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										 |  |  | //
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							|  |  |  | //  ShapeInnerProduct.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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										 |  |  | #include "shape/SizeComputer.hpp"
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										 |  |  | #include "core/Macro.h"
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							|  |  |  | namespace MNN { | 
					
						
							|  |  |  | class InnerProductComputer : public SizeComputer { | 
					
						
							|  |  |  | public: | 
					
						
							|  |  |  |     virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs, | 
					
						
							|  |  |  |                                const std::vector<Tensor*>& outputs) const override { | 
					
						
							|  |  |  |         MNN_ASSERT(1 == inputs.size()); | 
					
						
							|  |  |  |         MNN_ASSERT(1 == outputs.size()); | 
					
						
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							|  |  |  |         auto output    = outputs[0]; | 
					
						
							|  |  |  |         auto input     = inputs[0]; | 
					
						
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										 |  |  |         auto parameter = op->main_as_InnerProduct(); | 
					
						
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							|  |  |  |         MNN_ASSERT(2 == input->buffer().dimensions); | 
					
						
							|  |  |  |         output->buffer().dimensions    = input->buffer().dimensions; | 
					
						
							|  |  |  |         output->buffer().dim[0].extent = input->buffer().dim[0].extent; | 
					
						
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										 |  |  |         output->buffer().dim[1].extent = parameter->outputCount(); | 
					
						
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										 |  |  |         output->buffer().type = halide_type_of<float>(); | 
					
						
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										 |  |  |         TensorUtils::getDescribe(outputs[0])->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat; | 
					
						
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							|  |  |  |         return true; | 
					
						
							|  |  |  |     } | 
					
						
							|  |  |  | }; | 
					
						
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							|  |  |  | REGISTER_SHAPE(InnerProductComputer, OpType_InnerProduct); | 
					
						
							|  |  |  | } // namespace MNN
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