Fix concat in interaction layer. (#57)

* Add Support for MatchPyramid model

* Modified interaction layer

* change 2d to 2D

* Flatten conflicts solved.

* fix conv2d and pooling2d

* add MatchPyramid score report

* add MatchPyramid score record

* Fix concat in interaction layer.

* merge

* Delete Conv2d.py

* Delete Pooling2d.py

* Delete test.json

* Update .gitignore

Author: ssdf93

.gitignore

@@ -5,4 +5,4 @@
 *.vs*
 dataset/GloVe/
 dataset/20_newsgroups/
-models/
+models/

block_zoo/attentions/Interaction.py

@@ -58,7 +58,7 @@ def inference(self):
     def verify(self):
         super(InteractionConf, self).verify()
         assert hasattr(self, 'matching_type'), "Please define matching_type attribute of BiGRUConf in default() or the configuration file"
-        assert self.matching_type in ['general', 'dot', 'mul', 'plus', 'minus', 'add'], "Invalid `matching_type`{self.matching_type} received. Must be in `mul`, `general`, `plus`, `minus`, `dot` and `concat`."
+        assert self.matching_type in ['general', 'dot', 'mul', 'plus', 'minus', 'add', 'concat'], "Invalid `matching_type`{self.matching_type} received. Must be in `mul`, `general`, `plus`, `minus`, `dot` and `concat`."
 
 
 class Interaction(BaseLayer):
@@ -120,7 +120,7 @@ def func(x, y):
                     return x - y
             elif self.matching_type == 'concat':
                 def func(x, y):
-                    return torch.concat([x, y], axis=-1)
+                    return torch.cat([x, y], dim=-1)
             else:
                 raise ValueError(f"Invalid matching type."
                                  f"{self.matching_type} received."

model_zoo/nlp_tasks/question_answer_matching/conf_question_answer_matching_pyramid.json

@@ -57,7 +57,7 @@
     "valid_times_per_epoch": 5,
     "fixed_lengths":{
       "question": 30,
-      "passage": 120  
+      "passage": 200  
     }
   },
   "architecture":[
@@ -92,7 +92,6 @@
       "layer": "Interaction",
       "conf": {
           "dropout": 0.2,
-          "hidden_dim": 300,
           "matching_type": "general"
       },
       "inputs": ["question_dropout", "passage_dropout"]