cupy.logspace#

cupy.logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None, axis=0)[source]#

Returns an array with evenly-spaced values on a log-scale.

Instead of specifying the step width like cupy.arange(), this function requires the total number of elements specified.

Parameters:
  • start – Start of the interval.

  • stop – End of the interval.

  • num – Number of elements.

  • endpoint (bool) – If True, the stop value is included as the last element. Otherwise, the stop value is omitted.

  • base (float) – Base of the log space. The step sizes between the elements on a log-scale are the same as base.

  • dtype – Data type specifier. It is inferred from the start and stop arguments by default.

  • axis (int) – The axis in the result to store the samples. Relevant only if start or stop are array-like. By default 0, the samples will be along a new axis inserted at the beginning. Use -1 to get an axis at the end.

Returns:

The 1-D array of ranged values.

Return type:

cupy.ndarray

See also

numpy.logspace()