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Fix in non multiGPU training to have history saved in memory, and not on disk by default #5460

Fix in non multiGPU training to have history saved in memory, and not on disk by default

Fix in non multiGPU training to have history saved in memory, and not on disk by default #5460

Workflow file for this run

name: build
on:
push:
branches: [main, "[0-9]+.[0-9]+.x"]
pull_request:
branches: [main, "[0-9]+.[0-9]+.x"]
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
package:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: "3.13"
cache: "pip"
cache-dependency-path: "**/pyproject.toml"
- name: Install build dependencies
run: python -m pip install --upgrade pip wheel twine build
- name: Build package
run: python -m build
- name: Check package
run: twine check --strict dist/*.whl