mirror of https://github.com/hpcaitech/ColossalAI
20 lines
630 B
Python
20 lines
630 B
Python
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import torch
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from typing import Optional
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from ..registry import meta_profiler_function
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@meta_profiler_function.register(torch.nn.functional.embedding)
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def torch_nn_functional_embedding(
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input: torch.Tensor,
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weight: torch.Tensor,
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padding_idx: Optional[int] = None,
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max_norm: Optional[float] = None,
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norm_type: float = 2.0,
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scale_grad_by_freq: bool = False,
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sparse: bool = False,
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) -> torch.Tensor:
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# F.embedding is a dictionary lookup, so technically it has 0 FLOPs. (https://discuss.pytorch.org/t/correct-way-to-calculate-flops-in-model/67198/6)
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flops = 0
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macs = 0
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return flops, macs
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