ultralytics 8.0.81 single-line docstring updates (#2061)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Glenn Jocher
2023-04-17 00:45:36 +02:00
committed by GitHub
parent 5bce1c3021
commit a38f227672
64 changed files with 620 additions and 58 deletions

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@ -2,111 +2,144 @@
"""
Base callbacks
"""
from collections import defaultdict
from copy import deepcopy
# Trainer callbacks ----------------------------------------------------------------------------------------------------
def on_pretrain_routine_start(trainer):
"""Called before the pretraining routine starts."""
pass
def on_pretrain_routine_end(trainer):
"""Called after the pretraining routine ends."""
pass
def on_train_start(trainer):
"""Called when the training starts."""
pass
def on_train_epoch_start(trainer):
"""Called at the start of each training epoch."""
pass
def on_train_batch_start(trainer):
"""Called at the start of each training batch."""
pass
def optimizer_step(trainer):
"""Called when the optimizer takes a step."""
pass
def on_before_zero_grad(trainer):
"""Called before the gradients are set to zero."""
pass
def on_train_batch_end(trainer):
"""Called at the end of each training batch."""
pass
def on_train_epoch_end(trainer):
"""Called at the end of each training epoch."""
pass
def on_fit_epoch_end(trainer):
"""Called at the end of each fit epoch (train + val)."""
pass
def on_model_save(trainer):
"""Called when the model is saved."""
pass
def on_train_end(trainer):
"""Called when the training ends."""
pass
def on_params_update(trainer):
"""Called when the model parameters are updated."""
pass
def teardown(trainer):
"""Called during the teardown of the training process."""
pass
# Validator callbacks --------------------------------------------------------------------------------------------------
def on_val_start(validator):
"""Called when the validation starts."""
pass
def on_val_batch_start(validator):
"""Called at the start of each validation batch."""
pass
def on_val_batch_end(validator):
"""Called at the end of each validation batch."""
pass
def on_val_end(validator):
"""Called when the validation ends."""
pass
# Predictor callbacks --------------------------------------------------------------------------------------------------
def on_predict_start(predictor):
"""Called when the prediction starts."""
pass
def on_predict_batch_start(predictor):
"""Called at the start of each prediction batch."""
pass
def on_predict_batch_end(predictor):
"""Called at the end of each prediction batch."""
pass
def on_predict_postprocess_end(predictor):
"""Called after the post-processing of the prediction ends."""
pass
def on_predict_end(predictor):
"""Called when the prediction ends."""
pass
# Exporter callbacks ---------------------------------------------------------------------------------------------------
def on_export_start(exporter):
"""Called when the model export starts."""
pass
def on_export_end(exporter):
"""Called when the model export ends."""
pass
@ -146,10 +179,23 @@ default_callbacks = {
def get_default_callbacks():
"""
Return a copy of the default_callbacks dictionary with lists as default values.
Returns:
(defaultdict): A defaultdict with keys from default_callbacks and empty lists as default values.
"""
return defaultdict(list, deepcopy(default_callbacks))
def add_integration_callbacks(instance):
"""
Add integration callbacks from various sources to the instance's callbacks.
Args:
instance (Trainer, Predictor, Validator, Exporter): An object with a 'callbacks' attribute that is a dictionary
of callback lists.
"""
from .clearml import callbacks as clearml_callbacks
from .comet import callbacks as comet_callbacks
from .hub import callbacks as hub_callbacks