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