ftorch_tensor – FTorch

Module for the FTorch torch_tensor type and associated procedures. Generated from ftorch_tensor.fypp using the fypp Fortran preprocessor.

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.

Interfaces

public interface assignment (=)

public subroutine torch_tensor_assign(output, input)

Overloads assignment operator for tensors.

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(inout)			::	output	Tensor to assign values to
type(torch_tensor),	intent(in)			::	input	Tensor whose values are to be used

public interface operator (*)

public function torch_tensor_multiply(tensor1, tensor2) result(output)

Overloads multiplication operator for two tensors.

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor1	First tensor to be multiplied
type(torch_tensor),	intent(in)			::	tensor2	Second tensor to be multiplied

Return Value type(torch_tensor)

Tensor to hold the product

public interface operator (**)

public function torch_tensor_power_int8(tensor, power) result(output)

Overloads exponentiation operator for a tensor and a scalar of type int8

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor	Tensor to take the power of
integer(kind=int8),	intent(in),		target	::	power	Integer exponent

Return Value type(torch_tensor)

Tensor to hold the exponentiation

public function torch_tensor_power_int16(tensor, power) result(output)

Overloads exponentiation operator for a tensor and a scalar of type int16

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor	Tensor to take the power of
integer(kind=int16),	intent(in),		target	::	power	Integer exponent

Return Value type(torch_tensor)

Tensor to hold the exponentiation

public function torch_tensor_power_int32(tensor, power) result(output)

Overloads exponentiation operator for a tensor and a scalar of type int32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor	Tensor to take the power of
integer(kind=int32),	intent(in),		target	::	power	Integer exponent

Return Value type(torch_tensor)

Tensor to hold the exponentiation

public function torch_tensor_power_int64(tensor, power) result(output)

Overloads exponentiation operator for a tensor and a scalar of type int64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor	Tensor to take the power of
integer(kind=int64),	intent(in),		target	::	power	Integer exponent

Return Value type(torch_tensor)

Tensor to hold the exponentiation

public function torch_tensor_power_real32(tensor, power) result(output)

Overloads exponentiation operator for a tensor and a scalar of type real32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor	Tensor to take the power of
real(kind=real32),	intent(in),		target	::	power	Floating point exponent

Return Value type(torch_tensor)

Tensor to hold the exponentiation

public function torch_tensor_power_real64(tensor, power) result(output)

Overloads exponentiation operator for a tensor and a scalar of type real64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor	Tensor to take the power of
real(kind=real64),	intent(in),		target	::	power	Floating point exponent

Return Value type(torch_tensor)

Tensor to hold the exponentiation

public interface operator (+)

public function torch_tensor_add(tensor1, tensor2) result(output)

Overloads addition operator for two tensors.

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor1	First tensor to be added
type(torch_tensor),	intent(in)			::	tensor2	Second tensor to be added

Return Value type(torch_tensor)

Tensor to hold the sum

public interface operator (-)

public function torch_tensor_negative(tensor) result(output)

Overloads negative operator for a single tensor.

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor	Tensor to take the negative of

Return Value type(torch_tensor)

Tensor to hold the negative values

public function torch_tensor_subtract(tensor1, tensor2) result(output)

Overloads subtraction operator for two tensors.

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor1	First tensor for the subtraction
type(torch_tensor),	intent(in)			::	tensor2	Second tensor for the subtraction

Return Value type(torch_tensor)

Tensor to hold the difference

public interface operator (/)

public function torch_tensor_divide(tensor1, tensor2) result(output)

Overloads division operator for two tensors.

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor1	First tensor for the division
type(torch_tensor),	intent(in)			::	tensor2	Second tensor for the division

Return Value type(torch_tensor)

Tensor to hold the quotient

interface

public function torch_from_blob_c(data, ndims, tensor_shape, strides, dtype, device_type, device_index, requires_grad) result(tensor_p) bind(c, name = 'torch_from_blob')

Arguments

Type	Intent	Attributes		Name
type(c_ptr),	intent(in),	value	::	data
integer(kind=c_int),	intent(in),	value	::	ndims
integer(kind=c_int64_t),	intent(in)		::	tensor_shape(*)
integer(kind=c_int64_t),	intent(in)		::	strides(*)
integer(kind=c_int),	intent(in),	value	::	dtype
integer(kind=c_int),	intent(in),	value	::	device_type
integer(kind=c_int),	intent(in),	value	::	device_index
logical(kind=c_bool),	intent(in),	value	::	requires_grad

Return Value type(c_ptr)

interface

public subroutine torch_tensor_divide_c(output_c, tensor1_c, tensor2_c) bind(c, name = 'torch_tensor_divide')

Arguments

Type	Intent	Attributes		Name
type(c_ptr),	intent(in),	value	::	output_c
type(c_ptr),	intent(in),	value	::	tensor1_c
type(c_ptr),	intent(in),	value	::	tensor2_c

public interface torch_tensor_from_array

Interface for directing torch_tensor_from_array to possible input types and ranks

public subroutine torch_tensor_from_array_int8_1d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type int8

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int8),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(1)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int8_2d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type int8

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int8),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(2)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int8_3d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type int8

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int8),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(3)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int8_4d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type int8

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int8),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(4)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int8_5d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type int8

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int8),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(5)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int16_1d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type int16

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int16),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(1)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int16_2d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type int16

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int16),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(2)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int16_3d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type int16

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int16),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(3)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int16_4d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type int16

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int16),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(4)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int16_5d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type int16

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int16),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(5)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int32_1d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type int32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int32),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(1)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int32_2d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type int32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int32),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(2)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int32_3d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type int32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int32),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(3)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int32_4d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type int32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int32),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(4)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int32_5d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type int32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int32),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(5)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int64_1d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type int64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int64),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(1)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int64_2d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type int64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int64),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(2)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int64_3d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type int64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int64),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(3)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int64_4d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type int64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int64),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(4)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int64_5d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type int64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int64),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(5)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real32_1d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type real32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real32),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(1)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real32_2d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type real32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real32),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(2)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real32_3d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type real32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real32),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(3)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real32_4d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type real32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real32),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(4)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real32_5d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type real32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real32),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(5)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real64_1d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type real64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real64),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(1)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real64_2d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type real64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real64),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(2)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real64_3d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type real64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real64),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(3)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real64_4d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type real64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real64),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(4)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real64_5d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type real64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real64),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(5)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int8_1d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type int8 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int8),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int8_2d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type int8 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int8),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int8_3d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type int8 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int8),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int8_4d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type int8 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int8),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int8_5d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type int8 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int8),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int16_1d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type int16 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int16),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int16_2d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type int16 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int16),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int16_3d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type int16 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int16),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int16_4d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type int16 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int16),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int16_5d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type int16 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int16),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int32_1d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type int32 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int32),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int32_2d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type int32 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int32),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int32_3d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type int32 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int32),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int32_4d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type int32 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int32),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int32_5d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type int32 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int32),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int64_1d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type int64 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int64),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int64_2d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type int64 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int64),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int64_3d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type int64 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int64),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int64_4d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type int64 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int64),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int64_5d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type int64 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int64),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real32_1d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type real32 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real32),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real32_2d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type real32 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real32),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real32_3d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type real32 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real32),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real32_4d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type real32 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real32),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real32_5d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type real32 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real32),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real64_1d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type real64 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real64),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real64_2d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type real64 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real64),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real64_3d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type real64 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real64),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real64_4d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type real64 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real64),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real64_5d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type real64 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real64),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

interface

public subroutine torch_tensor_multiply_c(output_c, tensor1_c, tensor2_c) bind(c, name = 'torch_tensor_multiply')

Arguments

Type	Intent	Attributes		Name
type(c_ptr),	intent(in),	value	::	output_c
type(c_ptr),	intent(in),	value	::	tensor1_c
type(c_ptr),	intent(in),	value	::	tensor2_c

Derived Types

type, public :: torch_tensor

Type for holding a Torch tensor.

Components

Type	Visibility	Attributes		Name		Initial
type(c_ptr),	public		::	p	=	c_null_ptr	pointer to the tensor in memory

Finalizations Procedures

final :: torch_tensor_delete

Type-Bound Procedures

procedure, public :: get_device_index => torch_tensor_get_device_index
procedure, public :: get_device_type => torch_tensor_get_device_type
procedure, public :: get_dtype => torch_tensor_get_dtype
procedure, public :: get_rank => torch_tensor_get_rank
procedure, public :: get_shape => torch_tensor_get_shape
procedure, public :: get_stride => torch_tensor_get_stride
procedure, public :: print => torch_tensor_print
procedure, public :: requires_grad => torch_tensor_requires_grad
procedure, public :: zero => torch_tensor_zero
procedure, public :: zero_grad => torch_tensor_zero_grad

Functions

public function torch_tensor_add(tensor1, tensor2) result(output)

Overloads addition operator for two tensors.

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor1	First tensor to be added
type(torch_tensor),	intent(in)			::	tensor2	Second tensor to be added

Return Value type(torch_tensor)

Tensor to hold the sum

public function torch_tensor_divide(tensor1, tensor2) result(output)

Overloads division operator for two tensors.

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor1	First tensor for the division
type(torch_tensor),	intent(in)			::	tensor2	Second tensor for the division

Return Value type(torch_tensor)

Tensor to hold the quotient

public function torch_tensor_get_device_index(self) result(device_index)

Determines the device index of a tensor.

Arguments

Type	Intent	Optional	Attributes		Name
class(torch_tensor),	intent(in)			::	self	Tensor to get the device index of

Return Value integer(kind=c_int)

Device index of tensor

public function torch_tensor_get_device_type(self) result(device_type)

Returns the device type of a tensor.

Arguments

Type	Intent	Optional	Attributes		Name
class(torch_tensor),	intent(in)			::	self	Tensor to get the device type of

Return Value integer(kind=c_int)

Device type of tensor

public function torch_tensor_get_dtype(self) result(dtype)

Returns the data type of a tensor.

Arguments

Type	Intent	Optional	Attributes		Name
class(torch_tensor),	intent(in)			::	self	Tensor to get the data type of

Return Value integer(kind=c_int)

Data type of tensor

public function torch_tensor_get_rank(self) result(rank)

Determines the rank of a tensor.

Arguments

Type	Intent	Optional	Attributes		Name
class(torch_tensor),	intent(in)			::	self	Tensor to get the rank of

Return Value integer(kind=int32)

Rank of tensor

public function torch_tensor_get_shape(self) result(sizes)

Determines the shape of a tensor.

Arguments

Type	Intent	Optional	Attributes		Name
class(torch_tensor),	intent(in)			::	self	Tensor to get the shape of

Return Value integer(kind=c_int64_t), pointer, (:)

Pointer to tensor data

public function torch_tensor_get_stride(self) result(strides)

Return the strides of the tensor

Arguments

Type	Intent	Optional	Attributes		Name
class(torch_tensor),	intent(in)			::	self	Tensor to get the strides of

Return Value integer(kind=c_int64_t), pointer, (:)

Pointer to tensor data

public function torch_tensor_multiply(tensor1, tensor2) result(output)

Overloads multiplication operator for two tensors.

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor1	First tensor to be multiplied
type(torch_tensor),	intent(in)			::	tensor2	Second tensor to be multiplied

Return Value type(torch_tensor)

Tensor to hold the product

public function torch_tensor_negative(tensor) result(output)

Overloads negative operator for a single tensor.

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor	Tensor to take the negative of

Return Value type(torch_tensor)

Tensor to hold the negative values

public function torch_tensor_power_int16(tensor, power) result(output)

Overloads exponentiation operator for a tensor and a scalar of type int16

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor	Tensor to take the power of
integer(kind=int16),	intent(in),		target	::	power	Integer exponent

Return Value type(torch_tensor)

Tensor to hold the exponentiation

public function torch_tensor_power_int32(tensor, power) result(output)

Overloads exponentiation operator for a tensor and a scalar of type int32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor	Tensor to take the power of
integer(kind=int32),	intent(in),		target	::	power	Integer exponent

Return Value type(torch_tensor)

Tensor to hold the exponentiation

public function torch_tensor_power_int64(tensor, power) result(output)

Overloads exponentiation operator for a tensor and a scalar of type int64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor	Tensor to take the power of
integer(kind=int64),	intent(in),		target	::	power	Integer exponent

Return Value type(torch_tensor)

Tensor to hold the exponentiation

public function torch_tensor_power_int8(tensor, power) result(output)

Overloads exponentiation operator for a tensor and a scalar of type int8

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor	Tensor to take the power of
integer(kind=int8),	intent(in),		target	::	power	Integer exponent

Return Value type(torch_tensor)

Tensor to hold the exponentiation

public function torch_tensor_power_real32(tensor, power) result(output)

Overloads exponentiation operator for a tensor and a scalar of type real32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor	Tensor to take the power of
real(kind=real32),	intent(in),		target	::	power	Floating point exponent

Return Value type(torch_tensor)

Tensor to hold the exponentiation

public function torch_tensor_power_real64(tensor, power) result(output)

Overloads exponentiation operator for a tensor and a scalar of type real64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor	Tensor to take the power of
real(kind=real64),	intent(in),		target	::	power	Floating point exponent

Return Value type(torch_tensor)

Tensor to hold the exponentiation

public function torch_tensor_requires_grad(self) result(requires_grad)

Determines whether a tensor requires the autograd module.

Arguments

Type	Intent	Optional	Attributes		Name
class(torch_tensor),	intent(in)			::	self	Tensor to query

Return Value logical

Whether the tensor requires autograd

public function torch_tensor_subtract(tensor1, tensor2) result(output)

Overloads subtraction operator for two tensors.

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor1	First tensor for the subtraction
type(torch_tensor),	intent(in)			::	tensor2	Second tensor for the subtraction

Return Value type(torch_tensor)

Tensor to hold the difference

Subroutines

public subroutine torch_tensor_array_delete(tensor_array)

Deallocates an array of tensors.

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(inout),		dimension(:)	::	tensor_array	Array of tensors to deallocate

public subroutine torch_tensor_assign(output, input)

Overloads assignment operator for tensors.

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(inout)			::	output	Tensor to assign values to
type(torch_tensor),	intent(in)			::	input	Tensor whose values are to be used

public subroutine torch_tensor_backward(tensor, retain_graph)

Performs back-propagation on a Torch Tensor, given some external gradient.

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(in)			::	tensor	Tensor to compute gradients of
logical,	intent(in),	optional		::	retain_graph	Should the computational graph be retained?

public subroutine torch_tensor_delete(tensor)

Deallocates a tensor.

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(inout)			::	tensor	Tensor to deallocate

public subroutine torch_tensor_empty(tensor, ndims, tensor_shape, dtype, device_type, device_index, requires_grad)

Returns a tensor with uninitialised values.

Arguments

Type	Intent	Optional		Name
type(torch_tensor),	intent(out)		::	tensor	Returned tensor
integer(kind=c_int),	intent(in)		::	ndims	Number of dimensions of the tensor
integer(kind=c_int64_t),	intent(in)		::	tensor_shape(:)	Shape of the tensor
integer(kind=c_int),	intent(in)		::	dtype	Data type of the tensor
integer(kind=c_int),	intent(in)		::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional	::	device_index	Device index for GPU devices
logical,	intent(in),	optional	::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int16_1d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type int16

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int16),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(1)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int16_1d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type int16 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int16),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int16_2d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type int16

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int16),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(2)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int16_2d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type int16 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int16),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int16_3d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type int16

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int16),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(3)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int16_3d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type int16 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int16),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int16_4d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type int16

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int16),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(4)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int16_4d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type int16 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int16),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int16_5d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type int16

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int16),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(5)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int16_5d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type int16 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int16),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int32_1d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type int32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int32),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(1)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int32_1d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type int32 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int32),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int32_2d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type int32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int32),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(2)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int32_2d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type int32 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int32),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int32_3d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type int32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int32),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(3)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int32_3d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type int32 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int32),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int32_4d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type int32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int32),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(4)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int32_4d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type int32 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int32),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int32_5d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type int32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int32),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(5)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int32_5d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type int32 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int32),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int64_1d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type int64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int64),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(1)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int64_1d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type int64 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int64),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int64_2d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type int64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int64),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(2)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int64_2d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type int64 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int64),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int64_3d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type int64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int64),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(3)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int64_3d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type int64 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int64),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int64_4d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type int64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int64),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(4)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int64_4d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type int64 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int64),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int64_5d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type int64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int64),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(5)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int64_5d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type int64 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int64),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int8_1d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type int8

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int8),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(1)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int8_1d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type int8 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int8),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int8_2d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type int8

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int8),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(2)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int8_2d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type int8 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int8),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int8_3d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type int8

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int8),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(3)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int8_3d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type int8 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int8),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int8_4d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type int8

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int8),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(4)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int8_4d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type int8 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int8),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int8_5d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type int8

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int8),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(5)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_int8_5d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type int8 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
integer(kind=int8),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real32_1d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type real32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real32),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(1)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real32_1d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type real32 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real32),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real32_2d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type real32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real32),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(2)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real32_2d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type real32 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real32),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real32_3d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type real32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real32),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(3)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real32_3d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type real32 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real32),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real32_4d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type real32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real32),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(4)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real32_4d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type real32 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real32),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real32_5d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type real32

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real32),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(5)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real32_5d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type real32 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real32),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real64_1d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type real64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real64),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(1)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real64_1d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 1 containing data of type real64 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real64),	intent(in),		target	::	data_in(:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real64_2d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type real64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real64),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(2)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real64_2d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 2 containing data of type real64 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real64),	intent(in),		target	::	data_in(:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real64_3d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type real64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real64),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(3)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real64_3d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 3 containing data of type real64 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real64),	intent(in),		target	::	data_in(:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real64_4d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type real64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real64),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(4)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real64_4d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 4 containing data of type real64 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real64),	intent(in),		target	::	data_in(:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real64_5d(tensor, data_in, layout, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type real64

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real64),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=ftorch_int),	intent(in)			::	layout(5)	Control order of indices
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_array_real64_5d_default_layout(tensor, data_in, device_type, device_index, requires_grad)

Return a Torch tensor pointing to data_in array of rank 5 containing data of type real64 with default layout [1, 2, ..., n].

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(out)			::	tensor	Returned tensor
real(kind=real64),	intent(in),		target	::	data_in(:,:,:,:,:)	Input data that tensor will point at
integer(kind=c_int),	intent(in)			::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional		::	device_index	Device index for GPU devices
logical,	intent(in),	optional		::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_from_blob(tensor, data, ndims, tensor_shape, layout, dtype, device_type, device_index, requires_grad)

Exposes the given data as a tensor without taking ownership of the original data. This routine will take an (i, j, k) array and return an (k, j, i) tensor.

Arguments

Type	Intent	Optional		Name
type(torch_tensor),	intent(out)		::	tensor	Returned tensor
type(c_ptr),	intent(in)		::	data	Pointer to data
integer(kind=c_int),	intent(in)		::	ndims	Number of dimensions of the tensor
integer(kind=c_int64_t),	intent(in)		::	tensor_shape(:)	Shape of the tensor
integer(kind=c_int),	intent(in)		::	layout(:)	Layout for strides for accessing data
integer(kind=c_int),	intent(in)		::	dtype	Data type of the tensor
integer(kind=c_int),	intent(in)		::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional	::	device_index	Device index for GPU devices
logical,	intent(in),	optional	::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_get_gradient(gradient, tensor)

Retrieves the gradient with respect to a Torch Tensor.

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(inout)			::	gradient	Tensor holding the gradient
type(torch_tensor),	intent(in)			::	tensor	Tensor to compute the gradient with respect to

public subroutine torch_tensor_mean(output, tensor)

Overloads mean operator over the values in a tensor.

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(inout)			::	output	Tensor holding the averaged values
type(torch_tensor),	intent(in)			::	tensor	Tensor to average the values of

public subroutine torch_tensor_ones(tensor, ndims, tensor_shape, dtype, device_type, device_index, requires_grad)

Returns a tensor filled with the scalar value 1.

Arguments

Type	Intent	Optional		Name
type(torch_tensor),	intent(out)		::	tensor	Returned tensor
integer(kind=c_int),	intent(in)		::	ndims	Number of dimensions of the tensor
integer(kind=c_int64_t),	intent(in)		::	tensor_shape(:)	Shape of the tensor
integer(kind=c_int),	intent(in)		::	dtype	Data type of the tensor
integer(kind=c_int),	intent(in)		::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional	::	device_index	Device index for GPU devices
logical,	intent(in),	optional	::	requires_grad	Whether gradients need to be computed for the created tensor

public subroutine torch_tensor_print(self)

Prints the contents of a tensor.

Arguments

Type	Intent	Optional	Attributes		Name
class(torch_tensor),	intent(in)			::	self	Tensor to print the contents of

public subroutine torch_tensor_sum(output, tensor)

Overloads summation operator over the values in a tensor.

Arguments

Type	Intent	Optional	Attributes		Name
type(torch_tensor),	intent(inout)			::	output	Tensor holding the summed values
type(torch_tensor),	intent(in)			::	tensor	Tensor to sum the values of

public subroutine torch_tensor_to(source_tensor, target_tensor, non_blocking)

Moves a source_tensor tensor to a target tensor's device and dtype

Arguments

Type	Intent	Optional		Name
type(torch_tensor),	intent(in)		::	source_tensor	Source tensor to be moved
type(torch_tensor),	intent(inout)		::	target_tensor	Target tensor with the desired device and dtype
logical,	intent(in),	optional	::	non_blocking	Whether to perform asynchronous copy

public subroutine torch_tensor_zero(tensor)

Fills a tensor with the scalar value 0.

Arguments

Type	Intent	Optional	Attributes		Name
class(torch_tensor),	intent(inout)			::	tensor	Tensor whose values are to be zeroed

public subroutine torch_tensor_zero_grad(tensor)

Resets a tensor's gradient to zero.

Arguments

Type	Intent	Optional	Attributes		Name
class(torch_tensor),	intent(inout)			::	tensor	Tensor to zero the gradient of

public subroutine torch_tensor_zeros(tensor, ndims, tensor_shape, dtype, device_type, device_index, requires_grad)

Returns a tensor filled with the scalar value 0.

Arguments

Type	Intent	Optional		Name
type(torch_tensor),	intent(out)		::	tensor	Returned tensor
integer(kind=c_int),	intent(in)		::	ndims	Number of dimensions of the tensor
integer(kind=c_int64_t),	intent(in)		::	tensor_shape(:)	Shape of the tensor
integer(kind=c_int),	intent(in)		::	dtype	Data type of the tensor
integer(kind=c_int),	intent(in)		::	device_type	Device type the tensor will live on (`torch_kCPU` or a GPU device type)
integer,	intent(in),	optional	::	device_index	Device index for GPU devices
logical,	intent(in),	optional	::	requires_grad	Whether gradients need to be computed for the created tensor

ftorch_tensor Module

Contents

Interfaces

Derived Types

Functions

Subroutines

Uses

Used by

Interfaces

public interface assignment (=)

public subroutine torch_tensor_assign(output, input)

Arguments

public interface operator (*)

public function torch_tensor_multiply(tensor1, tensor2) result(output)

Arguments

Return Value type(torch_tensor)

public interface operator (**)

public function torch_tensor_power_int8(tensor, power) result(output)

Arguments

Return Value type(torch_tensor)

public function torch_tensor_power_int16(tensor, power) result(output)

Arguments

Return Value type(torch_tensor)

public function torch_tensor_power_int32(tensor, power) result(output)

Arguments

Return Value type(torch_tensor)

public function torch_tensor_power_int64(tensor, power) result(output)

Arguments

Return Value type(torch_tensor)

public function torch_tensor_power_real32(tensor, power) result(output)

Arguments

Return Value type(torch_tensor)

public function torch_tensor_power_real64(tensor, power) result(output)

Arguments

Return Value type(torch_tensor)

public interface operator (+)

public function torch_tensor_add(tensor1, tensor2) result(output)

Arguments

Return Value type(torch_tensor)

public interface operator (-)

public function torch_tensor_negative(tensor) result(output)

Arguments

Return Value type(torch_tensor)

public function torch_tensor_subtract(tensor1, tensor2) result(output)

Arguments

Return Value type(torch_tensor)

public interface operator (/)

public function torch_tensor_divide(tensor1, tensor2) result(output)

Arguments

Return Value type(torch_tensor)

interface

public function torch_from_blob_c(data, ndims, tensor_shape, strides, dtype, device_type, device_index, requires_grad) result(tensor_p) bind(c, name = 'torch_from_blob')

Arguments

Return Value type(c_ptr)

interface

public subroutine torch_tensor_divide_c(output_c, tensor1_c, tensor2_c) bind(c, name = 'torch_tensor_divide')

Arguments

public interface torch_tensor_from_array

public subroutine torch_tensor_from_array_int8_1d(tensor, data_in, layout, device_type, device_index, requires_grad)

Arguments

public subroutine torch_tensor_from_array_int8_2d(tensor, data_in, layout, device_type, device_index, requires_grad)

Arguments

public subroutine torch_tensor_from_array_int8_3d(tensor, data_in, layout, device_type, device_index, requires_grad)

Arguments

public subroutine torch_tensor_from_array_int8_4d(tensor, data_in, layout, device_type, device_index, requires_grad)

Arguments

public subroutine torch_tensor_from_array_int8_5d(tensor, data_in, layout, device_type, device_index, requires_grad)

Arguments

public subroutine torch_tensor_from_array_int16_1d(tensor, data_in, layout, device_type, device_index, requires_grad)

Arguments

public subroutine torch_tensor_from_array_int16_2d(tensor, data_in, layout, device_type, device_index, requires_grad)

Arguments

public subroutine torch_tensor_from_array_int16_3d(tensor, data_in, layout, device_type, device_index, requires_grad)

Arguments

public subroutine torch_tensor_from_array_int16_4d(tensor, data_in, layout, device_type, device_index, requires_grad)

Arguments

public subroutine torch_tensor_from_array_int16_5d(tensor, data_in, layout, device_type, device_index, requires_grad)

Arguments

public subroutine torch_tensor_from_array_int32_1d(tensor, data_in, layout, device_type, device_index, requires_grad)

Arguments