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Qualcomm AI Engine Direct - [GenAI Pipeline] PR5: Model preparation & quantization strategy implementations - #21899

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Qualcomm AI Engine Direct - [GenAI Pipeline] PR5: Model preparation & quantization strategy implementations#21899
qti-horodnic wants to merge 1 commit into
pytorch:mainfrom
CodeLinaro:pr4b

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Summary

This PR implements the model preparation and quantization strategy implementations, replacing the NotImplementedError stubs with real logic. Each strategy delegates to injectable adapter interfaces (from PR4) for testability.

What's included

Strategy implementations (2 files + 1 __init__ fix):

  • ExecuTorchModelPreparationStrategy: 5-step flow

    • load_modelload_tokenizer (via ModelLoaderAdapter)
    • generate_calibration_data (via separately-injectable CalibrationDataAdapter)
    • Optional tokenizer export for on-device runtime
    • Chat template extraction from tokenizer (with extra_options fallback)
    • Validates input config (model_name, soc_model required)
  • ExecuTorchQuantizationStrategy: Full PT2E single-graph pipeline via QuantizerAdapter

    • export → make_quantizer → prepare_pt2e → calibrate → convert_pt2e
    • Supports quant_dtype, quant_recipe, and per-channel options via extra_options
    • Handles any Iterable as calibration data (lists, DataLoaders, generators)
    • Validates calibration data is non-empty before export
    • Warns (does not fail) when training_data is provided (QAT deferred)
  • strategies/model_preparation/__init__.py: adds missing ExecuTorchModelPreparationStrategy import to __all__

Unit tests:

  • test_executorch_model_preparation_strategy.py
  • test_executorch_quantization_strategy.py
  • test_default_model_preparation_adapter.py
  • test_default_model_preparation_adapter.py

PR Review Checklist

  • All new classes follow single responsibility (one class per file) - Yes.
  • All dependencies are injected via constructor with sensible defaults - Yes.
  • All external calls are behind injectable interfaces - Yes (adapter pattern).
  • Unit tests cover every public method - Yes (100% coverage on strategy impls).
  • Docstrings on all public classes and methods - Yes.
  • Type annotations on all function signatures - Yes.
  • Logging follows the strategy in the LLD - Yes (info on entry/exit, debug per step).

Related PRs

Test plan

Run only tests added in this PR:

python -m pytest \
  backends/qualcomm/genai_pipeline/tests/strategies/model_preparation/ \
  backends/qualcomm/genai_pipeline/tests/strategies/quantization/ \
  -v

Run only this PR's tests with coverage:

python -m pytest \
  backends/qualcomm/genai_pipeline/tests/strategies/model_preparation/ \
  backends/qualcomm/genai_pipeline/tests/strategies/quantization/ \
  --cov=backends/qualcomm/genai_pipeline/strategies/model_preparation \
  --cov=backends/qualcomm/genai_pipeline/strategies/quantization \
  --cov-config=backends/qualcomm/.coveragerc \
  --cov-report=term-missing

Result:

Name                                                                                                     Stmts   Miss Branch BrPart  Cover   Missing
----------------------------------------------------------------------------------------------------------------------------------------------------
backends/qualcomm/genai_pipeline/strategies/model_preparation/executorch_model_preparation_strategy.py      68      0     14      0   100%
backends/qualcomm/genai_pipeline/strategies/model_preparation/model_loader_adapter.py                        9      0      0      0   100%
backends/qualcomm/genai_pipeline/strategies/model_preparation/model_preparation_strategy.py                  7      0      0      0   100%
backends/qualcomm/genai_pipeline/strategies/quantization/executorch_quantization_strategy.py                61      0     18      0   100%
backends/qualcomm/genai_pipeline/strategies/quantization/quantization_strategy.py                            7      0      0      0   100%
backends/qualcomm/genai_pipeline/strategies/quantization/quantizer_adapter.py                                9      0      0      0   100%
----------------------------------------------------------------------------------------------------------------------------------------------------
TOTAL                                                                                                      161      0     32      0   100%

Run all genai_pipeline tests:

python -m pytest backends/qualcomm/genai_pipeline/tests/ -v

Run all genai_pipeline tests with coverage:

python -m pytest backends/qualcomm/genai_pipeline/tests/ \
  --cov=backends/qualcomm/genai_pipeline \
  --cov-config=backends/qualcomm/.coveragerc \
  --cov-report=term-missing

Result:

Name                                                                                                     Stmts   Miss Branch BrPart  Cover   Missing
----------------------------------------------------------------------------------------------------------------------------------------------------
backends/qualcomm/genai_pipeline/configs/compilation_input_config.py                                        11      0      0      0   100%
backends/qualcomm/genai_pipeline/configs/compilation_output_config.py                                        8      0      0      0   100%
backends/qualcomm/genai_pipeline/configs/inference_input_config.py                                          12      0      0      0   100%
backends/qualcomm/genai_pipeline/configs/inference_output_config.py                                          9      0      0      0   100%
backends/qualcomm/genai_pipeline/configs/model_preparation_input_config.py                                   7      0      0      0   100%
backends/qualcomm/genai_pipeline/configs/model_preparation_output_config.py                                 12      0      0      0   100%
backends/qualcomm/genai_pipeline/configs/quantization_input_config.py                                       13      0      0      0   100%
backends/qualcomm/genai_pipeline/configs/quantization_output_config.py                                       5      0      0      0   100%
backends/qualcomm/genai_pipeline/datasets/calibration_data_adapter.py                                        5      0      0      0   100%
backends/qualcomm/genai_pipeline/datasets/default_calibration_data_adapter.py                               26      0      6      0   100%
backends/qualcomm/genai_pipeline/datasets/default_training_data_adapter.py                                  14      0      2      0   100%
backends/qualcomm/genai_pipeline/datasets/training_data_adapter.py                                           5      0      0      0   100%
backends/qualcomm/genai_pipeline/engine_proxy.py                                                            20      0      4      0   100%
backends/qualcomm/genai_pipeline/exceptions.py                                                              20      0      6      0   100%
backends/qualcomm/genai_pipeline/genai_pipeline.py                                                          99      7     12      1    93%   190-201
backends/qualcomm/genai_pipeline/pipeline_context.py                                                        52      0     14      0   100%
backends/qualcomm/genai_pipeline/pipeline_stage.py                                                           5      0      0      0   100%
backends/qualcomm/genai_pipeline/stages/compilation_stage.py                                                14      0      0      0   100%
backends/qualcomm/genai_pipeline/stages/inference_stage.py                                                  14      0      0      0   100%
backends/qualcomm/genai_pipeline/stages/model_preparation_stage.py                                          14      2      0      0    86%   30, 37
backends/qualcomm/genai_pipeline/stages/quantization_stage.py                                               14      0      0      0   100%
backends/qualcomm/genai_pipeline/strategies/compilation/compilation_strategy.py                              7      0      0      0   100%
backends/qualcomm/genai_pipeline/strategies/compilation/compiler_adapter.py                                 11      0      0      0   100%
backends/qualcomm/genai_pipeline/strategies/compilation/executorch_compilation_strategy.py                   7      0      0      0   100%
backends/qualcomm/genai_pipeline/strategies/inference/device_runner_adapter.py                              14      0      0      0   100%
backends/qualcomm/genai_pipeline/strategies/inference/executorch_inference_strategy.py                       7      0      0      0   100%
backends/qualcomm/genai_pipeline/strategies/inference/inference_strategy.py                                  7      0      0      0   100%
backends/qualcomm/genai_pipeline/strategies/model_preparation/executorch_model_preparation_strategy.py      68      0     14      0   100%
backends/qualcomm/genai_pipeline/strategies/model_preparation/model_loader_adapter.py                        9      0      0      0   100%
backends/qualcomm/genai_pipeline/strategies/model_preparation/model_preparation_strategy.py                  7      0      0      0   100%
backends/qualcomm/genai_pipeline/strategies/quantization/executorch_quantization_strategy.py                61      0     18      0   100%
backends/qualcomm/genai_pipeline/strategies/quantization/quantization_strategy.py                            7      0      0      0   100%
backends/qualcomm/genai_pipeline/strategies/quantization/quantizer_adapter.py                                9      0      0      0   100%
----------------------------------------------------------------------------------------------------------------------------------------------------
TOTAL                                                                                                      593      9     76      1    99%

@pytorch-bot

pytorch-bot Bot commented Aug 17, 2026

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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21899

Note: Links to docs will display an error until the docs builds have been completed.

⚠️ 12 Awaiting Approval

As of commit 1fee845 with merge base 9ffbe36 (image):

AWAITING APPROVAL - The following workflows need approval before CI can run:

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@meta-cla meta-cla Bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Aug 17, 2026
@qti-horodnic

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@pytorchbot label "release notes: qualcomm"

@pytorch-bot pytorch-bot Bot added the release notes: qualcomm Changes to the Qualcomm backend delegate label Aug 17, 2026
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