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github.com/Ugness/ELF-pytorch
/ types & classes
Types & classes
19 in github.com/Ugness/ELF-pytorch
⨍
Functions
106
◇
Types & classes
19
↓ 5 callers
Class
RMSNorm
pytorch_lightning/modules/layers.py:35
↓ 4 callers
Class
SamplingConfig
pytorch_lightning/configs/config.py:10
↓ 3 callers
Class
ELF
pytorch_lightning/modules/model.py:39
↓ 3 callers
Class
EMA
pytorch_lightning/lightning_module.py:30
↓ 2 callers
Class
TimestepEmbedder
pytorch_lightning/modules/layers.py:222
↓ 1 callers
Class
Attention
Self-attention with optional RoPE, head-wise RMSNorm on Q/K, and an optional FlashAttention path.
pytorch_lightning/modules/layers.py:165
↓ 1 callers
Class
BottleneckTextProj
pytorch_lightning/modules/layers.py:86
↓ 1 callers
Class
Config
pytorch_lightning/configs/config.py:28
↓ 1 callers
Class
ELFBlock
pytorch_lightning/modules/model.py:20
↓ 1 callers
Class
ELFDataModule
pytorch_lightning/lightning_module.py:352
↓ 1 callers
Class
ELFLitModule
pytorch_lightning/lightning_module.py:78
↓ 1 callers
Class
FinalLayer
pytorch_lightning/modules/layers.py:250
↓ 1 callers
Class
Muon
Muon: Momentum-Orthogonalized by Newton-Schulz. Applies only to 2D matmul-shaped parameters. 1D/embedding/bias parameters should be routed to
pytorch_lightning/utils/muon.py:33
↓ 1 callers
Class
PerEpochGenEvalCallback
Run 32-step generation + gen_ppl + sample_entropy at every epoch end.
pytorch_lightning/callbacks/gen_eval.py:26
↓ 1 callers
Class
SwiGLUFFN
pytorch_lightning/modules/layers.py:209
↓ 1 callers
Class
TextRotaryEmbeddingFast
pytorch_lightning/modules/layers.py:55
Class
EncoderInterface
Frozen text encoder contract for ELF. The ELF transformer needs only three things from an encoder: 1. `d_model` — the hidden size of the la
pytorch_lightning/encoders/base.py:22
Class
Metrics
Generative-PPL + unigram-entropy evaluator (single-process).
pytorch_lightning/utils/metrics_utils.py:20
Class
T5Encoder
Frozen T5 encoder. NO internal op is changed — exact reproduction of HF T5. Notes: * Runs in fp32 (matches ELF JAX). Do not override unless
pytorch_lightning/encoders/t5.py:27