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https://github.com/k2-fsa/icefall.git
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51 lines
1.4 KiB
Python
Executable File
51 lines
1.4 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright 2024 Xiaomi Corp. (authors: Fangjun Kuang)
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#
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# See ../../../../LICENSE for clarification regarding multiple authors
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from tokenizer import Tokenizer
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from train import get_model, get_params
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from vits import VITS
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def test_model_type(model_type):
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tokens = "./data/tokens.txt"
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params = get_params()
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tokenizer = Tokenizer(tokens)
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params.blank_id = tokenizer.pad_id
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params.vocab_size = tokenizer.vocab_size
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params.model_type = model_type
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model = get_model(params)
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generator = model.generator
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num_param = sum([p.numel() for p in generator.parameters()])
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print(
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f"{model_type}: generator parameters: {num_param}, or {num_param/1000/1000} M"
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)
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def main():
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test_model_type("high") # 35.63 M
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test_model_type("low") # 7.55 M
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test_model_type("medium") # 23.61 M
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if __name__ == "__main__":
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main()
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