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Bump required Python 3.7 -> 3.8, drop TF1 support #5913

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Bump required Python 3.7 -> 3.8, drop TF1 support

Bump required Python 3.7 -> 3.8, drop TF1 support #5913

Workflow file for this run

.github/workflows/main.yml at 51cf455
name: CI
on:
push:
branches:
- master
- main
pull_request:
workflow_dispatch:
jobs:
pycharm-inspect:
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version:
- "3.10"
torch-version:
# Some code uses newer features.
- 2.0.0
tf-version:
- 2.10.0
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Cache dependencies
uses: actions/cache@v4
with:
path: |
~/.cache
~/.local
key: cache-${{ runner.os }}-py${{ matrix.python-version }}-torch${{ matrix.torch-version }}-tf${{ matrix.tf-version }}
restore-keys: |
cache-${{ runner.os }}-py${{ matrix.python-version }}-
- name: Setup dependencies
run: |
echo "PATH=$PATH:~/.local/bin" >> $GITHUB_ENV
echo "Python ${{matrix.python-version}}"
echo "pip: $(type pip)"
pip install --user --upgrade pip setuptools wheel
pip install --user typing # needed for Python 2 in some cases
pip install --user pytest
pip install --user dm-tree h5py typing
pip install --user --progress-bar=off "numpy<2"
pip install --user --progress-bar=off scipy # for some tests
pip install --user --upgrade --progress-bar=off torch==${{ matrix.torch-version }}
# Retry several times in case download breaks. https://github.com/pypa/pip/issues/4796
for ((i=0; i<3; i++)); do
if pip install --user --upgrade --progress-bar=off tensorflow==${{ matrix.tf-version }}; then break; fi
done
# Used in some tests.
pip install --user --progress-bar=off transformers
pip install --user --progress-bar=off espnet
- name: Test Python/Numpy/TF versions.
run: |
echo "Python env: $(type python) $(python --version)"
python -c "import numpy; print('NumPy:', numpy.version.full_version)"
python -c "import torch; print('PyTorch:', torch.__version__, torch.__file__)"
# torch.__version__ is for example "1.13.1+cu117"
python -c "import torch; assert (torch.__version__ + '+').startswith('${{ matrix.torch-version }}+')"
python -c "import tensorflow as tf; print('TensorFlow:', tf.__git_version__, tf.__version__, tf.__file__)"
python -c "import tensorflow as tf; assert tf.__version__ == '${{ matrix.tf-version }}'"
- name: Cache PyCharm
uses: actions/cache@v4
with:
path: |
~/.cache/JetBrains
key: cache-pycharm-${{ runner.os }}-py${{ matrix.python-version }}-torch${{ matrix.torch-version }}-tf${{ matrix.tf-version }}
- name: Run PyCharm inspect
run: |
tests/pycharm-inspect.py
base-tests:
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version:
- 3.8
action:
- TEST=Dataset
- TEST=fork_exec
- TEST=GeneratingDataset
- TEST=hdf_dump
- TEST=HDFDataset
- TEST=LearningRateControl
- TEST=MultiProcDataset
- TEST=Pretrain
- TEST=SprintDataset
- TEST=TaskSystem
- TEST=TaskSystem_SharedMem
- TEST=tensor
- TEST=TranslationDataset
- TEST=Util
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Cache dependencies
uses: actions/cache@v4
with:
path: |
~/.cache
~/.local
key: cache-${{ runner.os }}-py${{ matrix.python-version }}-no-tf
restore-keys: |
cache-${{ runner.os }}-py${{ matrix.python-version }}-
- name: Setup dependencies
run: |
echo "PATH=$PATH:~/.local/bin" >> $GITHUB_ENV
echo "Python ${{matrix.python-version}}"
echo "pip: $(type pip)"
pip install --user --upgrade pip setuptools wheel
pip install --user typing # needed for Python 2 in some cases
pip install --user pytest
pip install --user --progress-bar=off -r requirements.txt
- name: Test Python/Numpy/TF versions.
run: |
echo "Python env: $(type python) $(python --version)"
python -c "import numpy; print('NumPy:', numpy.version.full_version)"
echo "Pytest env:"
python -m pytest -V
- name: Run test
run: |
export ${{ matrix.action }}
python -m pytest tests/test_$TEST.py
tf-tests:
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version:
- 3.8
tf-version:
- 2.10.0
action:
- TEST=Config
- TEST=Fsa
- TEST=Log
- TEST=SprintInterface
- TEST=TFEngine
- TEST=TFNativeOp
- TEST=TFNetworkLayer
- TEST=TFNetworkRecLayer
- TEST=TFUpdater
- TEST=TFUtil
- TEST=tools
include:
- action: TEST=TFEngine
python-version: 3.8
tf-version: 2.3.0
- action: TEST=demos RETURNN_DISABLE_TORCH=1
python-version: 3.8
tf-version: 2.3.0
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Cache dependencies
uses: actions/cache@v4
with:
path: |
~/.cache
~/.local
key: cache-${{ runner.os }}-py${{ matrix.python-version }}-tf${{ matrix.tf-version }}
restore-keys: |
cache-${{ runner.os }}-py${{ matrix.python-version }}-
- name: Setup dependencies
run: |
echo "PATH=$PATH:~/.local/bin" >> $GITHUB_ENV
echo "Python ${{matrix.python-version}}"
echo "pip: $(type pip)"
pip install --user --upgrade pip setuptools wheel
pip install --user typing # needed for Python 2 in some cases
pip install --user pytest
if [[ "${{matrix.tf-version}}" == 2.[0123].* ]]; then
# Older TF needs older NumPy version.
# https://github.com/rwth-i6/returnn/pull/1160#issuecomment-1284537803
pip install --user numpy==1.19.5
# Older TF needs also older protobuf version.
# https://github.com/rwth-i6/returnn/issues/1209
pip install --user "protobuf<=3.20.1"
fi
if [[ "${{matrix.tf-version}}" == 2.10.* ]]; then
# TF 2.10 requires gast<=0.4.0,>=0.2.1. But for example, with gast 0.2.2, we get some AutoGraph error:
# Cause: module 'gast' has no attribute 'Constant'
# Similar like: https://github.com/tensorflow/tensorflow/issues/47802
pip install --user --upgrade "gast<=0.4.0"
fi
pip install --user --progress-bar=off -r requirements.txt
pip install --user --progress-bar=off scipy # for some tests
pip install --user --upgrade --progress-bar=off tensorflow==${{ matrix.tf-version }}
- name: Test Python/Numpy/TF versions.
run: |
echo "Python env: $(type python) $(python --version)"
python -c "import numpy; print('NumPy:', numpy.version.full_version)"
python -c "import tensorflow as tf; print('TensorFlow:', tf.__git_version__, tf.__version__, tf.__file__)"
python -c "import tensorflow as tf; assert tf.__version__ == '${{ matrix.tf-version }}'"
echo "Pytest env:"
python -m pytest -V
- name: Run test
run: |
export ${{ matrix.action }}
python -m pytest tests/test_$TEST.py
torch-tests:
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version:
- "3.10"
torch-version:
- 1.13.1
- 2.0.0
action:
- TEST=demos RETURNN_DISABLE_TF=1
- TEST=torch_dataset
- TEST=torch_engine
- TEST=torch_frontend
- TEST=torch_internal_frontend
- TEST=torch_util
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Cache dependencies
uses: actions/cache@v4
with:
path: |
~/.cache
~/.local
key: cache-${{ runner.os }}-py${{ matrix.python-version }}-torch${{ matrix.torch-version }}
restore-keys: |
cache-${{ runner.os }}-py${{ matrix.python-version }}-
- name: Setup dependencies
run: |
echo "PATH=$PATH:~/.local/bin" >> $GITHUB_ENV
echo "Python ${{matrix.python-version}}"
echo "pip: $(type pip)"
pip install --user --upgrade pip setuptools wheel
pip install --user typing # needed for Python 2 in some cases
pip install --user pytest
pip install --user dm-tree h5py typing
pip install --user --progress-bar=off "numpy<2"
pip install --user --progress-bar=off scipy # for some tests
pip install --user --upgrade --progress-bar=off torch==${{ matrix.torch-version }}
pip install --user --progress-bar=off onnx onnxruntime
pip install --user --progress-bar=off lovely_tensors
- name: Test Python/Numpy/PyTorch versions.
run: |
echo "Python env: $(type python) $(python --version)"
python -c "import numpy; print('NumPy:', numpy.version.full_version)"
python -c "import torch; print('PyTorch:', torch.__version__, torch.__file__)"
# torch.__version__ is for example "1.13.1+cu117"
python -c "import torch; assert (torch.__version__ + '+').startswith('${{ matrix.torch-version }}+')"
echo "Pytest env:"
python -m pytest -V
- name: Run test
run: |
export ${{ matrix.action }}
python -m pytest tests/test_$TEST.py
rf-tests:
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version:
- "3.10"
torch-version:
- 2.0.0
tf-version:
- 2.10.0
action:
- TEST=rf_array
- TEST=rf_attention
- TEST=rf_base
- TEST=rf_cond
- TEST=rf_const
- TEST=rf_container
- TEST=rf_conv
- TEST=rf_decoder_transformer
- TEST=rf_encoder_conformer
- TEST=rf_gradient
- TEST=rf_label_smoothing
- TEST=rf_loop
- TEST=rf_math
- TEST=rf_normalization
- TEST=rf_piecewise_linear
- TEST=rf_rec
- TEST=rf_reduce
- TEST=rf_signal
include:
# Some selected tests (but not all) with some other versions.
- action: TEST=rf_base
python-version: 3.8
torch-version: 1.13.1
tf-version: 2.10.0
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Cache dependencies
uses: actions/cache@v4
with:
path: |
~/.cache
~/.local
key: cache-${{ runner.os }}-py${{ matrix.python-version }}-torch${{ matrix.torch-version }}-tf${{ matrix.tf-version }}
restore-keys: |
cache-${{ runner.os }}-py${{ matrix.python-version }}-
- name: Setup dependencies
run: |
echo "PATH=$PATH:~/.local/bin" >> $GITHUB_ENV
echo "Python ${{matrix.python-version}}"
echo "pip: $(type pip)"
pip install --user --upgrade pip setuptools wheel
pip install --user typing # needed for Python 2 in some cases
pip install --user pytest
pip install --user dm-tree h5py typing
pip install --user --progress-bar=off "numpy<2"
pip install --user --progress-bar=off scipy # for some tests
pip install --user --upgrade torch==${{ matrix.torch-version }}
pip install --user --progress-bar=off lovely_tensors
if [[ "${{matrix.tf-version}}" == 2.10.* ]]; then
# TF 2.10 requires gast<=0.4.0,>=0.2.1. But for example, with gast 0.2.2, we get some AutoGraph error:
# Cause: module 'gast' has no attribute 'Constant'
# Similar like: https://github.com/tensorflow/tensorflow/issues/47802
pip install --user --upgrade "gast<=0.4.0"
fi
# Retry several times in case download breaks. https://github.com/pypa/pip/issues/4796
for ((i=0; i<3; i++)); do
if pip install --user --upgrade --progress-bar=off tensorflow==${{ matrix.tf-version }}; then break; fi
done
# Needed for some tests.
pip install --user --progress-bar=off transformers
pip install --user --progress-bar=off espnet
# TorchAudio needed by ESPnet.
# https://pytorch.org/audio/stable/installation.html#compatibility-matrix
if [[ "${{matrix.torch-version}}" == 2.0.0 ]]; then
pip install --user --progress-bar=off torchaudio==2.0.1
elif [[ "${{matrix.torch-version}}" == 1.13.1 ]]; then
pip install --user --progress-bar=off torchaudio==0.13.1
else
pip install --user --progress-bar=off torchaudio==${{matrix.torch-version}}
fi
- name: Test Python/Numpy/PyTorch versions.
run: |
echo "Python env: $(type python) $(python --version)"
python -c "import numpy; print('NumPy:', numpy.version.full_version)"
python -c "import torch; print('PyTorch:', torch.__version__, torch.__file__)"
# torch.__version__ is for example "1.13.1+cu117"
python -c "import torch; assert (torch.__version__ + '+').startswith('${{ matrix.torch-version }}+')"
python -c "import tensorflow as tf; print('TensorFlow:', tf.__git_version__, tf.__version__, tf.__file__)"
python -c "import tensorflow as tf; assert tf.__version__ == '${{ matrix.tf-version }}'"
echo "Pytest env:"
python -m pytest -V
- name: Run test
run: |
export ${{ matrix.action }}
python -m pytest tests/test_$TEST.py