Remove Longformers from ONNX-supported models (#15273)

docs/source/serialization.mdx

@@ -43,7 +43,7 @@ and are designed to be easily extendable to other architectures.
 
 Ready-made configurations include the following architectures:
 
-<!--This table is automatically generated by make style, do not fill manually!-->
+<!--This table is automatically generated by `make fix-copies`, do not fill manually!-->
 
 - ALBERT
 - BART
@@ -53,7 +53,6 @@ Ready-made configurations include the following architectures:
 - GPT Neo
 - I-BERT
 - LayoutLM
-- Longformer
 - Marian
 - mBART
 - OpenAI GPT-2

src/transformers/models/longformer/configuration_longformer.py

@@ -13,10 +13,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """ Longformer configuration"""
-from collections import OrderedDict
-from typing import List, Mapping, Union
+from typing import List, Union
 
-from ...onnx import OnnxConfig
 from ...utils import logging
 from ..roberta.configuration_roberta import RobertaConfig
 
@@ -69,18 +67,3 @@ class LongformerConfig(RobertaConfig):
     def __init__(self, attention_window: Union[List[int], int] = 512, sep_token_id: int = 2, **kwargs):
         super().__init__(sep_token_id=sep_token_id, **kwargs)
         self.attention_window = attention_window
-
-
-class LongformerOnnxConfig(OnnxConfig):
-    @property
-    def inputs(self) -> Mapping[str, Mapping[int, str]]:
-        return OrderedDict(
-            [
-                ("input_ids", {0: "batch", 1: "sequence"}),
-                ("attention_mask", {0: "batch", 1: "sequence"}),
-            ]
-        )
-
-    @property
-    def outputs(self) -> Mapping[str, Mapping[int, str]]:
-        return OrderedDict([("last_hidden_state", {0: "batch", 1: "sequence"}), ("pooler_output", {0: "batch"})])

src/transformers/onnx/features.py

@@ -11,7 +11,6 @@
 from ..models.gpt_neo import GPTNeoOnnxConfig
 from ..models.ibert import IBertOnnxConfig
 from ..models.layoutlm import LayoutLMOnnxConfig
-from ..models.longformer import LongformerOnnxConfig
 from ..models.marian import MarianOnnxConfig
 from ..models.mbart import MBartOnnxConfig
 from ..models.roberta import RobertaOnnxConfig
@@ -154,15 +153,6 @@ class FeaturesManager:
             "question-answering",
             onnx_config_cls=DistilBertOnnxConfig,
         ),
-        "longformer": supported_features_mapping(
-            "default",
-            "masked-lm",
-            "sequence-classification",
-            # "multiple-choice",
-            "token-classification",
-            "question-answering",
-            onnx_config_cls=LongformerOnnxConfig,
-        ),
         "marian": supported_features_mapping(
             "default",
             "default-with-past",

tests/test_onnx_v2.py

@@ -174,7 +174,6 @@ def test_values_override(self):
     ("ibert", "kssteven/ibert-roberta-base"),
     ("camembert", "camembert-base"),
     ("distilbert", "distilbert-base-cased"),
-    # ("longFormer", "longformer-base-4096"),
     ("roberta", "roberta-base"),
     ("xlm-roberta", "xlm-roberta-base"),
     ("layoutlm", "microsoft/layoutlm-base-uncased"),

utils/check_table.py

@@ -210,7 +210,7 @@ def check_onnx_model_list(overwrite=False):
     """Check the model list in the serialization.mdx is consistent with the state of the lib and maybe `overwrite`."""
     current_list, start_index, end_index, lines = _find_text_in_file(
         filename=os.path.join(PATH_TO_DOCS, "serialization.mdx"),
-        start_prompt="<!--This table is automatically generated by make style, do not fill manually!-->",
+        start_prompt="<!--This table is automatically generated by `make fix-copies`, do not fill manually!-->",
         end_prompt="The ONNX conversion is supported for the PyTorch versions of the models.",
     )
     new_list = get_onnx_model_list()