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# Copyright 2023 The TensorFlow Authors. 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.
"""Custom summary manager utilities."""
import os
from typing import Any, Callable, Dict, Optional
import orbit
import tensorflow as tf, tf_keras
from official.core import config_definitions
class ImageScalarSummaryManager(orbit.utils.SummaryManager):
"""Class of custom summary manager that creates scalar and image summary."""
def __init__(
self,
summary_dir: str,
scalar_summary_fn: Callable[..., Any],
image_summary_fn: Optional[Callable[..., Any]],
max_outputs: int = 20,
global_step=None,
):
"""Initializes the `ImageScalarSummaryManager` instance."""
self._enabled = summary_dir is not None
self._summary_dir = summary_dir
self._scalar_summary_fn = scalar_summary_fn
self._image_summary_fn = image_summary_fn
self._summary_writers = {}
self._max_outputs = max_outputs
if global_step is None:
self._global_step = tf.summary.experimental.get_step()
else:
self._global_step = global_step
def _write_summaries(
self, summary_dict: Dict[str, Any], relative_path: str = ''
):
for name, value in summary_dict.items():
if isinstance(value, dict):
self._write_summaries(
value, relative_path=os.path.join(relative_path, name)
)
else:
with self.summary_writer(relative_path).as_default():
if name.startswith('image/'):
self._image_summary_fn(
name, value, self._global_step, max_outputs=self._max_outputs
)
else:
self._scalar_summary_fn(name, value, self._global_step)
def maybe_build_eval_summary_manager(
params: config_definitions.ExperimentConfig, model_dir: str
) -> Optional[orbit.utils.SummaryManager]:
"""Maybe creates a SummaryManager."""
if (
hasattr(params.task, 'allow_image_summary')
and params.task.allow_image_summary
):
eval_summary_dir = os.path.join(
model_dir, params.trainer.validation_summary_subdir
)
return ImageScalarSummaryManager(
eval_summary_dir,
scalar_summary_fn=tf.summary.scalar,
image_summary_fn=tf.summary.image,
)
return None
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