tensorflow::
   
  
   #include <array_ops.h>
  
  Returns the diagonal part of the tensor.
Summary
   This operation returns a tensor with the
   
    diagonal
   
   part of the
   
    input
   
   . The
   
    diagonal
   
   part is computed as follows:
  
   Assume
   
    input
   
   has dimensions
   
    [D1,..., Dk, D1,..., Dk]
   
   , then the output is a tensor of rank
   
    k
   
   with dimensions
   
    [D1,..., Dk]
   
   where:
  
   
    diagonal[i1,..., ik] = input[i1, ..., ik, i1,..., ik]
   
   .
  
For example:
# 'input' is [[1, 0, 0, 0]
              [0, 2, 0, 0]
              [0, 0, 3, 0]
              [0, 0, 0, 4]]
tf.diag_part(input) ==> [1, 2, 3, 4]
Args:
- scope: A Scope object
- input: Rank k tensor where k is even and not zero.
Returns:
- 
     Output: The extracted diagonal.
| Constructors and Destructors | |
|---|---|
| 
      
       DiagPart
      
      (const ::
      
       tensorflow::Scope
      
      & scope, ::
      
       tensorflow::Input
      
      input)
      | 
| Public attributes | |
|---|---|
| 
      
       diagonal
      
      | |
| 
      
       operation
      
      | |
| Public functions | |
|---|---|
| 
      
       node
      
      () const
      | 
       ::tensorflow::Node *
       | 
| 
      
       operator::tensorflow::Input
      
      () const
      | 
       | 
| 
      
       operator::tensorflow::Output
      
      () const
      | 
       | 
Public attributes
Public functions
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const