Construct an identity matrix, or a batch of matrices.
tfp.experimental.distributions.marginal_fns.ps.eye(
num_rows,
num_columns=None,
batch_shape=None,
dtype=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.]]
Returns | |
---|---|
A Tensor of shape batch_shape + [num_rows, num_columns]
|