34     uint32_t numBatches = getSizeOfDimension(inputShape, 0);    \
35     uint32_t inputHeight = getSizeOfDimension(inputShape, 1);   \
36     uint32_t inputWidth = getSizeOfDimension(inputShape, 2);    \
37     uint32_t inputDepth = getSizeOfDimension(inputShape, 3);    \
46 bool groupedConvFloat32(const float* inputData, const Shape& inputShape, const float* filterData,  in groupedConvFloat32()  argument
104 bool groupedConvQuant8(const T* inputData, const Shape& inputShape, const T* filterData,  in groupedConvQuant8()  argument
113     int32_t inputOffset = -inputShape.offset;  in groupedConvQuant8()
120     NN_RET_CHECK(GetQuantizedConvolutionMultipler(inputShape, filterShape, biasShape, outputShape,  in groupedConvQuant8()
181 template bool groupedConvQuant8<int8_t>(const int8_t* inputData, const Shape& inputShape,
190 template bool groupedConvQuant8<uint8_t>(const uint8_t* inputData, const Shape& inputShape,
200 bool groupedConvQuant8PerChannel(const T* inputData, const Shape& inputShape,  in groupedConvQuant8PerChannel()  argument
210     int32_t inputOffset = -inputShape.offset;  in groupedConvQuant8PerChannel()
221         biasChannelShape.scale = filterScales[i] * inputShape.scale;  in groupedConvQuant8PerChannel()
224                 inputShape, filterChannelShape, biasChannelShape, outputShape, &realMultiplier[i]));  in groupedConvQuant8PerChannel()
285 bool groupedConvFloat16(const _Float16* inputData, const Shape& inputShape,  in groupedConvFloat16()  argument
293     std::vector<float> inputData_float32(getNumberOfElements(inputShape));  in groupedConvFloat16()
302     groupedConvFloat32(inputData_float32.data(), inputShape, filterData_float32.data(), filterShape,  in groupedConvFloat16()
312         const uint8_t* inputData, const Shape& inputShape, const int8_t* filterData,
319         const int8_t* inputData, const Shape& inputShape, const int8_t* filterData,