E2E accuracy huggingface, training, float32, LTS, PyTorch #479
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name: E2E accuracy | |
run-name: ${{ inputs.run_name }} | |
on: | |
workflow_dispatch: | |
inputs: | |
pytorch_ref: | |
description: PyTorch ref, keep empty for default | |
type: string | |
default: "" | |
suite: | |
description: Test suite | |
type: choice | |
options: | |
- all | |
- huggingface | |
- timm_models | |
- torchbench | |
default: all | |
mode: | |
description: Inference, inference-no-freezing, or training | |
type: choice | |
options: | |
- all | |
- inference | |
- inference-no-freezing | |
- training | |
default: all | |
dtype: | |
description: Data type | |
type: choice | |
options: | |
- all | |
- amp_bf16 | |
- amp_fp16 | |
- bfloat16 | |
- float16 | |
- float32 | |
default: all | |
models: | |
description: Run all models or a subset from .github/models/performance/{suite}.txt | |
type: choice | |
options: | |
- all | |
- subset | |
default: all | |
check_all_subset_models: | |
description: In "subset" mode, check all subset models | |
type: boolean | |
default: false | |
only_one_model: | |
description: Run only this one model | |
type: string | |
default: "" | |
runner_label: | |
description: Runner label, keep empty for default | |
type: string | |
default: "" | |
TORCH_COMPILE_DEBUG: | |
description: TORCH_COMPILE_DEBUG | |
type: string | |
default: "" | |
run_name: | |
description: Custom run name | |
type: string | |
default: "E2E accuracy" | |
permissions: read-all | |
jobs: | |
setup: | |
name: Setup | |
runs-on: Linux | |
outputs: | |
suite: ${{ steps.set-matrix.outputs.suite }} | |
mode: ${{ steps.set-matrix.outputs.mode }} | |
dtype: ${{ steps.set-matrix.outputs.dtype }} | |
timeout-minutes: 10 | |
steps: | |
- name: Set matrix | |
id: set-matrix | |
run: | | |
if [[ -z "${{ inputs.suite }}" || "${{ inputs.suite }}" == "all" ]]; then | |
suite='["huggingface", "timm_models", "torchbench"]' | |
else | |
suite='["${{ inputs.suite }}"]' | |
fi | |
if [[ -z "${{ inputs.mode }}" || "${{ inputs.mode }}" == "all" ]]; then | |
mode='["inference", "inference-no-freezing", "training"]' | |
else | |
mode='["${{ inputs.mode }}"]' | |
fi | |
if [[ -z "${{ inputs.dtype }}" || "${{ inputs.dtype }}" == "all" ]]; then | |
dtype='["amp_bf16", "amp_fp16", "bfloat16", "float16", "float32"]' | |
else | |
dtype='["${{ inputs.dtype }}"]' | |
fi | |
echo "suite=$suite" >> $GITHUB_OUTPUT | |
echo "mode=$mode" >> $GITHUB_OUTPUT | |
echo "dtype=$dtype" >> $GITHUB_OUTPUT | |
print_inputs: | |
name: Print inputs | |
needs: setup | |
runs-on: Linux | |
steps: | |
- name: Print inputs | |
run: | | |
echo "${{ toJSON(github.event.inputs) }}" | |
- name: Print setup outputs | |
run: | | |
echo "${{ toJSON(needs.setup.outputs) }}" | |
run_tests: | |
name: Run test matrix | |
needs: setup | |
strategy: | |
matrix: | |
suite: ${{ fromJson(needs.setup.outputs.suite) }} | |
mode: ${{ fromJson(needs.setup.outputs.mode) }} | |
dtype: ${{ fromJson(needs.setup.outputs.dtype) }} | |
fail-fast: false | |
uses: ./.github/workflows/e2e-reusable.yml | |
with: | |
pytorch_ref: ${{ inputs.pytorch_ref }} | |
suite: ${{ matrix.suite }} | |
mode: ${{ matrix.mode }} | |
test_mode: accuracy | |
dtype: ${{ matrix.dtype }} | |
models: ${{ inputs.models }} | |
check_all_subset_models: ${{ inputs.check_all_subset_models || false }} | |
only_one_model: ${{ inputs.only_one_model }} | |
runner_label: ${{ inputs.runner_label }} | |
TORCH_COMPILE_DEBUG: ${{ inputs.TORCH_COMPILE_DEBUG }} |