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# Copyright (c) Meta Platforms, Inc. and affiliates. | |
# All rights reserved. | |
# | |
# This source code is licensed under the license 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 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, | |
) -> None: | |
super().__init__() | |
self.inplace = inplace | |
self.gamma = nn.Parameter(init_values * torch.ones(dim)) | |
def forward(self, x: Tensor) -> Tensor: | |
return x.mul_(self.gamma) if self.inplace else x * self.gamma | |