Added numpy.outer function using opset14

[blue-dreaming-jay]

Modified import statement for opset14 in numpy.py (original one commented out)
Added numpy.outer function using opset14
Deleted test_outer and test_outer_ lines from excluded_concrete_tests.txt
Implementation of numpy.outer assumes that the given tensors are 1-dimensional arrays, and will likely produce bad results

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[codecov-commenter]

Codecov Report

Attention: Patch coverage is 66.66667% with 9 lines in your changes missing coverage. Please review.

Project coverage is 82.60%. Comparing base (37eacb0) to head (df1cda4).
Report is 9 commits behind head on master.

Files with missing lines	Patch %	Lines
keras/src/backend/openvino/numpy.py	66.66%	6 Missing and 3 partials ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master   #21213      +/-   ##
==========================================
- Coverage   82.61%   82.60%   -0.02%     
==========================================
  Files         564      564              
  Lines       54476    54527      +51     
  Branches     8470     8473       +3     
==========================================
+ Hits        45005    45040      +35     
- Misses       7395     7403       +8     
- Partials     2076     2084       +8     

Flag	Coverage Δ
keras	82.41% <66.66%> (-0.02%)	⬇️
keras-jax	63.65% <0.00%> (-0.06%)	⬇️
keras-numpy	58.78% <0.00%> (-0.06%)	⬇️
keras-openvino	33.02% <66.66%> (+0.03%)	⬆️
keras-tensorflow	64.06% <0.00%> (-0.06%)	⬇️
keras-torch	63.72% <0.00%> (-0.07%)	⬇️

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[gbaned]

Hi @blue-dreaming-jay Can you please resolve the conflicts? Thank you.

[blue-dreaming-jay]

I will resolve them. I'd like to clarify if the type that the produced tensor should be is the type produced by applying dtypes.result_type() on the dtypes of inputted tensors x1 and x2?