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										 |  |  | //
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							|  |  |  | //  ShapePadding.cpp
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							|  |  |  | //  MNN
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							|  |  |  | //
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							|  |  |  | //  Created by MNN on 2019/6/24.
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							|  |  |  | //  Copyright © 2018, Alibaba Group Holding Limited
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							|  |  |  | //
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										 |  |  | #include "core/SizeComputer.hpp"
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							|  |  |  | #include "core/TensorUtils.hpp"
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							|  |  |  | 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 { | 
					
						
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										 |  |  |         if ((2 != inputs.size() && 3 != inputs.size()) || 1 != outputs.size()) { | 
					
						
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										 |  |  |             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); | 
					
						
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							|  |  |  |         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; | 
					
						
							|  |  |  |     } | 
					
						
							|  |  |  | }; | 
					
						
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										 |  |  | REGISTER_SHAPE_INPUTS(PaddingComputer, OpType_Padding, {1}); | 
					
						
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										 |  |  | } // namespace MNN
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