# tf.linalg.tensor_diag_part

Defined in generated file: `python/ops/gen_array_ops.py`

Returns the diagonal part of the tensor.

### Aliases:

• `tf.compat.v1.diag_part`
• `tf.compat.v1.linalg.tensor_diag_part`
• `tf.compat.v2.linalg.tensor_diag_part`
``````tf.linalg.tensor_diag_part(
input,
name=None
)
``````

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: `bfloat16`, `half`, `float32`, `float64`, `int32`, `int64`, `complex64`, `complex128`. Rank k tensor where k is even and not zero.
• `name`: A name for the operation (optional).

#### Returns:

A `Tensor`. Has the same type as `input`.