mirror of https://github.com/alibaba/MNN.git
				
				
				
			
		
			
				
	
	
		
			50 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			C++
		
	
	
	
			
		
		
	
	
			50 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			C++
		
	
	
	
| //
 | |
| //  CPUUnique.cpp
 | |
| //  MNN
 | |
| //
 | |
| //  Created by MNN on 2019/6/11.
 | |
| //  Copyright © 2018 Alibaba. All rights reserved.
 | |
| //
 | |
| 
 | |
| #include <unordered_map>
 | |
| #include "backend/cpu/CPUUnique.hpp"
 | |
| namespace MNN {
 | |
| 
 | |
| ErrorCode CPUUnique::onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
 | |
|     auto input  = inputs[0];
 | |
|     if (input->getType().code != halide_type_int) {
 | |
|         return NOT_SUPPORT;
 | |
|     }
 | |
|     auto output = outputs[0];
 | |
|     auto outputPtr  = output->host<int32_t>();
 | |
|     int outputSize  = 0;
 | |
|     std::unordered_map<int, int> idx_map;
 | |
|     auto eleSize = input->elementSize();
 | |
|     for (int i = 0; i < eleSize; ++i) {
 | |
|         auto value = input->host<int32_t>()[i];
 | |
|         if (idx_map.find(value) == idx_map.end()) {
 | |
|             outputPtr[outputSize] = value;
 | |
|             idx_map[value] = outputSize++;
 | |
|         }
 | |
|     }
 | |
|     if (outputs.size() > 1) {
 | |
|         auto outIdx = outputs[1]->host<int>();
 | |
|         for (int i = 0; i < eleSize; ++i) {
 | |
|             auto value = input->host<int32_t>()[i];
 | |
|             outIdx[i] = idx_map[value];
 | |
|         }
 | |
|     }
 | |
|     return NO_ERROR;
 | |
| }
 | |
| class CPUUniqueCreator : public CPUBackend::Creator {
 | |
| public:
 | |
|     virtual Execution *onCreate(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs,
 | |
|                                 const MNN::Op *op, Backend *backend) const {
 | |
|         return new CPUUnique(backend);
 | |
|     }
 | |
| };
 | |
| 
 | |
| REGISTER_CPU_OP_CREATOR(CPUUniqueCreator, OpType_Unique);
 | |
| 
 | |
| }; // namespace MNN
 |