cupynumeric.logspace#

cupynumeric.logspace( start: ndarray, stop: ndarray, num: int = 50, endpoint: bool = True, base: ndarray | None = None, dtype: npt.DTypeLike | None = None, axis: int = 0, ) → ndarray#

Return numbers spaced evenly on a log scale. In linear space, the sequence starts at base ** start (base to the power of start) and ends with base ** stop (see endpoint below). :param start: base ** start is the starting value of the sequence. :type start: array_like :param stop: base ** stop is the final value of the sequence, unless endpoint

is False. In that case, num + 1 values are spaced over the interval in log-space, of which all but the last (a sequence of length num) are returned.

Parameters:

num (int, optional) – Number of samples to generate. Default is 50.
endpoint (bool, optional) – If true, stop is the last sample. Otherwise, it is not included. Default is True.
base (array_like, optional) – The base of the log space. The step size between the elements in ln(samples) / ln(base) (or log_base(samples)) is uniform. Default is 10.0.
dtype (data-type, optional) – The type of the output array. If dtype is not given, infer the data type from the other input arguments.
axis (int, optional) – 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:

samples – num samples, equally spaced on a log scale.

Return type:

ndarray