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										 |  |  | //
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							|  |  |  | //  ShapeFill.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 "core/Macro.h"
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							|  |  |  | #include "core/SizeComputer.hpp"
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							|  |  |  | #include "core/TensorUtils.hpp"
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							|  |  |  | namespace MNN { | 
					
						
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							|  |  |  | class FillComputer : public SizeComputer { | 
					
						
							|  |  |  |     virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs, | 
					
						
							|  |  |  |                                const std::vector<Tensor*>& outputs) const override { | 
					
						
							|  |  |  |         auto input0 = inputs[0], output0 = outputs[0]; | 
					
						
							|  |  |  |         MNN_ASSERT(inputs.size() == 2); | 
					
						
							|  |  |  |         MNN_ASSERT(input0->buffer().dimensions == 1); | 
					
						
							|  |  |  |         output0->buffer().dimensions = input0->buffer().dim[0].extent; | 
					
						
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										 |  |  |         output0->buffer().type = inputs[1]->buffer().type; | 
					
						
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										 |  |  |         for (int i = 0; i < input0->buffer().dim[0].extent; i++) { | 
					
						
							|  |  |  |             output0->buffer().dim[i].extent = input0->host<int32_t>()[i]; | 
					
						
							|  |  |  |         } | 
					
						
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										 |  |  |         TensorUtils::getDescribe(outputs[0])->dimensionFormat = TensorUtils::getDescribe(inputs[1])->dimensionFormat; | 
					
						
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										 |  |  |         return true; | 
					
						
							|  |  |  |     } | 
					
						
							|  |  |  | }; | 
					
						
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										 |  |  | REGISTER_SHAPE_INPUTS(FillComputer, OpType_Fill, {0}); | 
					
						
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										 |  |  | } // namespace MNN
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