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github.com/andrewkchan/yalm
/ types & classes
Types & classes
21 in github.com/andrewkchan/yalm
⨍
Functions
105
◇
Types & classes
21
↓ 1 callers
Class
DebugTensor
src/model.h:273
↓ 1 callers
Class
Metadata
convert.py:22
Enum
ActivationType
src/model.h:14
Class
BinaryDumper
src/debug.h:6
Class
Block
Transformer Block */
src/model.h:149
Class
Config
src/model.h:41
Class
CudaGraph
src/model.h:69
Enum
DType
TODO: Should this be narrowed down to what we actually support for model weight representation?
src/codec.h:15
Enum
DataType
src/model.h:274
Enum
Device
src/model.h:23
Enum
InferenceMode
src/model.h:28
Class
InferenceState
Buffer for all state used during a forward pass. Members are reused across subsequent blocks and passes. This lets us avoid allocations during inferen
src/model.h:83
Enum
LayerNormType
src/model.h:19
Class
Model
src/model.h:246
Class
Sampler
src/sampler.h:7
Class
Tensor
src/codec.h:29
Class
ThreadData
64 is the typical cache line size
src/test.cpp:280
Class
TokenTrie
src/tokenizer.h:10
Class
Tokenizer
src/tokenizer.h:51
Class
YALMData
src/codec.h:40
Class
stat
src/codec.cpp:104