# tf.linalg.diag_part

### Aliases:

• `tf.linalg.diag_part`
• `tf.matrix_diag_part`
``````tf.linalg.diag_part(
input,
name=None
)
``````

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

See the guide: Math > Matrix Math Functions

Returns the batched diagonal part of a batched tensor.

This operation returns a tensor with the `diagonal` part of the batched `input`. The `diagonal` part is computed as follows:

Assume `input` has `k` dimensions `[I, J, K, ..., M, N]`, then the output is a tensor of rank `k - 1` with dimensions `[I, J, K, ..., min(M, N)]` where:

`diagonal[i, j, k, ..., n] = input[i, j, k, ..., n, n]`.

The input must be at least a matrix.

For example:

``````# 'input' is [[[1, 0, 0, 0]
[0, 2, 0, 0]
[0, 0, 3, 0]
[0, 0, 0, 4]],
[[5, 0, 0, 0]
[0, 6, 0, 0]
[0, 0, 7, 0]
[0, 0, 0, 8]]]

and input.shape = (2, 4, 4)

tf.matrix_diag_part(input) ==> [[1, 2, 3, 4], [5, 6, 7, 8]]

which has shape (2, 4)
``````

#### Args:

• `input`: A `Tensor`. Rank `k` tensor where `k >= 2`.
• `name`: A name for the operation (optional).

#### Returns:

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