[BUG] Clip floats using integer lower/upper bounds in a Series or DataFrame fails

[esnvidia]

Describe the bug
Clipping a DataFrame or Series using ints causes a cudf Failure because it won't handle the different dtypes (int and float)

Steps/Code to reproduce bug

data = cudf.Series([-0.43, 0.1234, 1.5, -1.31])
data.clip(0, 1)

...
  File "cudf/_lib/replace.pyx", line 216, in cudf._lib.replace.clip
  File "cudf/_lib/replace.pyx", line 198, in cudf._lib.replace.clamp
RuntimeError: cuDF failure at: ../src/replace/clamp.cu:250: mismatching types of scalar and input

Meanwhile the following will work

data.clip(0., 1.)

Expected behavior
data.clip(0, 1)
Out:
0 0.0000
1 0.1234
2 1.0000
3 0.0000
dtype: float64

will coerce the integer upper/lower bounds to the float data.

Environment overview (please complete the following information)
conda install rapids-0.19

[vyasr]

This no longer fails on cudf 22.08:

>>> data = cudf.Series([-0.43, 0.1234, 1.5, -1.31])
>>> data.clip(0, 1)
0    0.0000
1    0.1234
2    1.0000
3    0.0000
dtype: float64