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# Copyright (c) 2020 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 os
import sys
import time
import numpy as np
class Progbar(object):
"""
Displays a progress bar.
It refers to https://github.com/keras-team/keras/blob/keras-2/keras/utils/generic_utils.py
Args:
target (int): Total number of steps expected, None if unknown.
width (int): Progress bar width on screen.
verbose (int): Verbosity mode, 0 (silent), 1 (verbose), 2 (semi-verbose)
stateful_metrics (list|tuple): Iterable of string names of metrics that should *not* be
averaged over time. Metrics in this list will be displayed as-is. All
others will be averaged by the progbar before display.
interval (float): Minimum visual progress update interval (in seconds).
unit_name (str): Display name for step counts (usually "step" or "sample").
"""
def __init__(self,
target,
width=30,
verbose=1,
interval=0.05,
stateful_metrics=None,
unit_name='step'):
self.target = target
self.width = width
self.verbose = verbose
self.interval = interval
self.unit_name = unit_name
if stateful_metrics:
self.stateful_metrics = set(stateful_metrics)
else:
self.stateful_metrics = set()
self._dynamic_display = (
(hasattr(sys.stderr, 'isatty') and
sys.stderr.isatty()) or 'ipykernel' in sys.modules or
'posix' in sys.modules or 'PYCHARM_HOSTED' in os.environ)
self._total_width = 0
self._seen_so_far = 0
# We use a dict + list to avoid garbage collection
# issues found in OrderedDict
self._values = {}
self._values_order = []
self._start = time.time()
self._last_update = 0
def update(self, current, values=None, finalize=None):
"""
Updates the progress bar.
Args:
current (int): Index of current step.
values (list): List of tuples: `(name, value_for_last_step)`. If `name` is in
`stateful_metrics`, `value_for_last_step` will be displayed as-is.
Else, an average of the metric over time will be displayed.
finalize (bool): Whether this is the last update for the progress bar. If
`None`, defaults to `current >= self.target`.
"""
if finalize is None:
if self.target is None:
finalize = False
else:
finalize = current >= self.target
values = values or []
for k, v in values:
if k not in self._values_order:
self._values_order.append(k)
if k not in self.stateful_metrics:
# In the case that progress bar doesn't have a target value in the first
# epoch, both on_batch_end and on_epoch_end will be called, which will
# cause 'current' and 'self._seen_so_far' to have the same value. Force
# the minimal value to 1 here, otherwise stateful_metric will be 0s.
value_base = max(current - self._seen_so_far, 1)
if k not in self._values:
self._values[k] = [v * value_base, value_base]
else:
self._values[k][0] += v * value_base
self._values[k][1] += value_base
else:
# Stateful metrics output a numeric value. This representation
# means "take an average from a single value" but keeps the
# numeric formatting.
self._values[k] = [v, 1]
self._seen_so_far = current
now = time.time()
info = ' - %.0fs' % (now - self._start)
if self.verbose == 1:
if now - self._last_update < self.interval and not finalize:
return
prev_total_width = self._total_width
if self._dynamic_display:
sys.stderr.write('\b' * prev_total_width)
sys.stderr.write('\r')
else:
sys.stderr.write('\n')
if self.target is not None:
numdigits = int(np.log10(self.target)) + 1
bar = ('%' + str(numdigits) + 'd/%d [') % (current, self.target)
prog = float(current) / self.target
prog_width = int(self.width * prog)
if prog_width > 0:
bar += ('=' * (prog_width - 1))
if current < self.target:
bar += '>'
else:
bar += '='
bar += ('.' * (self.width - prog_width))
bar += ']'
else:
bar = '%7d/Unknown' % current
self._total_width = len(bar)
sys.stderr.write(bar)
if current:
time_per_unit = (now - self._start) / current
else:
time_per_unit = 0
if self.target is None or finalize:
if time_per_unit >= 1 or time_per_unit == 0:
info += ' %.0fs/%s' % (time_per_unit, self.unit_name)
elif time_per_unit >= 1e-3:
info += ' %.0fms/%s' % (time_per_unit * 1e3, self.unit_name)
else:
info += ' %.0fus/%s' % (time_per_unit * 1e6, self.unit_name)
else:
eta = time_per_unit * (self.target - current)
if eta > 3600:
eta_format = '%d:%02d:%02d' % (eta // 3600,
(eta % 3600) // 60, eta % 60)
elif eta > 60:
eta_format = '%d:%02d' % (eta // 60, eta % 60)
else:
eta_format = '%ds' % eta
info = ' - ETA: %s' % eta_format
for k in self._values_order:
info += ' - %s:' % k
if isinstance(self._values[k], list):
avg = np.mean(self._values[k][0] /
max(1, self._values[k][1]))
if abs(avg) > 1e-3:
info += ' %.4f' % avg
else:
info += ' %.4e' % avg
else:
info += ' %s' % self._values[k]
self._total_width += len(info)
if prev_total_width > self._total_width:
info += (' ' * (prev_total_width - self._total_width))
if finalize:
info += '\n'
sys.stderr.write(info)
sys.stderr.flush()
elif self.verbose == 2:
if finalize:
numdigits = int(np.log10(self.target)) + 1
count = ('%' + str(numdigits) + 'd/%d') % (current, self.target)
info = count + info
for k in self._values_order:
info += ' - %s:' % k
avg = np.mean(self._values[k][0] /
max(1, self._values[k][1]))
if avg > 1e-3:
info += ' %.4f' % avg
else:
info += ' %.4e' % avg
info += '\n'
sys.stderr.write(info)
sys.stderr.flush()
self._last_update = now
def add(self, n, values=None):
self.update(self._seen_so_far + n, values)
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