Optimizer that defines a required step()
method that takes no arguments and produces no values.
More...
#include <optimizer.h>
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 > ¶meters) |
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 > | |
T & | buffer_at (std::vector< T > &buffers, size_t index) |
Accesses a buffer at the given index. More... | |
Tensor & | buffer_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< Tensor > | parameters_ |
The parameters this optimizer optimizes. | |
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.