// // NPUPadding.cpp // MNN // // Created by MNN on 2019/09/07. // Copyright © 2018, Alibaba Group Holding Limited // #include "NPUPadding.hpp" #include "NPUBackend.hpp" using namespace std; namespace MNN { NPUPadding::NPUPadding(Backend *b, const Op *op, const std::vector &inputs, const std::vector &outputs) : MNN::NPUCommonExecution(b,op) { auto opName = mOp->name()->str(); auto input1 = inputs[1]; bool isConst1 = TensorUtils::getDescribe(input1)->usage==Tensor::InsideDescribe::Usage::CONSTANT; MNN_ASSERT(isConst1 == true); auto data = input1->host(); //MNN_PRINT("Padding input1->buffer().dim[0].extent=%d\n",input1->buffer().dim[0].extent); if (input1->buffer().dim[0].extent == 3) { mPadData = {0, 0, data[4], data[5], data[0], data[1], data[2], data[3]}; } else if ((input1->buffer().dim[0].extent == 4) || (input1->buffer().dim[0].extent == 8)) { mPadData = {data[0], data[1], data[2], data[3], data[4], data[5], data[6], data[7]}; } // om input weight const op mConst = hiai::op::Const(opName + "_w_const"); { ge::TensorPtr filter = std::make_shared(); ge::TensorDesc fdesc(ge::Shape(ge::Shape({4, 2})), ge::FORMAT_NCHW, ge::DT_INT32); filter->SetTensorDesc(fdesc); filter->SetData((uint8_t *)mPadData.data(), mPadData.size() * sizeof(int32_t)); mConst.set_attr_value(filter); } } ErrorCode NPUPadding::onResize(const std::vector &inputs, const std::vector &outputs) { mNpuBackend->setNetworkInput(inputs, mOp); auto opName = mOp->name()->str(); auto xOp = mNpuBackend->getInputOps(mOp); shared_ptr padding(new hiai::op::Pad(opName)); auto inputIndex = mOp->inputIndexes()->data()[0]; auto iops = mNpuBackend->mGrapMap[inputIndex]; // x xOp = iops.back().first; (*padding).set_input_x(*xOp.get()).set_input_paddings(mConst); mNpuBackend->setOutputOps(mOp, {padding}, outputs); return NO_ERROR; } NPUCreatorRegister> __padding_op(OpType_Padding); } // namespace MNN