Searched refs:inputTensorNum (Results 1 – 2 of 2) sorted by relevance
48 for (uint32_t inputTensorNum = 0, inputTensorCount = context->getNumInputs() - 1; in validate() local49 inputTensorNum < inputTensorCount; ++inputTensorNum) { in validate()50 const Shape inputShape = context->getInputShape(kInputFirstTensor + inputTensorNum); in validate()52 << "Input tensor #" << inputTensorNum << " type " << inputShape.type in validate()57 << "Input tensor #" << inputTensorNum << " scale " << inputShape.scale in validate()60 << "Input tensor #" << inputTensorNum << " offset " << inputShape.offset in validate()66 << "Input tensor #" << inputTensorNum << " has inconsistent rank"; in validate()
47 for (uint32_t inputTensorNum = 1, inputTensorCount = context->getNumInputs() - 1; in prepare() local48 inputTensorNum < inputTensorCount; ++inputTensorNum) { in prepare()50 context->getInputShape(kInputFirstTensor + inputTensorNum))) in prepare()51 << "Input tensor #" << inputTensorNum in prepare()122 for (uint32_t inputTensorNum = 0; inputTensorNum < inputTensorCount; ++inputTensorNum) { in pack() local123 inputData[inputTensorNum] = context->getInputBuffer<T>(kInputFirstTensor + inputTensorNum); in pack()