tensorflow:: ops:: DiagPart
  #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]
Arguments:
- scope: A Scope object
 - input: Rank k tensor where k is even and not zero.
 
Returns:
Output: The extracted diagonal.
        Constructors and Destructors | 
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        DiagPart(const ::tensorflow::Scope & scope, ::tensorflow::Input input)
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        Public attributes | 
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        diagonal
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        operation
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        Public functions | 
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        node() const 
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        ::tensorflow::Node *
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        operator::tensorflow::Input() const 
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        operator::tensorflow::Output() const 
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Public attributes
diagonal
::tensorflow::Output diagonal
operation
Operation operation
Public functions
DiagPart
DiagPart( const ::tensorflow::Scope & scope, ::tensorflow::Input input )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const