| #!/usr/bin/env python3 | |
| # Copyright 2021 Xiaomi Corp. (authors: Fangjun Kuang) | |
| # | |
| # See ../../../../LICENSE for clarification regarding multiple authors | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| """ | |
| To run this file, do: | |
| cd icefall/egs/aishell/ASR | |
| python ./transducer_stateless/test_decoder.py | |
| """ | |
| import torch | |
| from decoder import Decoder | |
| def test_decoder(): | |
| vocab_size = 3 | |
| blank_id = 0 | |
| embedding_dim = 128 | |
| context_size = 4 | |
| decoder = Decoder( | |
| vocab_size=vocab_size, | |
| embedding_dim=embedding_dim, | |
| blank_id=blank_id, | |
| context_size=context_size, | |
| ) | |
| N = 100 | |
| U = 20 | |
| x = torch.randint(low=0, high=vocab_size, size=(N, U)) | |
| y = decoder(x) | |
| assert y.shape == (N, U, embedding_dim) | |
| # for inference | |
| x = torch.randint(low=0, high=vocab_size, size=(N, context_size)) | |
| y = decoder(x, need_pad=False) | |
| assert y.shape == (N, 1, embedding_dim) | |
| def main(): | |
| test_decoder() | |
| if __name__ == "__main__": | |
| main() | |