# tensorflow--math--3--矩阵数学函数--tf.eye

tf.eye
tf.linalg.eye


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


tensorflow/python/ops/linalg_ops.py.


See the guide: Math > Matrix Math Functions

## 例子

#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=)


#建立 2 x 3 “identity” matrix

tf.eye(2, num_columns=3)
==> [[ 1.,  0.,  0.],
[ 0.,  1.,  0.]]


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]


## 参考资料

https://www.tensorflow.org/api_docs/python/tf/eye 