Support automatic detection of amp and device Autoround [2.x]

[Kaihui-intel]

Type of Change

feature

Description

Remove amp, device, export_args.
Update AutoRound version (6815f8b66be456ecbef2d0beb33dbc4efeefdc04)

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/adaptor/pytorch.py, neural_compressor/adaptor/torch_utils/weight_only.py, neural_compressor/model/torch_model.py.

🟢 Model Tests workflow

Check ID	Status	Error details
Model-Test	success		✅
Model-Test (Generate Report GenerateReport)	success		✅
Model-Test (Run MXNet Model resnet50v1)	success		✅
Model-Test (Run ONNX Model resnet50-v1-12)	success		✅
Model-Test (Run PyTorch Model resnet18)	success		✅
Model-Test (Run PyTorch Model resnet18_fx)	success		✅
Model-Test (Run TensorFlow Model darknet19)	success		✅
Model-Test (Run TensorFlow Model densenet-121)	success		✅
Model-Test (Run TensorFlow Model inception_v1)	success		✅
Model-Test (Run TensorFlow Model resnet-101)	success		✅
Model-Test (Run TensorFlow Model resnet50v1.5)	success		✅
Model-Test (Run TensorFlow Model ssd_mobilenet_v1_ckpt)	success		✅
Model-Test (Run TensorFlow Model ssd_resnet50_v1)	success		✅

These checks are required after the changes to neural_compressor/adaptor/pytorch.py, neural_compressor/adaptor/torch_utils/weight_only.py, neural_compressor/model/torch_model.py.

🔴 Unit Tests basic workflow

Check ID	Status	Error details
UT-Basic	failure		❌
UT-Basic (Coverage Compare CollectDatafiles)	failure	download	❌
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	86.984%	86.922%	-0.062%
Branches	76.343%	76.286%	-0.057%

Commit	FileName	Stmts	Miss	Branch	Cover
PR | BASE	adaptor/pytorch.py	2165 | 2168	169 | 169	1047 | 1047	89% | 89%
PR | BASE	adaptor/tf_utils/graph_util.py	493 | 493	41 | 39	274 | 274	90% | 90%
PR | BASE	adaptor/torch_utils/util.py	466 | 466	78 | 48	218 | 218	82% | 88%
PR | BASE	adaptor/torch_utils/weight_only.py	250 | 257	6 | 6	83 | 85	96% | 96%

These checks are required after the changes to neural_compressor/adaptor/pytorch.py, neural_compressor/adaptor/torch_utils/weight_only.py, neural_compressor/model/torch_model.py, test/adaptor/pytorch_adaptor/test_weight_only_adaptor_pytorch.py, test/quantization/test_weight_only_quantization.py, test/requirements.txt, .azure-pipelines/scripts/ut/env_setup.sh.

🟢 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 neural_compressor/adaptor/pytorch.py, neural_compressor/adaptor/torch_utils/weight_only.py, neural_compressor/model/torch_model.py, test/adaptor/pytorch_adaptor/test_weight_only_adaptor_pytorch.py, test/quantization/test_weight_only_quantization.py, test/requirements.txt, .azure-pipelines/scripts/ut/env_setup.sh.

🔴 Unit Tests ITREX workflow

Check ID	Status	Error details
UT-ITREX	failure	download	❌

These checks are required after the changes to neural_compressor/adaptor/pytorch.py, neural_compressor/adaptor/torch_utils/weight_only.py, neural_compressor/model/torch_model.py.

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[chensuyue]

/azp run Model-Test

[azure-pipelines]

Azure Pipelines successfully started running 1 pipeline(s).