ftorch_loss Module

Module for the FTorch torch_model type and associated procedures.

License FTorch is released under an MIT license. See the LICENSE file for details.

Uses

Help

Graph Key

Nodes of different colours represent the following:

Solid arrows point from a submodule to the (sub)module which it is descended from. Dashed arrows point from a module or program unit to modules which it uses.

Used by

Help

Graph Key

Nodes of different colours represent the following:

Solid arrows point from a submodule to the (sub)module which it is descended from. Dashed arrows point from a module or program unit to modules which it uses.

Subroutines

public subroutine torch_loss_cross_entropy(loss_tensor, input_tensor, target_tensor, reduction_type)

Evaluate CrossEntropyLoss

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(inout)			::	loss_tensor	Tensor to hold the loss value
type(torch_tensor),	intent(in)			::	input_tensor	Input tensor to evaluate loss at
type(torch_tensor),	intent(in)			::	target_tensor	Target tensor to evaluate loss against
integer,	intent(in),	optional		::	reduction_type	Optional reduction type (default: torch_kMean)

public subroutine torch_loss_mse(loss_tensor, input_tensor, target_tensor, reduction_type)

Evaluate MSELoss

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(inout)			::	loss_tensor	Tensor to hold the loss value
type(torch_tensor),	intent(in)			::	input_tensor	Input tensor to evaluate loss at
type(torch_tensor),	intent(in)			::	target_tensor	Target tensor to evaluate loss against
integer,	intent(in),	optional		::	reduction_type	Reduction type to use over batches (default: torch_kMean)