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			40 lines
		
	
	
		
			1.2 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			40 lines
		
	
	
		
			1.2 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the license found in the
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# LICENSE file in the root directory of this source tree.
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# References:
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#   https://github.com/facebookresearch/dino/blob/master/vision_transformer.py
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#   https://github.com/rwightman/pytorch-image-models/tree/master/timm/layers/mlp.py
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from typing import Callable, Optional
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from torch import Tensor, nn
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class Mlp(nn.Module):
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    def __init__(
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        self,
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        in_features: int,
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        hidden_features: Optional[int] = None,
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        out_features: Optional[int] = None,
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        act_layer: Callable[..., nn.Module] = nn.GELU,
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        drop: float = 0.0,
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        bias: bool = True,
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    ) -> None:
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        super().__init__()
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        out_features = out_features or in_features
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        hidden_features = hidden_features or in_features
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        self.fc1 = nn.Linear(in_features, hidden_features, bias=bias)
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        self.act = act_layer()
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        self.fc2 = nn.Linear(hidden_features, out_features, bias=bias)
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        self.drop = nn.Dropout(drop)
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    def forward(self, x: Tensor) -> Tensor:
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        x = self.fc1(x)
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        x = self.act(x)
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        x = self.drop(x)
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        x = self.fc2(x)
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        x = self.drop(x)
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        return x
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