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			55 lines
		
	
	
		
			1.5 KiB
		
	
	
	
		
			C++
		
	
	
	
			
		
		
	
	
			55 lines
		
	
	
		
			1.5 KiB
		
	
	
	
		
			C++
		
	
	
	
| //
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| //  CPULinSpace.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 "backend/cpu/CPULinSpace.hpp"
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| #include "backend/cpu/CPUBackend.hpp"
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| 
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| namespace MNN {
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| ErrorCode CPULinSpace::onExecute(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs) {
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|     MNN_ASSERT(inputs.size() == 3);
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|     MNN_ASSERT(outputs.size() == 1);
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|     const float start = inputs[0]->host<float>()[0];
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|     const float stop = inputs[1]->host<float>()[0];
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|     const int num = inputs[2]->host<int32_t>()[0];
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|     MNN_ASSERT(num > 0);
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| 
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|     float* outputData = outputs[0]->host<float>();
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| 
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|     if (num == 1) {
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|         outputData[0] = start;
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|         return NO_ERROR;
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|     }
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| 
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|     if (num == 2) {
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|         outputData[0] = start;
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|         outputData[1] = stop;
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|         return NO_ERROR;
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|     }
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|     
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|     // make sure that start with the first and end with the last.
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|     outputData[0] = start;
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|     outputData[num - 1] = stop;
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|     const float step = (stop - start) / (num - 1);
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|     for (int i = 1; i < num - 1; ++i) {
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|         outputData[i] = start + i * step;
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|     }
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| 
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|     return NO_ERROR;
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| }
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| 
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| class CPULinSpaceCreator : public CPUBackend::Creator {
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| public:
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|     virtual Execution* onCreate(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs,
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|                                 const MNN::Op* op, Backend* backend) const {
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|         return new CPULinSpace(backend);
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|     }
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| };
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| 
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| REGISTER_CPU_OP_CREATOR(CPULinSpaceCreator, OpType_LinSpace);
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| } // namespace MNN
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