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| # Copyright (C) 2022-present Naver Corporation. All rights reserved. | |
| # Licensed under CC BY-NC-SA 4.0 (non-commercial use only). | |
| # -------------------------------------------------------- | |
| # Heads for downstream tasks | |
| # -------------------------------------------------------- | |
| """ | |
| A head is a module where the __init__ defines only the head hyperparameters. | |
| A method setup(croconet) takes a CroCoNet and set all layers according to the head and croconet attributes. | |
| The forward takes the features as well as a dictionary img_info containing the keys 'width' and 'height' | |
| """ | |
| import torch | |
| import torch.nn as nn | |
| from .dpt_block import DPTOutputAdapter | |
| class PixelwiseTaskWithDPT(nn.Module): | |
| """ DPT module for CroCo. | |
| by default, hooks_idx will be equal to: | |
| * for encoder-only: 4 equally spread layers | |
| * for encoder+decoder: last encoder + 3 equally spread layers of the decoder | |
| """ | |
| def __init__(self, *, hooks_idx=None, layer_dims=[96,192,384,768], | |
| output_width_ratio=1, num_channels=1, postprocess=None, **kwargs): | |
| super(PixelwiseTaskWithDPT, self).__init__() | |
| self.return_all_blocks = True # backbone needs to return all layers | |
| self.postprocess = postprocess | |
| self.output_width_ratio = output_width_ratio | |
| self.num_channels = num_channels | |
| self.hooks_idx = hooks_idx | |
| self.layer_dims = layer_dims | |
| def setup(self, croconet): | |
| dpt_args = {'output_width_ratio': self.output_width_ratio, 'num_channels': self.num_channels} | |
| if self.hooks_idx is None: | |
| if hasattr(croconet, 'dec_blocks'): # encoder + decoder | |
| step = {8: 3, 12: 4, 24: 8}[croconet.dec_depth] | |
| hooks_idx = [croconet.dec_depth+croconet.enc_depth-1-i*step for i in range(3,-1,-1)] | |
| else: # encoder only | |
| step = croconet.enc_depth//4 | |
| hooks_idx = [croconet.enc_depth-1-i*step for i in range(3,-1,-1)] | |
| self.hooks_idx = hooks_idx | |
| print(f' PixelwiseTaskWithDPT: automatically setting hook_idxs={self.hooks_idx}') | |
| dpt_args['hooks'] = self.hooks_idx | |
| dpt_args['layer_dims'] = self.layer_dims | |
| self.dpt = DPTOutputAdapter(**dpt_args) | |
| dim_tokens = [croconet.enc_embed_dim if hook<croconet.enc_depth else croconet.dec_embed_dim for hook in self.hooks_idx] | |
| dpt_init_args = {'dim_tokens_enc': dim_tokens} | |
| self.dpt.init(**dpt_init_args) | |
| def forward(self, x, img_info): | |
| out = self.dpt(x, image_size=(img_info['height'],img_info['width'])) | |
| if self.postprocess: out = self.postprocess(out) | |
| return out |