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### `tf.linspace(start, stop, num, name=None)` {#linspace}
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:
* <b>`start`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`.
First entry in the range.
* <b>`stop`</b>: A `Tensor`. Must have the same type as `start`.
Last entry in the range.
* <b>`num`</b>: A `Tensor`. Must be one of the following types: `int32`, `int64`.
Number of values to generate.
* <b>`name`</b>: A name for the operation (optional).
##### Returns:
A `Tensor`. Has the same type as `start`. 1-D. The generated values.
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