operator (**) Interface

public interface operator (**)

Calls

interface~~operator (ASTERISKASTERISK)~~CallsGraph interface~operator (ASTERISKASTERISK) operator (**) proc~torch_tensor_power_int16 torch_tensor_power_int16 interface~operator (ASTERISKASTERISK)->proc~torch_tensor_power_int16 proc~torch_tensor_power_int32 torch_tensor_power_int32 interface~operator (ASTERISKASTERISK)->proc~torch_tensor_power_int32 proc~torch_tensor_power_int64 torch_tensor_power_int64 interface~operator (ASTERISKASTERISK)->proc~torch_tensor_power_int64 proc~torch_tensor_power_int8 torch_tensor_power_int8 interface~operator (ASTERISKASTERISK)->proc~torch_tensor_power_int8 proc~torch_tensor_power_real32 torch_tensor_power_real32 interface~operator (ASTERISKASTERISK)->proc~torch_tensor_power_real32 proc~torch_tensor_power_real64 torch_tensor_power_real64 interface~operator (ASTERISKASTERISK)->proc~torch_tensor_power_real64 proc~torch_tensor_empty torch_tensor_empty proc~torch_tensor_power_int16->proc~torch_tensor_empty proc~torch_tensor_get_device_index torch_tensor%torch_tensor_get_device_index proc~torch_tensor_power_int16->proc~torch_tensor_get_device_index proc~torch_tensor_get_device_type torch_tensor%torch_tensor_get_device_type proc~torch_tensor_power_int16->proc~torch_tensor_get_device_type proc~torch_tensor_get_dtype torch_tensor%torch_tensor_get_dtype proc~torch_tensor_power_int16->proc~torch_tensor_get_dtype proc~torch_tensor_get_rank torch_tensor%torch_tensor_get_rank proc~torch_tensor_power_int16->proc~torch_tensor_get_rank proc~torch_tensor_get_shape torch_tensor%torch_tensor_get_shape proc~torch_tensor_power_int16->proc~torch_tensor_get_shape proc~torch_tensor_requires_grad torch_tensor%torch_tensor_requires_grad proc~torch_tensor_power_int16->proc~torch_tensor_requires_grad proc~torch_tensor_power_int32->proc~torch_tensor_empty proc~torch_tensor_power_int32->proc~torch_tensor_get_device_index proc~torch_tensor_power_int32->proc~torch_tensor_get_device_type proc~torch_tensor_power_int32->proc~torch_tensor_get_dtype proc~torch_tensor_power_int32->proc~torch_tensor_get_rank proc~torch_tensor_power_int32->proc~torch_tensor_get_shape proc~torch_tensor_power_int32->proc~torch_tensor_requires_grad proc~torch_tensor_power_int64->proc~torch_tensor_empty proc~torch_tensor_power_int64->proc~torch_tensor_get_device_index proc~torch_tensor_power_int64->proc~torch_tensor_get_device_type proc~torch_tensor_power_int64->proc~torch_tensor_get_dtype proc~torch_tensor_power_int64->proc~torch_tensor_get_rank proc~torch_tensor_power_int64->proc~torch_tensor_get_shape proc~torch_tensor_power_int64->proc~torch_tensor_requires_grad proc~torch_tensor_power_int8->proc~torch_tensor_empty proc~torch_tensor_power_int8->proc~torch_tensor_get_device_index proc~torch_tensor_power_int8->proc~torch_tensor_get_device_type proc~torch_tensor_power_int8->proc~torch_tensor_get_dtype proc~torch_tensor_power_int8->proc~torch_tensor_get_rank proc~torch_tensor_power_int8->proc~torch_tensor_get_shape proc~torch_tensor_power_int8->proc~torch_tensor_requires_grad proc~torch_tensor_power_real32->proc~torch_tensor_empty proc~torch_tensor_power_real32->proc~torch_tensor_get_device_index proc~torch_tensor_power_real32->proc~torch_tensor_get_device_type proc~torch_tensor_power_real32->proc~torch_tensor_get_dtype proc~torch_tensor_power_real32->proc~torch_tensor_get_rank proc~torch_tensor_power_real32->proc~torch_tensor_get_shape proc~torch_tensor_power_real32->proc~torch_tensor_requires_grad proc~torch_tensor_power_real64->proc~torch_tensor_empty proc~torch_tensor_power_real64->proc~torch_tensor_get_device_index proc~torch_tensor_power_real64->proc~torch_tensor_get_device_type proc~torch_tensor_power_real64->proc~torch_tensor_get_dtype proc~torch_tensor_power_real64->proc~torch_tensor_get_rank proc~torch_tensor_power_real64->proc~torch_tensor_get_shape proc~torch_tensor_power_real64->proc~torch_tensor_requires_grad proc~torch_tensor_get_shape->proc~torch_tensor_get_rank

Module Procedures

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

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

Arguments

Type IntentOptional 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 IntentOptional 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 IntentOptional 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 IntentOptional 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 IntentOptional 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 IntentOptional 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