Add a new similarity transformer model, register new problem (#146)

* Add a new similarity transformer model, register new problem

* Remove useless constructor

code_search/language_task/t2t_problems/docstring_lm.py

@@ -1,26 +0,0 @@
-import os
-from tensor2tensor.utils import registry
-from tensor2tensor.data_generators import text_problems
-from tensor2tensor.models import transformer
-
-
-@registry.register_problem
-class GithubDocstringLanguageModel(text_problems.Text2SelfProblem):
-  # pylint: disable=abstract-method
-
-  """This class defines the Language Modeling problem for Github docstrings"""
-
-  @property
-  def is_generate_per_split(self):
-    return False
-
-  def generate_samples(self, data_dir, _tmp_dir, dataset_split):  #pylint: disable=no-self-use
-    docstrings_file_path = os.path.join(data_dir, '{}.docstring'.format(dataset_split))
-
-    return text_problems.text2self_txt_iterator(docstrings_file_path)
-
-@registry.register_hparams
-def transformer_gh_lm():
-  hparams = transformer.transformer_base()
-  # TODO(sanyamkapoor): change language model embedding size
-  return hparams

code_search/language_task/t2t_problems/similarity_transformer.py

@@ -1,13 +1,30 @@
 import os
+from tensor2tensor.utils import t2t_model
 from tensor2tensor.utils import registry
 from tensor2tensor.data_generators import text_problems
 
 
-@registry.register_problem
-class GithubFunctionSummarizer(text_problems.Text2TextProblem):
+@registry.register_model
+class SimilarityTransformer(t2t_model.T2TModel):
   # pylint: disable=abstract-method
 
-  """This class defines the problem of converting Python function code to docstring"""
+  """
+  This class defines the model to compute similarity scores between functions and
+  docstrings
+  """
+
+  def body(self, features):
+    # TODO: need to fill this with Transformer encoder/decoder
+    # and loss calculation
+    raise NotImplementedError
+
+
+@registry.register_problem
+class GithubFunctionDocstring(text_problems.Text2TextProblem):
+  # pylint: disable=abstract-method
+
+  """This class defines the problem of finding similarity between Python function
+   and docstring"""
 
   @property
   def is_generate_per_split(self):
@@ -16,7 +33,6 @@ class GithubFunctionSummarizer(text_problems.Text2TextProblem):
   def generate_samples(self, data_dir, _tmp_dir, dataset_split):  #pylint: disable=no-self-use
     """This method returns the generator to return {"inputs": [text], "targets": [text]} dict"""
 
-    # TODO(sanyamkapoor): Merge with validation set file "valid.{function|docstring}"
     functions_file_path = os.path.join(data_dir, '{}.function'.format(dataset_split))
     docstrings_file_path = os.path.join(data_dir, '{}.docstring'.format(dataset_split))