Fixes for V0.2 (pytorch#122)

* Fixes in code for v0.2

* Add new requirements, modify conf etc.

Author: chsasank

.gitignore

@@ -5,9 +5,12 @@ advanced
 
 #data things
 beginner_source/hymenoptera_data
+beginner_source/blitz/data
+beginner_source/faces
 intermediate_source/data/
 advanced_source/images/
 *data.zip
+faces.zip
 
 #builds
 _build/

beginner_source/blitz/cifar10_tutorial.py

@@ -216,7 +216,7 @@ def forward(self, x):
 # So, let's get the index of the highest energy:
 _, predicted = torch.max(outputs.data, 1)
 
-print('Predicted: ', ' '.join('%5s' % classes[predicted[j][0]]
+print('Predicted: ', ' '.join('%5s' % classes[predicted[j]]
                               for j in range(4)))
 
 ########################################################################

beginner_source/transfer_learning_tutorial.py

@@ -253,7 +253,7 @@ def visualize_model(model, num_images=6):
             images_so_far += 1
             ax = plt.subplot(num_images//2, 2, images_so_far)
             ax.axis('off')
-            ax.set_title('predicted: {}'.format(dset_classes[preds[j][0]]))
+            ax.set_title('predicted: {}'.format(dset_classes[preds[j]]))
             imshow(inputs.cpu().data[j])
 
             if images_so_far == num_images:

conf.py

@@ -54,7 +54,8 @@
     'examples_dirs': ['beginner_source', 'intermediate_source',
                       'advanced_source'],
     'gallery_dirs': ['beginner', 'intermediate', 'advanced'],
-    'filename_pattern': 'tutorial.py'
+    'filename_pattern': 'tutorial.py',
+    'backreferences_dir': False
 }
 
 for i in range(len(sphinx_gallery_conf['examples_dirs'])):

index.rst

@@ -16,7 +16,6 @@ many other applications at https://github.com/pytorch/examples/
 
 You can find reference documentation for PyTorch's API and layers at 
 http://docs.pytorch.org or via inline help.
-
 If you would like the tutorials section improved, please open a github issue
 here with your feedback: https://github.com/pytorch/tutorials
 

intermediate_source/seq2seq_translation_tutorial.py

@@ -592,7 +592,7 @@ def train(input_variable, target_variable, encoder, decoder, encoder_optimizer,
         for di in range(target_length):
             decoder_output, decoder_hidden, decoder_attention = decoder(
                 decoder_input, decoder_hidden, encoder_output, encoder_outputs)
-            loss += criterion(decoder_output[0], target_variable[di])
+            loss += criterion(decoder_output, target_variable[di])
             decoder_input = target_variable[di]  # Teacher forcing
 
     else:
@@ -606,7 +606,7 @@ def train(input_variable, target_variable, encoder, decoder, encoder_optimizer,
             decoder_input = Variable(torch.LongTensor([[ni]]))
             decoder_input = decoder_input.cuda() if use_cuda else decoder_input
 
-            loss += criterion(decoder_output[0], target_variable[di])
+            loss += criterion(decoder_output, target_variable[di])
             if ni == EOS_token:
                 break
 

requirements.txt

@@ -5,3 +5,7 @@ numpy
 matplotlib
 torchvision
 torch
+
+# to run examples
+pandas
+scikit-image