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tf.zeros_like

Creates a tensor with all elements set to zero.

See also tf.zeros.

Given a single tensor or array-like object (input), this operation returns a tensor of the same type and shape as input with all elements set to zero. Optionally, you can use dtype to specify a new type for the returned tensor.

Examples:

tensor = tf.constant([[1, 2, 3], [4, 5, 6]])
tf.zeros_like(tensor)
<tf.Tensor: shape=(2, 3), dtype=int32, numpy=
array([[0, 0, 0],
       [0, 0, 0]], dtype=int32)>
tf.zeros_like(tensor, dtype=tf.float32)
<tf.Tensor: shape=(2, 3), dtype=float32, numpy=
array([[0., 0., 0.],
       [0., 0., 0.]], dtype=float32)>
tf.zeros_like([[1, 2, 3], [4, 5, 6]])
<tf.Tensor: shape=(2, 3), dtype=int32, numpy=
array([[0, 0, 0],
       [0, 0, 0]], dtype=int32)>
Args
input A Tensor or array-like object.
dtype A type for the returned Tensor. Must be float16, float32, float64, int8, uint8, int16, uint16, int32, int64, complex64, complex128, bool or string (optional).
name A name for the operation (optional).
Returns
A Tensor with all elements set to zero.

© 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/r2.4/api_docs/python/tf/zeros_like