def logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None):
"""Returns an array with evenly-spaced values on a log-scale.
Instead of specifying the step width like :func:`cupy.arange`, this
function requires the total number of elements specified.
Args:
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.
Returns:
cupy.ndarray: The 1-D array of ranged values.
.. seealso:: :func:`numpy.logspace`
"""
y = linspace(start, stop, num=num, endpoint=endpoint)
if dtype is None:
return core.power(base, y)
return core.power(base, y).astype(dtype)
def logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None):
"""Returns an array with evenly-spaced values on a log-scale.
Instead of specifying the step width like :func:`cupy.arange`, this
function requires the total number of elements specified.
Args:
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.
Returns:
cupy.ndarray: The 1-D array of ranged values.
"""
y = linspace(start, stop, num=num, endpoint=endpoint)
if dtype is None:
return core.power(base, y)
return core.power(base, y).astype(dtype)