Files
candle/candle-nn/src/lib.rs
Laurent Mazare 55bc3382cf Allow for different behavior between training and eval (#1213)
* Forward with training.

* Do not use dropout on vgg evaluation.
2023-10-29 07:53:09 +01:00

38 lines
1.1 KiB
Rust

pub mod activation;
pub mod batch_norm;
pub mod conv;
pub mod embedding;
pub mod func;
pub mod group_norm;
pub mod init;
pub mod layer_norm;
pub mod linear;
pub mod loss;
pub mod ops;
pub mod optim;
pub mod rnn;
pub mod sequential;
pub mod var_builder;
pub mod var_map;
pub use activation::Activation;
pub use batch_norm::{batch_norm, BatchNorm, BatchNormConfig};
pub use conv::{
conv1d, conv2d, conv2d_no_bias, conv_transpose2d, conv_transpose2d_no_bias, Conv1d,
Conv1dConfig, Conv2d, Conv2dConfig, ConvTranspose2d, ConvTranspose2dConfig,
};
pub use embedding::{embedding, Embedding};
pub use func::{func, func_t, Func, FuncT};
pub use group_norm::{group_norm, GroupNorm};
pub use init::Init;
pub use layer_norm::{layer_norm, rms_norm, LayerNorm, LayerNormConfig, RmsNorm};
pub use linear::{linear, linear_no_bias, Linear};
pub use ops::Dropout;
pub use optim::{AdamW, Optimizer, ParamsAdamW, SGD};
pub use rnn::{gru, lstm, GRUConfig, LSTMConfig, GRU, LSTM, RNN};
pub use sequential::{seq, Sequential};
pub use var_builder::VarBuilder;
pub use var_map::VarMap;
pub use candle::{Module, ModuleT};