IBM Analog Hardware Acceleration Kit
v0.3.0

Contents:

  • Installation
  • Advanced installation guide
  • Analog AI
  • Using the pytorch integration
  • Using analog tiles
  • Inference and PCM statistical model
  • Using Experiments
  • aihwkit design
  • Development setup
  • Development conventions
  • Project roadmap
  • Changelog
  • API Reference
IBM Analog Hardware Acceleration Kit
  • »
  • aihwkit package
  • Edit on GitHub

aihwkit package¶

Analog hardware library for PyTorch.

Subpackages¶

  • aihwkit.cloud package
    • Subpackages
      • aihwkit.cloud.client package
        • Subpackages
        • Submodules
      • aihwkit.cloud.converter package
        • Subpackages
        • Submodules
  • aihwkit.experiments package
    • Subpackages
      • aihwkit.experiments.experiments package
        • Submodules
      • aihwkit.experiments.runners package
        • Submodules
  • aihwkit.nn package
    • Subpackages
      • aihwkit.nn.modules package
        • Submodules
    • Submodules
      • aihwkit.nn.functions module
  • aihwkit.optim package
    • Submodules
      • aihwkit.optim.analog_sgd module
  • aihwkit.simulator package
    • Subpackages
      • aihwkit.simulator.configs package
        • Submodules
      • aihwkit.simulator.presets package
        • Submodules
      • aihwkit.simulator.rpu_base module
        • Submodules
      • aihwkit.simulator.tiles package
        • Submodules
    • Submodules
      • aihwkit.simulator.noise_models module
  • aihwkit.utils package
    • Submodules
      • aihwkit.utils.visualization module

Submodules¶

  • aihwkit.exceptions module

© Copyright 2020, 2021 IBM Research Revision 3938f9de.

Built with Sphinx using a theme provided by Read the Docs.