mirror of https://github.com/alibaba/MNN.git
				
				
				
			
		
			
				
	
	
		
			42 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			C++
		
	
	
	
			
		
		
	
	
			42 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			C++
		
	
	
	
//
 | 
						|
//  ShapePadding.cpp
 | 
						|
//  MNN
 | 
						|
//
 | 
						|
//  Created by MNN on 2019/6/24.
 | 
						|
//  Copyright © 2018, Alibaba Group Holding Limited
 | 
						|
//
 | 
						|
 | 
						|
#include "shape/SizeComputer.hpp"
 | 
						|
#include "core/TensorUtils.hpp"
 | 
						|
 | 
						|
namespace MNN {
 | 
						|
class PaddingComputer : public SizeComputer {
 | 
						|
    virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
 | 
						|
                               const std::vector<Tensor*>& outputs) const override {
 | 
						|
        if ((2 != inputs.size() && 3 != inputs.size()) || 1 != outputs.size()) {
 | 
						|
            MNN_ERROR("Padding inputs or outputs number error: %d -> %d\n", (int)inputs.size(), (int)outputs.size());
 | 
						|
            return false;
 | 
						|
        }
 | 
						|
        auto input            = inputs[0];
 | 
						|
        auto paddings         = inputs[1];
 | 
						|
        auto output           = outputs[0];
 | 
						|
        output->buffer().type = input->buffer().type;
 | 
						|
        TensorUtils::copyShape(input, output, true);
 | 
						|
 | 
						|
        auto size = paddings->elementSize();
 | 
						|
        if (size < output->dimensions() * 2) {
 | 
						|
            MNN_ERROR("Padding blob size not match output's dimension\n");
 | 
						|
            return false;
 | 
						|
        }
 | 
						|
        auto paddingPtr = paddings->host<int32_t>();
 | 
						|
        auto dimensions = input->dimensions();
 | 
						|
        for (int i = 0; i < dimensions; ++i) {
 | 
						|
            output->setLength(i, input->length(i) + paddingPtr[2 * i] + paddingPtr[2 * i + 1]);
 | 
						|
        }
 | 
						|
        return true;
 | 
						|
    }
 | 
						|
};
 | 
						|
 | 
						|
REGISTER_SHAPE_INPUTS(PaddingComputer, OpType_Padding, {1});
 | 
						|
} // namespace MNN
 |