# tf.eye

### Aliases:

• tf.eye
• tf.linalg.eye
tf.eye(
num_rows,
num_columns=None,
batch_shape=None,
dtype=tf.float32,
name=None
)


See the guide: Math > Matrix Math Functions

Construct an identity matrix, or a batch of matrices.

# Construct one identity matrix.
tf.eye(2)
==> [[1., 0.],
[0., 1.]]

# Construct a batch of 3 identity matricies, each 2 x 2.
# batch_identity[i, :, :] is a 2 x 2 identity matrix, i = 0, 1, 2.
batch_identity = tf.eye(2, batch_shape=[3])

# Construct one 2 x 3 "identity" matrix
tf.eye(2, num_columns=3)
==> [[ 1.,  0.,  0.],
[ 0.,  1.,  0.]]


#### Args:

• num_rows: Non-negative int32 scalar Tensor giving the number of rows in each batch matrix.
• num_columns: Optional non-negative int32 scalar Tensor giving the number of columns in each batch matrix. Defaults to num_rows.
• batch_shape: A list or tuple of Python integers or a 1-D int32 Tensor. If provided, the returned Tensor will have leading batch dimensions of this shape.
• dtype: The type of an element in the resulting Tensor
• name: A name for this Op. Defaults to "eye".

#### Returns:

A Tensor of shape batch_shape + [num_rows, num_columns]