BUG: pd.to_timedelta() does not accept nullable float

[davidchall]

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Reproducible Example

import pandas as pd
pd.to_timedelta(pd.Series([1], dtype="Float64"))

Issue Description

The pd.to_timedelta() function does not accept a series using the nullable float extension dtype (either "Float32" or "Float64").

An exception is raised with the following message:

IndexError: only integers, slices (:), ellipsis (...), numpy.newaxis (None) and integer or boolean arrays are valid indices

Expected Behavior

In this example, I would expect the output to be the same as for the regular NumPy dtype:

pd.to_timedelta(pd.Series([1], dtype="float64"))

Installed Versions

INSTALLED VERSIONS

commit : 87cfe4e
python : 3.9.7.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19044
machine : AMD64
processor : Intel64 Family 6 Model 142 Stepping 12, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_United States.1252

pandas : 1.5.0
numpy : 1.21.5
pytz : 2022.1
dateutil : 2.8.2
setuptools : 63.4.1
pip : 22.1.2
Cython : 0.29.30
pytest : 7.1.2
hypothesis : None
sphinx : 5.0.2
blosc : None
feather : None
xlsxwriter : 3.0.3
lxml.etree : 4.9.1
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.11.3
IPython : 8.4.0
pandas_datareader: None
bs4 : 4.11.1
bottleneck : 1.3.5
brotli :
fastparquet : None
fsspec : 2022.7.1
gcsfs : None
matplotlib : 3.5.2
numba : 0.55.1
numexpr : 2.8.3
odfpy : None
openpyxl : 3.0.10
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.7.1
snappy :
sqlalchemy : 1.4.39
tables : 3.6.1
tabulate : 0.8.10
xarray : 0.20.1
xlrd : 2.0.1
xlwt : None
zstandard : None
tzdata : None