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[tune](deps): Bump onnxruntime from 1.9.0 to 1.14.1 in /python/requirements/ml #105

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@dependabot dependabot bot commented on behalf of github Mar 4, 2023

Bumps onnxruntime from 1.9.0 to 1.14.1.

Release notes

Sourced from onnxruntime's releases.

ONNX Runtime v1.14.1

This patch addresses packaging issues and bug fixes on top of v1.14.0:

  • Mac OS Python build for x86 arch (issue: #14663)
  • DirectML EP fixes: sequence ops (#14442), package naming to remove -dev suffix
  • CUDA12 build compatibility (#14659)
  • Performance regression fixes: IOBinding input (#14719), Transformer models (#14732, #14517, #14699)
  • ORT Training kernel fix (#14727)

Only select packages were published for this patch release; others can be found in the attachments below:

ONNX Runtime v1.14.0

Announcements

  • Building ORT from source will require cmake version >=3.24 instead of >=3.18.

General

  • ONNX 1.13 support (opset 18)
  • Threading
    • ORT Threadpool is now NUMA aware (details)
    • New API to set thread affinity (details)
  • New custom operator APIs
    • Enables a custom operator to wrap an entire model that is meant to be inferenced with an external API or runtime.
    • Details and example
  • Multi-stream Execution Provider refactoring
    • Improves GPU utilization by putting parallel inference requests on different GPU streams. Updated for CUDA, TensorRT, and ROCM execution providers
    • Improves memory efficiency by enabling GPU memory reuse across different streams
    • Enables Execution Provider developer to customize its stream implementation by providing "Stream" interface in ExecutionProvider API
  • [Preview] Rust API for ORT - not part of release branch but available to build in main.

Performance

  • Support of quantization with AMX on Sapphire Rapids processors
  • CUDA EP performance improvements:
    • Improve performance of transformer models and decoding methods: beam search, greedy search, and topp sampling.
    • Stable Diffusion model optimizations
    • Change cudnn_conv_use_max_workspace default value to be 1
  • Performance improvements to GRU and Slice operators

Execution Providers

... (truncated)

Commits

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Bumps [onnxruntime](https://github.com/microsoft/onnxruntime) from 1.9.0 to 1.14.1.
- [Release notes](https://github.com/microsoft/onnxruntime/releases)
- [Changelog](https://github.com/microsoft/onnxruntime/blob/main/docs/ReleaseManagement.md)
- [Commits](microsoft/onnxruntime@v1.9.0...v1.14.1)

---
updated-dependencies:
- dependency-name: onnxruntime
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Mar 4, 2023
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dependabot bot commented on behalf of github Mar 4, 2023

Dependabot tried to add @neigh80/ray-tune as a reviewer to this PR, but received the following error from GitHub:

POST https://api.github.com/repos/neigh80/ray/pulls/105/requested_reviewers: 422 - Reviews may only be requested from collaborators. One or more of the teams you specified is not a collaborator of the neigh80/ray repository. // See: https://docs.github.com/rest/reference/pulls#request-reviewers-for-a-pull-request

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