107             Shape inputShape = context->getInputShape(kInputTensor);  in initialize()  local
109             int32_t input_width = getSizeOfDimension(inputShape, useNchw ? 3 : 2);  in initialize()
110             int32_t input_height = getSizeOfDimension(inputShape, useNchw ? 2 : 1);  in initialize()
134     uint32_t height = getSizeOfDimension(inputShape, 1);                          \
135     uint32_t width = getSizeOfDimension(inputShape, 2);                           \
140     uint32_t inDepth = getSizeOfDimension(inputShape, 3);                         \
194 bool convNhwc(const float* inputData, const Shape& inputShape, const float* filterData,  in convNhwc()  argument
215             inputData, convertShapeToDims(inputShape), filterData, convertShapeToDims(filterShape),  in convNhwc()
223 bool convNhwc(const uint8_t* inputData, const Shape& inputShape, const uint8_t* filterData,  in convNhwc()  argument
233     int32_t inputOffset = -inputShape.offset;  in convNhwc()
243     NN_RET_CHECK(GetQuantizedConvolutionMultipler(inputShape, filterShape, biasShape, outputShape,  in convNhwc()
264     tflite::optimized_ops::Conv(inputData, convertShapeToDims(inputShape), inputOffset, filterData,  in convNhwc()
277 bool convNhwc(const int8_t* inputData, Shape inputShape, const int8_t* filterData,  in convNhwc()  argument
285     std::vector<uint8_t> unsignedInput(getNumberOfElements(inputShape));  in convNhwc()
287     inputShape.offset += 128;  in convNhwc()
296     NN_RET_CHECK(convNhwc(unsignedInput.data(), inputShape, unsignedFilter.data(), filterShape,  in convNhwc()
306 bool convNhwc(const _Float16* inputData, const Shape& inputShape, const _Float16* filterData,  in convNhwc()  argument
314     std::vector<float> inputData_float32(getNumberOfElements(inputShape));  in convNhwc()
323     convNhwc(inputData_float32.data(), inputShape, filterData_float32.data(), filterShape,  in convNhwc()
333 bool conv(const T_Input* inputData, const Shape& inputShape, const T_Filter* filterData,  in conv()  argument
341     NN_RET_CHECK(input.initialize(inputData, inputShape));  in conv()
352 bool convQuant8PerChannelNhwc(const uint8_t* inputData, const Shape& inputShape,  in convQuant8PerChannelNhwc()  argument
362     uint32_t numBatches = getSizeOfDimension(inputShape, 0);  in convQuant8PerChannelNhwc()
363     uint32_t inputHeight = getSizeOfDimension(inputShape, 1);  in convQuant8PerChannelNhwc()
364     uint32_t inputWidth = getSizeOfDimension(inputShape, 2);  in convQuant8PerChannelNhwc()
365     uint32_t inputDepth = getSizeOfDimension(inputShape, 3);  in convQuant8PerChannelNhwc()
373     int32_t inputOffset = -inputShape.offset;  in convQuant8PerChannelNhwc()
384         biasChannelShape.scale = filterScales[i] * inputShape.scale;  in convQuant8PerChannelNhwc()
386                 inputShape, filterChannelShape, biasChannelShape, outputShape, &realMultiplier[i]));  in convQuant8PerChannelNhwc()
445 bool convQuant8PerChannelNhwc(const int8_t* inputData, const Shape& inputShape,  in convQuant8PerChannelNhwc()  argument
455     uint32_t numBatches = getSizeOfDimension(inputShape, 0);  in convQuant8PerChannelNhwc()
456     uint32_t inputHeight = getSizeOfDimension(inputShape, 1);  in convQuant8PerChannelNhwc()
457     uint32_t inputWidth = getSizeOfDimension(inputShape, 2);  in convQuant8PerChannelNhwc()
458     uint32_t inputDepth = getSizeOfDimension(inputShape, 3);  in convQuant8PerChannelNhwc()
466     int32_t inputOffset = -inputShape.offset;  in convQuant8PerChannelNhwc()
477         biasChannelShape.scale = filterScales[i] * inputShape.scale;  in convQuant8PerChannelNhwc()
479                 inputShape, filterChannelShape, biasChannelShape, outputShape, &realMultiplier[i]));  in convQuant8PerChannelNhwc()
488     convParams.input_offset = -inputShape.offset;  in convQuant8PerChannelNhwc()
502             convertShapeToTflshape(inputShape), inputData, convertShapeToTflshape(filterShape),  in convQuant8PerChannelNhwc()
509 bool convQuant8PerChannel(const T* inputData, const Shape& inputShape, const int8_t* filterData,  in convQuant8PerChannel()  argument
518     NN_RET_CHECK(input.initialize(inputData, inputShape));  in convQuant8PerChannel()