mirror of https://github.com/alibaba/MNN.git
				
				
				
			
		
			
				
	
	
		
			45 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			C++
		
	
	
	
			
		
		
	
	
			45 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			C++
		
	
	
	
| //
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| //  ShapePermute.cpp
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| //  MNN
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| //
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| //  Created by MNN on 2019/01/10.
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| //  Copyright © 2018, Alibaba Group Holding Limited
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| //
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| 
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| #include "shape/SizeComputer.hpp"
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| #include "core/Macro.h"
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| 
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| namespace MNN {
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| class PermuteComputer : public SizeComputer {
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| public:
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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(1 == inputs.size());
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|         MNN_ASSERT(1 == outputs.size());
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| 
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|         auto input  = inputs[0];
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|         auto output = outputs[0];
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|         int dimSize = input->dimensions();
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|         output->buffer().dimensions = dimSize;
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| 
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|         if (nullptr != op->main_as_Permute()->dims()) {
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|             auto shape  = op->main_as_Permute()->dims();
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|             MNN_ASSERT(shape->size() == input->buffer().dimensions);
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|             for (int i = 0; i < dimSize; ++i) {
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|                 output->buffer().dim[i].extent = input->buffer().dim[shape->data()[i]].extent;
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|             }
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|         } else {
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|             for (int i = 0; i < dimSize; ++i) {
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|                 output->buffer().dim[i].extent = input->buffer().dim[dimSize-i-1].extent;
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|             }
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|         }
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|         TensorUtils::getDescribe(outputs[0])->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
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|         output->buffer().type = input->buffer().type;
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| 
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|         return true;
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|     }
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| };
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| 
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| REGISTER_SHAPE(PermuteComputer, OpType_Permute);
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| } // namespace MNN
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