Files
Model-Optimizer/.github/workflows/gpu_tests.yml
T
Keval Morabia 04cd596d79 Add experimental support for transformers>=5.0 + min torch 2.8 (#975)
### What does this PR do?

- Add experimental support for transformers >=5.0 and remove deprecated
usages:
https://github.com/huggingface/transformers/blob/main/MIGRATION_GUIDE_V5.md
- ⚠️ For accelerate examples that used `--warmup-ratio: float`
(deprecated in 5.x), we now change it to `--warmup-steps: float | int`
which works as ratio if float but only for 5.x. For 4.x, it will error
out if float and prompt user to change back to `--warmup-ratio` or pass
an int absolute step count.
- ⚠️ Unified Hugging Face checkpoint export for quantized checkpoints
may not work for some models with transformers>=5.0 yet as it requires a
lot of fixes (e.g. change in how MoE experts are organized)
- ~Add Workaround for TRT-LLM's import of deprecated transformers
functions so trt-llm based gpu unit tests work fine. Still deployment
for models needs proper fixes directly in TRT-LLM hence llm/vlm ptq
example tests still run with transformers 4.57~
- Everything except PTQ and Export (mainly MoE) should work fine with
transformers>=5.0
- Bump min torch to 2.8 and enable 2.11 cicd testing
- NOTE: Upcoming Nemo:26.04 container comes with transformers 5.3

### Testing
<!-- Mention how have you tested your change if applicable. -->

- [x] CI/CD tests passing
- [x] Manually tested unit tests, gpu tests with transformers 4.56 and
5.4
- [x] Manually tested example tests (except trt-llm container tests)
with transformers 4.56 and 5.4
- [x] 2-gpu nightly CICD tests manually triggered and passing: [gpu
tests](https://github.com/NVIDIA/Model-Optimizer/actions/runs/23867257540),
[example
tests](https://github.com/NVIDIA/Model-Optimizer/actions/runs/23867260643)

### Before your PR is "*Ready for review*"

Make sure you read and follow [Contributor
guidelines](https://github.com/NVIDIA/Model-Optimizer/blob/main/CONTRIBUTING.md)
and your commits are signed (`git commit -s -S`).

Make sure you read and follow the [Security Best
Practices](https://github.com/NVIDIA/Model-Optimizer/blob/main/SECURITY.md#security-coding-practices-for-contributors)
(e.g. avoiding hardcoded `trust_remote_code=True`, using
`torch.load(..., weights_only=True)`, avoiding `pickle`, etc.).

- Is this change backward compatible?: ✅ <!--- If ❌, explain why. -->
- If you copied code from any other source, did you follow IP policy in
[CONTRIBUTING.md](https://github.com/NVIDIA/Model-Optimizer/blob/main/CONTRIBUTING.md#-copying-code-from-other-sources)?:
N/A <!--- Mandatory -->
- Did you write any new necessary tests?: ✅ <!--- Mandatory for new
features or examples. -->
- Did you update
[Changelog](https://github.com/NVIDIA/Model-Optimizer/blob/main/CHANGELOG.rst)?:
✅ <!--- Only for new features, API changes, critical bug fixes or
backward incompatible changes. -->



<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit

* **New Features**
* Make remote-code usage opt-in via a configurable --trust_remote_code
flag across examples and tools.

* **Bug Fixes**
* Improve checkpoint/resume detection and related training guidance to
avoid erroneous errors.

* **Refactor**
* Consolidate dtype/config naming, switch warmup settings from ratio →
steps, and unify tokenizer invocation patterns.

* **Documentation**
  * Simplify changelog title and add misc notes for release 0.44.

* **Chores**
* Remove scheduled PR-branch cleanup workflow and relax/remove several
transformers version pins.

* **Tests**
* Adjust test gates, skips, and structures to align with updated deps
and behaviors.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Signed-off-by: Keval Morabia <28916987+kevalmorabia97@users.noreply.github.com>
2026-04-09 09:59:37 +05:30

120 lines
4.6 KiB
YAML

name: GPU tests
on:
push:
branches: ["pull-request/[0-9]+"]
# NOTE: paths cannot be used since push happens to copied PR and only latest commit to PR is used
schedule:
- cron: "0 0 * * *" # Nightly
workflow_dispatch: # On-demand
# Cancel previous runs if new commit is pushed to the same PR
concurrency:
group: ${{ github.workflow }}-${{ startsWith(github.ref, 'refs/heads/pull-request/') && github.ref || github.sha }}
cancel-in-progress: true
jobs:
check-file-changes:
if: startsWith(github.ref, 'refs/heads/pull-request/')
runs-on: ubuntu-latest
outputs:
any_changed: ${{ steps.changed-tests.outputs.any_changed }}
steps:
- uses: actions/checkout@v6
with:
fetch-depth: 0
- id: get-pr-info
uses: nv-gha-runners/get-pr-info@main
# Get commit from main branch that is present in the PR to use as base for changed files
- id: calculate-merge-base
env:
PR_SHA: ${{ fromJSON(steps.get-pr-info.outputs.pr-info).head.sha }}
BASE_SHA: ${{ fromJSON(steps.get-pr-info.outputs.pr-info).base.sha }}
run: |
(echo -n "merge-base="; git merge-base "$BASE_SHA" "$PR_SHA") | tee --append "${GITHUB_OUTPUT}"
- name: Check for changes in test-relevant directories
id: changed-tests
uses: step-security/changed-files@v46.0.5
with:
base_sha: ${{ steps.calculate-merge-base.outputs.merge-base }}
sha: ${{ fromJSON(steps.get-pr-info.outputs.pr-info).head.sha }}
files: |
.github/workflows/gpu_tests.yml
modelopt/**
tests/gpu/**
pyproject.toml
tox.ini
fail_on_initial_diff_error: true
wait-checks:
needs: [check-file-changes]
if: needs.check-file-changes.outputs.any_changed == 'true'
uses: ./.github/workflows/_wait_for_checks.yml
permissions:
checks: read
secrets: inherit
with:
match_pattern: "^DCO$|^linux$" # Wait for DCO and Unit tests / linux to pass
delay: 300s
gpu-tests-pr:
needs: [check-file-changes, wait-checks]
if: needs.check-file-changes.outputs.any_changed == 'true'
strategy: &gpu_strategy
fail-fast: false
matrix:
include:
- example: gpu
timeout: 45
container_image: pytorch:26.01-py3
# tests/gpu/_extensions/test_onnx_extensions.py fails for newer containers until https://github.com/tbenthompson/cppimport/pull/98
- example: gpu-megatron
timeout: 45
container_image: pytorch:26.01-py3
- example: gpu-trtllm
timeout: 30
container_image: tensorrt-llm/release:1.3.0rc10
runs-on: linux-amd64-gpu-rtxpro6000-latest-1
timeout-minutes: ${{ matrix.timeout }}
container: &gpu_container
image: nvcr.io/nvidia/${{ matrix.container_image }}
env:
GIT_DEPTH: 1000 # For correct version
PIP_CONSTRAINT: "" # Disable pip constraint for upgrading packages
HF_TOKEN: ${{ secrets.HF_TOKEN }}
steps: &gpu_steps
- uses: actions/checkout@v6
- uses: nv-gha-runners/setup-proxy-cache@main
- name: Setup environment variables
run: |
echo "LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/include:/usr/lib/x86_64-linux-gnu" >> $GITHUB_ENV
- name: Run gpu tests
env:
COVERAGE_PROCESS_START: ${{ github.workspace }}/pyproject.toml
COVERAGE_FILE: ${{ github.workspace }}/.coverage
run: |
pip install tox-current-env
COV_ARGS="--cov" tox -e cuda13-${{ matrix.example }} --current-env
- name: Upload GPU coverage to Codecov
uses: codecov/codecov-action@v5
with:
token: ${{ secrets.CODECOV_TOKEN }}
files: coverage.xml
flags: gpu
fail_ci_if_error: false # test may be skipped if relevant file changes are not detected
verbose: true
gpu-tests-non-pr:
if: ${{ !startsWith(github.ref, 'refs/heads/pull-request/') }}
strategy: *gpu_strategy
runs-on: linux-amd64-gpu-rtxpro6000-latest-2
timeout-minutes: ${{ matrix.timeout }}
container: *gpu_container
steps: *gpu_steps
gpu-pr-required-check:
# Run even if gpu-tests-pr is skipped
if: ${{ startsWith(github.ref, 'refs/heads/pull-request/') && always() }}
needs: [check-file-changes, gpu-tests-pr]
runs-on: ubuntu-latest
steps:
- name: Required GPU tests did not succeed
if: ${{ needs.check-file-changes.result != 'success' || (needs.check-file-changes.outputs.any_changed == 'true' && needs.gpu-tests-pr.result != 'success') }}
run: exit 1