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https://github.com/k2-fsa/icefall.git
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Fix CI errors.
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parent
fbc1bc3a6b
commit
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2
.github/workflows/run-pretrained.yml
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2
.github/workflows/run-pretrained.yml
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@ -30,7 +30,7 @@ jobs:
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strategy:
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strategy:
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matrix:
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matrix:
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os: [ubuntu-18.04]
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os: [ubuntu-18.04]
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python-version: [3.6, 3.7, 3.8, 3.9]
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python-version: [3.7, 3.8, 3.9]
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torch: ["1.10.0"]
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torch: ["1.10.0"]
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torchaudio: ["0.10.0"]
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torchaudio: ["0.10.0"]
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k2-version: ["1.9.dev20211101"]
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k2-version: ["1.9.dev20211101"]
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14
.github/workflows/test.yml
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14
.github/workflows/test.yml
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@ -32,7 +32,7 @@ jobs:
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# os: [ubuntu-18.04, macos-10.15]
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# os: [ubuntu-18.04, macos-10.15]
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# disable macOS test for now.
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# disable macOS test for now.
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os: [ubuntu-18.04]
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os: [ubuntu-18.04]
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python-version: [3.6, 3.7, 3.8, 3.9]
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python-version: [3.7, 3.8]
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torch: ["1.8.0", "1.10.0"]
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torch: ["1.8.0", "1.10.0"]
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torchaudio: ["0.8.0", "0.10.0"]
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torchaudio: ["0.8.0", "0.10.0"]
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k2-version: ["1.9.dev20211101"]
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k2-version: ["1.9.dev20211101"]
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@ -106,6 +106,12 @@ jobs:
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if [[ ${{ matrix.torchaudio }} == "0.10.0" ]]; then
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if [[ ${{ matrix.torchaudio }} == "0.10.0" ]]; then
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cd ../transducer
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cd ../transducer
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pytest -v -s
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pytest -v -s
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cd ../transducer_stateless
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pytest -v -s
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cd ../transducer_lstm
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pytest -v -s
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fi
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fi
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- name: Run tests
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- name: Run tests
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@ -125,4 +131,10 @@ jobs:
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if [[ ${{ matrix.torchaudio }} == "0.10.0" ]]; then
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if [[ ${{ matrix.torchaudio }} == "0.10.0" ]]; then
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cd ../transducer
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cd ../transducer
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pytest -v -s
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pytest -v -s
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cd ../transducer_stateless
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pytest -v -s
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cd ../transducer_lstm
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pytest -v -s
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fi
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fi
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@ -13,5 +13,4 @@ The following table lists the differences among them.
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|------------------------|-----------|--------------------|
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|------------------------|-----------|--------------------|
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| `transducer` | Conformer | LSTM |
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| `transducer` | Conformer | LSTM |
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| `transducer_stateless` | Conformer | Conv1d + Embedding |
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| `transducer_stateless` | Conformer | Conv1d + Embedding |
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| `transducer_lstm ` | LSTM | LSTM |
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@ -23,8 +23,6 @@ To run this file, do:
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"""
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"""
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import torch
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import torch
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import torch.nn as nn
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import torch.nn.functional as F
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from decoder import Decoder
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from decoder import Decoder
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