tf.keras.backend.arange

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Creates a 1D tensor containing a sequence of integers.

Aliases:

• tf.compat.v1.keras.backend.arange
• tf.compat.v2.keras.backend.arange

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)>