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https://github.com/huggingface/pytorch-image-models.git
synced 2025-06-03 15:01:08 +08:00
Clean checkpoint renames pth w/ SHA hash in a torch hub compatible way
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@ -2,6 +2,7 @@ import torch
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import argparse
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import argparse
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import os
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import os
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import hashlib
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import hashlib
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import shutil
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from collections import OrderedDict
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from collections import OrderedDict
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parser = argparse.ArgumentParser(description='PyTorch ImageNet Validation')
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parser = argparse.ArgumentParser(description='PyTorch ImageNet Validation')
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@ -30,11 +31,10 @@ def main():
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state_dict_key = 'state_dict_ema' if args.use_ema else 'state_dict'
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state_dict_key = 'state_dict_ema' if args.use_ema else 'state_dict'
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if state_dict_key in checkpoint:
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if state_dict_key in checkpoint:
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state_dict = checkpoint[state_dict_key]
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state_dict = checkpoint[state_dict_key]
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else:
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print("Error: No state_dict found in checkpoint {}.".format(args.checkpoint))
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exit(1)
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else:
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else:
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state_dict = checkpoint
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state_dict = checkpoint
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else:
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assert False
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for k, v in state_dict.items():
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for k, v in state_dict.items():
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name = k[7:] if k.startswith('module') else k
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name = k[7:] if k.startswith('module') else k
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new_state_dict[name] = v
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new_state_dict[name] = v
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@ -43,7 +43,11 @@ def main():
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torch.save(new_state_dict, args.output)
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torch.save(new_state_dict, args.output)
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with open(args.output, 'rb') as f:
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with open(args.output, 'rb') as f:
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sha_hash = hashlib.sha256(f.read()).hexdigest()
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sha_hash = hashlib.sha256(f.read()).hexdigest()
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print("=> Saved state_dict to '{}, SHA256: {}'".format(args.output, sha_hash))
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checkpoint_base = os.path.splitext(args.checkpoint)[0]
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final_filename = '-'.join([checkpoint_base, sha_hash[:8]]) + '.pth'
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shutil.move(args.output, final_filename)
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print("=> Saved state_dict to '{}, SHA256: {}'".format(final_filename, sha_hash))
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else:
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else:
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print("Error: Checkpoint ({}) doesn't exist".format(args.checkpoint))
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print("Error: Checkpoint ({}) doesn't exist".format(args.checkpoint))
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