tf.keras.ops.linspace | TensorFlow v2.16.1 (original) (raw)
tf.keras.ops.linspace
Return evenly spaced numbers over a specified interval.
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Main aliases
tf.keras.ops.linspace(
start, stop, num=50, endpoint=True, retstep=False, dtype=None, axis=0
)
Returns num evenly spaced samples, calculated over the interval[start, stop].
The endpoint of the interval can optionally be excluded.
| Args | |
|---|---|
| start | The starting value of the sequence. |
| stop | The end value of the sequence, unless endpoint is set toFalse. In that case, the sequence consists of all but the last of num + 1 evenly spaced samples, so that stop is excluded. Note that the step size changes when endpoint is False. |
| num | Number of samples to generate. Defaults to 50. Must be non-negative. |
| endpoint | If True, stop is the last sample. Otherwise, it is not included. Defaults to True. |
| retstep | If True, return (samples, step), where step is the spacing between samples. |
| 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. Defaults to 0. |
| Note |
|---|
| Torch backend does not support axis argument. |
| Returns |
|---|
| A tensor of evenly spaced numbers. If retstep is True, returns (samples, step) |
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Last updated 2024-06-07 UTC.