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# Copyright (c) 2020 Huawei Technologies Co., Ltd. | |
# Licensed under CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike 4.0 International) (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode | |
# | |
# The code is released for academic research use only. For commercial use, please contact Huawei Technologies Co., Ltd. | |
# 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. | |
# | |
# This file contains content licensed by https://github.com/xinntao/BasicSR/blob/master/LICENSE/LICENSE | |
import time | |
class ScopeTimer: | |
def __init__(self, name): | |
self.name = name | |
def __enter__(self): | |
self.start = time.time() | |
return self | |
def __exit__(self, *args): | |
self.end = time.time() | |
self.interval = self.end - self.start | |
print("{} {:.3E}".format(self.name, self.interval)) | |
class Timer: | |
def __init__(self): | |
self.times = [] | |
def tick(self): | |
self.times.append(time.time()) | |
def get_average_and_reset(self): | |
if len(self.times) < 2: | |
return -1 | |
avg = (self.times[-1] - self.times[0]) / (len(self.times) - 1) | |
self.times = [self.times[-1]] | |
return avg | |
def get_last_iteration(self): | |
if len(self.times) < 2: | |
return 0 | |
return self.times[-1] - self.times[-2] | |
class TickTock: | |
def __init__(self): | |
self.time_pairs = [] | |
self.current_time = None | |
def tick(self): | |
self.current_time = time.time() | |
def tock(self): | |
assert self.current_time is not None, self.current_time | |
self.time_pairs.append([self.current_time, time.time()]) | |
self.current_time = None | |
def get_average_and_reset(self): | |
if len(self.time_pairs) == 0: | |
return -1 | |
deltas = [t2 - t1 for t1, t2 in self.time_pairs] | |
avg = sum(deltas) / len(deltas) | |
self.time_pairs = [] | |
return avg | |
def get_last_iteration(self): | |
if len(self.time_pairs) == 0: | |
return -1 | |
return self.time_pairs[-1][1] - self.time_pairs[-1][0] | |