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Updated onnx.proto files to be same as onnx==1.14.1 that is used by MIGraphX.   Added more switch cases in onnx parser to handle FP8 dtypes.

Co-authored-by: Chris Austen <causten@users.noreply.github.com>

Ref Unique Operator only

Bumps [rocm-docs-core](https://github.com/RadeonOpenCompute/rocm-docs-core) from 0.28.0 to 0.29.0.
- [Release notes](https://github.com/RadeonOpenCompute/rocm-docs-core/releases)
- [Changelog](https://github.com/RadeonOpenCompute/rocm-docs-core/blob/develop/CHANGELOG.md)
- [Commits](https://github.com/RadeonOpenCompute/rocm-docs-core/compare/v0.28.0...v0.29.0

)

---
updated-dependencies:
- dependency-name: rocm-docs-core
  dependency-type: direct:production
  update-type: version-update:semver-minor
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Bumps [cryptography](https://github.com/pyca/cryptography) from 41.0.4 to 41.0.6.
- [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst)
- [Commits](https://github.com/pyca/cryptography/compare/41.0.4...41.0.6

)

---
updated-dependencies:
- dependency-name: cryptography
  dependency-type: indirect
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Add min and max reduction modes
Implement duplicate index handling
Add corresponding reference, onnx, and verify tests.

This example show how to use HuggingFace's Stable Diffusion v2.1
(https://huggingface.co/stabilityai/stable-diffusion-2-1) model
with migraphx's python frontend.

Simplify what we parse the ONNX operator ConstantOfShape into a literal for a static shape

Introduce dilations attribute to pooling operators reference implementation.