101     uint32_t numBatches = getSizeOfDimension(inputShape, 0);                    \
102     uint32_t inputHeight = getSizeOfDimension(inputShape, 1);                   \
103     uint32_t inputWidth = getSizeOfDimension(inputShape, 2);                    \
104     uint32_t inputDepth = getSizeOfDimension(inputShape, 3);                    \
115 bool transposeConvNhwc(const float* inputData, const Shape& inputShape, const float* filterData,  in transposeConvNhwc()  argument
171 bool transposeConvNhwc(const uint8_t* inputData, const Shape& inputShape, const uint8_t* filterData,  in transposeConvNhwc()  argument
192     int32_t inputOffset = -inputShape.offset;  in transposeConvNhwc()
199     NN_RET_CHECK(GetQuantizedConvolutionMultipler(inputShape, filterShape, biasShape, outputShape,  in transposeConvNhwc()
266 bool transposeConvNhwc(const _Float16* inputData, const Shape& inputShape,  in transposeConvNhwc()  argument
272     std::vector<float> inputData_float32(getNumberOfElements(inputShape));  in transposeConvNhwc()
281     transposeConvNhwc(inputData_float32.data(), inputShape, filterData_float32.data(), filterShape,  in transposeConvNhwc()
290 bool transposeConv(const T_Input* inputData, const Shape& inputShape, const T_Filter* filterData,  in transposeConv()  argument
296     NN_RET_CHECK(input.initialize(inputData, inputShape));  in transposeConv()
305 bool transposeConvQuant8PerChannelNhwc(const uint8_t* inputData, const Shape& inputShape,  in transposeConvQuant8PerChannelNhwc()  argument
327     int32_t inputOffset = -inputShape.offset;  in transposeConvQuant8PerChannelNhwc()
337         biasChannelShape.scale = filterScales[i] * inputShape.scale;  in transposeConvQuant8PerChannelNhwc()
340                 inputShape, filterChannelShape, biasChannelShape, outputShape, &realMultiplier[i]));  in transposeConvQuant8PerChannelNhwc()
407 bool transposeConvQuant8PerChannel(const uint8_t* inputData, const Shape& inputShape,  in transposeConvQuant8PerChannel()  argument
414     NN_RET_CHECK(input.initialize(inputData, inputShape));  in transposeConvQuant8PerChannel()