| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| tensorrt_sample_data_20260203.zip | 2026-02-03 | 95.6 MB | |
| README.md | 2026-02-03 | 1.8 kB | |
| TensorRT 10.15 Release source code.tar.gz | 2026-02-03 | 29.4 MB | |
| TensorRT 10.15 Release source code.zip | 2026-02-03 | 30.7 MB | |
| Totals: 4 Items | 155.7 MB | 18 | |
For more information, see the TensorRT 10.15 Release Notes:
Sample changes
- Added 2 safety samples sampleSafeMNIST, and sampleSafePluginV3 to demonstrate how to use TensorRT with the safety workflow.
- Added trtSafeExec to accompany the safety workflow release.
- Added python/stream_writer to showcase how to serialize a TensorRT engine directly to a custom stream using the IStreamWriter interface, rather than writing to a file or a contiguous memory buffer.
- Added python/strongly_type_autocast to demonstrate how to convert FP32 ONNX models to mixed precision (FP32-FP16) using ModelOpt's AutoCast tool and subsequently building the engine with TensorRT's Strong Typing mode.
- Added sampleCudla to demonstrate how to use the cuDLA API to run TensorRT engines on the Deep Learning Accelerator (DLA) hardware, which is available on NVIDIA Jetson and DRIVE platforms.
- Deprecated sampleCharRNN.
Plugin changes
- Deprecated bertQKVToContextPlugin and will be removed in a future release. No alternatives are planned to be provided.
Parser changes
- Added support for RotaryEmbedding, RMSNormalization and TensorScatter for improved LLM model support
- Added more specialized quantization ops for models quantized through TensorRT ModelOptimizer.
- Added kREPORT_CAPABILITY_DLA flag to enable per-node validation when building DLA engines through TensorRT.
- Added kENABLE_PLUGIN_OVERRIDE flag to enable TensorRT plugin override for nodes that share names with user plugins.
- Improved error reporting for models with multiple subgraphs, such as Loop or Scan nodes.
Demo changes
- demoDiffusion: Stable Diffusion 1.5, 2.0 and 2.1 pipelines have been deprecated and removed.