API Reference¶

`aihwkit`	Analog hardware library for PyTorch.
`aihwkit.cloud`	Functionality related to the cloud client for AIHW Composer API.
`aihwkit.cloud.client`	Client for connecting to the the AIHW Composer API.
`aihwkit.cloud.converter`	Conversion utilities for interacting with the AIHW Composer API.
`aihwkit.exceptions`	Custom Exceptions for aihwkit.
`aihwkit.experiments.experiments`	Experiments for aihwkit.
`aihwkit.simulator`	RPU simulator bindings.
`aihwkit.simulator.configs`	Configurations for resistive processing units.
`aihwkit.simulator.noise_models`	Phenomenological noise models for inference.
`aihwkit.simulator.presets`	Configurations presets for resistive processing units.
`aihwkit.simulator.tiles`	High level analog tiles.
`aihwkit.nn`	Neural network modules.
`aihwkit.nn.functions`	Autograd functions for aihwkit.
`aihwkit.nn.modules`	Neural network modules.
`aihwkit.nn.modules.base`	Base class for analog Modules.
`aihwkit.nn.modules.container`	Analog Modules that contain children Modules.
`aihwkit.nn.modules.conv`	Convolution layers.
`aihwkit.nn.modules.linear`	Analog layers.
`aihwkit.optim`	Analog Optimizers.
`aihwkit.optim.analog_sgd`	Analog-aware stochastic gradient descent optimizer.
`aihwkit.utils`	Utilities and helpers for aihwkit.
`aihwkit.utils.visualization`	Visualization utilities.