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Add qnn 16a16w quantization test #7039

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Nov 23, 2024
Merged

Add qnn 16a16w quantization test #7039

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8 changes: 8 additions & 0 deletions .ci/scripts/test_llama.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -27,6 +27,10 @@ while [[ $# -gt 0 ]]; do
MODE="$2" # portable or xnnpack+custom or xnnpack+custom+qe
shift 2
;;
-pt2e_quantize)
PT2E_QUANTIZE="$2"
shift 2
;;
-upload)
UPLOAD_DIR="$2"
shift 2
Expand Down Expand Up @@ -234,6 +238,10 @@ if [[ "${COREML}" == "ON" ]]; then
fi
if [[ "${QNN}" == "ON" ]]; then
EXPORT_ARGS="${EXPORT_ARGS} -kv -v --qnn --disable_dynamic_shape"
echo "PT2E_QUANTIZE is ${PT2E_QUANTIZE}"
if [[ "${PT2E_QUANTIZE}" == "qnn_16a16w" ]]; then
EXPORT_ARGS+=" --tokenizer_path tokenizer.model --pt2e_quantize qnn_16a16w --calibration_tasks wikitext --calibration_limit 1 --calibration_seq_length 128 --calibration_data Once "
fi
fi
# Add dynamically linked library location
$PYTHON_EXECUTABLE -m examples.models.llama.export_llama ${EXPORT_ARGS}
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36 changes: 36 additions & 0 deletions .github/workflows/trunk.yml
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Expand Up @@ -441,3 +441,39 @@ jobs:

cmake-out/examples/models/llama/llama_main --model_path=${ET_MODEL_NAME}.pte --tokenizer_path=${TOKENIZER_BIN_FILE} --prompt="My name is"
echo "::endgroup::"


test-llama-runner-qnn-linux:
name: test-llama-runner-qnn-linux
uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
strategy:
matrix:
dtype: [fp32]
pt2e_quantize: [qnn_16a16w, qnn_8a8w]
mode: [qnn]
fail-fast: false
with:
runner: linux.2xlarge
docker-image: executorch-ubuntu-22.04-qnn-sdk
submodules: 'true'
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
timeout: 900
script: |
# The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

BUILD_TOOL="cmake"
DTYPE=${{ matrix.dtype }}
MODE=${{ matrix.mode }}
PT2E_QUANTIZE=${{ matrix.pt2e_quantize }}

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh

# Setup executorch
PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh "${BUILD_TOOL}"
# Install requirements for export_llama
PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
# Test llama2
PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"
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