41     uint32_t outputHeight = getSizeOfDimension(outputShape, 1); \
42     uint32_t outputWidth = getSizeOfDimension(outputShape, 2);  \
43     uint32_t outputDepth = getSizeOfDimension(outputShape, 3);  \
51                         const Shape& outputShape) {  in groupedConvFloat32()  argument
109                        const Shape& outputShape) {  in groupedConvQuant8()  argument
115     int32_t outputOffset = outputShape.offset;  in groupedConvQuant8()
120     NN_RET_CHECK(GetQuantizedConvolutionMultipler(inputShape, filterShape, biasShape, outputShape,  in groupedConvQuant8()
127     CalculateActivationRange<T>(activation, outputShape, &output_activation_min,  in groupedConvQuant8()
188                                         const Shape& outputShape);
197                                          const Shape& outputShape);
206                                  int32_t activation, T* outputData, const Shape& outputShape) {  in groupedConvQuant8PerChannel()  argument
211     int32_t outputOffset = outputShape.offset;  in groupedConvQuant8PerChannel()
224                 inputShape, filterChannelShape, biasChannelShape, outputShape, &realMultiplier[i]));  in groupedConvQuant8PerChannel()
231     CalculateActivationRange<T>(activation, outputShape, &output_activation_min,  in groupedConvQuant8PerChannel()
290                         int32_t activation, _Float16* outputData, const Shape& outputShape) {  in groupedConvFloat16()  argument
296     std::vector<float> outputData_float32(getNumberOfElements(outputShape));  in groupedConvFloat16()
305                        outputData_float32.data(), outputShape);  in groupedConvFloat16()
316         int32_t activation, uint8_t* outputData, const Shape& outputShape);
323         int32_t activation, int8_t* outputData, const Shape& outputShape);