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62 lines
1.5 KiB
Python
Executable File
62 lines
1.5 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright 2022 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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"""
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To run this file, do:
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cd icefall/egs/librispeech/ASR
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python ./transducer_lstm/test_encoder.py
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"""
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import torch
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from train import get_encoder_model, get_params
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def test_encoder_model():
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params = get_params()
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params.vocab_size = 500
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params.blank_id = 0
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params.context_size = 2
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encoder = get_encoder_model(params)
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num_param = sum([p.numel() for p in encoder.parameters()])
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print(f"Number of encoder model parameters: {num_param}")
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N = 3
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T = 500
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C = 80
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x = torch.rand(N, T, C)
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x_lens = torch.tensor([100, 500, 300])
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y, y_lens = encoder(x, x_lens)
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print(y.shape)
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expected_y_lens = (((x_lens - 1) >> 1) - 1) >> 1
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assert torch.all(torch.eq(y_lens, expected_y_lens)), (
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y_lens,
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expected_y_lens,
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)
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def main():
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test_encoder_model()
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if __name__ == "__main__":
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main()
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