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tf.ones_like

TensorFlow 1 version View source on GitHub

Creates a tensor of all ones that has the same shape as the input.

tf.ones_like(
    input, dtype=None, name=None
)

Used in the notebooks

Used in the tutorials

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 use dtype to specify a new type for the returned tensor.

For example:

tensor = tf.constant([[1, 2, 3], [4, 5, 6]]) 
tf.ones_like(tensor) 
<tf.Tensor: shape=(2, 3), dtype=int32, numpy= 
  array([[1, 1, 1], 
         [1, 1, 1]], dtype=int32)> 

Args:

  • input: 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).

Returns:

A Tensor with all elements set to one.