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Fix tensorboad video slow numpy->torch conversion (#1910) #3045

Fix tensorboad video slow numpy->torch conversion (#1910)

Fix tensorboad video slow numpy->torch conversion (#1910) #3045

Workflow file for this run

# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
name: CI
on:
push:
branches: [ master ]
pull_request:
branches: [ master ]
jobs:
build:
env:
TERM: xterm-256color
FORCE_COLOR: 1
# Skip CI if [ci skip] in the commit message
if: "! contains(toJSON(github.event.commits.*.message), '[ci skip]')"
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ["3.8", "3.9", "3.10", "3.11"]
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
python -m pip install --upgrade pip
# cpu version of pytorch
pip install torch==2.1.0 --index-url https://download.pytorch.org/whl/cpu
# Install Atari Roms
pip install autorom
wget https://gist.githubusercontent.com/jjshoots/61b22aefce4456920ba99f2c36906eda/raw/00046ac3403768bfe45857610a3d333b8e35e026/Roms.tar.gz.b64
base64 Roms.tar.gz.b64 --decode &> Roms.tar.gz
AutoROM --accept-license --source-file Roms.tar.gz
pip install .[extra_no_roms,tests,docs]
# Use headless version
pip install opencv-python-headless
- name: Lint with ruff
run: |
make lint
- name: Build the doc
run: |
make doc
- name: Check codestyle
run: |
make check-codestyle
- name: Type check
run: |
make type
- name: Test with pytest
run: |
make pytest