update int_mm minimal pytorch version #228
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name: Linux examples (CPU, CUDA) | |
on: | |
push: | |
branches: | |
- main | |
paths: | |
- "optimum/quanto/**" | |
- "examples/**" | |
- "pyproject.toml" | |
pull_request: | |
types: [assigned, opened, synchronize, reopened] | |
paths: | |
- "optimum/quanto/**" | |
- "examples/**" | |
- "pyproject.toml" | |
jobs: | |
check-commits: | |
uses: ./.github/workflows/check-commits.yml | |
python-quality: | |
uses: ./.github/workflows/python-quality.yml | |
run-examples: | |
needs: [check-commits, python-quality] | |
runs-on: | |
group: aws-g5-4xlarge-plus | |
strategy: | |
fail-fast: false | |
matrix: | |
device: ["cpu", "cuda"] | |
container: | |
image: pytorch/pytorch:2.4.0-cuda12.1-cudnn9-devel | |
options: --gpus 0 | |
steps: | |
- uses: actions/checkout@v2 | |
- name: Check CUDA installation | |
run: | | |
nvcc -V | |
- name: Build and install packages | |
run: | | |
pip install --upgrade pip | |
pip install -e .[examples] | |
# Run examples | |
- name: Run MNIST classification example | |
run: | | |
for w in int4 int8 float8; do \ | |
for a in none int8 float8; do \ | |
python examples/vision/image-classification/mnist/quantize_mnist_model.py \ | |
--weights $w --activations $a --device ${{ matrix.device }}; \ | |
done; \ | |
done | |
- name: Run OWL detection example | |
run: | | |
for w in int4 int8 float8; do \ | |
python examples/vision/object-detection/quantize_owl_model.py \ | |
--image http://images.cocodataset.org/val2017/000000039769.jpg \ | |
--texts "a photo of a cat" "a remote" \ | |
--weights $w --device ${{ matrix.device }}; \ | |
done | |
- name: Run text-classification example | |
run: | | |
for w in int4 int8; do \ | |
for a in none int8; do \ | |
python examples/nlp/text-classification/sst2/quantize_sst2_model.py \ | |
--weights $w --activations $a --device ${{ matrix.device }}; \ | |
done; \ | |
done | |
- name: Run text-to-image example | |
if: ${{ matrix.device == 'cuda'}} | |
run: | | |
for w in int4 int8 fp8; do \ | |
python examples/vision/text-to-image/quantize_pixart_sigma.py \ | |
--qtype $w --device ${{ matrix.device }}; \ | |
done |