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[fp8]update reduce-scatter test (#6002) 

* fix

* fix

* fix

* fix
pull/6009/head
flybird11111 2024-08-15 14:40:54 +08:00 committed by GitHub
parent 1a2e90dcc1
commit 20722a8c93
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1 changed files with 9 additions and 3 deletions
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tests/test_fp8/test_fp8_reduce_scatter.py
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@ -13,14 +13,20 @@ from colossalai.testing import parameterize, rerun_if_address_is_in_use, spawn
@parameterize("scatter_dim", [0, 1, 2]) @parameterize("scatter_dim", [0, 1, 2])
@parameterize("dtype", [torch.bfloat16, torch.float16]) @parameterize("dtype", [torch.bfloat16, torch.float16])
@parameterize("fp8_format", ["e4m3", "e5m2"]) @parameterize("fp8_format", ["e4m3", "e5m2"])
def check_4gpu(shape, scatter_dim, dtype, fp8_format): @parameterize("async_op", [True, False])
def check_4gpu(shape, scatter_dim, dtype, fp8_format, async_op):
x = torch.rand(shape, dtype=dtype, device=get_accelerator().get_current_device()) x = torch.rand(shape, dtype=dtype, device=get_accelerator().get_current_device())
input_list = list(torch.chunk(x, dim=scatter_dim, chunks=4)) input_list = list(torch.chunk(x, dim=scatter_dim, chunks=4))
input_list = [t.contiguous() for t in input_list] input_list = [t.contiguous() for t in input_list]
output_origin = torch.empty_like(input_list[0]) output_origin = torch.empty_like(input_list[0])
output_fp8 = torch.empty_like(input_list[0]) output_fp8 = torch.empty_like(input_list[0])
reduce_scatter(output_origin, input_list, group=_get_default_group()) origin_handle = reduce_scatter(output_origin, input_list, group=_get_default_group(), async_op=async_op)
reduce_scatter_fp8(output_fp8, input_list, group=_get_default_group(), fp8_format=fp8_format) fp8_handle = reduce_scatter_fp8(
output_fp8, input_list, group=_get_default_group(), fp8_format=fp8_format, async_op=async_op
)
if async_op:
origin_handle.wait()
fp8_handle.wait()
assert_close(output_origin, output_fp8, rtol=0.1, atol=0.1) assert_close(output_origin, output_fp8, rtol=0.1, atol=0.1)