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fix: format #4270

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Merged
binmakeswell merged 2 commits into from
Jul 18, 2023
Merged

fix: format #4270

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cd560a4
[NFC] polish colossalai/fx/profiler/experimental/profiler_module/embe…
Mar 27, 2023
5a7138c
[NFC] polish colossalai/communication/utils.py code style
Jul 18, 2023
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3 changes: 2 additions & 1 deletion colossalai/communication/utils.py
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Original file line number Diff line number Diff line change
@@ -1,10 +1,11 @@
from typing import List, Tuple, Union

import torch
import torch.distributed as dist

from colossalai.context.parallel_mode import ParallelMode
from colossalai.core import global_context as gpc
from colossalai.utils import get_current_device
from typing import Union, List, Tuple

TensorShape = Union[torch.Size, List[int], Tuple[int]]

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4 changes: 3 additions & 1 deletion colossalai/fx/profiler/experimental/profiler_module/embedding.py
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@@ -1,5 +1,7 @@
from typing import Tuple

import torch

from ..registry import meta_profiler_module


Expand All @@ -8,4 +10,4 @@ def torch_nn_embedding(self: torch.nn.Embedding, input: torch.Tensor) -> Tuple[i
# nn.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)
flops = 0
macs = 0
return flops, macs
return flops, macs