comment plt out

hunkim · hunkim · commit 62453fbdb1b5 · 2017-02-26T19:24:41.000+08:00
diff --git a/.travis.yml b/.travis.yml
@@ -10,7 +10,7 @@ python: # Only two versions for now
 install: "pip install -r requirements.txt"
 
 script:
-  - sed -i -- 's/range(100)/range(1)/g' ??_*.py # change range to 1 for quick testing
+#  - sed -i -- 's/range(100)/range(1)/g' ??_*.py # change range to 1 for quick testing
   - python lab-07-2-learning_rate_and_evaluation.py # run this first to download the MNIST file
   # run all python files in parallel, http://stackoverflow.com/questions/5015316
   - ls *lab-*.py|xargs -n 1 -P 3 python
diff --git a/klab-04-4-stock_linear_regression.py b/klab-04-4-stock_linear_regression.py
@@ -58,6 +58,6 @@
 
 predictions = model.predict(x_test)
 
-plt.plot(y_test)
-plt.plot(predictions)
-plt.show()
+#plt.plot(y_test)
+#plt.plot(predictions)
+#plt.show()
diff --git a/klab-12-3-rnn_prediction.py b/klab-12-3-rnn_prediction.py
@@ -65,6 +65,6 @@
 #testY = scaler.transform(testY)
 
 print(testPredict)
-plt.plot(testY)
-plt.plot(testPredict)
-plt.show()
+#plt.plot(testY)
+#plt.plot(testPredict)
+#plt.show()
diff --git a/klab-12-4-rnn_2_prediction.py b/klab-12-4-rnn_2_prediction.py
@@ -69,6 +69,6 @@
 #testY = scaler.transform(testY)
 
 print(testPredict)
-plt.plot(testY)
-plt.plot(testPredict)
-plt.show()
+#plt.plot(testY)
+#plt.plot(testPredict)
+#plt.show()
diff --git a/lab-07-2-learning_rate_and_evaluation.py b/lab-07-2-learning_rate_and_evaluation.py
@@ -2,6 +2,7 @@
 import tensorflow as tf
 import random
 import matplotlib.pyplot as plt
+from sys import platform
 
 from tensorflow.examples.tutorials.mnist import input_data
 
@@ -53,6 +54,7 @@
     print("Prediction: ", sess.run(
         tf.argmax(hypothesis, 1), {X: mnist.test.images[r:r + 1]}))
 
+
     #plt.imshow(mnist.test.images[r:r + 1].
     #           reshape(28, 28), cmap='Greys', interpolation='nearest')
     # plt.show()
diff --git a/lab-10-1-mnist_softmax.py b/lab-10-1-mnist_softmax.py
@@ -63,9 +63,9 @@
 print("Prediction: ", sess.run(
     tf.argmax(hypothesis, 1), {X: mnist.test.images[r:r + 1]}))
 
-plt.imshow(mnist.test.images[r:r + 1].
-           reshape(28, 28), cmap='Greys', interpolation='nearest')
-plt.show()
+#plt.imshow(mnist.test.images[r:r + 1].
+#           reshape(28, 28), cmap='Greys', interpolation='nearest')
+#plt.show()
 
 '''
 Epoch: 0001 cost = 5.888845987
diff --git a/lab-10-2-mnist_nn.py b/lab-10-2-mnist_nn.py
@@ -70,9 +70,9 @@
 print("Prediction: ", sess.run(
     tf.argmax(hypothesis, 1), {X: mnist.test.images[r:r + 1]}))
 
-plt.imshow(mnist.test.images[r:r + 1].
-           reshape(28, 28), cmap='Greys', interpolation='nearest')
-plt.show()
+#plt.imshow(mnist.test.images[r:r + 1].
+#           reshape(28, 28), cmap='Greys', interpolation='nearest')
+#plt.show()
 
 '''
 Epoch: 0001 cost = 141.207671860
diff --git a/lab-10-3-mnist_nn_xavier.py b/lab-10-3-mnist_nn_xavier.py
@@ -74,9 +74,9 @@
 print("Prediction: ", sess.run(
     tf.argmax(hypothesis, 1), {X: mnist.test.images[r:r + 1]}))
 
-plt.imshow(mnist.test.images[r:r + 1].
-           reshape(28, 28), cmap='Greys', interpolation='nearest')
-plt.show()
+#plt.imshow(mnist.test.images[r:r + 1].
+#           reshape(28, 28), cmap='Greys', interpolation='nearest')
+#plt.show()
 
 '''
 Epoch: 0001 cost = 0.301498963
diff --git a/lab-10-4-mnist_nn_deep.py b/lab-10-4-mnist_nn_deep.py
@@ -84,9 +84,9 @@
 print("Prediction: ", sess.run(
     tf.argmax(hypothesis, 1), {X: mnist.test.images[r:r + 1]}))
 
-plt.imshow(mnist.test.images[r:r + 1].
-           reshape(28, 28), cmap='Greys', interpolation='nearest')
-plt.show()
+#plt.imshow(mnist.test.images[r:r + 1].
+#           reshape(28, 28), cmap='Greys', interpolation='nearest')
+#plt.show()
 
 '''
 Epoch: 0001 cost = 0.266061549
diff --git a/lab-10-5-mnist_nn_dropout.py b/lab-10-5-mnist_nn_dropout.py
@@ -92,9 +92,9 @@
 print("Prediction: ", sess.run(
     tf.argmax(hypothesis, 1), {X: mnist.test.images[r:r + 1], keep_prob: 1}))
 
-plt.imshow(mnist.test.images[r:r + 1].
-           reshape(28, 28), cmap='Greys', interpolation='nearest')
-plt.show()
+#plt.imshow(mnist.test.images[r:r + 1].
+#           reshape(28, 28), cmap='Greys', interpolation='nearest')
+#plt.show()
 
 '''
 Epoch: 0001 cost = 0.447322626
diff --git a/lab-10-6-mnist_scope.py b/lab-10-6-mnist_scope.py
@@ -99,9 +99,9 @@
 print("Prediction: ", sess.run(
     tf.argmax(hypothesis, 1), {X: mnist.test.images[r:r + 1], keep_prob: 1}))
 
-plt.imshow(mnist.test.images[r:r + 1].
-           reshape(28, 28), cmap='Greys', interpolation='nearest')
-plt.show()
+#plt.imshow(mnist.test.images[r:r + 1].
+#           reshape(28, 28), cmap='Greys', interpolation='nearest')
+#plt.show()
 
 '''
 Epoch: 0001 cost = 0.447322626
diff --git a/lab-11-1-mnist_cnn.py b/lab-11-1-mnist_cnn.py
@@ -95,9 +95,9 @@
 print("Prediction: ", sess.run(
     tf.argmax(hypothesis, 1), {X: mnist.test.images[r:r + 1]}))
 
-plt.imshow(mnist.test.images[r:r + 1].
-           reshape(28, 28), cmap='Greys', interpolation='nearest')
-plt.show()
+#plt.imshow(mnist.test.images[r:r + 1].
+#           reshape(28, 28), cmap='Greys', interpolation='nearest')
+#plt.show()
 
 '''
 Epoch: 0001 cost = 0.340291267
diff --git a/lab-11-2-mnist_deep_cnn.py b/lab-11-2-mnist_deep_cnn.py
@@ -132,8 +132,8 @@
 print("Prediction: ", sess.run(
     tf.argmax(hypothesis, 1), {X: mnist.test.images[r:r + 1], keep_prob: 1}))
 
-plt.imshow(mnist.test.images[r:r + 1].
-           reshape(28, 28), cmap='Greys', interpolation='nearest')
+#plt.imshow(mnist.test.images[r:r + 1].
+#           reshape(28, 28), cmap='Greys', interpolation='nearest')
 #plt.show()
 
 '''
