Source code for

# Copyright 2020 Google LLC
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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__all__ = ['Checkpoint']

import glob
import os
from typing import Callable, Optional

from import load_var_collection, save_var_collection
from objax.typing import FileOrStr
from objax.variable import VarCollection

[docs]class Checkpoint: """Helper class which performs saving and restoring of the variables. Variables are stored in the checkpoint files. One checkpoint file stores a single snapshot of the variables. Different checkpoint files store different snapshots of the variables (for example at different training step). Each checkpoint has associated index, which is used to identify time when snapshot of the variables was made. Typically training step or training epoch are used as an index. """ DIR_NAME: str = 'ckpt' """Name of the subdirectory of model directory where checkpoints will be saved.""" FILE_MATCH: str = '*.npz' """File pattern which is used to search for checkpoint files.""" FILE_FORMAT: str = '%010d.npz' """Format of the filename of one checkpoint file.""" LOAD_FN: Callable[[FileOrStr, VarCollection], None] = staticmethod(load_var_collection) """Load function, which loads variables collection from given file.""" SAVE_FN: Callable[[FileOrStr, VarCollection], None] = staticmethod(save_var_collection) """Save function, which saves variables collection into given file."""
[docs] def __init__(self, logdir: str, keep_ckpts: int, makedir: bool = True, verbose: bool = True): """Creates instance of the Checkpoint class. Args: logdir: model directory. Checkpoints will be saved in the subdirectory of model directory. keep_ckpts: maximum number of checkpoints to keep. makedir: if True then directory for checkpoints will be created, otherwise it's expected that directory already exists. verbose: if True then print when data is restored from checkpoint. """ self.logdir = logdir self.keep_ckpts = keep_ckpts self.verbose = verbose if makedir: os.makedirs(os.path.join(logdir, self.DIR_NAME), exist_ok=True)
[docs] @staticmethod def checkpoint_idx(filename: str): """Returns index of checkpoint from given checkpoint filename. Args: filename: checkpoint filename. Returns: checkpoint index. """ return int(os.path.basename(filename).split('.')[0])
[docs] def restore(self, vc: VarCollection, idx: Optional[int] = None): """Restores values of all variables of given variables collection from the checkpoint. Old values from the variables collection will be replaced with the new values read from checkpoint. If variable does not exist in the variables collection, it won't be restored from checkpoint. Args: vc: variables collection to restore. idx: if provided then checkpoint index to use, if None then latest checkpoint will be restored. Returns: idx: index of the restored checkpoint. ckpt: full path to the restored checkpoint. """ assert isinstance(vc, VarCollection), f'Must pass a VarCollection to restore; received type {type(vc)}.' if idx is None: all_ckpts = glob.glob(os.path.join(self.logdir, self.DIR_NAME, self.FILE_MATCH)) if not all_ckpts: if self.verbose: print('No checkpoints found. Skipping restoring variables.') return 0, '' idx = self.checkpoint_idx(max(all_ckpts)) ckpt = os.path.join(self.logdir, self.DIR_NAME, self.FILE_FORMAT % idx) if self.verbose: print('Resuming from', ckpt) self.LOAD_FN(ckpt, vc) return idx, ckpt
[docs] def save(self, vc: VarCollection, idx: int): """Saves variables collection to checkpoint with given index. Args: vc: variables collection to save. idx: index of the new checkpoint where variables should be saved. """ assert isinstance(vc, VarCollection), f'Must pass a VarCollection to save; received type {type(vc)}.' self.SAVE_FN(os.path.join(self.logdir, self.DIR_NAME, self.FILE_FORMAT % idx), vc) for ckpt in sorted(glob.glob(os.path.join(self.logdir, self.DIR_NAME, self.FILE_MATCH)))[:-self.keep_ckpts]: os.remove(ckpt)