Python tensorflow.keras.callbacks() Examples
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Example #1
Source File: funcs.py From MultiPlanarUNet with MIT License | 4 votes |
def init_callback_objects(callbacks, logger): """ Initialize a list of tf.keras/custom callback descriptors. Args: callbacks: List of callback descriptions. Each list entry should be either a dictionary of the format {"class_name": <name_of_CB_class>, "kwargs": {<dict_with_kwargs>}} ... or an already initialized callback object (which will be skipped). logger: A mpunet logger object logging to screen and/or file Returns: A list of initialized callbacks """ from mpunet import callbacks as tcb cb_objs = [] cb_dict = {} for i, callback in enumerate(callbacks): if not isinstance(callback, dict): # CB already initialized cb = callback kwargs = {"params": "?"} cls_name = callback.__class__.__name__ start_from = 0 else: kwargs = callback["kwargs"] cls_name = callback["class_name"] start_from = callback.get("start_from") if callback.get("pass_logger"): kwargs["logger"] = logger try: cb = getattr(tfcb, cls_name, None) or getattr(tcb, cls_name) except AttributeError as e: raise ValueError("No callback named %s" % cls_name) from e cb = cb(**kwargs) if start_from: logger("OBS: '%s' activates at epoch %i" % (cls_name, start_from)) cb = DelayedCallback(callback=cb, start_from=start_from, logger=logger) cb_objs.append(cb) cb_dict[cls_name] = cb logger("[%i] Using callback: %s(%s)" % (i+1, cb.__class__.__name__, ", ".join(["%s=%s" % (a, kwargs[a]) for a in kwargs]))) return cb_objs, cb_dict