torch_api.F File Reference

#include "./base/base_uses.f90"

Go to the source code of this file.

Data Types
type	torch_api::torch_tensor_type
type	torch_api::torch_dict_type
type	torch_api::torch_model_type
interface	torch_api::torch_tensor_from_array
interface	torch_api::torch_tensor_reset_from_array
interface	torch_api::torch_tensor_data_ptr
interface	torch_api::torch_model_get_attr

Modules
module	torch_api

Functions/Subroutines
subroutine, public	torch_api::torch_tensor_expand_dim (tensor, dim, extent, result)
	Creates an expanded tensor view along one singleton dimension.
subroutine, public	torch_api::torch_tensor_narrow (tensor, dim, start_index, length, result)
	Creates a view of a contiguous tensor slice.
subroutine, public	torch_api::torch_tensor_backward (tensor, outer_grad)
	Runs autograd on a Torch tensor.
subroutine, public	torch_api::torch_tensor_backward_scalar (tensor)
	Runs autograd on a scalar Torch tensor.
subroutine, public	torch_api::torch_tensor_to_device_leaf (tensor, requires_grad)
	Moves a tensor to the active Torch device and makes it an autograd leaf.
subroutine, public	torch_api::torch_use_cuda (use_cuda)
	Select whether Torch wrappers should use CUDA when available.
subroutine, public	torch_api::torch_tensor_grad (tensor, grad)
	Returns the gradient of a Torch tensor which was computed by autograd.
subroutine, public	torch_api::torch_tensor_weighted_sum (values, weights, result)
	Returns the weighted sum of two Torch tensors.
real(kind=dp) function, public	torch_api::torch_tensor_item_double (tensor)
	Returns a scalar double value from a Torch tensor.
subroutine, public	torch_api::torch_tensor_release (tensor)
	Releases a Torch tensor and all its ressources.
subroutine, public	torch_api::torch_dict_create (dict)
	Creates an empty Torch dictionary.
subroutine, public	torch_api::torch_dict_clone (source, target)
	Clones a Torch dictionary.
subroutine, public	torch_api::torch_dict_insert (dict, key, tensor)
	Inserts a Torch tensor into a Torch dictionary.
subroutine, public	torch_api::torch_dict_get (dict, key, tensor)
	Retrieves a Torch tensor from a 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_forward (model, inputs, outputs)
	Evaluates the given Torch model.
subroutine, public	torch_api::torch_model_forward_mol_tensor (model, method_name, inputs, output)
	Evaluates a TorchScript model method expecting keyword argument "mol".
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.
integer function, public	torch_api::torch_cuda_device_count ()
	Return the number of CUDA devices visible to Torch.
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.