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Merge pull request #20535 from SamFC10:onnx-q

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dnn : int8 quantized layers support in onnx importer

* added quantized layers support in onnx importer

* added more cases in eltwise node, some more checks

* added tests for quantized nodes

* relax thresholds for failed tests, address review comments

* refactoring based on review comments

* added support for unsupported cases and pre-quantized resnet50 test

* relax thresholds due to int8 resize layer
This commit is contained in:
Jebastin Nadar
2021-10-04 23:37:38 +05:30
committed by GitHub
parent 9085b933d8
commit cce78cc5e2
9 changed files with 795 additions and 54 deletions
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modules/dnn/src/init.cpp
+2
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@@ -144,6 +144,7 @@ void initializeLayerFactory()
CV_DNN_REGISTER_LAYER_CLASS(Quantize, QuantizeLayer);
CV_DNN_REGISTER_LAYER_CLASS(Dequantize, DequantizeLayer);
CV_DNN_REGISTER_LAYER_CLASS(Requantize, RequantizeLayer);
CV_DNN_REGISTER_LAYER_CLASS(ConvolutionInt8, ConvolutionLayerInt8);
CV_DNN_REGISTER_LAYER_CLASS(InnerProductInt8, InnerProductLayerInt8);
CV_DNN_REGISTER_LAYER_CLASS(PoolingInt8, PoolingLayerInt8);
@@ -173,6 +174,7 @@ void initializeLayerFactory()
CV_DNN_REGISTER_LAYER_CLASS(SilenceInt8, BlankLayer);
CV_DNN_REGISTER_LAYER_CLASS(ConstInt8, ConstLayer);
CV_DNN_REGISTER_LAYER_CLASS(ReshapeInt8, ReshapeLayer);
CV_DNN_REGISTER_LAYER_CLASS(ResizeInt8, ResizeLayer);
CV_DNN_REGISTER_LAYER_CLASS(SplitInt8, SplitLayer);
CV_DNN_REGISTER_LAYER_CLASS(SliceInt8, SliceLayer);
CV_DNN_REGISTER_LAYER_CLASS(CropInt8, CropLayer);