Bump onnxruntime-gpu from 1.9.0 to 1.10.0

[dependabot[bot]]

Bumps onnxruntime-gpu from 1.9.0 to 1.10.0.

Release notes

Sourced from onnxruntime-gpu's releases.

ONNX Runtime v1.10.0

Announcements

• As noted in the deprecation notice in ORT 1.9, InferenceSession now requires the providers parameters to be set when enabling Execution Providers other than default CPUExecutionProvider. e.g. InferenceSession('model.onnx', providers=['CUDAExecutionProvider'])
• Python 3.6 support removed for Mac builds. Since 3.6 is end-of-life in December 2021, it will no longer be supported from next release (ORT 1.11) onwards
• Removed dependency on optional-lite
• Removed experimental Featurizers code

General

• Support for plug-in custom thread creation and join functions to enable usage of external threads
• Optional type support from opset15

Performance

• Introduced indirect Convolution method for QLinearConv which has symmetrically quantized filter, i.e., filter type is int8 and zero point of filter is 0. The method leverages in-direct buffer instead of memcpy'ing the original data and doesn’t need to compute the sum of each pixel of output image for quantized Conv.
  • X64: new kernels - including avx2, avxvnni, avx512 and avx 512 vnni, for general and depthwise quantized Conv.
  • ARM64: new kernels for depthwise quantized Conv.
• Tensor shape optimization to avoid allocating heap memory in most cases - #9542
• Added transpose optimizer to push and cancel transpose ops, significantly improving perf for models requiring layout transformation

API

• Python
  • Following through on the deprecation notice in ORT 1.9, InferenceSession now requires the providers parameters to be set when enabling Execution Providers other than default CPUExecutionProvider. e.g. InferenceSession('model.onnx', providers=['CUDAExecutionProvider'])
• C/C++
  • New API to query CUDA stream to launch a custom kernel for scenarios where custom ops compiled into shared libraries need implicit synchronization with ORT CUDA kernels - #9141
  • Updated Invalid -> OrtInvalidAllocator
  • Updated every item in OrtCudnnConvAlgoSearch to a safer global name
• WinML
  • New APIs to create OrtValues from Windows platform specific ID3D12Resources by exposing DirectML Execution Provider specific APIs. These APIs allow DML to extend the C-API and provide EP specific extensions.
    • OrtSessionOptionsAppendExecutionProviderEx_DML
    • DmlCreateGPUAllocationFromD3DResource
    • DmlFreeGPUAllocation
    • DmlGetD3D12ResourceFromAllocation
  • Bug fix: LearningModel::LoadFromFilePath in UWP apps

Packages

• Added Mac M1 Universal2 build support for a single binary that runs natively on both Apple silicon and Intel-based Macs. These are included in the official packages and can also be built using "-arch arm64 -arch x86_64"
• Windows C API Symbols are now uploaded to Microsoft symbol server
• Nuget
  • Support for ARM64 Linux C#
• Python GPU package now includes both TensorRT and CUDA EPs. Note: EPs need to be explicitly registered to ensure the correct provider is used. e.g. InferenceSession('model.onnx', providers=['TensorrtExecutionProvider', 'CUDAExecutionProvider']). Please also ensure you have appropriate TensorRT dependencies and CUDA dependencies installed.

Execution Providers

• TensorRT EP
  • Python GPU release packages now include support for TensorRT 8.0. Enable TensorrtExecutionProvider by explicitly setting providers parameter when creating an InferenceSession. e.g. InferenceSession('model.onnx', providers=['TensorrtExecutionProvider', 'CUDAExecutionProvider'])
  • Published quantized BERT model example
• OpenVINO EP
  • Add support for OpenVINO 2021.4.x
  • Auto Plugin support

... (truncated)

Commits

• 0d9030e add copyright (#9943)
• 1e31b2c Release 1.10.0 Cherrypick Round 2 (#9928)
• 31a4742 Release 1.10.0 cherry pick round 1 (#9886)
• 8afd969 fix build break in release pipeline for Node.js binding test (#9850) (#9860)
• 6749e9f Cuda instance_norm fix (#9826)
• 24f3d72 relax atol and rtol for einsum ut (#9842)
• 8564fc1 POWER10: Add optimized dgemm kernel (#9652)
• bf5e9a5 bumping up ORT_API_VERSION to 10 (#9838)
• fb4a8e1 Limit inclusion of Xamarin mobile target frameworks. (#9834)
• 74ca417 [js/web] optimize bundle file size (#9817)
• Additional commits viewable in compare view

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[dependabot[bot]]

Looks like onnxruntime-gpu is up-to-date now, so this is no longer needed.