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nerfstudio/nerfactory/utils/callbacks.py
Ethan Weber d13a766b9e
Serializing JSON code for drawable objects (and some documentation) (#222)
* some comments and starting serializing comments. on plane w/o formatter

* fixing pylint and black

* removed changes in file

* revert file

* addressing comments

* remove abstract

Co-authored-by: Ethan Weber <ethanweber@Ethans-MacBook-Pro.local>
2022-07-28 13:55:58 -05:00

57 lines
1.8 KiB
Python

# Copyright 2022 The Plenoptix Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Callback code used for training iterations
"""
from typing import Callable
class Callback:
"""Callback class used during training.
The function 'func' with 'args' and 'kwargs' will be called every 'update_every_num_iters' training iterations,
including at iteration 0.
Args:
update_every_num_iters: How often to call the function `func`.
func: The function that will be called.
args: args for the function 'func'.
kwargs: kwargs for the function 'func'.
"""
def __init__(self, update_every_num_iters: int, func: Callable, *args, **kwargs):
# TODO(ethan): how do we type args and kwargs?
self.update_every_num_iters = update_every_num_iters
self.func = func
self.args = args
self.kwargs = kwargs
def before_step(self, step: int):
"""callback to run before training step
Args:
step (int): current iteration step
"""
raise NotImplementedError
def after_step(self, step: int):
"""callback to run after training step
Args:
step (int): current iteration step
"""
if step % self.update_every_num_iters == 0:
self.func(*self.args, **self.kwargs, step=step)