mirror of https://github.com/alibaba/MNN.git
				
				
				
			
		
			
				
	
	
		
			77 lines
		
	
	
		
			3.0 KiB
		
	
	
	
		
			C++
		
	
	
	
			
		
		
	
	
			77 lines
		
	
	
		
			3.0 KiB
		
	
	
	
		
			C++
		
	
	
	
//
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//  GeometryReduce.cpp
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//  MNN
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//
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//  Created by MNN on 2020/06/09.
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//  Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "geometry/GeometryComputer.hpp"
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#include "geometry/GeometryComputerUtils.hpp"
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#include "core/OpCommonUtils.hpp"
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namespace MNN {
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class GeometryReduce : 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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        MNN_ASSERT(1 == outputs.size());
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        MNN_ASSERT(inputs.size() >= 1);
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        auto reduct          = op->main_as_ReductionParam();
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        auto reductOp        = reduct->operation();
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        // prod([]) = 1
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        if (inputs[0]->elementSize() == 0 && reductOp == ReductionType_PROD) {
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            if(!context.allocTensor(outputs[0])) {
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                return false;
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            }
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            if (outputs[0]->getType() == halide_type_of<float>()) {
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                outputs[0]->host<float>()[0] = 1.f;
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            } else {
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                outputs[0]->host<int>()[0] = 1;
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            }
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            return true;
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        }
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        auto reduceDims      = OpCommonUtils::computeReduceDims(inputs, op);
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        Tensor* currentInput = inputs[0];
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        MNN_ASSERT(reduceDims.size() > 0);
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        auto dimType = currentInput->getDimensionType();
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        for (int i = 0; i < reduceDims.size(); ++i) {
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            auto& iter   = reduceDims[i];
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            auto inside  = std::get<2>(iter);
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            auto outside = std::get<0>(iter);
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            auto axis    = std::get<1>(iter);
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            std::shared_ptr<Tensor> inputTensor(
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                Tensor::createDevice({outside, axis, inside}, inputs[0]->getType(), dimType));
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            auto des        = TensorUtils::getDescribe(inputTensor.get());
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            des->memoryType = Tensor::InsideDescribe::MEMORY_VIRTUAL;
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            des->regions    = {TensorUtils::makeFullSlice(currentInput)};
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            res.extras.emplace_back(inputTensor);
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            std::shared_ptr<Tensor> outputTensor(
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                Tensor::createDevice({outside, 1, inside}, inputs[0]->getType(), dimType));
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            res.extras.emplace_back(outputTensor);
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            // Create Command
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            {
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                auto cmd = GeometryComputerUtils::makeReduce(reductOp, inputTensor.get(), outputTensor.get());
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                res.command.emplace_back(std::move(cmd));
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            }
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            currentInput = outputTensor.get();
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            // Ref output
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            if (i == reduceDims.size() - 1) {
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                auto outputDes        = TensorUtils::getDescribe(outputs[0]);
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                outputDes->memoryType = Tensor::InsideDescribe::MEMORY_VIRTUAL;
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                outputDes->regions    = {TensorUtils::makeFullSlice(outputTensor.get())};
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            }
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        }
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        return true;
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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 GeometryReduce);
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    GeometryComputer::registerGeometryComputer(comp, {OpType_Reduction});
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}
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REGISTER_GEOMETRY(GeometryReduce, _create);
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} // namespace MNN
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