提交 77c8ddb5 编写于 作者: S shippingwang

Move python/paddle/v2/plot/plot.py to /utils

上级 d23c3ff6
...@@ -12,4 +12,6 @@ ...@@ -12,4 +12,6 @@
# See the License for the specific language governing permissions and # See the License for the specific language governing permissions and
# limitations under the License. # limitations under the License.
__all__ = ['dump_config'] from plot import Ploter
__all__ = ['dump_config', 'Ploter']
# Copyright (c) 2016 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
class PlotData(object):
def __init__(self):
self.step = []
self.value = []
def append(self, step, value):
self.step.append(step)
self.value.append(value)
def reset(self):
self.step = []
self.value = []
class Ploter(object):
def __init__(self, *args):
self.__args__ = args
self.__plot_data__ = {}
for title in args:
self.__plot_data__[title] = PlotData()
# demo in notebooks will use Ploter to plot figure, but when we convert
# the ipydb to py file for testing, the import of matplotlib will make the
# script crash. So we can use `export DISABLE_PLOT=True` to disable import
# these libs
self.__disable_plot__ = os.environ.get("DISABLE_PLOT")
if not self.__plot_is_disabled__():
import matplotlib.pyplot as plt
from IPython import display
self.plt = plt
self.display = display
def __plot_is_disabled__(self):
return self.__disable_plot__ == "True"
def append(self, title, step, value):
assert isinstance(title, basestring)
assert self.__plot_data__.has_key(title)
data = self.__plot_data__[title]
assert isinstance(data, PlotData)
data.append(step, value)
def plot(self, path=None):
if self.__plot_is_disabled__():
return
titles = []
for title in self.__args__:
data = self.__plot_data__[title]
assert isinstance(data, PlotData)
if len(data.step) > 0:
titles.append(title)
self.plt.plot(data.step, data.value)
self.plt.legend(titles, loc='upper left')
if path is None:
self.display.clear_output(wait=True)
self.display.display(self.plt.gcf())
else:
self.plt.savefig(path)
self.plt.gcf().clear()
def reset(self):
for key in self.__plot_data__:
data = self.__plot_data__[key]
assert isinstance(data, PlotData)
data.reset()
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