textbox.module.Embedder

Positional Embedding

class textbox.module.Embedder.position_embedder.LearnedPositionalEmbedding(embedding_size, max_length=512)

Bases: Module

This module produces Learned Positional Embedding.

forward(input_seq, offset=0)

Defines the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

training: bool

class textbox.module.Embedder.position_embedder.SinusoidalPositionalEmbedding(embedding_size, max_length=512)

Bases: Module

This module produces sinusoidal positional embeddings of any length.

forward(input_seq, offset=0)

Defines the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

static get_embedding(max_length, embedding_size)

Build sinusoidal embeddings. This matches the implementation in tensor2tensor, but differs slightly from the description in Section 3.5 of “Attention Is All You Need”.

training: bool