Google I/O is a wrap! Catch up on TensorFlow sessions View sessions

tflite_support.task.text.TextSearcher

Class to performs text search.

It works by performing embedding extraction on text, followed by nearest-neighbor search in an index of embeddings through ScaNN.

options

Methods

create_from_file

View source

Creates the TextSearcher object from a TensorFlow Lite model.

Args
model_file_path Path to the model.
index_file_path Path to the index. Only required if the index is not attached to the output tensor metadata as an AssociatedFile with type SCANN_INDEX_FILE.

Returns
TextSearcher object that's created from options.

Raises
ValueError If failed to create TextSearcher object from the provided file such as invalid file.
RuntimeError If other types of error occurred.

create_from_options

View source

Creates the TextSearcher object from text searcher options.

Args
options Options for the text searcher task.

Returns
TextSearcher object that's created from options.

Raises
ValueError If failed to create TextSearcher object from TextSearcherOptions such as missing the model.
RuntimeError If other types of error occurred.

get_user_info

View source

Gets the user info stored in the index file.

Returns
Opaque user info stored in the index file (if any), in raw binary form. Returns an empty string if the index doesn't contain user info.

View source

Search for text with similar semantic meaning.

This method performs actual feature extraction on the provided text input, followed by nearest-neighbor search in the index.

Args
text the input text, used to extract the feature vectors.

Returns
search result.

Raises
ValueError If any of the input arguments is invalid.
RuntimeError If failed to perform nearest-neighbor search.