mirror of https://github.com/alibaba/MNN.git
				
				
				
			
		
			
				
	
	
		
			42 lines
		
	
	
		
			1.2 KiB
		
	
	
	
		
			C++
		
	
	
	
			
		
		
	
	
			42 lines
		
	
	
		
			1.2 KiB
		
	
	
	
		
			C++
		
	
	
	
| //
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| //  ShapeShape.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 "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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| 
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| class ShapeSizeComputer : 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(1 <= inputs.size());
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|         MNN_ASSERT(1 == outputs.size());
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|         auto& ib = inputs[0]->buffer();
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|         auto& ob = outputs[0]->buffer();
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|         for (int i = 0; i < ib.dimensions; i++) {
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|             if (ib.dim[i].extent <= 0) {
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|                 return false;
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|             }
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|         }
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|         ob.dimensions = 1;
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|         outputs[0]->setType(DataType_DT_INT32);
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|         TensorUtils::getDescribe(outputs[0])->dimensionFormat = op->defaultDimentionFormat();
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|         auto inputFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
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|         if (inputFormat == MNN_DATA_FORMAT_NC4HW4) {
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|             ob.dim[0].extent = 4;
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|         } else {
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|             ob.dim[0].extent = ib.dimensions;
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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(ShapeSizeComputer, OpType_Shape);
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| } // namespace MNN
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