tf.lin_space(start, stop, num, name=None)

tf.lin_space(start, stop, num, name=None)

tf.linspace(start, stop, num, name=None)

See the guide: Constants, Sequences, and Random Values > Sequences

Generates values in an interval.

A sequence of num evenly-spaced values are generated beginning at start. If num > 1, the values in the sequence increase by stop - start / num - 1, so that the last one is exactly stop.

For example:

tf.linspace(10.0, 12.0, 3, name="linspace") => [ 10.0  11.0  12.0]

Args:

• start: A Tensor. Must be one of the following types: float32, float64. First entry in the range.
• stop: A Tensor. Must have the same type as start. Last entry in the range.
• num: A Tensor. Must be one of the following types: int32, int64. Number of values to generate.
• name: A name for the operation (optional).

Returns:

A Tensor. Has the same type as start. 1-D. The generated values.

Defined in tensorflow/python/ops/gen_math_ops.py.