mirror of https://github.com/alibaba/MNN.git
47 lines
1.4 KiB
C++
47 lines
1.4 KiB
C++
|
//
|
||
|
|
// CPURandomUniform.cpp
|
||
|
|
// MNN
|
||
|
|
//
|
||
|
|
// Created by MNN on 2020/8/14.
|
||
|
|
// Copyright © 2018, Alibaba Group Holding Limited
|
||
|
|
//
|
||
|
|
|
||
|
|
#include <ctime>
|
||
|
|
#include "backend/cpu/CPURandomUniform.hpp"
|
||
|
|
#include "core/Macro.h"
|
||
|
|
#include "backend/cpu/CPUBackend.hpp"
|
||
|
|
|
||
|
|
namespace MNN {
|
||
|
|
ErrorCode CPURandomUniform::onResize(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs) {
|
||
|
|
return NO_ERROR;
|
||
|
|
}
|
||
|
|
|
||
|
|
ErrorCode CPURandomUniform::onExecute(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs) {
|
||
|
|
MNN_ASSERT(outputs.size() == 1);
|
||
|
|
auto output = outputs[0];
|
||
|
|
int size = output->elementSize();
|
||
|
|
auto parameter = mOp->main_as_RandomUniform();
|
||
|
|
int seed = parameter->seed();
|
||
|
|
int seed1 = parameter->seed2();
|
||
|
|
if (seed || seed1) {
|
||
|
|
std::srand(seed || seed1);
|
||
|
|
} else {
|
||
|
|
std::srand(std::time(nullptr));
|
||
|
|
}
|
||
|
|
auto outputPtr = output->host<float>();
|
||
|
|
for (int i = 0; i < size; i++) {
|
||
|
|
outputPtr[i] = std::rand() / static_cast<float>(RAND_MAX);
|
||
|
|
}
|
||
|
|
return NO_ERROR;
|
||
|
|
}
|
||
|
|
|
||
|
|
class CPURandomUniformCreator : public CPUBackend::Creator {
|
||
|
|
public:
|
||
|
|
virtual Execution *onCreate(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs,
|
||
|
|
const MNN::Op *op, Backend *backend) const override {
|
||
|
|
return new CPURandomUniform(backend, op);
|
||
|
|
}
|
||
|
|
};
|
||
|
|
REGISTER_CPU_OP_CREATOR(CPURandomUniformCreator, OpType_RandomUniform);
|
||
|
|
} // namespace MNN
|