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Python 3.11 (#1171)

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* python 3.11

* python 3.11

* fix

* fix

* fix

* revert changes

* Update requirements.txt

* Trying pip3 install instead

* Excluding cp39 - torch 1.10.2

* Removing 1.10.2 from test

---------

Co-authored-by: Jong Wook Kim <jongwook@openai.com>
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Johnny 2023-05-04 19:42:09 +02:00 committed by GitHub
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13
.github/workflows/test.yml vendored
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@ -11,15 +11,16 @@ jobs:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ['3.8', '3.9', '3.10']
pytorch-version: [1.10.2, 1.13.1]
python-version: ['3.8', '3.9', '3.10', '3.11']
pytorch-version: [1.13.1, 2.0.0]
exclude:
- python-version: '3.10'
pytorch-version: 1.10.2
- python-version: '3.11'
pytorch-version: 1.13.1
steps:
- uses: conda-incubator/setup-miniconda@v2
- run: conda install -n test ffmpeg python=${{ matrix.python-version }} pytorch=${{ matrix.pytorch-version }} cpuonly -c pytorch
- uses: actions/checkout@v2
- run: conda install -n test ffmpeg python=${{ matrix.python-version }}
- run: pip3 install torch==${{ matrix.pytorch-version }}+cpu --index-url https://download.pytorch.org/whl/cpu
- uses: actions/checkout@v3
- run: echo "$CONDA/envs/test/bin" >> $GITHUB_PATH
- run: pip install .["dev"]
- run: black --check --diff -t py38 --include '(\.pyi?)$' .

4
README.md
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@ -17,7 +17,9 @@ A Transformer sequence-to-sequence model is trained on various speech processing
## Setup
We used Python 3.9.9 and [PyTorch](https://pytorch.org/) 1.10.1 to train and test our models, but the codebase is expected to be compatible with Python 3.8-3.10 and recent PyTorch versions. The codebase also depends on a few Python packages, most notably [OpenAI's tiktoken](https://github.com/openai/tiktoken) for their fast tokenizer implementation and [ffmpeg-python](https://github.com/kkroening/ffmpeg-python) for reading audio files. You can download and install (or update to) the latest release of Whisper with the following command:
We used Python 3.9.9 and [PyTorch](https://pytorch.org/) 1.10.1 to train and test our models, but the codebase is expected to be compatible with Python 3.8-3.11 and recent PyTorch versions. The codebase also depends on a few Python packages, most notably [OpenAI's tiktoken](https://github.com/openai/tiktoken) for their fast tokenizer implementation and [ffmpeg-python](https://github.com/kkroening/ffmpeg-python) for reading audio files. You can download and install (or update to) the latest release of Whisper with the following command:
pip install -U openai-whisper

2
requirements.txt
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@ -3,5 +3,5 @@ numpy
torch
tqdm
more-itertools
tiktoken==0.3.1
tiktoken==0.3.3
ffmpeg-python==0.2.0