mirror of https://github.com/alibaba/MNN.git
				
				
				
			
		
			
				
	
	
		
			67 lines
		
	
	
		
			2.4 KiB
		
	
	
	
		
			C++
		
	
	
	
			
		
		
	
	
			67 lines
		
	
	
		
			2.4 KiB
		
	
	
	
		
			C++
		
	
	
	
| //
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| //  GeometrySelect.cpp
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| //  MNN
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| //
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| //  Created by MNN on 2020/05/07.
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| //  Copyright © 2018, Alibaba Group Holding Limited
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| //
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| 
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| #include "ConvertUtils.hpp"
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| #include "geometry/GeometryComputer.hpp"
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| #include "shape/SizeComputer.hpp"
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| namespace MNN {
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| class GeometrySelect : public GeometryComputer {
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| public:
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|     virtual bool onCompute(const Op* op, const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs,
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|                            Context& context, CommandBuffer& res) const override {
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|         auto input0     = inputs[0];
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|         auto input1     = inputs[1];
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|         auto input2     = inputs[2];
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|         auto output     = outputs[0];
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|         auto inputL0    = input0->elementSize();
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|         auto inputL1    = input1->elementSize();
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|         auto inputL2    = input1->elementSize();
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|         auto outputSize = output->elementSize();
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|         // Need Broadcast or same shape
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|         if (outputSize != inputL0) {
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|             std::shared_ptr<Tensor> newTensor(new Tensor);
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|             TensorUtils::copyShape(output, newTensor.get(), true);
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|             newTensor->buffer().type = output->buffer().type;
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|             ConvertUtils::broadcastto(input0, newTensor.get());
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|             input0 = newTensor.get();
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|             res.extras.emplace_back(newTensor);
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|         }
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|         if (outputSize != inputL1) {
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|             std::shared_ptr<Tensor> newTensor(new Tensor);
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|             TensorUtils::copyShape(output, newTensor.get(), true);
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|             newTensor->buffer().type = output->buffer().type;
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|             ConvertUtils::broadcastto(input1, newTensor.get());
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|             input1 = newTensor.get();
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|             res.extras.emplace_back(newTensor);
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|         }
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|         if (outputSize != inputL2) {
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|             std::shared_ptr<Tensor> newTensor(new Tensor);
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|             TensorUtils::copyShape(output, newTensor.get(), true);
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|             newTensor->buffer().type = output->buffer().type;
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|             ConvertUtils::broadcastto(input2, newTensor.get());
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|             input2 = newTensor.get();
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|             res.extras.emplace_back(newTensor);
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|         }
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|         Command cmd;
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|         cmd.op      = op;
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|         cmd.inputs  = {input0, input1, input2};
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|         cmd.outputs = std::move(outputs);
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|         res.command.emplace_back(std::move(cmd));
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|         return true;
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|     }
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| };
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| 
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| static void _create() {
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|     std::shared_ptr<GeometryComputer> comp(new GeometrySelect);
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|     GeometryComputer::registerGeometryComputer(comp, {OpType_Select});
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| }
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| 
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| REGISTER_GEOMETRY(GeometrySelect, _create);
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| 
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| } // namespace MNN
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