Commit
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6e1ee26
1
Parent(s):
48d1a6c
Create convert_scan_to_unrolled.py
Browse files- convert_scan_to_unrolled.py +39 -0
convert_scan_to_unrolled.py
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from models.modeling_flax_wav2vec2 import FlaxWav2Vec2ForCTC
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from transformers import AutoConfig, AutoFeatureExtractor, AutoTokenizer
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from flax.traverse_util import flatten_dict, unflatten_dict
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import collections
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model_id = "sanchit-gandhi/flax-wav2vec2-ctc-cv9-baseline-50k"
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config = AutoConfig.from_pretrained(model_id)
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config.use_scan = False
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unrolled_model = FlaxWav2Vec2ForCTC.from_pretrained(model_id, config=config)
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model = FlaxWav2Vec2ForCTC.from_pretrained(model_id)
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def scanned_to_unrolled(params):
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new_params = collections.defaultdict(dict)
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# get the key of a scanned module
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for key, stacked_weights in flatten_dict(params['wav2vec2']['encoder']['layers']['FlaxWav2Vec2EncoderLayers']).items():
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for layer, weights in enumerate(stacked_weights):
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new_key = (str(layer),) + key
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new_params[new_key] = weights
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new_params = unflatten_dict({('wav2vec2', 'encoder', 'layers') : unflatten_dict(new_params)})
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new_params = flatten_dict(new_params)
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# append parameters for non-scanned modules (i.e. all modules that do not contain the key 'layers')
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for k in flatten_dict(params):
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if 'layers' not in k or 'adapter' in k:
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new_params[k] = flatten_dict(params)[k]
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return unflatten_dict(new_params)
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unrolled_model.params = scanned_to_unrolled(model.params)
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unrolled_model.save_pretrained("./")
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feature_extractor = AutoFeatureExtractor.from_pretrained(model_id)
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feature_extractor.save_pretrained("./")
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tokenizer = AutoTokenizer.from_pretrained("patrickvonplaten/wav2vec2_ctc_cv9_tokenizer")
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tokenizer.save_pretrained("./")
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