1. Fix Nhwcconv with asymmetric padding. The slice axies are (1,2) with
NHWC layout.
2. For ROCm EP, Move Addbias after SliceOutUnwantedOutputSection,
because before that, the actual output of Conv is s_.y_data.
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Some of our vectorized kernels (including SkipLayerNorm) doesn't check
the alignment of data pointer. While ORT's allocator may guarantee the
alignment, but since training is using PyTorch's allocator, which cannot
guarantee that, we need to add the data pointer check before we call any
vectorized kernel.
This PR is to fix such data pointer alignment issue for SkipLayerNorm's
vectorized kernel. We found this issue when running huggingface's swinv2
model. The PR also refactored the code for SkipLayerNorm kernel to make
it simpler.
### Description
<!-- Describe your changes. -->
Add check on axis to make sure it is in a valid range
### 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. -->
### Description
<!-- Describe your changes. -->
This fix macos packaging build on universal2 arch.
### 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. -->
