├── .github └── workflows │ ├── lint.yml │ └── ppq_simulator.yml ├── .gitignore ├── .pre-commit-config.yaml ├── LICENSE ├── MANIFEST.in ├── ProgramEntrance_1.py ├── ProgramEntrance_2.py ├── README.md ├── assets ├── OpenPPL.jpg ├── QQGroup.jpg └── logo.png ├── md_doc ├── Passes │ ├── BiasCorrectionPass.md │ ├── IsotoneCalibrationPass.md │ ├── LayerSpilit.md │ ├── LayerwiseEqualization.md │ ├── LearnedStepSizePass.md │ ├── QuantAlignment.md │ ├── QuantFusion.md │ ├── QuantSimplify.md │ └── RuntimeCalibrationPass.md ├── deploy_for_mnn.md ├── deploy_trt_by_OnnxParser.md ├── deploy_trt_by_api.md ├── how_to_use.md ├── inference_with_ncnn.md ├── inference_with_ppl_cuda.md └── inference_with_snpe_dsp.md ├── ppq ├── IR │ ├── README.md │ ├── __init__.py │ ├── base │ │ ├── __init__.py │ │ ├── command.py │ │ ├── graph.py │ │ └── opdef.py │ ├── deploy.py │ ├── morph.py │ ├── processer.py │ ├── quantize.py │ ├── search.py │ └── training.py ├── README.md ├── __init__.py ├── api │ ├── __init__.py │ ├── fsys.py │ ├── interface.py │ └── setting.py ├── core │ ├── README.md │ ├── __init__.py │ ├── common.py │ ├── config.py │ ├── data.py │ ├── defs.py │ ├── ffi.py │ ├── quant.py │ └── storage.py ├── csrc │ ├── build │ │ ├── .gitignore │ │ └── readme.md │ ├── cpu │ │ ├── common.h │ │ ├── hist_mse.cc │ │ └── hist_mse.h │ ├── cuda │ │ ├── PPQ.h │ │ ├── common.cuh │ │ ├── common.h │ │ ├── floating.cu │ │ ├── floating.h │ │ ├── isotone.cc │ │ ├── isotone.h │ │ ├── linear.cu │ │ ├── linear.h │ │ ├── sort.cu │ │ ├── sort.h │ │ ├── test.cu │ │ ├── test.h │ │ ├── train.cu │ │ └── train.h │ └── export.cc ├── executor │ ├── README.md │ ├── __init__.py │ ├── base.py │ ├── op │ │ ├── __init__.py │ │ ├── fp32 │ │ │ └── fp32_backend.py │ │ ├── ppl_dsp │ │ │ └── ppl_dsp_backend.py │ │ ├── ppl_trt │ │ │ └── ppl_gpu_backend.py │ │ └── torch │ │ │ ├── __init__.py │ │ │ ├── academic.py │ │ │ ├── base.py │ │ │ ├── cuda.py │ │ │ ├── default.py │ │ │ ├── dsp.py │ │ │ ├── extension.py │ │ │ ├── nxp.py │ │ │ └── onnx.py │ └── torch.py ├── lib │ ├── README.md │ ├── __init__.py │ ├── common.py │ ├── extension.py │ └── quant.py ├── log │ ├── __init__.py │ └── logger.py ├── parser │ ├── __init__.py │ ├── ascend_export.py │ ├── caffe │ │ ├── __init__.py │ │ ├── caffe.proto │ │ ├── caffe_export_utils.py │ │ ├── caffe_graph_optim.py │ │ ├── caffe_import_utils.py │ │ └── ppl_caffe_pb2.py │ ├── caffe_exporter.py │ ├── caffe_parser.py │ ├── extension.py │ ├── mnn_exporter.py │ ├── native.py │ ├── ncnn_exporter.py │ ├── nxp_exporter.py │ ├── onnx_exporter.py │ ├── onnx_parser.py │ ├── onnxruntime_exporter.py │ ├── openvino_exporter.py │ ├── ppl.py │ ├── qnn_exporter.py │ ├── tengine_exporter.py │ ├── tensorRT.py │ └── util.py ├── qat │ └── core.py ├── quantization │ ├── __init__.py │ ├── algorithm │ │ ├── __init__.py │ │ ├── equalization.py │ │ ├── exprimental.py │ │ └── training.py │ ├── analyse │ │ ├── __init__.py │ │ ├── graphwise.py │ │ ├── layerwise.py │ │ └── util │ │ │ └── __init__.py │ ├── measure │ │ ├── __init__.py │ │ ├── cosine.py │ │ ├── norm.py │ │ └── statistic.py │ ├── observer │ │ ├── __init__.py │ │ ├── base.py │ │ ├── floating.py │ │ ├── order.py │ │ └── range.py │ ├── optim │ │ ├── README.md │ │ ├── __init__.py │ │ ├── baking.py │ │ ├── base.py │ │ ├── calibration.py │ │ ├── equalization.py │ │ ├── exprimental.py │ │ ├── extension.py │ │ ├── legacy.py │ │ ├── morph.py │ │ ├── parameters.py │ │ ├── refine.py │ │ ├── ssd.py │ │ └── training.py │ ├── qfunction │ │ ├── README.md │ │ ├── __init__.py │ │ ├── base.py │ │ ├── floating.py │ │ └── linear.py │ └── quantizer │ │ ├── AscendQuantizer.py │ │ ├── DSPQuantizer.py │ │ ├── FP8Quantizer.py │ │ ├── FPGAQuantizer.py │ │ ├── MNNQuantizer.py │ │ ├── MetaxQuantizer.py │ │ ├── MyQuantizer.py │ │ ├── NCNNQuantizer.py │ │ ├── NXPQuantizer.py │ │ ├── ORTQuantizer.py │ │ ├── OpenvinoQuantizer.py │ │ ├── PPLQuantizer.py │ │ ├── README.md │ │ ├── RKNNQuantizer.py │ │ ├── TengineQuantizer.py │ │ ├── TensorRTQuantizer.py │ │ ├── __init__.py │ │ └── base.py ├── samples │ ├── FP8 │ │ └── fp8_sample.py │ ├── Imagenet │ │ ├── Utilities │ │ │ ├── Imagenet │ │ │ │ ├── __init__.py │ │ │ │ └── imagenet_util.py │ │ │ └── __init__.py │ │ └── evaluation_with_imagenet.py │ ├── Onnxruntime │ │ ├── Example_Benchmark.py │ │ ├── Example_Fp32.py │ │ └── Example_PTQ.py │ ├── Openvino │ │ ├── Example_Benchmark.py │ │ ├── Example_Fp32.py │ │ ├── Example_PTQ.py │ │ └── Example_QAT.py │ ├── QAT │ │ ├── imagenet.py │ │ ├── myquantizer.py │ │ └── trainer.py │ ├── QuantZoo │ │ ├── QuantZoo_Imagenet.py │ │ ├── QuantZoo_OCR.py │ │ ├── QuantZoo_Pose.py │ │ ├── QuantZoo_Segmentation.py │ │ ├── QuantZoo_SuperRes.py │ │ ├── QuantZoo_Yolo.py │ │ └── Readme.md │ ├── RKNN │ │ └── Example_PTQ.py │ ├── TensorRT │ │ ├── Benchmark_with_onnx.py │ │ ├── Example_Benchmark.py │ │ ├── Example_Fp32.py │ │ ├── Example_PTQ.py │ │ ├── Example_Profiling.py │ │ ├── Example_QAT.py │ │ ├── Example_Torch2trt.py │ │ ├── create_engine.py │ │ ├── lenet_demo │ │ │ ├── CMakeLists.txt │ │ │ ├── common │ │ │ │ ├── ErrorRecorder.h │ │ │ │ ├── common.h │ │ │ │ ├── logger.cpp │ │ │ │ ├── logger.h │ │ │ │ ├── logging.h │ │ │ │ └── macros.h │ │ │ ├── generate_onnx.py │ │ │ ├── lenet_int8.cpp │ │ │ └── lenet_int8.py │ │ └── trt_infer.py │ ├── Tutorial │ │ ├── analyse.py │ │ ├── bestPractice.py │ │ ├── calibration.py │ │ ├── dequantize.py │ │ ├── dispatch.py │ │ ├── execute.py │ │ ├── finetune.py │ │ ├── fusion.py │ │ ├── optimization.py │ │ ├── quantize.py │ │ └── targetPlatform.py │ ├── Yolo │ │ ├── 00_FloatModel.py │ │ ├── 01_Quantization.py │ │ ├── 02_Quantization.py │ │ ├── yolo_5.py │ │ └── yolo_x.py │ ├── bert_sample.py │ ├── bypass_nms.py │ ├── custimize_quant_func.py │ ├── custimized_quant.py │ ├── dynamic_shape.py │ ├── enable_cuda_kernel.py │ ├── fp8_sample.py │ ├── onnx_converter.py │ ├── quantize_caffe_model.py │ ├── quantize_dsp.py │ ├── quantize_onnx_model.py │ ├── quantize_torch_model.py │ └── yolo6_sample.py ├── scheduler │ ├── __init__.py │ ├── allin.py │ ├── base.py │ ├── dispatchers.py │ └── perseus.py └── utils │ ├── OnnxruntimeUtil.py │ ├── OpenvinoUtil.py │ ├── TensorRTUtil.py │ ├── __init__.py │ ├── attribute.py │ ├── ema.py │ ├── fetch.py │ ├── graph_editor.py │ ├── round.py │ ├── write_qparams_caffe2trt.py │ ├── write_qparams_onnx2trt.py │ └── write_qparams_to_snpe_dlc.py ├── requirements.txt ├── setup.py └── tests ├── __init__.py ├── testBnToConv.py ├── testFuseBias.py ├── test_activation_fusion.py ├── test_block.py ├── test_block_split.py ├── test_cuda_kernel.py ├── test_gemm_fusion.py ├── test_gemm_split.py ├── test_graph_api.py ├── test_isotone.py ├── test_layerwise_equalization.py ├── test_onnxruntime.py ├── test_persus.py ├── test_rounding.py ├── test_system.py ├── tmodel ├── __init__.py ├── base.py ├── testblocks │ ├── __init__.py │ └── blocks.py └── torchmodels │ └── __init__.py ├── tscheme ├── __init__.py └── base.py └── tworkingspace └── placeholder.py /.github/workflows/lint.yml: 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