## Summary
Add Relax `roi_align` support and wire it through the ONNX and PyTorch
frontends.
## Changes
- add `relax.vision.roi_align`, including attrs, Python wrapper, struct
info inference, and legalization
- add TOPI `roi_align` compute and keep both legacy and aligned ROIAlign
semantics
- support ONNX `RoiAlign`, including `coordinate_transformation_mode`
handling for `output_half_pixel` and `half_pixel`
- support PyTorch `torchvision.ops.roi_align` in the exported-program
frontend, including the `aligned` flag
- add regression tests for Relax op inference, legalization, TVMScript
parsing, ONNX frontend import, and PyTorch frontend import
- add aligned ROIAlign test coverage to make sure sub-pixel RoIs no
longer use the legacy `min=1.0` clamp
## Validation
- `pytest tests/python/relax/test_op_vision.py -k roi_align`
- `pytest tests/python/relax/test_tvmscript_parser_op_vision.py -k
roi_align`
- `pytest tests/python/relax/test_frontend_onnx.py -k roi_align`
- `pytest tests/python/relax/test_frontend_from_exported_program.py -k
roi_align`
This PR completes the Relax/ONNX/Torch roi_align work tracked in #18928.
* begin nhwc roi align
* integrate mode change from upstream
* adding test
* support nhwc shape func
* update strategy
* refactoring test
* refactor test
* refactoring
* fix lint
* update relay op tests
* ROI align with max on cpu passes
* onnx test file was not running gpu testsgit status!
* all passing
* fix lint
* lint again
* lint
* lint
* typo
* remove import
* fix import
* add inf, -inf to hybridscript and respond to comments
* shorten code
* make atol lower
YinHanke