Complete reference documentation, auto-generated from Lucid source code.
lucid.Tensor
Primary tensor class — 309 methods and properties
lucid.nn
Module, Parameter, and 151 layer classes
lucid.nn.functional
Stateless functional operations (70 functions)
lucid.nn.init
Weight initialization strategies (13 functions)
lucid.nn.utils
Gradient clipping, weight norm, RNN packing
lucid.optim
13 optimizers + 16 learning rate schedulers
lucid.autograd
Function, grad, gradcheck, functional transforms
lucid.func
vmap, grad, vjp, jvp, jacrev, jacfwd, hessian
lucid.linalg
31 decomposition, norm, and solve operations
lucid.fft
22 DFT / Hermitian / shift / frequency functions
lucid.special
12 special-math functions (erf, sinc, gamma, …)
lucid.signal
12 spectral window functions
lucid.distributions
17 distributions + base class + KL registry
lucid.utils.data
Dataset, Sampler, DataLoader
lucid.einops
Einops-style tensor manipulation
lucid.amp
Automatic mixed precision
lucid.profiler
Performance profiling utilities
lucid.serialization
State dict save / load