# tf.diag_part(input, name=None)

### tf.diag_part(input, name=None)

See the guide: Math > Matrix Math Functions

Returns the diagonal part of the tensor.

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:

• input: A Tensor. Must be one of the following types: float32, float64, int32, int64, complex64, complex128. Rank k tensor where k is 2, 4, or 6.
• name: A name for the operation (optional).

#### Returns:

A Tensor. Has the same type as input. The extracted diagonal.

Defined in tensorflow/python/ops/gen_array_ops.py.