tf.compat.v1.ones_like
Creates a tensor with all elements set to 1.
tf.compat.v1.ones_like(
    tensor, dtype=None, name=None, optimize=True
)
  See also tf.ones.
Given a single tensor (tensor), this operation returns a tensor of the same type and shape as tensor with all elements set to 1. Optionally, you can specify a new type (dtype) for the returned tensor.
For example:
tensor = tf.constant([[1, 2, 3], [4, 5, 6]]) tf.ones_like(tensor) # [[1, 1, 1], [1, 1, 1]]
| Args | |
|---|---|
 tensor  |   A Tensor.  |  
 dtype  |   A type for the returned Tensor. Must be float32, float64, int8, uint8, int16, uint16, int32, int64, complex64, complex128 or bool.  |  
 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 1.  |  
    © 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/compat/v1/ones_like