[Dependency] Bump onnxruntime from 1.11.1 to 1.14.0 in /.setup/pip

[dependabot]

Bumps onnxruntime from 1.11.1 to 1.14.0.

Release notes

Sourced from onnxruntime's releases.

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
• ROCm EP: 5.4 support and GA ready
• [Preview] Azure EP - supports AzureML hosted models using Triton for hybrid inferencing on-device and on-cloud

Mobile

• Pre/Post processing
  • Support updating mobilenet and super resolution models to move the pre and post processing into the model, including usage of custom ops for conversion to/from jpg/png
    • onnxruntime-extensions python package includes the model update script to add pre/post processing to the model
    • See example model update usage
  • Created onnxruntime-extensions packages for Android and iOS with DecodeImage and EncodeImage custom ops
  • Updated the onnxruntime inference examples to demonstrate end-to-end usage with onnxruntime-extensions package
    • SuperResolution model
• XNNPACK

... (truncated)

Commits

• 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)
• 80d6198 Unit test modification for TensorRT EP (#14339)
• a491f33 Allow PostAnalysis@2 task to continue on error for Windows_Packaging_CPU_x86_...
• 20e1647 [objc] Fix parameter name in documentation. (#14330)
• 904e636 increase the time limit as more unit tests added (#14327)
• c4e693c update gsl-lite license (#14318)
• 3c695f7 Bump electron from 15.5.5 to 18.3.7 in /js/web (#13617)
• Additional commits viewable in compare view

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[dependabot]

The following labels could not be found: dependencies.

[codecov-commenter]

Codecov Report

Merging #819 (ef003ec) into master (b795c87) will not change coverage.
The diff coverage is n/a.

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@@            Coverage Diff            @@
##             master     #819   +/-   ##
=========================================
  Coverage     23.26%   23.26%           
  Complexity     7790     7790           
=========================================
  Files           220      220           
  Lines         27249    27249           
  Branches         70       70           
=========================================
  Hits           6340     6340           
  Misses        20841    20841           
  Partials         68       68           

Flag	Coverage Δ
autograder	20.45% <ø> (ø)
js	28.47% <ø> (ø)
migrator	100.00% <ø> (ø)
php	20.21% <ø> (ø)
python_submitty_utils	71.65% <ø> (ø)
submitty_daemon_jobs	91.01% <ø> (ø)

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[dependabot]

Superseded by #856.