tf.keras.ops.linspace

Return evenly spaced numbers over a specified interval.

Main aliases

tf.keras.ops.numpy.linspace

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 to `False`. 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)`

Args