Merge pull request #815 from PaddlePaddle/timer

add timer
pull/817/head
Hui Zhang 3 years ago committed by GitHub
commit 932889d92f
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@ -0,0 +1,49 @@
# 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.
import datetime
import time
from deepspeech.utils.log import Log
__all__ = ["Timer"]
logger = Log(__name__).getlog()
class Timer():
"""To be used like this:
with Timer("Message") as value:
do some thing
"""
def __init__(self, message):
self.message = message
def duration(self) -> str:
elapsed_time = time.time() - self.start
time_str = str(datetime.timedelta(seconds=elapsed_time))
return time_str
def __enter__(self):
self.start = time.time()
return self
def __exit__(self, type, value, traceback):
logger.info(self.message.format(self.duration()))
def __call__(self) -> float:
return time.time() - self.start
def __str__(self):
return self.duration()

@ -18,6 +18,7 @@ import paddle
from paddle import distributed as dist
from tensorboardX import SummaryWriter
from deepspeech.training.timer import Timer
from deepspeech.utils import mp_tools
from deepspeech.utils.checkpoint import Checkpoint
from deepspeech.utils.log import Log
@ -184,6 +185,7 @@ class Trainer():
def train(self):
"""The training process control by epoch."""
with Timer("Load/Init Model: {}"):
from_scratch = self.resume_or_scratch()
if from_scratch:
# save init model, i.e. 0 epoch
@ -240,6 +242,7 @@ class Trainer():
"""The routine of the experiment after setup. This method is intended
to be used by the user.
"""
with Timer("Training Done: {}"):
try:
self.train()
except KeyboardInterrupt:
@ -247,7 +250,6 @@ class Trainer():
exit(-1)
finally:
self.destory()
logger.info("Training Done.")
def setup_output_dir(self):
"""Create a directory used for output.

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