tf.keras.ops.logspace

Returns numbers spaced evenly on a log scale.

Main aliases

tf.keras.ops.numpy.logspace

tf.keras.ops.logspace(
    start, stop, num=50, endpoint=True, base=10, dtype=None, axis=0
)

In linear space, the sequence starts at base ** start and ends with base ** stop (see endpoint below).

Args
`start`	The starting value of the sequence.
`stop`	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.
`num`	Number of samples to generate. Defaults to `50`.
`endpoint`	If `True`, `stop` is the last sample. Otherwise, it is not included. Defaults to `True`.
`base`	The base of the log space. Defaults to `10`.
`dtype`	The type of the output tensor.
`axis`	The axis in the result to store the samples. Relevant only if start or stop are array-like.

Note
Torch backend does not support `axis` argument.

Returns
A tensor of evenly spaced samples on a log scale.

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Last updated 2024-06-07 UTC.

Args