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77 lines
2.7 KiB
Python
77 lines
2.7 KiB
Python
import pytest
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from spacy.ml.models.tok2vec import build_Tok2Vec_model
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from spacy.ml.models.tok2vec import MultiHashEmbed, CharacterEmbed
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from spacy.ml.models.tok2vec import MishWindowEncoder, MaxoutWindowEncoder
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from spacy.vocab import Vocab
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from spacy.tokens import Doc
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from .util import get_batch
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def test_empty_doc():
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width = 128
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embed_size = 2000
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vocab = Vocab()
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doc = Doc(vocab, words=[])
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tok2vec = build_Tok2Vec_model(
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MultiHashEmbed(
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width=width,
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rows=embed_size,
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also_use_static_vectors=False,
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also_embed_subwords=True,
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),
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MaxoutWindowEncoder(width=width, depth=4, window_size=1, maxout_pieces=3),
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)
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tok2vec.initialize()
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vectors, backprop = tok2vec.begin_update([doc])
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assert len(vectors) == 1
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assert vectors[0].shape == (0, width)
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@pytest.mark.parametrize(
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"batch_size,width,embed_size", [[1, 128, 2000], [2, 128, 2000], [3, 8, 63]]
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)
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def test_tok2vec_batch_sizes(batch_size, width, embed_size):
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batch = get_batch(batch_size)
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tok2vec = build_Tok2Vec_model(
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MultiHashEmbed(
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width=width,
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rows=embed_size,
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also_use_static_vectors=False,
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also_embed_subwords=True,
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),
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MaxoutWindowEncoder(width=width, depth=4, window_size=1, maxout_pieces=3,),
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)
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tok2vec.initialize()
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vectors, backprop = tok2vec.begin_update(batch)
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assert len(vectors) == len(batch)
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for doc_vec, doc in zip(vectors, batch):
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assert doc_vec.shape == (len(doc), width)
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# fmt: off
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@pytest.mark.parametrize(
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"width,embed_arch,embed_config,encode_arch,encode_config",
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[
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(8, MultiHashEmbed, {"rows": 100, "also_embed_subwords": True, "also_use_static_vectors": False}, MaxoutWindowEncoder, {"window_size": 1, "maxout_pieces": 3, "depth": 2}),
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(8, MultiHashEmbed, {"rows": 100, "also_embed_subwords": True, "also_use_static_vectors": False}, MishWindowEncoder, {"window_size": 1, "depth": 6}),
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(8, CharacterEmbed, {"rows": 100, "nM": 64, "nC": 8}, MaxoutWindowEncoder, {"window_size": 1, "maxout_pieces": 3, "depth": 3}),
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(8, CharacterEmbed, {"rows": 100, "nM": 16, "nC": 2}, MishWindowEncoder, {"window_size": 1, "depth": 3}),
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],
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)
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# fmt: on
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def test_tok2vec_configs(width, embed_arch, embed_config, encode_arch, encode_config):
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embed_config["width"] = width
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encode_config["width"] = width
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docs = get_batch(3)
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tok2vec = build_Tok2Vec_model(
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embed_arch(**embed_config),
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encode_arch(**encode_config)
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)
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tok2vec.initialize(docs)
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vectors, backprop = tok2vec.begin_update(docs)
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assert len(vectors) == len(docs)
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assert vectors[0].shape == (len(docs[0]), width)
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backprop(vectors)
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