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Public Member Functions
torch::optim::Optimizer Class Referenceabstract

Optimizer that defines a required step() method that takes no arguments and produces no values. More...

#include <optimizer.h>

Inheritance diagram for torch::optim::Optimizer:
torch::optim::detail::OptimizerBase torch::optim::Adagrad torch::optim::Adam torch::optim::RMSprop torch::optim::SGD

Public Member Functions

virtual void step ()=0
 
- Public Member Functions inherited from torch::optim::detail::OptimizerBase
 OptimizerBase (std::vector< Tensor > parameters)
 Constructs the Optimizer from a vector of parameters.
 
void add_parameters (const std::vector< Tensor > &parameters)
 Adds the given vector of parameters to the optimizer's parameter list.
 
virtual void zero_grad ()
 Zeros out the gradients of all parameters.
 
const std::vector< Tensor > & parameters () const noexcept
 Provides a const reference to the parameters this optimizer holds.
 
std::vector< Tensor > & parameters () noexcept
 Provides a reference to the parameters this optimizer holds.
 
size_t size () const noexcept
 Returns the number of parameters referenced by the optimizer.
 
virtual void save (serialize::OutputArchive &archive) const
 Serializes the optimizer state into the given archive.
 
virtual void load (serialize::InputArchive &archive)
 Deserializes the optimizer state from the given archive.
 

Additional Inherited Members

- Protected Member Functions inherited from torch::optim::detail::OptimizerBase
template<typename T >
Tbuffer_at (std::vector< T > &buffers, size_t index)
 Accesses a buffer at the given index. More...
 
Tensorbuffer_at (std::vector< Tensor > &buffers, size_t index)
 Accesses a buffer at the given index, converts it to the type of the parameter at the corresponding index (a no-op if they match). More...
 
- Protected Attributes inherited from torch::optim::detail::OptimizerBase
std::vector< Tensorparameters_
 The parameters this optimizer optimizes.
 

Detailed Description

Optimizer that defines a required step() method that takes no arguments and produces no values.

The only side effect is that parameters are updated according to the concrete optimization algorithm.

Definition at line 100 of file optimizer.h.


The documentation for this class was generated from the following file: