tf.keras.backend.arange

TensorFlow 2 version View source on GitHub

Creates a 1D tensor containing a sequence of integers.

Aliases:

tf.keras.backend.arange(
    start,
    stop=None,
    step=1,
    dtype='int32'
)

The function arguments use the same convention as Theano's arange: if only one argument is provided, it is in fact the "stop" argument and "start" is 0.

The default type of the returned tensor is 'int32' to match TensorFlow's default.

Arguments:

  • start: Start value.
  • stop: Stop value.
  • step: Difference between two successive values.
  • dtype: Integer dtype to use.

Returns:

An integer tensor.

Example:

>>> tf.keras.backend.arange(start=0, stop=10, step=1.5)
<tf.Tensor: id=96, shape=(7,), dtype=float32,
    numpy=array([0. , 1.5, 3. , 4.5, 6. , 7.5, 9. ], dtype=float32)>