mirror of https://github.com/alibaba/MNN.git
				
				
				
			
		
			
				
	
	
		
			44 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			C++
		
	
	
	
			
		
		
	
	
			44 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			C++
		
	
	
	
| //
 | |
| //  ShapeProposal.cpp
 | |
| //  MNN
 | |
| //
 | |
| //  Created by MNN on 2019/01/10.
 | |
| //  Copyright © 2018, Alibaba Group Holding Limited
 | |
| //
 | |
| 
 | |
| #include "shape/SizeComputer.hpp"
 | |
| #include "core/Macro.h"
 | |
| 
 | |
| namespace MNN {
 | |
| 
 | |
| // Size Computer
 | |
| class ProposalComputer : public SizeComputer {
 | |
|     virtual bool onComputeSize(const MNN::Op *op, const std::vector<Tensor *> &inputs,
 | |
|                                const std::vector<Tensor *> &outputs) const override {
 | |
|         MNN_ASSERT(3 == inputs.size());
 | |
|         MNN_ASSERT(1 <= outputs.size() && outputs.size() <= 2);
 | |
| 
 | |
|         auto proposal        = op->main_as_Proposal();
 | |
|         auto &output         = outputs[0]->buffer();
 | |
|         output.dim[3].extent = 1;
 | |
|         output.dim[2].extent = 1;
 | |
|         output.dim[1].extent = 5;
 | |
|         output.dim[0].extent = proposal->afterNmsTopN() * inputs[0]->buffer().dim[0].extent;
 | |
| 
 | |
|         if (outputs.size() > 1) {
 | |
|             auto &roi         = outputs[1]->buffer();
 | |
|             roi.dim[3].extent = 1;
 | |
|             roi.dim[2].extent = 1;
 | |
|             roi.dim[1].extent = 1;
 | |
|             roi.dim[0].extent = proposal->afterNmsTopN() * inputs[0]->buffer().dim[0].extent;
 | |
|         }
 | |
|         output.type = halide_type_of<float>();
 | |
|         TensorUtils::getDescribe(outputs[0])->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
 | |
| 
 | |
|         return true;
 | |
|     }
 | |
| };
 | |
| 
 | |
| REGISTER_SHAPE(ProposalComputer, OpType_Proposal);
 | |
| } // namespace MNN
 |