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											2019-04-17 10:49:11 +08:00
										 |  |  | //
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							|  |  |  | //  CPUSize.cpp
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							|  |  |  | //  MNN
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							|  |  |  | //
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							|  |  |  | //  Created by MNN on 2018/08/23.
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							|  |  |  | //  Copyright © 2018, Alibaba Group Holding Limited
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							|  |  |  | //
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											2019-12-27 22:16:57 +08:00
										 |  |  | #include "backend/cpu/CPUSize.hpp"
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							|  |  |  | #include "backend/cpu/CPUBackend.hpp"
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											2019-04-17 10:49:11 +08:00
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							|  |  |  | namespace MNN { | 
					
						
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							|  |  |  | template <typename T> | 
					
						
							|  |  |  | CPUSize<T>::CPUSize(Backend *backend, const Op *op) : Execution(backend) { | 
					
						
							|  |  |  |     // nothing to do
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							|  |  |  | } | 
					
						
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							|  |  |  | template <typename T> | 
					
						
							|  |  |  | ErrorCode CPUSize<T>::onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) { | 
					
						
							|  |  |  |     int count = 1; | 
					
						
							|  |  |  |     for (int i = 0; i < inputs[0]->buffer().dimensions; i++) { | 
					
						
							|  |  |  |         count *= inputs[0]->buffer().dim[i].extent; | 
					
						
							|  |  |  |     } | 
					
						
							|  |  |  |     outputs[0]->host<T>()[0] = count; | 
					
						
							|  |  |  |     return NO_ERROR; | 
					
						
							|  |  |  | } | 
					
						
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							|  |  |  | class CPUSizeCreator : public CPUBackend::Creator { | 
					
						
							|  |  |  | public: | 
					
						
							|  |  |  |     virtual Execution *onCreate(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs, | 
					
						
							|  |  |  |                                 const MNN::Op *op, Backend *backend) const { | 
					
						
							|  |  |  |         return new CPUSize<int32_t>(backend, op); | 
					
						
							|  |  |  |     } | 
					
						
							|  |  |  | }; | 
					
						
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							|  |  |  | REGISTER_CPU_OP_CREATOR(CPUSizeCreator, OpType_Size); | 
					
						
							|  |  |  | } // namespace MNN
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