QDucasse / nn_benchmark

🧠 Benchmark facility to train networks on different datasets for PyTorch/Brevitas
MIT License
24 stars 1 forks source link

Bump onnxruntime from 1.2.0 to 1.4.0 #3

Closed dependabot-preview[bot] closed 3 years ago

dependabot-preview[bot] commented 4 years ago

Bumps onnxruntime from 1.2.0 to 1.4.0.

Release notes

Sourced from onnxruntime's releases.

ONNX Runtime v1.4.0

Key Updates

  • Performance optimizations for Transformer models
    • GPT2 - Enable optimizations for Attention with Past State and Attention Mask
    • BERT - Improve EmbedLayerNormalization fusion coverage
  • Quantization updates
    • Added new quantization operators: QLinearAdd, QAttention
    • Improved quantization performance for transformer based models on CPU
      • More graph fusion
      • Further optimization in MLAS kernel
      • Introduced pre-packing for constant Matrix B of DynamicQuantizeMatMul and Qattention
  • New Python IOBinding APIs (bind_cpu_input, bind_output, copy_outputs_to_cpu) allow easier benchmarking
    • Users no longer need to allocate inputs and outputs on non-CPU devices using third-party allocators.
    • Users no longer need to copy inputs to non-CPU devices; ORT handles the copy.
    • Users can now use copy_outputs_to_cpu to copy outputs from non-CPU devices to CPU for verification.
  • CUDA support for Einsum (opset12)
  • ONNX Runtime Training updates
    • Opset 12 support
    • New sample for training experiment using Huggingface GPT-2.
      • Upgraded docker image built from the latest PyTorch release
  • Telemetry is now enabled by default for Python packages and Github release zip files (C API); see more details on what/how telemetry is collected in ORT
  • [Coming soon] Availability of Python package for ONNX Runtime 1.4 for Jetpack 4.4

Execution Providers

New Execution Providers available for preview:

Contributions

Contributors to ONNX Runtime include members across teams at Microsoft, along with our community members:

ytaous, yuslepukhin, wschin, askhade, liuziyue, BowenBao, ryanlai2, iK1D, smk2007, faxu, KeDengMS, pranavsharma, tlh20, smkarlap, codemzs, weixingzhang, jeffbloo, jywu-msft, mrry, jgbradley1, xzhu1900, zhanghuanrong, suffiank, Andrews548, pengwa, orilevari, stevenlix, duli2012, yangchen-MS, yan12125, jornt-xilinx, neginraoof, Tixxx, thiagocrepaldi, SherlockNoMad, RyanUnderhill, mayeut, chilo-ms, prasanthpul, martinb35, ashbhandare, manashgoswami, zhangxiang1993, suryasidd, Craigacp, kit1980, fdwr

ONNX Runtime v1.3.1

This update includes changes to support the published packages for the Java and nodejs APIs for the 1.3.0 release.

For all other APIs/builds, the 1.3.0 release packages are suggested. 1.3.1 does address the 1.3.0 issue of Crash when setting IntraOpNumThreads using the C/C++/C# API, so if this fix is needed it can be built from source using this release branch (with official release support).

ONNX Runtime v1.3.0

Key Updates

General

  • ONNX 1.7 support
    • Opset 12
    • Function expansion support that enables several new ONNX 1.7 ops such as NegativeLogLikelihoodLoss, GreaterOrEqual, LessOrEqual, Celu to run without a kernel implementation.
  • [Preview] ONNX Runtime Training
    • ONNX Runtime Training is a new capability released in preview to accelerate training transformer models. See the sample here to use this feature in your training experiments.
Commits
  • 1f69a58 Conditionally compile without std::is_trivially_copyable to satisfy old GCC v...
  • c40c05a Create N-1 threads in intra-op pool, given main thread now active (#4493)
  • 4269556 Bump version to 1.4.0 (#4496)
  • 37b5248 Revert "Remove docstrigs if __ONNX_NO_DOC_STRINGS" (#4495)
  • 35ee00d Pin typing version. (#4490)
  • 07455cf Support double type for Greater CPU (#4373)
  • f18dee8 Remove docstrigs if __ONNX_NO_DOC_STRINGS (#4494)
  • c71c49a Make TArray safer to use and update method name for consistency. (#4483)
  • 00706e1 dont add deps for uwp apps (#4485)
  • 3e48ffd Move AutoPadType to common.h (#4474)
  • Additional commits viewable in compare view


Dependabot compatibility score

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.


Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) - `@dependabot use these labels` will set the current labels as the default for future PRs for this repo and language - `@dependabot use these reviewers` will set the current reviewers as the default for future PRs for this repo and language - `@dependabot use these assignees` will set the current assignees as the default for future PRs for this repo and language - `@dependabot use this milestone` will set the current milestone as the default for future PRs for this repo and language - `@dependabot badge me` will comment on this PR with code to add a "Dependabot enabled" badge to your readme Additionally, you can set the following in your Dependabot [dashboard](https://app.dependabot.com): - Update frequency (including time of day and day of week) - Pull request limits (per update run and/or open at any time) - Out-of-range updates (receive only lockfile updates, if desired) - Security updates (receive only security updates, if desired)
dependabot-preview[bot] commented 4 years ago

Dependabot tried to update this pull request, but something went wrong. The most likely cause is #4, which may be blocking Dependabot from updating your dependency files.

dependabot-preview[bot] commented 3 years ago

Superseded by #6.