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axolotl/cicd/cicd.sh
Wing Lian cada93cee5 upgrade transformers==5.3.0 trl==0.29.0 kernels (#3459)
* upgrade transformers==5.3.0 trl==0.29.0 kernels

* use latest deepspeed fixes

* use corect image for cleanup

* fix test outputs for tokenizer fixes upstream

* fix import:

* keep trl at 0.28.0

* handle updated API

* use latest trl since 0.28.0 doesn't work with latest transformers

* use trl experimental for pad to length

* monkeypatch trl with ORPOTrainer so liger doesn't croak

* upgrade accelerate

* more fixes

* move patch for orpotrainer

* load the imports later

* remove use_logits_to_keep

* fix loss_type arg as a list

* fetch hf cache from s3

* just manually download the missing model for now

* lint for pre-commit update

* a few more missing models on disk

* fix: loss_type internally now list

* fix: remove deprecated code and raise deprecate

* fix: remove unneeded blocklist

* fix: remove reliance on transformers api to find package available

* chore: refactor shim for less sideeffect

* fix: silent trl experimental warning

---------

Co-authored-by: NanoCode012 <nano@axolotl.ai>
2026-03-06 09:11:20 -05:00

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#!/bin/bash
set -e
python -c "import torch; assert '$PYTORCH_VERSION' in torch.__version__"
# curl -L https://axolotl-ci.b-cdn.net/hf-cache.tar.zst | tar -xpf - -C "${HF_HOME}/hub/" --use-compress-program unzstd --strip-components=1
hf download "NousResearch/Meta-Llama-3-8B"
hf download "NousResearch/Meta-Llama-3-8B-Instruct"
hf download "microsoft/Phi-4-reasoning"
hf download "microsoft/Phi-3.5-mini-instruct"
# Run unit tests with initial coverage report
pytest -v --durations=10 -n8 \
--ignore=tests/e2e/ \
--ignore=tests/patched/ \
--ignore=tests/cli \
/workspace/axolotl/tests/ \
--cov=axolotl
# Run lora kernels tests with coverage append
pytest -v --durations=10 \
/workspace/axolotl/tests/e2e/patched/lora_kernels \
--cov=axolotl \
--cov-append
# Run patched tests excluding lora kernels with coverage append
pytest --full-trace -vvv --durations=10 \
--ignore=tests/e2e/patched/lora_kernels \
/workspace/axolotl/tests/e2e/patched \
--cov=axolotl \
--cov-append
# Run solo tests with coverage append
pytest -v --durations=10 -n1 \
/workspace/axolotl/tests/e2e/solo/ \
--cov=axolotl \
--cov-append
# Run integration tests with coverage append
pytest -v --durations=10 \
/workspace/axolotl/tests/e2e/integrations/ \
--cov=axolotl \
--cov-append
pytest -v --durations=10 /workspace/axolotl/tests/cli \
--cov=axolotl \
--cov-append
# Run remaining e2e tests with coverage append and final report
pytest -v --durations=10 \
--ignore=tests/e2e/solo/ \
--ignore=tests/e2e/patched/ \
--ignore=tests/e2e/multigpu/ \
--ignore=tests/e2e/integrations/ \
--ignore=tests/cli \
/workspace/axolotl/tests/e2e/ \
--cov=axolotl \
--cov-append \
--cov-report=xml:e2e-coverage.xml
codecov upload-process -t $CODECOV_TOKEN -f e2e-coverage.xml -F e2e,pytorch-${PYTORCH_VERSION} || true