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import argparse |
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import os.path as osp |
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from collections import OrderedDict |
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import mmengine |
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import torch |
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from mmengine.runner import CheckpointLoader |
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def convert_twins(args, ckpt): |
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new_ckpt = OrderedDict() |
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for k, v in list(ckpt.items()): |
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new_v = v |
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if k.startswith('head'): |
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continue |
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elif k.startswith('patch_embeds'): |
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if 'proj.' in k: |
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new_k = k.replace('proj.', 'projection.') |
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else: |
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new_k = k |
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elif k.startswith('blocks'): |
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if 'attn.q.' in k: |
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new_k = k.replace('q.', 'attn.in_proj_') |
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new_v = torch.cat([v, ckpt[k.replace('attn.q.', 'attn.kv.')]], |
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dim=0) |
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elif 'mlp.fc1' in k: |
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new_k = k.replace('mlp.fc1', 'ffn.layers.0.0') |
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elif 'mlp.fc2' in k: |
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new_k = k.replace('mlp.fc2', 'ffn.layers.1') |
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elif args.model == 'pcpvt': |
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if 'attn.proj.' in k: |
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new_k = k.replace('proj.', 'attn.out_proj.') |
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else: |
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new_k = k |
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else: |
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if 'attn.proj.' in k: |
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k_lst = k.split('.') |
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if int(k_lst[2]) % 2 == 1: |
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new_k = k.replace('proj.', 'attn.out_proj.') |
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else: |
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new_k = k |
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else: |
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new_k = k |
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new_k = new_k.replace('blocks.', 'layers.') |
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elif k.startswith('pos_block'): |
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new_k = k.replace('pos_block', 'position_encodings') |
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if 'proj.0.' in new_k: |
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new_k = new_k.replace('proj.0.', 'proj.') |
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else: |
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new_k = k |
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if 'attn.kv.' not in k: |
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new_ckpt[new_k] = new_v |
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return new_ckpt |
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def main(): |
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parser = argparse.ArgumentParser( |
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description='Convert keys in timm pretrained vit models to ' |
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'MMSegmentation style.') |
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parser.add_argument('src', help='src model path or url') |
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parser.add_argument('dst', help='save path') |
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parser.add_argument('model', help='model: pcpvt or svt') |
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args = parser.parse_args() |
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checkpoint = CheckpointLoader.load_checkpoint(args.src, map_location='cpu') |
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if 'state_dict' in checkpoint: |
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state_dict = checkpoint['state_dict'] |
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else: |
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state_dict = checkpoint |
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weight = convert_twins(args, state_dict) |
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mmengine.mkdir_or_exist(osp.dirname(args.dst)) |
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torch.save(weight, args.dst) |
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if __name__ == '__main__': |
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main() |
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