remove maplotlib inline configuration

keon · Aug 18, 2019 · 2e0ef13 · 2e0ef13
1 parent 262b465
commit 2e0ef13
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Showing 7 changed files with 8 additions and 6 deletions.
diff --git a/03-파이토치로_구현하는_인공_신경망/00-image-recovery.py b/03-파이토치로_구현하는_인공_신경망/00-image-recovery.py
@@ -9,7 +9,7 @@
 # 우리의 목표는 오염된 이미지와 weird_function()의 코드만을 가지고 원본 이미지 파일을 복원하는 것입니다.
 # *참고자료: https://github.com/jcjohnson/pytorch-examples, NYU Intro2ML*
 
-get_ipython().run_line_magic('matplotlib', 'inline')
+
 import torch
 import pickle
 import matplotlib.pyplot as plot

diff --git a/04-딥러닝으로_패션_아이템_구분하기/01-fashion-mnist.py b/04-딥러닝으로_패션_아이템_구분하기/01-fashion-mnist.py
@@ -3,7 +3,7 @@
 
 # # 4.1 Fashion MNIST 데이터셋 알아보기
 
-get_ipython().run_line_magic('matplotlib', 'inline')
+
 from torchvision import datasets, transforms, utils
 from torch.utils import data
 

diff --git a/06-사람의_지도_없이_학습하는_오토인코더/01-basic-autoencoder.py b/06-사람의_지도_없이_학습하는_오토인코더/01-basic-autoencoder.py
@@ -12,7 +12,7 @@
 from mpl_toolkits.mplot3d import Axes3D
 from matplotlib import cm
 import numpy as np
-get_ipython().run_line_magic('matplotlib', 'inline')
+
 
 
 torch.manual_seed(1)    # reproducible

diff --git a/06-사람의_지도_없이_학습하는_오토인코더/02-denoising-autoencoder.py b/06-사람의_지도_없이_학습하는_오토인코더/02-denoising-autoencoder.py
@@ -25,7 +25,7 @@
 from mpl_toolkits.mplot3d import Axes3D
 from matplotlib import cm
 import numpy as np
-get_ipython().run_line_magic('matplotlib', 'inline')
+
 
 
 torch.manual_seed(1)    # reproducible

diff --git a/07-순차적인_데이터를_처리하는_RNN/02-sequence-to-sequence.py b/07-순차적인_데이터를_처리하는_RNN/02-sequence-to-sequence.py
@@ -11,7 +11,7 @@
 import torch.nn.functional as F
 import random
 
-get_ipython().run_line_magic('matplotlib', 'inline')
+
 
 
 vocab_size = 256  # 총 아스키 코드 개수

diff --git a/08-딥러닝_해킹하기/01-fgsm-attack.py b/08-딥러닝_해킹하기/01-fgsm-attack.py
@@ -16,7 +16,7 @@
 import json
 
 
-get_ipython().run_line_magic('matplotlib', 'inline')
+
 import matplotlib.pyplot as plt
 
 

diff --git a/compile_notebooks.py b/compile_notebooks.py
@@ -23,6 +23,7 @@ def main():
     exporter = ScriptExporter()
     cell_pattern = "#\s(In)\[(.*)\]:\n\n\n"  #  # In [*]:
     comment_pattern = "(#(\s*)\n)"
+    matplotlib_pattern = "(.*get_ipython.*)"
 
     for nbpath in glob.iglob('**/*.ipynb', recursive=True):
         base, ext = os.path.splitext(nbpath)
@@ -31,6 +32,7 @@ def main():
         # remove unecessary patterns
         script = re.sub(cell_pattern, "", script)
         script = re.sub(comment_pattern, "", script)
+        script = re.sub(matplotlib_pattern, "", script)
         pypath = (base + resources.get('output_extension', '.txt'))
         print("Saving script %s" % pypath)
         with io.open(pypath, 'w', encoding='utf-8') as f:
Original file line number	Diff line number	Diff line change
Expand Up		@@ -16,7 +16,7 @@
		import json


		get_ipython().run_line_magic('matplotlib', 'inline')

		import matplotlib.pyplot as plt


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