tf.keras.ops.arange

Return evenly spaced values within a given interval.

tf.keras.ops.arange(
    start, stop=None, step=1, dtype=None
)

arange can be called with a varying number of positional arguments:

  • arange(stop): Values are generated within the half-open interval [0, stop) (in other words, the interval including start but excluding stop).
  • arange(start, stop): Values are generated within the half-open interval [start, stop).
  • arange(start, stop, step): Values are generated within the half-open interval [start, stop), with spacing between values given by step.

start Integer or real, representing the start of the interval. The interval includes this value.
stop Integer or real, representing the end of the interval. The interval does not include this value, except in some cases where step is not an integer and floating point round-off affects the length of out. Defaults to None.
step Integer or real, represent the spacing between values. For any output out, this is the distance between two adjacent values, out[i+1] - out[i]. The default step size is 1. If step is specified as a position argument, start must also be given.
dtype The type of the output array. If dtype is not given, infer the data type from the other input arguments.

Tensor of evenly spaced values. For floating point arguments, the length of the result is ceil((stop - start)/step). Because of floating point overflow, this rule may result in the last element of out being greater than stop.

Examples:

keras.ops.arange(3)
array([0, 1, 2], dtype=int32)
 
keras.ops.arange(3.0)
array([0., 1., 2.], dtype=float32)
 
keras.ops.arange(3, 7)
array([3, 4, 5, 6], dtype=int32)
 
keras.ops.arange(3, 7, 2)
array([3, 5], dtype=int32)