deps: bump tensorrt from 10.6.0 to 10.7.0

[dependabot]

Bumps tensorrt from 10.6.0 to 10.7.0.

Release notes

Sourced from tensorrt's releases.

TensorRT OSS v10.7.0

10.7.0 GA

For more information, see the TensorRT 10.7.0 release notes.

Key Feature and Updates:

• Demo Changes

  • demoDiffusion
    • Enabled low-vram for the Flux pipeline. Users can now run the pipelines on systems with 32GB VRAM.
    • Added support for FLUX.1-schnell pipeline.
    • Enabled weight streaming mode for Flux pipeline.

• Plugin Changes

  • On Blackwell and later platforms, TensorRT will drop cuDNN support on the following categories of plugins
    • User-written IPluginV2Ext, IPluginV2DynamicExt, and IPluginV2IOExt plugins that are dependent on cuDNN handles provided by TensorRT (via the attachToContext() API).
    • TensorRT standard plugins that use cuDNN, specifically:
      • InstanceNormalization_TRT (version: 1, 2, and 3) present in plugin/instanceNormalizationPlugin/.
      • GroupNormalizationPlugin (version: 1) present in plugin/groupNormalizationPlugin/.
      • Note: These normalization plugins are superseded by TensorRT’s native INormalizationLayer (C++, Python). TensorRT support for cuDNN-dependent plugins remain unchanged on pre-Blackwell platforms.

• Parser Changes

  • Now prioritizes using plugins over local functions when a corresponding plugin is available in the registry.
  • Added dynamic axes support for Squeeze and Unsqueeze operations.
  • Added support for parsing mixed-precision BatchNormalization nodes in strongly-typed mode.

• Addressed Issues

  • Fixed 4113.

Changelog

Sourced from tensorrt's changelog.

10.7.0 GA - 2024-12-4

Key Feature and Updates:

• Demo Changes

  • demoDiffusion
    • Enabled low-vram for the Flux pipeline. Users can now run the pipelines on systems with 32GB VRAM.
    • Added support for FLUX.1-schnell pipeline.
    • Enabled weight streaming mode for Flux pipeline.

• Plugin Changes

  • On Blackwell and later platforms, TensorRT will drop cuDNN support on the following categories of plugins
    • User-written IPluginV2Ext, IPluginV2DynamicExt, and IPluginV2IOExt plugins that are dependent on cuDNN handles provided by TensorRT (via the attachToContext() API).
    • TensorRT standard plugins that use cuDNN, specifically:
      • InstanceNormalization_TRT (version: 1, 2, and 3) present in plugin/instanceNormalizationPlugin/.
      • GroupNormalizationPlugin (version: 1) present in plugin/groupNormalizationPlugin/.
      • Note: These normalization plugins are superseded by TensorRT’s native INormalizationLayer (C++, Python). TensorRT support for cuDNN-dependent plugins remain unchanged on pre-Blackwell platforms.

• Parser Changes

  • Now prioritizes using plugins over local functions when a corresponding plugin is available in the registry.
  • Added dynamic axes support for Squeeze and Unsqueeze operations.
  • Added support for parsing mixed-precision BatchNormalization nodes in strongly-typed mode.

• Addressed Issues

  • Fixed 4113.

Commits

• 17003e4 TensorRT 10.7-GA OSS Release (#4269)
• See full diff in compare view

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