Source code for pytext.task.serialize

#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved

import os
from collections import OrderedDict

import torch
from pytext.config import PyTextConfig, config_from_json, config_to_json
from import CommonMetadata
from pytext.models import Model

from .task import create_task

DATA_STATE = "data_state"
CONFIG_JSON = "config_json"
MODEL_STATE = "model_state"

[docs]def save(config: PyTextConfig, model: Model, meta: CommonMetadata) -> None: """ Save a task, will save the original config, model state and metadata """ save_path = config.save_snapshot_path print(f"Saving pytorch model to: {save_path}") model.save_modules(base_path=config.modules_save_dir) state = OrderedDict( [ (DATA_STATE, meta), (CONFIG_JSON, config_to_json(PyTextConfig, config)), (MODEL_STATE, model.state_dict()), ] ) # type: OrderedDict, save_path)
[docs]def load(load_path: str): """ Load task, will construct the task using the saved config then load metadata and model state. """ if not (load_path and os.path.isfile(load_path)): raise ValueError(f"Invalid snapshot path{load_path}") print(f"Loading model from {load_path}...") state = torch.load(load_path, map_location=lambda storage, loc: storage) config = config_from_json(PyTextConfig, state[CONFIG_JSON]) task = create_task( config.task, metadata=state[DATA_STATE], model_state=state[MODEL_STATE] ) return task, config