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Generates evenlyspaced values in an interval along a given axis.
tf.linspace(
start, stop, num, name=None, axis=0
)
A sequence of num
evenlyspaced values are generated beginning at start
along a given axis
.
If num > 1
, the values in the sequence increase by
(stop  start) / (num  1)
, so that the last one is exactly stop
.
If num <= 0
, ValueError
is raised.
Matches
np.linspace's
behaviour
except when num == 0
.
For example:
tf.linspace(10.0, 12.0, 3, name="linspace") => [ 10.0 11.0 12.0]
Start
and stop
can be tensors of arbitrary size:
tf.linspace([0., 5.], [10., 40.], 5, axis=0)
<tf.Tensor: shape=(5, 2), dtype=float32, numpy=
array([[ 0. , 5. ],
[ 2.5 , 13.75],
[ 5. , 22.5 ],
[ 7.5 , 31.25],
[10. , 40. ]], dtype=float32)>
Axis
is where the values will be generated (the dimension in the
returned tensor which corresponds to the axis will be equal to num
)
tf.linspace([0., 5.], [10., 40.], 5, axis=1)
<tf.Tensor: shape=(2, 5), dtype=float32, numpy=
array([[ 0. , 2.5 , 5. , 7.5 , 10. ],
[ 5. , 13.75, 22.5 , 31.25, 40. ]], dtype=float32)>
Returns  

A Tensor . Has the same type as start .
