added deit onnx config (huggingface#16887)

* added deit onnx config

docs/source/en/serialization.mdx

@@ -56,6 +56,7 @@ Ready-made configurations include the following architectures:
 - ConvBERT
 - Data2VecText
 - Data2VecVision
+- DeiT
 - DistilBERT
 - ELECTRA
 - FlauBERT

src/transformers/models/deit/__init__.py

@@ -21,7 +21,7 @@
 
 
 _import_structure = {
-    "configuration_deit": ["DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DeiTConfig"],
+    "configuration_deit": ["DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "DeiTConfig", "DeiTOnnxConfig"],
 }
 
 if is_vision_available():
@@ -39,7 +39,7 @@
 
 
 if TYPE_CHECKING:
-    from .configuration_deit import DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, DeiTConfig
+    from .configuration_deit import DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, DeiTConfig, DeiTOnnxConfig
 
     if is_vision_available():
         from .feature_extraction_deit import DeiTFeatureExtractor

src/transformers/models/deit/configuration_deit.py

@@ -14,7 +14,13 @@
 # limitations under the License.
 """ DeiT model configuration"""
 
+from collections import OrderedDict
+from typing import Mapping
+
+from packaging import version
+
 from ...configuration_utils import PretrainedConfig
+from ...onnx import OnnxConfig
 from ...utils import logging
 
 
@@ -120,3 +126,19 @@ def __init__(
         self.num_channels = num_channels
         self.qkv_bias = qkv_bias
         self.encoder_stride = encoder_stride
+
+
+class DeiTOnnxConfig(OnnxConfig):
+    torch_onnx_minimum_version = version.parse("1.11")
+
+    @property
+    def inputs(self) -> Mapping[str, Mapping[int, str]]:
+        return OrderedDict(
+            [
+                ("pixel_values", {0: "batch", 1: "sequence"}),
+            ]
+        )
+
+    @property
+    def atol_for_validation(self) -> float:
+        return 1e-4

src/transformers/onnx/features.py

@@ -12,6 +12,7 @@
 from ..models.camembert import CamembertOnnxConfig
 from ..models.convbert import ConvBertOnnxConfig
 from ..models.data2vec import Data2VecTextOnnxConfig
+from ..models.deit import DeiTOnnxConfig
 from ..models.distilbert import DistilBertOnnxConfig
 from ..models.electra import ElectraOnnxConfig
 from ..models.flaubert import FlaubertOnnxConfig
@@ -38,6 +39,7 @@
         AutoModel,
         AutoModelForCausalLM,
         AutoModelForImageClassification,
+        AutoModelForMaskedImageModeling,
         AutoModelForMaskedLM,
         AutoModelForMultipleChoice,
         AutoModelForQuestionAnswering,
@@ -103,6 +105,7 @@ class FeaturesManager:
             "multiple-choice": AutoModelForMultipleChoice,
             "question-answering": AutoModelForQuestionAnswering,
             "image-classification": AutoModelForImageClassification,
+            "masked-im": AutoModelForMaskedImageModeling,
         }
     if is_tf_available():
         _TASKS_TO_TF_AUTOMODELS = {
@@ -294,8 +297,15 @@ class FeaturesManager:
             "question-answering",
             onnx_config_cls=ElectraOnnxConfig,
         ),
-        "vit": supported_features_mapping("default", "image-classification", onnx_config_cls=ViTOnnxConfig),
-        "beit": supported_features_mapping("default", "image-classification", onnx_config_cls=BeitOnnxConfig),
+        "vit": supported_features_mapping(
+            "default", "image-classification", "masked-im", onnx_config_cls=ViTOnnxConfig
+        ),
+        "beit": supported_features_mapping(
+            "default", "image-classification", "masked-im", onnx_config_cls=BeitOnnxConfig
+        ),
+        "deit": supported_features_mapping(
+            "default", "image-classification", "masked-im", onnx_config_cls=DeiTOnnxConfig
+        ),
         "blenderbot": supported_features_mapping(
             "default",
             "default-with-past",

tests/onnx/test_onnx_v2.py

@@ -182,6 +182,7 @@ def test_values_override(self):
     ("xlm-roberta", "xlm-roberta-base"),
     ("layoutlm", "microsoft/layoutlm-base-uncased"),
     ("vit", "google/vit-base-patch16-224"),
+    ("deit", "facebook/deit-small-patch16-224"),
     ("beit", "microsoft/beit-base-patch16-224"),
     ("data2vec-text", "facebook/data2vec-text-base"),
 }