use native dumpy conversion when available

[supersimple33]

I was getting the following error when I was trying to save a model I made using a PennyLane qnn layer.
DeprecationWarning: __array__ implementation doesn't accept a copy keyword, so passing copy=False failed. __array__ must implement 'dtype' and 'copy' keyword arguments. I just made this small change which uses and objects native bumpy conversion if it exists.

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[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 76.82%. Comparing base (dfaca0e) to head (d5f0d35).

❗ There is a different number of reports uploaded between BASE (dfaca0e) and HEAD (d5f0d35). Click for more details.

HEAD has 2 uploads less than BASE

Flag	BASE (dfaca0e)	HEAD (d5f0d35)
keras	5	4
keras-tensorflow	1	0

Additional details and impacted files

@@            Coverage Diff             @@
##           master   #21288      +/-   ##
==========================================
- Coverage   82.57%   76.82%   -5.76%     
==========================================
  Files         564      564              
  Lines       54677    54677              
  Branches     8500     8500              
==========================================
- Hits        45152    42006    -3146     
- Misses       7435    10528    +3093     
- Partials     2090     2143      +53     

Flag	Coverage Δ
keras	76.67% <100.00%> (-5.72%)	⬇️
keras-jax	63.61% <100.00%> (ø)
keras-numpy	58.74% <100.00%> (ø)
keras-openvino	33.04% <0.00%> (ø)
keras-tensorflow	?
keras-torch	63.68% <100.00%> (ø)

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