// // NPUReshape.cpp // MNN // // Created by MNN on 2019/09/19. // Copyright © 2018, Alibaba Group Holding Limited // #include "NPUReshape.hpp" #include "NPUBackend.hpp" using namespace std; namespace MNN { NPUReshape::NPUReshape(Backend *b, const Op *op, const std::vector &inputs, const std::vector &outputs) : MNN::NPUCommonExecution(b,op) { } static bool isSameDims(Tensor * input,Tensor * output) { if(input->buffer().dimensions == output->buffer().dimensions) { for(auto i =0; i < input->buffer().dimensions; i++) { if(input->buffer().dim[i].extent != output->buffer().dim[i].extent) { return false; } } return true; } return false; } ErrorCode NPUReshape::onResize(const std::vector &inputs, const std::vector &outputs) { mNpuBackend->setNetworkInput(inputs, mOp); auto opName = mOp->name()->str(); shared_ptr reshape(new hiai::op::Reshape(opName)); std::vector shape = outputs[0]->shape(); shapeConst = hiai::op::Const(opName + "_shape_const"); { ge::TensorDesc fdesc(ge::Shape({static_cast(shape.size())}), ge::FORMAT_NCHW, ge::DT_INT32); ge::TensorPtr filter = std::make_shared(); filter->SetTensorDesc(fdesc); filter->SetData((uint8_t *)shape.data(), shape.size() * sizeof(int32_t)); shapeConst.set_attr_value(filter); } auto xOp = mNpuBackend->getInputOps(mOp); auto inputIndex = mOp->inputIndexes()->data()[0]; auto iops = mNpuBackend->mGrapMap[inputIndex]; // x xOp = iops.back().first; if (mNpuBackend->mSclipMap.find(inputIndex) == mNpuBackend->mSclipMap.end()) { (*reshape).set_input_x(*xOp.get()); } else { (*reshape).set_input_x(xOp->GetOutput(mNpuBackend->mSclipMap[inputIndex])); } (*reshape).set_input_shape(shapeConst); mNpuBackend->setOutputOps(mOp, {reshape}, outputs); return NO_ERROR; } NPUCreatorRegister> __reshape_op(OpType_Reshape); } // namespace MNN