96             Shape inputShape = context->getInputShape(kInputTensor);  in initialize()  local
98             int32_t input_width = getSizeOfDimension(inputShape, useNchw ? 3 : 2);  in initialize()
99             int32_t input_height = getSizeOfDimension(inputShape, useNchw ? 2 : 1);  in initialize()
123     uint32_t height = getSizeOfDimension(inputShape, 1);        \
124     uint32_t width = getSizeOfDimension(inputShape, 2);         \
133 bool depthwiseConvNhwc(const float* inputData, const Shape& inputShape, const float* filterData,  in depthwiseConvNhwc()  argument
159     tflite::reference_ops::DepthwiseConv(params, convertShapeToTflshape(inputShape), inputData,  in depthwiseConvNhwc()
167 bool depthwiseConvNhwc(const _Float16* inputData, const Shape& inputShape,  in depthwiseConvNhwc()  argument
175     std::vector<float> inputDataFloat32(getNumberOfElements(inputShape));  in depthwiseConvNhwc()
183     depthwiseConvNhwc(inputDataFloat32.data(), inputShape, filterDataFloat32.data(), filterShape,  in depthwiseConvNhwc()
193 bool depthwiseConvNhwc(const uint8_t* inputData, const Shape& inputShape, const uint8_t* filterData,  in depthwiseConvNhwc()  argument
210     NN_RET_CHECK(GetQuantizedConvolutionMultipler(inputShape, filterShape, biasShape, outputShape,  in depthwiseConvNhwc()
226             .input_offset = -inputShape.offset,  in depthwiseConvNhwc()
235     tflite::reference_ops::DepthwiseConv(params, convertShapeToTflshape(inputShape), inputData,  in depthwiseConvNhwc()
244 bool depthwiseConvNhwc(const int8_t* inputData, Shape inputShape, const int8_t* filterData,  in depthwiseConvNhwc()  argument
253     std::vector<uint8_t> unsignedInput(getNumberOfElements(inputShape));  in depthwiseConvNhwc()
255     inputShape.offset += 128;  in depthwiseConvNhwc()
264     NN_RET_CHECK(depthwiseConvNhwc(unsignedInput.data(), inputShape, unsignedFilter.data(),  in depthwiseConvNhwc()
277         const T* inputData, const Shape& inputShape, const int8_t* filterData,  in depthwiseConvQuant8PerChannelNhwc()  argument
289     uint32_t numBatches = getSizeOfDimension(inputShape, 0);  in depthwiseConvQuant8PerChannelNhwc()
290     uint32_t inputHeight = getSizeOfDimension(inputShape, 1);  in depthwiseConvQuant8PerChannelNhwc()
291     uint32_t inputWidth = getSizeOfDimension(inputShape, 2);  in depthwiseConvQuant8PerChannelNhwc()
292     uint32_t inputDepth = getSizeOfDimension(inputShape, 3);  in depthwiseConvQuant8PerChannelNhwc()
300     int32_t inputOffset = -inputShape.offset;  in depthwiseConvQuant8PerChannelNhwc()
311         biasChannelShape.scale = filterScales[i] * inputShape.scale;  in depthwiseConvQuant8PerChannelNhwc()
313                 inputShape, filterChannelShape, biasChannelShape, outputShape, &realMultiplier[i]));  in depthwiseConvQuant8PerChannelNhwc()
373 bool depthwiseConv(const T_Input* inputData, const Shape& inputShape, const T_Filter* filterData,  in depthwiseConv()  argument
382     NN_RET_CHECK(input.initialize(inputData, inputShape));  in depthwiseConv()
394 bool depthwiseConvQuant8PerChannel(const T* inputData, const Shape& inputShape,  in depthwiseConvQuant8PerChannel()  argument
405     NN_RET_CHECK(input.initialize(inputData, inputShape));  in depthwiseConvQuant8PerChannel()