mirror of https://github.com/alibaba/MNN.git
				
				
				
			
		
			
				
	
	
		
			52 lines
		
	
	
		
			1.5 KiB
		
	
	
	
		
			C++
		
	
	
	
			
		
		
	
	
			52 lines
		
	
	
		
			1.5 KiB
		
	
	
	
		
			C++
		
	
	
	
| //
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| //  ShapeCosineSimilarity.cpp
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| //  MNN
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| //
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| //  Created by MNN on 2019/7/17.
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| //  Copyright © 2018, Alibaba Group Holding Limited
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| //
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| 
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| #include "core/Macro.h"
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| #include "core/SizeComputer.hpp"
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| #include "core/TensorUtils.hpp"
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| 
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| namespace MNN {
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| class CosineSimilaritySize : public SizeComputer {
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|     virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
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|                                const std::vector<Tensor*>& outputs) const override {
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|         MNN_ASSERT(4 == inputs.size());
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|         auto x1        = inputs[0];
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|         auto x2        = inputs[1];
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|         auto dimTensor = inputs[2];
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|         const auto dim = dimTensor->host<int32_t>()[0];
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|         MNN_ASSERT(dim == 1);
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| 
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|         const int dimensions0 = x1->dimensions();
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|         const int dimensions1 = x2->dimensions();
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|         MNN_ASSERT(dimensions0 == dimensions1);
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|         for (int i = 0; i < dimensions0; ++i) {
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|             MNN_ASSERT(x1->length(i) == x2->length(i));
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|         }
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| 
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|         auto output                 = outputs[0];
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|         output->buffer().dimensions = dimensions0 - 1;
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|         for (int i = 0; i < dimensions0; ++i) {
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|             int index = i;
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|             if (i == dim) {
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|                 continue;
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|             }
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|             if (i > dim) {
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|                 index = i - 1;
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|             }
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|             output->setLength(index, x1->length(i));
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|         }
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|         output->buffer().type = x1->getType();
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|         TensorUtils::getDescribe(output)->dimensionFormat = MNN_DATA_FORMAT_NCHW;
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|         return true;
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|     }
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| };
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| 
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| REGISTER_SHAPE(CosineSimilaritySize, OpType_CosineSimilarity);
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| 
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| } // namespace MNN
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