mirror of https://github.com/hpcaitech/ColossalAI
parent
1a2e90dcc1
commit
20722a8c93
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@ -13,14 +13,20 @@ from colossalai.testing import parameterize, rerun_if_address_is_in_use, spawn
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@parameterize("scatter_dim", [0, 1, 2])
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@parameterize("dtype", [torch.bfloat16, torch.float16])
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@parameterize("fp8_format", ["e4m3", "e5m2"])
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def check_4gpu(shape, scatter_dim, dtype, fp8_format):
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@parameterize("async_op", [True, False])
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def check_4gpu(shape, scatter_dim, 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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input_list = list(torch.chunk(x, dim=scatter_dim, chunks=4))
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input_list = [t.contiguous() for t in input_list]
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output_origin = torch.empty_like(input_list[0])
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output_fp8 = torch.empty_like(input_list[0])
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reduce_scatter(output_origin, input_list, group=_get_default_group())
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reduce_scatter_fp8(output_fp8, input_list, group=_get_default_group(), fp8_format=fp8_format)
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origin_handle = reduce_scatter(output_origin, input_list, group=_get_default_group(), async_op=async_op)
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fp8_handle = reduce_scatter_fp8(
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output_fp8, input_list, group=_get_default_group(), fp8_format=fp8_format, async_op=async_op
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)
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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(output_origin, output_fp8, rtol=0.1, atol=0.1)
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