small fixes to show, attend and tell model and its dataset generation script

Former-commit-id: 4a724626

src/test/resources/models/showAttendTell/Main.emadl

 package showAttendTell;
 
 component Main{
-    ports in Z(0:255)^{3, 224, 224} image,
-         out Z(0:25316)^{1} softmax[19];
+    ports in Z(0:255)^{3, 224, 224} images,
+          in Z(-oo:oo)^{64,2048} data,
+          out Z(0:25316)^{1} target[25];
 
-    instance Show_attend_tell net1;
+    instance Show_attend_tell net;
+
+    connect images -> net.images;
+    connect net.target[:] -> target[:];
 
 
 }

src/test/resources/models/showAttendTell/Show_attend_tell.emadl

@@ -12,7 +12,7 @@ component Show_attend_tell{
       layer FullyConnected(units = 256) features;
       layer FullyConnected(units = 1, flatten=false) attention;
 
-      1 -> target[0];
+      0 -> target[0];
 
       data -> features;
 

src/test/resources/models/showAttendTell/Show_attend_tell_images_as_input.emadl

@@ -14,7 +14,7 @@ component Show_attend_tell_images_as_input{
       layer FullyConnected(units = 256) features;
       layer FullyConnected(units = 1, flatten=false) attention;
 
-      1 -> target[0];
+      0 -> target[0];
 
       images ->
       Convolution(kernel=(7,7), channels=64, stride=(7,7), padding="valid") ->

src/test/resources/training_data/Show_attend_tell/create_dataset.py

@@ -124,6 +124,10 @@ VocabularyInverse = dict((v,k) for k,v in vocabulary.items())
 with open("dict.pkl", "wb") as f:
 	pickle.dump(VocabularyInverse, f, 2)
 
+with open('dict.txt', 'w') as f:
+    for item in VocabularyInverse.values():
+        f.write("%s\n" % item)
+
 # Pad to max length
 for sentence in labels:
     sentence += [2] * (max_length - len(sentence))

src/test/resources/training_data/Show_attend_tell/dict.txt

+<start>
+<end>
+<pad>
+a
+toothbrush
+has
+been
+placed
+in
+can
+of
+beer
+two
+white
+vase
+type
+items
+made
+out
+clay
+sit
+front
+black
+background
+bowls
+filled
+with
+salad
+and
+pasta
+on
+table
+large
+tree
+trunk
+lies
+across
+road
+rural
+area