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62a0e4e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | # Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the Apache License, Version 2.0
# found in the LICENSE file in the root directory of this source tree.
# Modified from: https://github.com/huggingface/pytorch-image-models/blob/main/timm/models/vision_transformer.py#L103-L110
from typing import Optional, Union
import torch
from torch import Tensor
from torch import nn
class LayerScale(nn.Module):
def __init__(
self,
dim: int,
init_values: Union[float, Tensor] = 1e-5,
inplace: bool = False,
device: Optional[torch.device] = None,
dtype: Optional[torch.dtype] = None,
) -> None:
super().__init__()
self.inplace = inplace
self.init_values = init_values
self.gamma = nn.Parameter(torch.empty(dim, device=device, dtype=dtype))
self.reset_parameters()
def reset_parameters(self):
nn.init.constant_(self.gamma, self.init_values)
def forward(self, x: Tensor) -> Tensor:
return x.mul_(self.gamma) if self.inplace else x * self.gamma
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