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- Added CHiME-4 dataset integration in asr_datamodule.py - Added Hugging Face upload script - Added RIR augmentation - Added Self-Distillation Training
19 lines
458 B
Python
Executable File
19 lines
458 B
Python
Executable File
# simple script to convert a fairseq checkpoint into pytorch parameter state dict
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from argparse import ArgumentParser
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from collections import OrderedDict
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import torch
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parser = ArgumentParser()
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parser.add_argument("--src")
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parser.add_argument("--tgt")
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args = parser.parse_args()
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src = args.src
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tgt = args.tgt
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old_checkpoint = torch.load(src)
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new_checkpoint = OrderedDict()
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new_checkpoint["model"] = old_checkpoint["model"]
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torch.save(new_checkpoint, tgt)
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