Bump onnxruntime from 1.2.0 to 1.8.1

[dependabot-preview[bot]]

Bumps onnxruntime from 1.2.0 to 1.8.1.

Release notes

Sourced from onnxruntime's releases.

ONNX Runtime v1.8.1

This release contains fixes and key updates for 1.8.0. For all package installation details, please refer to https://www.onnxruntime.ai.

Inference

• Fixes for GPU package loading issues
• Fix for memory issue for models with convolution nodes while using the EXHAUSTIVE algo search mode
• ORT Mobile updates
  • CoreML EP enabled in iOS mobile package
  • Additional operators
  • Bug fixes
  • React Native package now available

Training

Performance updates for ONNX Runtime for PyTorch (training acceleration for PyTorch models)

• Accelerates most popular Hugging Face models as well as GPT-Neo and Microsoft TNLG and TNLU models
• Support for PyTorch 1.8.1 and 1.9
• Support for CUDA 10.2 and 11.1
• Preview packages for ROCm 4.2

ONNX Runtime v1.8.0

Announcements

• This release
  • Building onnxruntime from source now requires a C++ compiler with full C++14 support.
  • Builds with OpenMP are no longer published. They can still be built from source if needed. The default threadpool option should provide optimal performance for the majority of models.
  • New dependency for Python package: flatbuffers
• Next release (v1.9)
  • Builds will require C++ 17 compiler
  • GPU build will be updated to CUDA 11.1

General

• ONNX opset 14 support - new and updated operators from the ONNX 1.9 release
• Dynamically loadable CUDA execution provider
  • Allows a single build to work for both CPU and GPU (excludes Python packages)
• Profiler tool now includes information on threadpool usage
  • multi-threading preparation time
  • multi-threading run time
  • multi-threading wait time
• [Experimental] onnxruntime-extensions package
  • Crowd-sourced library of common/shareable custom operator implementations that can be loaded and run with ONNX Runtime; community contributions are welcome! - microsoft/onnxruntime-extensions
  • Currently includes mostly ops and tokenizers for string operations (full list here)
  • Tutorials to export and load custom ops from onnxruntime-extensions: TensorFlow, PyTorch

Training

• torch-ort package released as the ONNX Runtime backend in PyTorch
• onnxruntime-training-gpu and onnxruntime-training-rocm packages now available for distributed training on NVIDIA and AMD GPUs

Mobile

• Official package now available

... (truncated)

Commits

• 96bb4b1 Liqun/havenka/rel 1.8.1 round3 (#8246)
• 6057515 Propagate ROCM version to onnxruntime wheel package (#8247) (#8250)
• 8d6825b Cherry-picks for release 1.8.1 - Round3 (#8195)
• 2e55002 Cherry picks for release - 1.8.1 Round 2 (#8137)
• b85c7e7 bump up the version of mobile package to 1.8.1 (#8126)
• 8c0c25c cherry picked commits for rel-1.8.1 (#8076)
• 92621cb bump ORT version to 1.8.1 (#8050)
• d4106de Cherry pick outstanding changes into release branch (round 2) (#7921)
• a54716e cherry pick outstanding commits (#7871)
• c487824 Fix bug in Einsum implementation (#7822)
• Additional commits viewable in compare view

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[dependabot-preview[bot]]

OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.