tf.zeros_like
Creates a tensor with all elements set to zero.
tf.zeros_like(
tensor, dtype=None, name=None, optimize=True
)
Given a single tensor (tensor), this operation returns a tensor of the same type and shape as tensor with all elements set to zero. Optionally, you can use dtype to specify a new type for the returned tensor.
For example:
tensor = tf.constant([[1, 2, 3], [4, 5, 6]])
tf.zeros_like(tensor) # [[0, 0, 0], [0, 0, 0]]
| Args | |
|---|---|
tensor |
A Tensor. |
dtype |
A type for the returned Tensor. Must be float16, float32, float64, int8, uint8, int16, uint16, int32, int64, complex64, complex128, bool or string. |
name |
A name for the operation (optional). |
optimize |
if true, attempt to statically determine the shape of 'tensor' and encode it as a constant. |
| 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/r1.15/api_docs/python/tf/zeros_like