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Running
on
Zero
| # 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. | |
| import argparse | |
| import subprocess | |
| from collections import OrderedDict | |
| import torch | |
| from mmengine.runner import CheckpointLoader | |
| convert_dict_fpn = { | |
| 'module.backbone.fpn.fpn_inner2': 'neck.lateral_convs.0.conv', | |
| 'module.backbone.fpn.fpn_inner3': 'neck.lateral_convs.1.conv', | |
| 'module.backbone.fpn.fpn_inner4': 'neck.lateral_convs.2.conv', | |
| 'module.backbone.fpn.fpn_layer2': 'neck.fpn_convs.0.conv', | |
| 'module.backbone.fpn.fpn_layer3': 'neck.fpn_convs.1.conv', | |
| 'module.backbone.fpn.fpn_layer4': 'neck.fpn_convs.2.conv', | |
| 'module.backbone.fpn.top_blocks.p6': 'neck.fpn_convs.3.conv', | |
| 'module.backbone.fpn.top_blocks.p7': 'neck.fpn_convs.4.conv', | |
| } | |
| def correct_unfold_reduction_order(x): | |
| out_channel, in_channel = x.shape | |
| x = x.reshape(out_channel, 4, in_channel // 4) | |
| x = x[:, [0, 2, 1, 3], :].transpose(1, 2).reshape(out_channel, in_channel) | |
| return x | |
| def correct_unfold_norm_order(x): | |
| in_channel = x.shape[0] | |
| x = x.reshape(4, in_channel // 4) | |
| x = x[[0, 2, 1, 3], :].transpose(0, 1).reshape(in_channel) | |
| return x | |
| def convert(ckpt): | |
| new_ckpt = OrderedDict() | |
| for k, v in list(ckpt.items()): | |
| if 'anchor_generator' in k or 'resizer' in k or 'cls_logits' in k: | |
| continue | |
| new_v = v | |
| if 'module.backbone.body' in k: | |
| new_k = k.replace('module.backbone.body', 'backbone') | |
| if 'patch_embed.proj' in new_k: | |
| new_k = new_k.replace('patch_embed.proj', | |
| 'patch_embed.projection') | |
| elif 'pos_drop' in new_k: | |
| new_k = new_k.replace('pos_drop', 'drop_after_pos') | |
| if 'layers' in new_k: | |
| new_k = new_k.replace('layers', 'stages') | |
| if 'mlp.fc1' in new_k: | |
| new_k = new_k.replace('mlp.fc1', 'ffn.layers.0.0') | |
| elif 'mlp.fc2' in new_k: | |
| new_k = new_k.replace('mlp.fc2', 'ffn.layers.1') | |
| elif 'attn' in new_k: | |
| new_k = new_k.replace('attn', 'attn.w_msa') | |
| if 'downsample' in k: | |
| if 'reduction.' in k: | |
| new_v = correct_unfold_reduction_order(v) | |
| elif 'norm.' in k: | |
| new_v = correct_unfold_norm_order(v) | |
| elif 'module.backbone.fpn' in k: | |
| old_k = k.replace('.weight', '') | |
| old_k = old_k.replace('.bias', '') | |
| new_k = k.replace(old_k, convert_dict_fpn[old_k]) | |
| elif 'module.language_backbone' in k: | |
| new_k = k.replace('module.language_backbone', | |
| 'language_model.language_backbone') | |
| if 'pooler' in k: | |
| continue | |
| elif 'module.rpn' in k: | |
| if 'module.rpn.head.scales' in k: | |
| new_k = k.replace('module.rpn.head.scales', | |
| 'bbox_head.head.scales') | |
| else: | |
| new_k = k.replace('module.rpn', 'bbox_head') | |
| if 'anchor_generator' in k and 'resizer' in k: | |
| continue | |
| else: | |
| print('skip:', k) | |
| continue | |
| if 'DyConv' in new_k: | |
| new_k = new_k.replace('DyConv', 'dyconvs') | |
| if 'AttnConv' in new_k: | |
| new_k = new_k.replace('AttnConv', 'attnconv') | |
| new_ckpt[new_k] = new_v | |
| return new_ckpt | |
| def main(): | |
| parser = argparse.ArgumentParser( | |
| description='Convert keys to mmdet style.') | |
| parser.add_argument( | |
| 'src', default='glip_a_tiny_o365.pth', help='src model path or url') | |
| # The dst path must be a full path of the new checkpoint. | |
| parser.add_argument( | |
| '--dst', default='glip_tiny_a_mmdet.pth', help='save path') | |
| args = parser.parse_args() | |
| checkpoint = CheckpointLoader.load_checkpoint(args.src, map_location='cpu') | |
| if 'model' in checkpoint: | |
| state_dict = checkpoint['model'] | |
| else: | |
| state_dict = checkpoint | |
| weight = convert(state_dict) | |
| torch.save(weight, args.dst) | |
| sha = subprocess.check_output(['sha256sum', args.dst]).decode() | |
| final_file = args.dst.replace('.pth', '') + '-{}.pth'.format(sha[:8]) | |
| subprocess.Popen(['mv', args.dst, final_file]) | |
| print(f'Done!!, save to {final_file}') | |
| if __name__ == '__main__': | |
| main() | |