mirror of https://github.com/hpcaitech/ColossalAI
[tensor] fix a assertion in colo_tensor cross_entropy (#1232)
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0e199d71e8
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0453776def
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@ -23,7 +23,7 @@ def colo_cross_entropy(input_tensor: GeneralTensor,
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input_tensor = convert_to_colo_tensor(input_tensor, pg)
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input_tensor = convert_to_colo_tensor(input_tensor, pg)
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if input_tensor.is_replicate(): # Input is gathered
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if input_tensor.is_replicate(): # Input is gathered
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assert target.is_replicate() and weight.is_replicate(), \
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assert target.is_replicate() and (weight is None or weight.is_replicate()), \
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"Target tensor and weight tensor both should be complete"
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"Target tensor and weight tensor both should be complete"
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output = F.cross_entropy(input_tensor,
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output = F.cross_entropy(input_tensor,
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target,
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target,
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@ -41,7 +41,7 @@ def run_dist(rank, world_size, port):
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@pytest.mark.dist
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@pytest.mark.dist
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@pytest.mark.parametrize('world_size', [2])
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@pytest.mark.parametrize('world_size', [1, 2])
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@rerun_if_address_is_in_use()
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@rerun_if_address_is_in_use()
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def test_loss_func(world_size):
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def test_loss_func(world_size):
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run_func = partial(run_dist, world_size=world_size, port=free_port())
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run_func = partial(run_dist, world_size=world_size, port=free_port())
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@ -49,4 +49,4 @@ def test_loss_func(world_size):
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if __name__ == '__main__':
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if __name__ == '__main__':
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test_loss_func(2)
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test_loss_func(1)
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