mirror of https://github.com/hpcaitech/ColossalAI
[NFC] polish colossalai/nn/_ops/embedding.py code style (#1561)
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08815f0e72
commit
0c4c9aa6e0
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@ -111,18 +111,17 @@ def colo_embedding(input_tensor: GeneralTensor,
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assert isinstance(weight, ColoTensor)
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input_tensor = convert_to_colo_tensor(input_tensor, weight.get_process_group())
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if not weight.has_compute_spec(): # No Model Parallel Applied
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if not weight.has_compute_spec(): # No Model Parallel Applied
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assert weight.is_replicate(), 'Invalid weight spec for native embedding op'
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return ColoTensor.from_torch_tensor(
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tensor=F.embedding(input_tensor,
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weight,
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padding_idx=padding_idx,
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max_norm=max_norm,
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norm_type=norm_type,
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scale_grad_by_freq=scale_grad_by_freq,
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sparse=sparse),
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spec=ColoTensorSpec(weight.get_process_group()))
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elif weight.has_compute_pattern(ComputePattern.TP1D): # Single Model Parallel Applied
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return ColoTensor.from_torch_tensor(tensor=F.embedding(input_tensor,
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weight,
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padding_idx=padding_idx,
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max_norm=max_norm,
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norm_type=norm_type,
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scale_grad_by_freq=scale_grad_by_freq,
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sparse=sparse),
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spec=ColoTensorSpec(weight.get_process_group()))
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elif weight.has_compute_pattern(ComputePattern.TP1D): # Single Model Parallel Applied
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if weight.is_shard_1drow():
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mode = 'row'
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elif weight.is_shard_1dcol():
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