add kernel tests for ops that changed in opset18 (#19767)
### Description
<!-- Describe your changes. -->
- [x] Pad operator has introduced a new input called "axes" which
specifies which axis to pad. But it defaults to input_rank if axes is
not provided which was the behavior before the opset upgrade.
- [x] ReduceMean
- [x] ReduceL2
- [x] ReduceLogSumExp
- [x] ReduceSum
- Reduction ops all had the axes attribute switched to an input and a
new attribute called "noop_with_empty_axes" was added to define what to
do when axes is not specified.
- [x] Resize has had two new attributes introduced: antialias and
keep_aspect_ratio_policy. From Operators.md I've gathered:
"Antialiasing is achieved by stretching the resampling filter by a
factor max(1, 1 / scale), which means that when downsampling, more input
pixels contribute to an output pixel."
keep_aspect_ratio_policy "describes how to interpret the `sizes` input
with regard to keeping the original aspect ratio of the input." there
are a couple enum-type options that specify different policies and what
to do in each case.
- NOTE: Baiju already included opset18 tests in
https://github.com/microsoft/onnxruntime/pull/17772
- [x] ScatterElements/ScatterND has had a new attribute introduced
called "reduction." This specifies the type of reduction to apply: none
(default), add, mul, max, min.
- [x] Split introduced a new attribute called "num_outputs" which
specifies how many outputs to split the input tensor into. This is in
contrast to the previous, default behavior of specifying a "split" input
which defines the size of each resultant tensor of the output.
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
