Integrate Auto-Round to INC 3.x

[Kaihui-intel]

Type of Change

feature

Description

Depends on AutoRound's calibration implementation. (merged)

Expected Behavior & Potential Risk

the expected behavior that triggered by this PR

How has this PR been tested?

how to reproduce the test (including hardware information)

Dependency Change?

any library dependency introduced or removed

[github-actions]

⛈️ Required checks status: Has failure 🔴

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Groups summary

🟢 Code Scan Tests workflow

Check ID	Status	Error details
Code-Scan	success		✅
Code-Scan (Bandit Code Scan Bandit)	success		✅
Code-Scan (DocStyle Code Scan DocStyle)	success		✅
Code-Scan (Pylint Code Scan Pylint)	success		✅

These checks are required after the changes to neural_compressor/common/utils/constants.py, neural_compressor/torch/algorithms/weight_only/__init__.py, neural_compressor/torch/algorithms/weight_only/autoround.py, neural_compressor/torch/quantization/__init__.py, neural_compressor/torch/quantization/algorithm_entry.py, neural_compressor/torch/quantization/config.py, neural_compressor/torch/utils/constants.py.

🟢 Unit Tests basic workflow

Check ID	Status	Error details
UT-Basic	success		✅
UT-Basic (Coverage Compare CollectDatafiles)	success		✅
UT-Basic (Unit Test FWKs adaptor Test FWKs adaptor)	success		✅
UT-Basic (Unit Test FWKs adaptor baseline Test FWKs adaptor baseline)	success		✅
UT-Basic (Unit Test ITEX Test ITEX)	success		✅
UT-Basic (Unit Test ITEX baseline Test ITEX baseline)	success		✅
UT-Basic (Unit Test Pruning Test PyTorch Pruning)	success		✅
UT-Basic (Unit Test Pruning Test TensorFlow Pruning)	success		✅
UT-Basic (Unit Test Pruning baseline Test PyTorch Pruning baseline)	success		✅
UT-Basic (Unit Test Pruning baseline Test TensorFlow Pruning baseline)	success		✅
UT-Basic (Unit Test TF newAPI Test TF newAPI)	success		✅
UT-Basic (Unit Test TF newAPI baseline Test TF newAPI baseline)	success		✅
UT-Basic (Unit Test User facing API Test User facing API)	success		✅
UT-Basic (Unit Test User facing API baseline Test User facing API baseline)	success		✅
UT-Basic (Unit Test other basic case Test other basic case)	success		✅
UT-Basic (Unit Test other cases baseline Test other cases baseline)	success		✅

UT-Basic coverage report

	Base coverage	PR coverage	Diff
Lines	86.922%	86.922%	0.000%
Branches	76.281%	76.281%	0.000%

These checks are required after the changes to test/requirements.txt.

🟢 Unit Tests basic no coverage workflow

Check ID	Status	Error details
UT-Basic-No-Coverage	success		✅
UT-Basic-No-Coverage (Unit Test FWKs adaptor Test FWKs adaptor)	success		✅
UT-Basic-No-Coverage (Unit Test Pruning Test PyTorch Pruning)	success		✅
UT-Basic-No-Coverage (Unit Test Pruning Test TensorFlow Pruning)	success		✅
UT-Basic-No-Coverage (Unit Test User facing API Test User facing API)	success		✅
UT-Basic-No-Coverage (Unit Test other basic case Test other basic case)	success		✅

These checks are required after the changes to test/requirements.txt.

🔴 Unit Tests 3x-TensorFlow workflow

Check ID	Status	Error details
UT-3x-TensorFlow	failure		❌
UT-3x-TensorFlow (Coverage Compare CollectDatafiles)	no_status		❓
UT-3x-TensorFlow (Unit Test 3x TensorFlow Unit Test 3x TensorFlow)	failure	download	❌
UT-3x-TensorFlow (Unit Test 3x TensorFlow baseline Unit Test 3x TensorFlow baseline)	failure	download	❌

These checks are required after the changes to neural_compressor/common/utils/constants.py.

🟢 Unit Tests 3x-PyTorch workflow

Check ID	Status	Error details
UT-3x-Torch	success		✅
UT-3x-Torch (Coverage Compare CollectDatafiles)	success		✅
UT-3x-Torch (Unit Test 3x Torch Unit Test 3x Torch)	success		✅
UT-3x-Torch (Unit Test 3x Torch baseline Unit Test 3x Torch baseline)	success		✅

These checks are required after the changes to neural_compressor/common/utils/constants.py, neural_compressor/torch/algorithms/weight_only/__init__.py, neural_compressor/torch/algorithms/weight_only/autoround.py, neural_compressor/torch/quantization/__init__.py, neural_compressor/torch/quantization/algorithm_entry.py, neural_compressor/torch/quantization/config.py, neural_compressor/torch/utils/constants.py, test/3x/torch/quantization/weight_only/test_autoround.py, test/3x/torch/requirements.txt, test/3x/torch/test_config.py, requirements_pt.txt.

🟢 Unit Tests 3x-ONNXRT workflow

Check ID	Status	Error details
UT-3x-ONNXRT	success		✅
UT-3x-ONNXRT (Coverage Compare CollectDatafiles)	success		✅
UT-3x-ONNXRT (Unit Test 3x ONNXRT Unit Test 3x ONNXRT)	success		✅
UT-3x-ONNXRT (Unit Test 3x ONNXRT baseline Unit Test 3x ONNXRT baseline)	success		✅

These checks are required after the changes to neural_compressor/common/utils/constants.py.

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[chensuyue]

The tensorflow issue should caused by tensorflow version update, https://dev.azure.com/lpot-inc/neural-compressor/_build/results?buildId=27813&view=logs&j=45daf969-8bc5-5011-3358-6610c803470a&t=2ab66483-cf8e-5801-303e-04f79a6fda99&l=1355, @zehao-intel please fix in another PR.