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Searched refs:numInputTensors (Results 1 – 2 of 2) sorted by relevance

/hardware/qcom/neuralnetworks/hvxservice/1.0/
DHexagonOperationsPrepare.cpp105 const size_t numInputTensors = ins.size() - 1; in concatenation() local
108 std::vector<hexagon_nn_input> inputs(numInputTensors + 1); in concatenation()
109 for (size_t i = 0; i < numInputTensors; ++i) { in concatenation()
114 const int32_t axis = model->getScalar<int32_t>(ins[numInputTensors]); in concatenation()
562 const size_t numInputTensors = ins.size() - 1; in concatenation() local
565 std::vector<hexagon_nn_input> inputs(numInputTensors * 3 + 1); in concatenation()
566 for (size_t i = 0; i < numInputTensors; ++i) { in concatenation()
567 inputs[i + 1 + numInputTensors * 0] = model->getTensor(ins[i]); in concatenation()
568 inputs[i + 1 + numInputTensors * 1] = model->getQuantizationMin(ins[i]); in concatenation()
569 inputs[i + 1 + numInputTensors * 2] = model->getQuantizationMax(ins[i]); in concatenation()
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DHexagonOperationsCheck.cpp135 const size_t numInputTensors = ins.size() - 1; in concatenation() local
137 const int32_t axis = model->getScalar<int32_t>(ins[numInputTensors]); in concatenation()
140 std::vector<Shape> inShapes(numInputTensors); in concatenation()
141 for (size_t i = 0; i < numInputTensors; ++i) { in concatenation()