neural-compressor
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Support true sequential options in gptq
Type of Change
Feature
⚡ Required checks status: All passing 🟢
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/gptq.py
.
🟢 Model Tests workflow
Check ID | Status | Error details | |
---|---|---|---|
Model-Test | success | ✅ | |
Model-Test (Generate Report GenerateReport) | 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 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/gptq.py
.
🟢 Unit Tests basic workflow
UT-Basic coverage report
Base coverage | PR coverage | Diff | |
---|---|---|---|
Lines | 86.949% | 86.981% | 0.032% |
Branches | 76.503% | 76.554% | 0.051% |
These checks are required after the changes to neural_compressor/adaptor/pytorch.py
, neural_compressor/adaptor/torch_utils/gptq.py
, test/adaptor/pytorch_adaptor/test_weight_only_adaptor_pytorch.py
, test/quantization/test_weight_only_quantization.py
.
🟢 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/gptq.py
, test/adaptor/pytorch_adaptor/test_weight_only_adaptor_pytorch.py
, test/quantization/test_weight_only_quantization.py
.
🟢 Unit Tests ITREX workflow
Check ID | Status | Error details | |
---|---|---|---|
UT-ITREX | success | ✅ |
These checks are required after the changes to neural_compressor/adaptor/pytorch.py
, neural_compressor/adaptor/torch_utils/gptq.py
.
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@YIYANGCAI do we still need this PR?
ITREX PR https://github.com/intel/intel-extension-for-transformers/pull/1559 apply the feature, @YIYANGCAI Could you help me double check if it has been applied ?