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			39 lines
		
	
	
		
			1.0 KiB
		
	
	
	
		
			C++
		
	
	
	
		
		
			
		
	
	
			39 lines
		
	
	
		
			1.0 KiB
		
	
	
	
		
			C++
		
	
	
	
|  | //
 | ||
|  | //  ShapeConst.cpp
 | ||
|  | //  MNN
 | ||
|  | //
 | ||
|  | //  Created by MNN on 2019/01/10.
 | ||
|  | //  Copyright © 2018, Alibaba Group Holding Limited
 | ||
|  | //
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|  | 
 | ||
|  | #include "Macro.h"
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|  | #include "SizeComputer.hpp"
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|  | 
 | ||
|  | namespace MNN { | ||
|  | class ConstComputer : public SizeComputer { | ||
|  | public: | ||
|  |     virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs, | ||
|  |                                const std::vector<Tensor*>& outputs) const override { | ||
|  |         MNN_ASSERT(0 == inputs.size()); | ||
|  |         MNN_ASSERT(1 == outputs.size()); | ||
|  | 
 | ||
|  |         // copy dims
 | ||
|  |         auto output    = outputs[0]; | ||
|  |         auto parameter = op->main_as_Blob(); | ||
|  | 
 | ||
|  |         output->buffer().dimensions = parameter->dims() ? parameter->dims()->size() : 0; | ||
|  |         for (int i = 0; i < output->buffer().dimensions; i++) { | ||
|  |             output->buffer().dim[i].extent = parameter->dims()->Get(i); | ||
|  |         } | ||
|  | 
 | ||
|  |         output->setType(parameter->dataType()); | ||
|  |         TensorUtils::getDescribe(output)->dimensionFormat = parameter->dataFormat(); | ||
|  | 
 | ||
|  |         return true; | ||
|  |     } | ||
|  | }; | ||
|  | 
 | ||
|  | REGISTER_SHAPE(ConstComputer, OpType_Const); | ||
|  | 
 | ||
|  | } // namespace MNN
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