tf.keras.ops.linspace

Return evenly spaced numbers over a specified interval.

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.

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.

Torch backend does not support axis argument.

A tensor of evenly spaced numbers. If retstep is True, returns (samples, step)