remove old seq2seq file

transformers/modeling_seq2seq.py

-# coding=utf-8
-# Copyright 2018 The HuggingFace Inc. team.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-""" Conditional generation class. """
-
-
-class Seq2SeqModel(object):
-    def __init__(self):
-        raise EnvironmentError(
-            """Seq2Seq is designed to be instantiated using the
-        `Seq2Seq.from_pretrained(encoder_name_or_path, decoder_name_or_path)` method."""
-        )
-
-    @classmethod
-    def from_pretrained(cls, encoder_name, decoder_name):
-        # Here we should call AutoModel to initialize the models depending
-        # on the pretrained models taken as an input.
-        # For a first iteration we only work with Bert.
-        raise NotImplementedError
-
-    def __call__(self):
-        # allows to call an instance of the class
-        # model = Seq2Seq(encode='bert', decoder='bert')
-        raise NotImplementedError
-
-    def process(self):
-        # alternative API to __call__ it is more explicit.
-        raise NotImplementedError

transformers/tests/modeling_bert_test.py

@@ -255,7 +255,7 @@ class BertModelTest(CommonTestCases.CommonModelTester):
                 [self.batch_size, self.num_choices])
             self.check_loss_output(result)
 
-        def create_and_check_bert2bert(self, config, input_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels):
+        def create_and_check_bert2rnd(self, config, input_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels):
             config.num_choices = self.num_choices
             model = Bert2Rnd(config=config)
             model.eval()

transformers/tests/modeling_seq2seq_test.py

-# coding=utf-8
-# Copyright 2018 The Google AI Language Team Authors.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-import unittest
-
-
-class Seq2SeqTest(unittest.TestCase):
-    raise NotImplementedError
-
-
-def __main__():
-    unittest.main()