tf.keras.backend.arange

Creates a 1D tensor containing a sequence of integers.

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tf.compat.v1.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: shape=(7,), dtype=float32,
    numpy=array([0. , 1.5, 3. , 4.5, 6. , 7.5, 9. ], dtype=float32)>