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# TensorRT OSS Release Changelog
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## 10.15 GA - 2026-2-2
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- Sample changes
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- Added 2 safety samples sampleSafeMNIST, and sampleSafePluginV3 to demonstrate how to use TensorRT with the safety workflow.
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- Added trtSafeExec to accompany the safety workflow release.
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- 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.
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- 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.
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- 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.
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- Deprecated sampleCharRNN.
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- Plugin changes
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- Deprecated bertQKVToContextPlugin and will be removed in a future release. No alternatives are planned to be provided.
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- Parser changes
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- Added support for `RotaryEmbedding`, `RMSNormalization` and `TensorScatter` for improved LLM model support
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- Added more specialized quantization ops for models quantized through TensorRT ModelOptimizer.
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- Added `kREPORT_CAPABILITY_DLA` flag to enable per-node validation when building DLA engines through TensorRT.
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- Added `kENABLE_PLUGIN_OVERRIDE` flag to enable TensorRT plugin override for nodes that share names with user plugins.
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- Improved error reporting for models with multiple subgraphs, such as `Loop` or `Scan` nodes.
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- Demo changes
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- demoDiffusion:
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- Stable Diffusion 1.5, 2.0 and 2.1 pipelines have been deprecated and removed.
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- Added support for Wan2.2-T2V-A14B Text to Video pipeline
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