mirror of https://github.com/alibaba/MNN.git
64 lines
1.8 KiB
C++
64 lines
1.8 KiB
C++
//
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// CPUConst.cpp
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// MNN
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//
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// Created by MNN on 2018/08/01.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "backend/cpu/CPUConst.hpp"
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#include "backend/cpu/CPUBackend.hpp"
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#include "backend/cpu/compute/CommonOptFunction.h"
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#include "core/Macro.h"
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namespace MNN {
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// get data pointer from blob
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static void *_blobData(const Blob *b) {
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void *result = nullptr;
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switch (b->dataType()) {
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case DataType_DT_FLOAT:
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result = (void *)b->float32s()->Data();
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break;
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case DataType_DT_INT32:
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result = (void *)b->int32s()->Data();
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break;
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case DataType_DT_QUINT8:
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return (void *)b->uint8s()->Data();
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break;
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default:
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MNN_ASSERT(false);
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break;
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}
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return result;
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}
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CPUConst::CPUConst(Backend *b, const MNN::Op *op) : MNN::Execution(b), mOp(op) {
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// nothing to do
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}
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ErrorCode CPUConst::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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MNN_ASSERT(1 == outputs.size());
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auto output = outputs[0];
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auto parameter = mOp->main_as_Blob();
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memcpy(output->host<float>(), MNN::_blobData(parameter), output->size());
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return NO_ERROR;
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}
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ErrorCode CPUConst::onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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return NO_ERROR;
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}
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class CPUConstCreator : public CPUBackend::Creator {
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public:
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virtual Execution *onCreate(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs,
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const MNN::Op *op, Backend *backend) const override {
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return new CPUConst(backend, op);
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}
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};
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REGISTER_CPU_OP_CREATOR(CPUConstCreator, OpType_Const);
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REGISTER_CPU_OP_CREATOR(CPUConstCreator, OpType_TrainableParam);
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} // namespace MNN
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