[Dependency] Bump onnxruntime from 1.11.1 to 1.14.1 in /.setup/pip

[dependabot]

Bumps onnxruntime from 1.11.1 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:

• Pypi: onnxruntime, onnxruntime-gpu, onnxruntime-directml, onnxruntime-training
• Nuget: Microsoft.ML.OnnxRuntime, Microsoft.ML.OnnxRuntime.Gpu, Microsoft.ML.OnnxRuntime.DirectML, Microsoft.AI.MachineLearning

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

• TensorRT EP
  • Adds support for TensorRT 8.5 GA versions
  • Bug fixes
• OpenVINO EP
  • Adds support for OpenVINO 2022.3
• DirectML EP:
  • Updated to DML 1.10.1
  • Additional operators: NonZero, Shape, Size, Attention, EmbedLayerNorm, SkipLayerNorm, BiasGelu
  • Additional data types: Abs, Sign, Where
  • Enable SetOptimizedFilePath export/reload
  • Bug fixes/extensions: allow squeeze-13 axes, EinSum with MatMul NHCW

... (truncated)

Commits

• c57cf37 Bump ORT version number to 1.14.1 (#14826)
• 8a54bee use python 3.9.7 in windowai packaging pipeline (#14766) (#14813)
• 8f90066 [DML EP] Fix GetInputTensor crash when accessing null tensor (#14811)
• 3e4a471 Cherry-pick 7 changes into 1.14.1 (#14762)
• 073332b Cjian/1.14.0 fix (#14682)
• 6c2f859 Fix DML release build (#14662)
• 6ccaedd ORT 1.14.0 release -- cherry pick round3 (#14617)
• 5ae597d ORT 1.14.0 release -- cherry pick round2 (#14573)
• 1a48099 ORT 1.14.0 release -- cherry pick round1 (#14456)
• b51415b disable cache for training_x64_debug (#14358)
• Additional commits viewable in compare view

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[dependabot]

The following labels could not be found: dependencies.

[dependabot]

Superseded by #995.