deps: bump tensorrt from 10.13.2.6 to 10.14.1.48.post1

[dependabot]

Bumps tensorrt from 10.13.2.6 to 10.14.1.48.post1.

Release notes

Sourced from tensorrt's releases.

TensorRT 10.14 Release

10.14 GA - 2025-11-7

• Sample changes

  • Replace all pycuda usages with cuda-python APIs
  • Removed the efficientnet samples
  • Deprecated tensorflow_object_detection and efficientdet samples
  • Samples will no longer be released with the packages. The TensorRT GitHub repository will be the single source.

• Parsers:

  • Added support for the Attention operator
  • Improved refit for ConstantOfShape nodes

• Demos

  • demoDiffusion:
    • Added support for the Cosmos-Predict2 text2image and video2world pipelines

TensorRT 10.13.3 Release

See the TensorRT 10.13.3 Release Notes for more information.

• Added support for TensorRT API Capture and Replay feature, see the developer guide for more information.

Demo changes

• Added support for Flux Kontext pipeline.

TensorRT OSS v8.2.0 EA

TensorRT OSS release corresponding to TensorRT 8.2.0.6 EA release.

Added

• Demo applications showcasing TensorRT inference of HuggingFace Transformers.
  • Support is currently extended to GPT-2 and T5 models.
• Added support for the following ONNX operators:
  • Einsum
  • IsNan
  • GatherND
  • Scatter
  • ScatterElements
  • ScatterND
  • Sign
  • Round
• Added support for building TensorRT Python API on Windows.

Updated

• Notable API updates in TensorRT 8.2.0.6 EA release. See TensorRT Developer Guide for details.
  • Added three new APIs, IExecutionContext: getEnqueueEmitsProfile(), setEnqueueEmitsProfile(), and reportToProfiler() which can be used to collect layer profiling info when the inference is launched as a CUDA graph.
  • Eliminated the global logger; each Runtime, Builder or Refitter now has its own logger.
  • Added new operators: IAssertionLayer, IConditionLayer, IEinsumLayer, IIfConditionalBoundaryLayer, IIfConditionalOutputLayer, IIfConditionalInputLayer, and IScatterLayer.
  • Added new IGatherLayer modes: kELEMENT and kND
  • Added new ISliceLayer modes: kFILL, kCLAMP, and kREFLECT

... (truncated)

Changelog

Sourced from tensorrt's changelog.

TensorRT OSS Release Changelog

10.14 GA - 2025-11-7

• Sample changes

  • Replace all pycuda usages with cuda-python APIs
  • Removed the efficientnet samples
  • Deprecated tensorflow_object_detection and efficientdet samples
  • Samples will no longer be released with the packages. The TensorRT GitHub repository will be the single source.

• Parsers:

  • Added support for the Attention operator
  • Improved refit for ConstantOfShape nodes

• Demos

  • demoDiffusion:
    • Added support for the Cosmos-Predict2 text2image and video2world pipelines

10.13.3 GA - 2025-9-8

• Added support for TensorRT API Capture and Replay feature, see the developer guide for more information.
• Demo changes
  • Added support for Flux Kontext pipeline.

10.13.2 GA - 2025-8-18

• Added support for CUDA 13.0, dropped support for CUDA 11.X
• Dropped support for Ubuntu 20.04
• Dropped support for Python versions < 3.10 for samples and demos

10.13.0 GA - 2025-7-24

• Plugin changes
  • Fixed a division-by-zero error in geluPlugin that occured when the bias is omitted.
  • Completed transition away from using static plugin field/attribute member variables in standard plugins. There's no such need since presently, TRT does not access field information after plugin creators are destructed (deregistered from the plugin registry), nor does access such information without a creator instance.
• Sample changes
  • Deprecated the yolov3_onnx sample due to unstable url of yolo weights.
  • Updated the 1_run_onnx_with_tensorrt and 2_construct_network_with_layer_apis samples to use cuda-python instead of PyCUDA for latest GPU/CUDA support.
• Parser changes
  • Decreased memory usage when importing models with external weights
  • Added loadModelProto, loadInitializer and parseModelProto APIs for IParser. These APIs are meant to be used to load user initializers when parsing ONNX models.
  • Added loadModelProto, loadInitializer and refitModelProto APIs for IParserRefitter. These APIs are meant to be used to load user initializers when refitting ONNX models.
  • Deprecated IParser::parseWithWeightDescriptors.

10.12.0 GA - 2025-6-10

• Plugin changes
  • Migrated IPluginV2-descendent version 1 of cropAndResizeDynamic, to version 2, which implements IPluginV3.
  • Note: The newer versions preserve the attributes and I/O of the corresponding older plugin version. The older plugin versions are deprecated and will be removed in a future release
  • Deprecated the listed versions of the following plugins:
    • DecodeBbox3DPlugin (version 1)
    • DetectionLayer_TRT (version 1)
    • EfficientNMS_TRT (version 1)

... (truncated)

Commits

• See full diff in compare view

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 show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
• @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)