rerun_if_address_is_in_use, spawn
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)
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@parameterize("dtype", [torch.float16, torch.bfloat16])
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@parameterize("fp8_format", ["e4m3", "e5m2"])
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def check_4gpu(shape, dtype, fp8_format):
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@parameterize("async_op", [True, False])
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def check_4gpu(shape, dtype, fp8_format, async_op):
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x = torch.rand(shape, dtype=dtype, device=get_accelerator().get_current_device())
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x_fp8 = x.clone()
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dist.all_reduce(x)
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all_reduce_fp8(x_fp8, fp8_format=fp8_format)
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origin_handle = dist.all_reduce(x, async_op=async_op)
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fp8_handle = all_reduce_fp8(x_fp8, fp8_format=fp8_format, async_op=async_op)
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if async_op:
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origin_handle.wait()
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fp8_handle.wait()
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assert_close(x, x_fp8, rtol=0.1, atol=0.1)
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dist.all_reduce(x, op=dist.ReduceOp.AVG)
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all_reduce_fp8(x_fp8, op=dist.ReduceOp.AVG, fp8_format=fp8_format)
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origin_handle = dist.all_reduce(x, op=dist.ReduceOp.AVG, async_op=async_op)
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fp8_handle = all_reduce_fp8(x_fp8, op=dist.ReduceOp.AVG, fp8_format=fp8_format, async_op=async_op)
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if async_op:
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origin_handle.wait()
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fp8_handle.wait()
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assert_close(x, x_fp8, rtol=0.1, atol=0.1)
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