mirror of https://github.com/alibaba/MNN.git
				
				
				
			
		
			
				
	
	
		
			47 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			C++
		
	
	
	
			
		
		
	
	
			47 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			C++
		
	
	
	
| //
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| //  SliceGrad.cpp
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| //  MNN
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| //
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| //  Created by MNN on 2019/12/11.
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| //  Copyright © 2018, Alibaba Group Holding Limited
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| //
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| 
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| #include "OpGrad.hpp"
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| using namespace std;
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| using namespace MNN;
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| using namespace MNN::Express;
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| 
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| class SliceGrad : public OpGrad {
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| public:
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|     virtual std::vector<Express::VARP> onGrad(Express::EXPRP expr,
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|                                               const std::vector<Express::VARP>& backwardOutput) override {
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|         MNN_ASSERT(expr->inputs().size() == 1);
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|         auto slice = expr->get()->main_as_Slice();
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|         auto axis  = slice->axis();
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|         std::vector<VARP> res{nullptr};
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|         std::vector<VARP> validBackward(backwardOutput.size());
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|         for (int i = 0; i < backwardOutput.size(); ++i) {
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|             auto origin = Variable::create(expr, i);
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|             if (nullptr != backwardOutput[i]) {
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|                 validBackward[i] = backwardOutput[i];
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|                 continue;
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|             }
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|             auto info = origin->getInfo();
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|             if (nullptr == info) {
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|                 MNN_ERROR("Error for sliceGrad's %d output\n", i);
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|                 return res;
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|             }
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|             validBackward[i] = _Const(0.0f, info->dim, info->order);
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|         }
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|         res[0] = _Concat(validBackward, axis);
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|         // FUNC_PRINT_ALL(_Sum(res[0], {})->readMap<float>()[0], f);
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|         return res;
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|     }
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| };
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| 
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| static const auto gRegister = []() {
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|     static SliceGrad _c;
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|     OpGrad::insert((int)OpType_Slice, &_c);
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|     return true;
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| }();
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