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TRTorch Class Hierarchy
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TRTorch
master v0.0.2 v0.0.1
  • TRTorch 0.0.2 documentation
TRTorch
  • Getting Started
  • Installation
    • Dependencies
    • Dependencies for Compilation
    • Building using cuDNN & TensorRT tarball distributions
    • Building using locally installed cuDNN & TensorRT
  • Getting Started
    • Creating a TorchScript Module
    • Working with TorchScript in Python
    • Compiling with TRTorch in Python
    • Working with TorchScript in C++
    • Compiling with TRTorch in C++
    • Under The Hood
    • Working with Unsupported Operators
  • Post Training Quantization (PTQ)
    • How to create your own PTQ application
  • Contributor Documentation
  • System Overview
    • Compiler Phases
  • Writing Converters
    • Background
    • Converters
    • Converter Contract
    • Conversion Context
    • Args
    • Weights
    • Other advice
  • Useful Links for TRTorch Development
    • TensorRT Available Layers and Expected Dimensions:
    • TensorRT C++ Documentation:
    • TensorRT Python Documentation (Sometimes easier to read):
    • PyTorch Functional API:
    • PyTorch native_ops:
    • PyTorch IR Documentation:
  • Python API Documenation
  • trtorch
    • Functions
    • Enums
    • Submodules
  • trtorch.logging
  • C++ API Documenation
  • TRTorch C++ API
    • Class Hierarchy
    • File Hierarchy
    • Full API
  • Show Source

Class Hierarchy ¶

    • Namespace trtorch
      • Namespace trtorch::logging
        • Enum Level
      • Namespace trtorch::ptq
        • Template Class Int8CacheCalibrator
        • Template Class Int8Calibrator
      • Struct ExtraInfo
        • Struct ExtraInfo::InputRange
        • Class ExtraInfo::DataType
        • Class ExtraInfo::DeviceType
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