torch_tensor_multiply Function

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

Uses

  • proc~~torch_tensor_multiply~~UsesGraph proc~torch_tensor_multiply torch_tensor_multiply iso_c_binding iso_c_binding proc~torch_tensor_multiply->iso_c_binding

Overloads multiplication operator for two tensors.

Arguments

Type IntentOptional 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


Calls

proc~~torch_tensor_multiply~~CallsGraph proc~torch_tensor_multiply torch_tensor_multiply interface~torch_tensor_multiply_c torch_tensor_multiply_c proc~torch_tensor_multiply->interface~torch_tensor_multiply_c proc~torch_tensor_empty torch_tensor_empty proc~torch_tensor_multiply->proc~torch_tensor_empty proc~torch_tensor_get_device_index torch_tensor%torch_tensor_get_device_index proc~torch_tensor_multiply->proc~torch_tensor_get_device_index proc~torch_tensor_get_device_type torch_tensor%torch_tensor_get_device_type proc~torch_tensor_multiply->proc~torch_tensor_get_device_type proc~torch_tensor_get_dtype torch_tensor%torch_tensor_get_dtype proc~torch_tensor_multiply->proc~torch_tensor_get_dtype proc~torch_tensor_requires_grad torch_tensor%torch_tensor_requires_grad proc~torch_tensor_multiply->proc~torch_tensor_requires_grad

Called by

proc~~torch_tensor_multiply~~CalledByGraph proc~torch_tensor_multiply torch_tensor_multiply interface~operator (ASTERISK) operator (*) interface~operator (ASTERISK)->proc~torch_tensor_multiply

Source Code

  function torch_tensor_multiply(tensor1, tensor2) result(output)
    use, intrinsic :: iso_c_binding, only : c_associated
    type(torch_tensor), intent(in) :: tensor1  !! First tensor to be multiplied
    type(torch_tensor), intent(in) :: tensor2  !! Second tensor to be multiplied
    type(torch_tensor) :: output               !! Tensor to hold the product

    if (tensor1%device_type() /= tensor2%device_type()) then
      write(*,*) "Error :: cannot multiply tensors with different device types"
      stop 1
    end if
    if (tensor1%device_index() /= tensor2%device_index()) then
      write(*,*) "Error :: cannot multiply tensors with different device indices"
      stop 1
    end if

    if (.not. c_associated(output%p)) then
      call torch_tensor_empty(output, tensor1%rank(), tensor1%shape(), &
                              tensor1%dtype(), tensor1%device_type(), &
                              device_index=tensor1%device_index(), &
                              requires_grad=tensor1%requires_grad())
    end if
    call torch_tensor_multiply_c(output%p, tensor1%p, tensor2%p)
  end function torch_tensor_multiply