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Fix a bug of forward-mode AD when multi-output is needed #1362

Fix a bug of forward-mode AD when multi-output is needed

Fix a bug of forward-mode AD when multi-output is needed #1362

Workflow file for this run

name: build
on:
pull_request:
push:
branches:
- master
workflow_dispatch:
concurrency:
# Skip intermediate builds: always.
# Cancel intermediate builds: only if it is a pull request build.
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: ${{ startsWith(github.ref, 'refs/pull/') }}
jobs:
import:
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
python-version: ["3.9", "3.10", "3.11"]
os: [ubuntu-latest, macos-latest, windows-latest]
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Install DeepXDE with requirements
run: python -m pip install -e .
- name: List environment
run: python -m pip freeze
- name: Test build with TensorFlow v1
env:
DDE_BACKEND: tensorflow.compat.v1
run: |
python -m pip install tensorflow
python -c "import deepxde"
- name: Test build with TensorFlow
env:
DDE_BACKEND: tensorflow
run: |
python -m pip install tensorflow-probability[tf]
python -c "import deepxde"
- name: Test build with PyTorch
env:
DDE_BACKEND: pytorch
run: |
python -m pip install torch
python -c "import deepxde"
- name: Test build with Jax
if: matrix.os != 'windows-latest' # jaxlib is not available on windows
env:
DDE_BACKEND: jax
run: |
python -m pip install jax flax optax
python -c "import deepxde"
- name: Test build with Paddle
env:
DDE_BACKEND: paddle
run: |
python -m pip install paddlepaddle==2.6.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
python -c "import deepxde"