TensorRT Versions Save

Key Features and Updates:

• Parser changes
  • Added support for building with protobuf-lite.
  • Fixed issue when parsing and refitting models with nested BatchNormalization nodes.
  • Added support for empty inputs in custom plugin nodes.
• Demo changes
  • The following demos have been removed: Jasper, Tacotron2, HuggingFace Diffusers notebook
• Updated tooling
  • Polygraphy v0.49.10
  • ONNX-GraphSurgeon v0.5.2
• Build Containers
  • Updated default cuda versions to 12.4.0.
  • Added Rocky Linux 8 and Rocky Linux 9 build containers

Key Features and Updates:

• Samples changes
  • Added a sample showcasing weight-stripped engines.
  • Added a sample demonstrating the use of custom tactics with IPluginV3.
  • Added a sample to showcase plugins with data-dependent output shapes, using IPluginV3.
• Parser changes
  • Added a new class IParserRefitter that can be used to refit a TensorRT engine with the weights of an ONNX model.
  • kNATIVE_INSTANCENORM is now set to ON by default.
  • Added support for IPluginV3 interfaces from TensorRT.
  • Added support for INT4 quantization.
  • Added support for the reduction attribute in ScatterElements.
  • Added support for wrap padding mode in Pad
• Plugin changes
  • A new plugin has been added in compliance with ONNX ScatterElements.
  • The TensorRT plugin library no longer has a load-time link dependency on cuBLAS or cuDNN libraries.
  • All plugins which relied on cuBLAS/cuDNN handles passed through IPluginV2Ext::attachToContext() have moved to use cuBLAS/cuDNN resources initialized by the plugin library itself. This works by dynamically loading the required cuBLAS/cuDNN library. Additionally, plugins which independently initialized their cuBLAS/cuDNN resources have also moved to dynamically loading the required library. If the respective library is not discoverable through the library path(s), these plugins will not work.
  • bertQKVToContextPlugin: Version 2 of this plugin now supports head sizes less than or equal to 32.
  • reorgPlugin: Added a version 2 which implements IPluginV2DynamicExt.
  • disentangledAttentionPlugin: Fixed a kernel bug.
• Demo changes
  • HuggingFace demos have been removed. For all users using TensorRT to accelerate Large Language Model inference, please use TensorRT-LLM.
• Updated tooling
  • Polygraphy v0.49.9
  • ONNX-GraphSurgeon v0.5.1
  • TensorRT Engine Explorer v0.1.8
• Build Containers
  • RedHat/CentOS 7.x are no longer officially supported starting with TensorRT 10.0. The corresponding container has been removed from TensorRT-OSS.

TensorRT OSS release corresponding to TensorRT 9.3.0.1 release.

Updates since TensorRT 9.2.0 release.

Key Features and Updates:

• Faster Text-to-image using SDXL & INT8 quantization using AMMO
• Updated Polygraphy v0.49.7

TensorRT OSS release corresponding to TensorRT 9.2.0.5 release.

Updates since TensorRT 9.1.0 release.

Key Features and Updates:

• trtexec enhancement: Added --weightless flag to mark the engine as weightless.
• Parser changes
  • Added support for Hardmax operator.
  • Changes to a few operator importers to ensure that TensorRT preserves the precision of operations when using strongly typed mode.
• Plugin changes
  • Explicit INT8 support added to bertQKVToContextPlugin.
  • Various bug fixes.
• Updated HuggingFace demo to use transformers v4.31.0 and PyTorch v2.1.0.

TensorRT OSS release corresponding to TensorRT 9.1.0.4 GA release.

Updates since TensorRT 8.6.1 GA release.

Key Features and Updates:

• Update the trt_python_plugin sample.
  • Python plugins API reference is part of the offical TRT Python API.
• Added samples demonstrating the usage of the progress monitor API.
  • Check sampleProgressMonitor for the C++ sample.
  • Check simple_progress_monitor for the Python sample.
• Remove dependencies related to python<3.8 in python samples as we no longer support python<3.8 for python samples.
• Demo changes
  • Added LAMBADA dataset accuracy checks in the HuggingFace demo.
  • Enabled structured sparsity and FP8 quantized batch matrix multiplication(BMM)s in attention in the NeMo demo.
  • Replaced deprecated APIs in the BERT demo.
• Updated tooling
  • Polygraphy v0.49.1

What's Changed

• Fix python bindings build and README
• Add kNATIVE_INSTANCENORM flag to demoDiffusion
• Update demoDiffusion to support torch 2.x and fix typo in README
• Add HuggingFace Stable Diffusion pipeline demo
• Upgrade pytorch-quantization to 2.1.3

Full Changelog: https://github.com/NVIDIA/TensorRT/compare/v8.6.1...23.08

TensorRT OSS release corresponding to TensorRT 8.6.1.6 GA release.

• Updates since TensorRT 8.6.0 EA release.
• Please refer to the TensorRT 8.6.1.6 GA release notes for more information.

Key Features and Updates:

• Added a new flag --use-cuda-graph to demoDiffusion to improve performance.
• Optimized GPT2 and T5 HuggingFace demos to use fp16 I/O tensors for fp16 networks.

TensorRT OSS release corresponding to TensorRT 8.6.0.12 EA release.

• Updates since TensorRT 8.5.3 GA release.
• Please refer to the TensorRT 8.6.0.12 EA release notes for more information.

Key Features and Updates:

• demoDiffusion acceleration is now supported out of the box in TensorRT without requiring plugins.
  • The following plugins have been removed accordingly: GroupNorm, LayerNorm, MultiHeadCrossAttention, MultiHeadFlashAttention, SeqLen2Spatial, and SplitGeLU.
• Added a new sample called onnx_custom_plugin.

We needed to force-push main and release/8.6 branches and v8.6.0 release. If you cloned/pulled the repo recently, please rebase the affected branches. Our apologies for this inconvenience.

TensorRT OSS release corresponding to TensorRT 8.5.3.1 GA release.

• Updates since TensorRT 8.5.2 GA release.
• Please refer to the TensorRT 8.5.3 GA release notes for more information.

Key Features and Updates:

• Added the following HuggingFace demos: GPT-J-6B, GPT2-XL, and GPT2-Medium
• Added nvinfer1::plugin namespace
• Optimized KV Cache performance for T5

TensorRT OSS release corresponding to TensorRT 8.5.2.2 GA release.

Updates since TensorRT 8.5.1 GA release. Please refer to the TensorRT 8.5.2 GA release notes for more information.

Key Features and Updates:

• Plugin enhancements
  • Added LayerNormPlugin, SplitGeLUPlugin, GroupNormPlugin, and SeqLen2SpatialPlugin to support stable diffusion demo.
• KV-cache and beam search to GPT2 and T5 demos