BlackCat_Tensors
A GPU-supported autograd and linear algebra library, designed for neural network construction
optimizer_base.h
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1 /*
2  * Adam.h
3  *
4  * Created on: Dec 11, 2019
5  * Author: joseph
6  */
7 
8 #ifndef BLACKCAT_TENSORS_NEURALNETWORKS_OPTIMIZERS_OPTIMIZER_BASE_H_
9 #define BLACKCAT_TENSORS_NEURALNETWORKS_OPTIMIZERS_OPTIMIZER_BASE_H_
10 
11 #include "optimizer_base.h"
12 
13 namespace bc {
14 namespace nn {
15 
17  void save(Layer_Loader& loader, std::string name) const {}
18  void load(Layer_Loader& loader, std::string name) {}
19 };
20 
21 }
22 }
23 
24 
25 
26 
27 #endif /* ADAM_H_ */
void save(Layer_Loader &loader, std::string name) const
Definition: optimizer_base.h:17
Definition: layer_loader.h:19
void load(Layer_Loader &loader, std::string name)
Definition: optimizer_base.h:18
Definition: optimizer_base.h:16
The Evaluator determines if an expression needs to be greedily optimized.
Definition: algorithms.h:22