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Rikorose / DeepFilterNet

Noise supression using deep filtering
https://huggingface.co/spaces/hshr/DeepFilterNet2
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build(deps): bump onnxruntime from 1.16.3 to 1.17.1 in /DeepFilterNet #517

Closed dependabot[bot] closed 2 months ago

dependabot[bot] commented 4 months ago

Bumps onnxruntime from 1.16.3 to 1.17.1.

Release notes

Sourced from onnxruntime's releases.

ONNX Runtime v1.17.0

Announcements

In the next release, we will totally drop support for Windows ARM32.

General

Build System and Packages

  • Dropped CentOS 7 support. All Linux binaries now require glibc version >=2.28, but users can still build the source code for a lower glibc version.
  • Added CUDA 12 packages for Python and Nuget.
  • Added Python 3.12 packages for ONNX Runtime Inference. ONNX Runtime Training Python 3.12 packages cannot be provided at this time since training packages depend on PyTorch, which does not support Python 3.12 yet.
  • Linux binaries (except those in AMD GPU packages) are built in a more secure way that is compliant with BinSkim's default policy (e.g., the binaries no longer have an executable stack).
  • Added support for Windows ARM64X for users who build ONNX Runtime from source. No prebuilt package provided yet.
  • Removed Windows ARM32 binaries from official packages. Users who still need these binaries can build them from source.
  • Added AMD GPU package with ROCm and MiGraphX (Python + Linux only).
  • Split ONNX Runtime GPU Nuget package into two packages.
  • When building the source code for Linux ARM64 or Android, the C/C++ compiler must support BFloat16. Support for Android NDK 24.x has been removed. Please use NDK 25.x or 26.x instead.
  • Link time code generation (LTCG or LTO) is now disabled by default when building from source. To re-enable it, users can add "--enable_lto" to the build command. All prebuilt binaries are still built with LTO.

Core

  • Optimized graph inlining.
  • Allow custom op to invoke internal thread-pool for parallelism.
  • Added support for supplying a custom logger at the session level.
  • Added new logging and tracing of session and execution provider options.
  • Added new dynamic ETW provider that can trace/diagnose ONNX internals while maintaining great performance.

Performance

  • Added 4bit quant support on NVIDIA GPU and ARM64.

EPs

TensorRT EP

  • Added support for direct load of precompiled TensorRT engines and customizable engine prefix.
  • Added Python support for TensorRT plugins via ORT custom ops.
  • Fixed concurrent Session::Run bugs.
  • Updated calls to deprecated TensorRT APIs (e.g., enqueue_v2 → enqueue_v3).
  • Fixed various memory leak bugs.

QNN EP

  • Added support for QNN SDK 2.18.
  • Added context binary caching and model initialization optimizations.
  • Added mixed precision (8/16 bit) quantization support.
  • Add device-level session options (soc_model, htp_arch, device_id), extreme_power_saver for htp_performance_mode, and vtcm_mb settings.
  • Fixed multi-threaded inference bug.
  • Fixed various other bugs and added performance improvements.
  • QNN profiling of the NPU can be enabled dynamically with ETW or write out to CSV.

OpenVINO EP

  • Added support for OpenVINO 2023.2.
  • Added AppendExecutionProvider_OpenVINO_V2 API for supporting new OpenVINO EP options.

... (truncated)

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dependabot[bot] commented 2 months ago

Superseded by #550.