Index

_

__init__() (keras_mml.layers.activations.BilinearMML method) (keras_mml.layers.activations.GeGLUMML method) (keras_mml.layers.activations.GLUMML method) (keras_mml.layers.activations.ReGLUMML method) (keras_mml.layers.activations.SeGLUMML method) (keras_mml.layers.activations.SwiGLUMML method) (keras_mml.layers.core.DenseMML method) (keras_mml.layers.core.PatchEmbedding method) (keras_mml.layers.core.TokenEmbedding method) (keras_mml.layers.misc.Patches method) (keras_mml.layers.normalizations.RMSNorm method) (keras_mml.layers.recurrent.GRUCellMML method) (keras_mml.layers.recurrent.GRUMML method) (keras_mml.layers.recurrent.LRUCellMML method) (keras_mml.layers.recurrent.LRUMML method) (keras_mml.layers.transformer.AttentionMML method) (keras_mml.layers.transformer.TransformerBlockMML method)

A

activation (keras_mml.layers.activations.GLUMML attribute) (keras_mml.layers.recurrent.GRUCellMML attribute) (keras_mml.layers.recurrent.GRUMML attribute)

AttentionMML (class in keras_mml.layers.transformer)

B

bias_constraint (keras_mml.layers.core.DenseMML attribute) (keras_mml.layers.normalizations.RMSNorm attribute) (keras_mml.layers.recurrent.GRUCellMML attribute) (keras_mml.layers.recurrent.GRUMML attribute) bias_initializer (keras_mml.layers.core.DenseMML attribute) (keras_mml.layers.normalizations.RMSNorm attribute) (keras_mml.layers.recurrent.GRUCellMML attribute) (keras_mml.layers.recurrent.GRUMML attribute) bias_regularizer (keras_mml.layers.core.DenseMML attribute) (keras_mml.layers.normalizations.RMSNorm attribute) (keras_mml.layers.recurrent.GRUCellMML attribute) (keras_mml.layers.recurrent.GRUMML attribute)

BilinearMML (class in keras_mml.layers.activations) build() (keras_mml.layers.activations.GLUMML method) (keras_mml.layers.core.DenseMML method) (keras_mml.layers.core.PatchEmbedding method) (keras_mml.layers.core.TokenEmbedding method) (keras_mml.layers.normalizations.RMSNorm method) (keras_mml.layers.recurrent.GRUCellMML method) (keras_mml.layers.recurrent.LRUCellMML method) (keras_mml.layers.transformer.AttentionMML method) (keras_mml.layers.transformer.TransformerBlockMML method)

C

call() (keras_mml.layers.activations.GLUMML method) (keras_mml.layers.core.DenseMML method) (keras_mml.layers.core.PatchEmbedding method) (keras_mml.layers.core.TokenEmbedding method) (keras_mml.layers.misc.Patches method) (keras_mml.layers.normalizations.RMSNorm method) (keras_mml.layers.recurrent.GRUCellMML method) (keras_mml.layers.recurrent.GRUMML method) (keras_mml.layers.recurrent.LRUCellMML method) (keras_mml.layers.recurrent.LRUMML method) (keras_mml.layers.transformer.AttentionMML method) (keras_mml.layers.transformer.TransformerBlockMML method) (SomeLayer method)

compute_output_shape() (keras_mml.layers.activations.GLUMML method) (keras_mml.layers.core.DenseMML method) (keras_mml.layers.transformer.AttentionMML method) (keras_mml.layers.transformer.TransformerBlockMML method)

D

decode_ternary_array() (in module keras_mml.utils.array.encoding)

DenseMML (class in keras_mml.layers.core)

E

embedding_dim (keras_mml.layers.core.PatchEmbedding attribute) (keras_mml.layers.core.TokenEmbedding attribute) (keras_mml.layers.transformer.TransformerBlockMML attribute)

encode_ternary_array() (in module keras_mml.utils.array.encoding)

F

ffn_dim (keras_mml.layers.transformer.TransformerBlockMML attribute) from_config() (keras_mml.layers.recurrent.GRUMML class method) (keras_mml.layers.recurrent.LRUMML class method) fully_mml (keras_mml.layers.recurrent.GRUCellMML attribute) (keras_mml.layers.recurrent.GRUMML attribute) (keras_mml.layers.recurrent.LRUCellMML attribute) (keras_mml.layers.recurrent.LRUMML attribute) (keras_mml.layers.transformer.AttentionMML attribute) (keras_mml.layers.transformer.TransformerBlockMML attribute)

G

gain_constraint (keras_mml.layers.normalizations.RMSNorm attribute) gain_initializer (keras_mml.layers.normalizations.RMSNorm attribute) gain_regularizer (keras_mml.layers.normalizations.RMSNorm attribute) GeGLUMML (class in keras_mml.layers.activations) get_config() (keras_mml.layers.activations.GLUMML method) (keras_mml.layers.recurrent.GRUCellMML method) (keras_mml.layers.recurrent.GRUMML method) (keras_mml.layers.recurrent.LRUCellMML method) (keras_mml.layers.recurrent.LRUMML method)

get_initial_state() (keras_mml.layers.recurrent.GRUCellMML method) (keras_mml.layers.recurrent.LRUCellMML method) GLUMML (class in keras_mml.layers.activations) GRUCellMML (class in keras_mml.layers.recurrent) GRUMML (class in keras_mml.layers.recurrent)

H

has_learnable_weights (keras_mml.layers.normalizations.RMSNorm attribute)

hidden_ratio (keras_mml.layers.activations.GLUMML attribute)

I

int_to_bin() (in module keras_mml.utils.misc.number)

intermediate_size (keras_mml.layers.activations.GLUMML attribute)

K

keras_mml.layers.activations module keras_mml.layers.core module keras_mml.layers.misc module keras_mml.layers.normalizations module keras_mml.layers.recurrent module keras_mml.layers.transformer module keras_mml.utils.array module

keras_mml.utils.array.encoding module keras_mml.utils.array.ternary_multiplication module keras_mml.utils.misc module keras_mml.utils.misc.coverage module keras_mml.utils.misc.number module kernel_constraint (keras_mml.layers.core.DenseMML attribute) kernel_initializer (keras_mml.layers.core.DenseMML attribute) kernel_regularizer (keras_mml.layers.core.DenseMML attribute)

L

load_own_variables() (keras_mml.layers.core.DenseMML method)

LRUCellMML (class in keras_mml.layers.recurrent) LRUMML (class in keras_mml.layers.recurrent)

M

max_len (keras_mml.layers.core.TokenEmbedding attribute) max_phase (keras_mml.layers.recurrent.LRUCellMML attribute) (keras_mml.layers.recurrent.LRUMML attribute) module keras_mml.layers.activations keras_mml.layers.core keras_mml.layers.misc keras_mml.layers.normalizations keras_mml.layers.recurrent keras_mml.layers.transformer keras_mml.utils.array keras_mml.utils.array.encoding keras_mml.utils.array.ternary_multiplication keras_mml.utils.misc keras_mml.utils.misc.coverage keras_mml.utils.misc.number

N

num_heads (keras_mml.layers.recurrent.GRUCellMML attribute) (keras_mml.layers.recurrent.GRUMML attribute) (keras_mml.layers.transformer.AttentionMML attribute) (keras_mml.layers.transformer.TransformerBlockMML attribute)

num_patches (keras_mml.layers.core.PatchEmbedding attribute)

O

out_dim (keras_mml.layers.transformer.AttentionMML attribute)

output_size (keras_mml.layers.recurrent.GRUCellMML attribute) (keras_mml.layers.recurrent.LRUCellMML attribute)

P

patch_size (keras_mml.layers.misc.Patches attribute)

PatchEmbedding (class in keras_mml.layers.core) Patches (class in keras_mml.layers.misc)

R

r_max (keras_mml.layers.recurrent.LRUCellMML attribute) (keras_mml.layers.recurrent.LRUMML attribute) r_min (keras_mml.layers.recurrent.LRUCellMML attribute) (keras_mml.layers.recurrent.LRUMML attribute)

rate (keras_mml.layers.transformer.TransformerBlockMML attribute) recurrent_activation (keras_mml.layers.recurrent.GRUCellMML attribute) (keras_mml.layers.recurrent.GRUMML attribute) ReGLUMML (class in keras_mml.layers.activations) RMSNorm (class in keras_mml.layers.normalizations)

S

save_own_variables() (keras_mml.layers.core.DenseMML method) scale (keras_mml.layers.normalizations.RMSNorm attribute) SeGLUMML (class in keras_mml.layers.activations) state_dim (keras_mml.layers.recurrent.LRUCellMML attribute) (keras_mml.layers.recurrent.LRUMML attribute)

state_size (keras_mml.layers.recurrent.GRUCellMML attribute) (keras_mml.layers.recurrent.LRUCellMML attribute) SwiGLUMML (class in keras_mml.layers.activations)

T

ternary_multiplication() (in module keras_mml.utils.array.ternary_multiplication) TokenEmbedding (class in keras_mml.layers.core)

torch_compile() (in module keras_mml.utils.misc.coverage) TransformerBlockMML (class in keras_mml.layers.transformer)

U

units (keras_mml.layers.activations.GLUMML attribute) (keras_mml.layers.core.DenseMML attribute) (keras_mml.layers.recurrent.GRUCellMML attribute) (keras_mml.layers.recurrent.GRUMML attribute) (keras_mml.layers.recurrent.LRUCellMML attribute) (keras_mml.layers.recurrent.LRUMML attribute)

use_bias (keras_mml.layers.core.DenseMML attribute) (keras_mml.layers.normalizations.RMSNorm attribute) (keras_mml.layers.recurrent.GRUCellMML attribute) (keras_mml.layers.recurrent.GRUMML attribute) (keras_mml.layers.recurrent.LRUCellMML attribute) (keras_mml.layers.recurrent.LRUMML attribute) use_mml (keras_mml.layers.core.PatchEmbedding attribute)

V

vocab_size (keras_mml.layers.core.TokenEmbedding attribute)

W

weights_constraint (keras_mml.layers.recurrent.GRUCellMML attribute) (keras_mml.layers.recurrent.GRUMML attribute) weights_initializer (keras_mml.layers.recurrent.GRUCellMML attribute) (keras_mml.layers.recurrent.GRUMML attribute)

weights_regularizer (keras_mml.layers.recurrent.GRUCellMML attribute) (keras_mml.layers.recurrent.GRUMML attribute) with_positions (keras_mml.layers.core.PatchEmbedding attribute) (keras_mml.layers.core.TokenEmbedding attribute)