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PaddleSpeech/deepspeech/training/extensions/visualizer.py

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# Copyright (c) 2021 PaddlePaddle 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.
from visualdl import LogWriter
from . import extension
from ..updaters.trainer import Trainer
class VisualDL(extension.Extension):
"""A wrapper of visualdl log writer. It assumes that the metrics to be visualized
are all scalars which are recorded into the `.observation` dictionary of the
trainer object. The dictionary is created for each step, thus the visualdl log
writer uses the iteration from the updater's `iteration` as the global step to
add records.
"""
trigger = (1, 'iteration')
default_name = 'visualdl'
priority = extension.PRIORITY_READER
def __init__(self, output_dir):
self.writer = LogWriter(str(output_dir))
def __call__(self, trainer: Trainer):
for k, v in trainer.observation.items():
self.writer.add_scalar(k, v, step=trainer.updater.state.iteration)
def finalize(self, trainer):
self.writer.close()