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https://github.com/k2-fsa/icefall.git
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Fix decode.py to remove the correct axis. (#50)
* Fix decode.py to remove the correct axis. * Run GitHub actions manually.
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10
.github/workflows/run-yesno-recipe.yml
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10
.github/workflows/run-yesno-recipe.yml
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@ -21,11 +21,11 @@ on:
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branches:
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branches:
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- master
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- master
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pull_request:
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pull_request:
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branches:
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types: [labeled]
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- master
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jobs:
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jobs:
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run-yesno-recipe:
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run-yesno-recipe:
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if: github.event.label.name == 'ready' || github.event_name == 'push'
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runs-on: ${{ matrix.os }}
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runs-on: ${{ matrix.os }}
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strategy:
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strategy:
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matrix:
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matrix:
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@ -33,6 +33,8 @@ jobs:
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# TODO: enable macOS for CPU testing
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# TODO: enable macOS for CPU testing
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os: [ubuntu-18.04]
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os: [ubuntu-18.04]
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python-version: [3.8]
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python-version: [3.8]
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torch: ["1.8.1"]
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k2-version: ["1.8.dev20210917"]
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fail-fast: false
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fail-fast: false
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steps:
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steps:
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@ -54,10 +56,8 @@ jobs:
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- name: Install Python dependencies
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- name: Install Python dependencies
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run: |
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run: |
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python3 -m pip install --upgrade pip black flake8
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python3 -m pip install -U pip
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python3 -m pip install -U pip
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python3 -m pip install k2==1.7.dev20210914+cpu.torch1.7.1 -f https://k2-fsa.org/nightly/
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pip install k2==${{ matrix.k2-version }}+cpu.torch${{ matrix.torch }} -f https://k2-fsa.org/nightly/
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python3 -m pip install torchaudio==0.7.2
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python3 -m pip install git+https://github.com/lhotse-speech/lhotse
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python3 -m pip install git+https://github.com/lhotse-speech/lhotse
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# We are in ./icefall and there is a file: requirements.txt in it
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# We are in ./icefall and there is a file: requirements.txt in it
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6
.github/workflows/test.yml
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6
.github/workflows/test.yml
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@ -21,18 +21,18 @@ on:
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branches:
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branches:
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- master
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- master
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pull_request:
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pull_request:
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branches:
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types: [labeled]
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- master
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jobs:
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jobs:
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test:
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test:
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if: github.event.label.name == 'ready' || github.event_name == 'push'
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runs-on: ${{ matrix.os }}
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runs-on: ${{ matrix.os }}
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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, macos-10.15]
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os: [ubuntu-18.04, macos-10.15]
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python-version: [3.6, 3.7, 3.8, 3.9]
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python-version: [3.6, 3.7, 3.8, 3.9]
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torch: ["1.8.1"]
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torch: ["1.8.1"]
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k2-version: ["1.7.dev20210914"]
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k2-version: ["1.8.dev20210917"]
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fail-fast: false
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fail-fast: false
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@ -222,7 +222,7 @@ def nbest_decoding(
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word_seq = k2.ragged.index(lattice.aux_labels, path)
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word_seq = k2.ragged.index(lattice.aux_labels, path)
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else:
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else:
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word_seq = lattice.aux_labels.index(path)
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word_seq = lattice.aux_labels.index(path)
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word_seq = word_seq.remove_axis(1)
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word_seq = word_seq.remove_axis(word_seq.num_axes - 2)
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# Remove 0 (epsilon) and -1 from word_seq
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# Remove 0 (epsilon) and -1 from word_seq
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word_seq = word_seq.remove_values_leq(0)
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word_seq = word_seq.remove_values_leq(0)
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@ -432,7 +432,7 @@ def rescore_with_n_best_list(
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word_seq = k2.ragged.index(lattice.aux_labels, path)
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word_seq = k2.ragged.index(lattice.aux_labels, path)
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else:
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else:
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word_seq = lattice.aux_labels.index(path)
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word_seq = lattice.aux_labels.index(path)
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word_seq = word_seq.remove_axis(1)
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word_seq = word_seq.remove_axis(word_seq.num_axes - 2)
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# Remove epsilons and -1 from word_seq
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# Remove epsilons and -1 from word_seq
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word_seq = word_seq.remove_values_leq(0)
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word_seq = word_seq.remove_values_leq(0)
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@ -669,7 +669,7 @@ def nbest_oracle(
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word_seq = k2.ragged.index(lattice.aux_labels, path)
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word_seq = k2.ragged.index(lattice.aux_labels, path)
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else:
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else:
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word_seq = lattice.aux_labels.index(path)
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word_seq = lattice.aux_labels.index(path)
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word_seq = word_seq.remove_axis(1)
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word_seq = word_seq.remove_axis(word_seq.num_axes - 2)
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word_seq = word_seq.remove_values_leq(0)
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word_seq = word_seq.remove_values_leq(0)
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unique_word_seq, _, _ = word_seq.unique(
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unique_word_seq, _, _ = word_seq.unique(
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@ -761,7 +761,7 @@ def rescore_with_attention_decoder(
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word_seq = k2.ragged.index(lattice.aux_labels, path)
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word_seq = k2.ragged.index(lattice.aux_labels, path)
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else:
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else:
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word_seq = lattice.aux_labels.index(path)
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word_seq = lattice.aux_labels.index(path)
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word_seq = word_seq.remove_axis(1)
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word_seq = word_seq.remove_axis(word_seq.num_axes - 2)
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# Remove epsilons and -1 from word_seq
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# Remove epsilons and -1 from word_seq
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word_seq = word_seq.remove_values_leq(0)
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word_seq = word_seq.remove_values_leq(0)
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@ -815,7 +815,7 @@ def rescore_with_attention_decoder(
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token_seq = k2.ragged.index(lattice.tokens, path)
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token_seq = k2.ragged.index(lattice.tokens, path)
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else:
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else:
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token_seq = lattice.tokens.index(path)
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token_seq = lattice.tokens.index(path)
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token_seq = token_seq.remove_axis(1)
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token_seq = token_seq.remove_axis(token_seq.num_axes - 2)
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# Remove epsilons and -1 from token_seq
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# Remove epsilons and -1 from token_seq
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token_seq = token_seq.remove_values_leq(0)
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token_seq = token_seq.remove_values_leq(0)
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