tf.keras.ops.logspace | TensorFlow v2.16.1 (original) (raw)
tf.keras.ops.logspace
Returns numbers spaced evenly on a log scale.
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Main aliases
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 withbase ** 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.