tf.eye
Construct an identity matrix, or a batch of matrices.
tf.eye(
num_rows, num_columns=None, batch_shape=None, dtype=tf.dtypes.float32, name=None
)
See also tf.ones, tf.zeros, tf.fill, tf.one_hot.
# Construct one identity matrix.
tf.eye(2)
==> [[1., 0.],
[0., 1.]]
# Construct a batch of 3 identity matrices, 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] |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/eye