gm.nn.Embedder

gm.nn.Embedder#

class gemma.gm.nn.Embedder(
vocab_size: int,
embed_dim: int,
vision_proj_dim: int | None = None,
parent: flax.linen.module.Module | flax.core.scope.Scope | flax.linen.module._Sentinel | None = <flax.linen.module._Sentinel object>,
name: str | None = None,
)[source]

Bases: flax.linen.module.Module

Embedder module.

vocab_size: int
embed_dim: int
vision_proj_dim: int | None = None
setup()[source]

Initializes a Module lazily (similar to a lazy __init__).

setup is called once lazily on a module instance when a module is bound, immediately before any other methods like __call__ are invoked, or before a setup-defined attribute on self is accessed.

This can happen in three cases:

  1. Immediately when invoking apply(), init() or init_and_output().

  2. Once the module is given a name by being assigned to an attribute of another module inside the other module’s setup method (see __setattr__()):

    >>> class MyModule(nn.Module):
    ...   def setup(self):
    ...     submodule = nn.Conv(...)
    
    ...     # Accessing `submodule` attributes does not yet work here.
    
    ...     # The following line invokes `self.__setattr__`, which gives
    ...     # `submodule` the name "conv1".
    ...     self.conv1 = submodule
    
    ...     # Accessing `submodule` attributes or methods is now safe and
    ...     # either causes setup() to be called once.
    
  3. Once a module is constructed inside a method wrapped with compact(), immediately before another method is called or setup defined attribute is accessed.

encode(x: jax.Array) jax.Array[source]

Encodes the input tokens.

Parameters:

x – Input tokens of shape [seq_len] or [batch_size, seq_len], where each token is an integer in [0, vocab_size).

Returns:

Encoded tokens of shape [seq_len, embed_dim] or [batch_size, seq_len, embed_dim].

decode(x: jax.Array) jax.Array[source]

Decodes the input vectors.

Parameters:

x – Array of shape [seq_len, embed_dim] or [batch_size, seq_len, embed_dim].

Returns:

Array of shape [seq_len, vocab_size] or [batch_size, seq_len, vocab_size].

encode_vision(x: jax.Array) jax.Array[source]

Projects siglip embeddings to the embedding space of the text encoder.

name: str | None = None
parent: flax.linen.module.Module | flax.core.scope.Scope | flax.linen.module._Sentinel | None = None
scope: flax.core.scope.Scope | None = None