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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_swin(ckpt): |
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new_ckpt = OrderedDict() |
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def correct_unfold_reduction_order(x): |
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out_channel, in_channel = x.shape |
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x = x.reshape(out_channel, 4, in_channel // 4) |
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x = x[:, [0, 2, 1, 3], :].transpose(1, |
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2).reshape(out_channel, in_channel) |
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return x |
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def correct_unfold_norm_order(x): |
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in_channel = x.shape[0] |
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x = x.reshape(4, in_channel // 4) |
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x = x[[0, 2, 1, 3], :].transpose(0, 1).reshape(in_channel) |
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return x |
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for k, v in ckpt.items(): |
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if k.startswith('head'): |
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continue |
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elif k.startswith('layers'): |
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new_v = v |
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if 'attn.' in k: |
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new_k = k.replace('attn.', 'attn.w_msa.') |
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elif 'mlp.' in k: |
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if '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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else: |
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new_k = k.replace('mlp.', 'ffn.') |
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elif 'downsample' in k: |
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new_k = k |
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if 'reduction.' in k: |
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new_v = correct_unfold_reduction_order(v) |
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elif 'norm.' in k: |
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new_v = correct_unfold_norm_order(v) |
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else: |
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new_k = k |
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new_k = new_k.replace('layers', 'stages', 1) |
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elif k.startswith('patch_embed'): |
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new_v = v |
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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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else: |
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new_v = v |
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new_k = 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 official pretrained swin 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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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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elif 'model' in checkpoint: |
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state_dict = checkpoint['model'] |
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else: |
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state_dict = checkpoint |
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weight = convert_swin(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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