torch_api.F File Reference

#include "./base/base_uses.f90"

Go to the source code of this file.

Data Types
type	torch_api::torch_dict_type
type	torch_api::torch_model_type
interface	torch_api::torch_dict_insert
interface	torch_api::torch_dict_get

Modules
module	torch_api

Functions/Subroutines
subroutine, public	torch_api::torch_dict_create (dict)
	Creates an empty Torch dictionary.
subroutine, public	torch_api::torch_dict_release (dict)
	Releases a Torch dictionary and all its ressources.
subroutine, public	torch_api::torch_model_load (model, filename)
	Loads a Torch model from given "*.pth" file. (In Torch lingo models are called modules)
subroutine, public	torch_api::torch_model_eval (model, inputs, outputs)
	Evaluates the given Torch model. (In Torch lingo this operation is called forward())
subroutine, public	torch_api::torch_model_release (model)
	Releases a Torch model and all its ressources.
character(:) function, allocatable, public	torch_api::torch_model_read_metadata (filename, key)
	Reads metadata entry from given "*.pth" file. (In Torch lingo they are called extra files)
logical function, public	torch_api::torch_cuda_is_available ()
	Returns true iff the Torch CUDA backend is available.
subroutine, public	torch_api::torch_allow_tf32 (allow_tf32)
	Set whether to allow the use of TF32. Needed due to changes in defaults from pytorch 1.7 to 1.11 to >=1.12 See https://pytorch.org/docs/stable/notes/cuda.html.
subroutine, public	torch_api::torch_model_freeze (model)
	Freeze the given Torch model: applies generic optimization that speed up model. See https://pytorch.org/docs/stable/generated/torch.jit.freeze.html.