# tf.matrix_diag

### Aliases:

• tf.linalg.diag
• tf.matrix_diag
tf.matrix_diag(
diagonal,
name=None
)


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

See the guide: Math > Matrix Math Functions

Returns a batched diagonal tensor with a given batched diagonal values.

Given a diagonal, this operation returns a tensor with the diagonal and everything else padded with zeros. The diagonal is computed as follows:

Assume diagonal has k dimensions [I, J, K, ..., N], then the output is a tensor of rank k+1 with dimensions [I, J, K, ..., N, N] where:

output[i, j, k, ..., m, n] = 1{m=n} * diagonal[i, j, k, ..., n].

For example:

# 'diagonal' is [[1, 2, 3, 4], [5, 6, 7, 8]]

and diagonal.shape = (2, 4)

tf.matrix_diag(diagonal) ==> [[[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]]]

which has shape (2, 4, 4)


#### Args:

• diagonal: A Tensor. Rank k, where k >= 1.
• name: A name for the operation (optional).

#### Returns:

A Tensor. Has the same type as diagonal`.