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Add Features for the Export of Onnx Models #1

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Add Features for the Export of Onnx Models #1

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9 changes: 8 additions & 1 deletion src/transformers/models/bert/configuration_bert.py
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Original file line number Diff line number Diff line change
Expand Up @@ -172,4 +172,11 @@ def inputs(self) -> Mapping[str, Mapping[int, str]]:

@property
def outputs(self) -> Mapping[str, Mapping[int, str]]:
return OrderedDict([("last_hidden_state", {0: "batch", 1: "sequence"}), ("pooler_output", {0: "batch"})])
if self.task == "sequence-classification":
return OrderedDict([("logits", {0: "batch"})])
elif self.task == "token-classification":
return OrderedDict([("logits", {0: "batch", 1: "sequence"})])
elif self.task == "question-answering":
return OrderedDict([("start_logits", {0: "batch", 1: "sequence"}), ("end_logits", {0: "batch", 1: "sequence"})])
else:
return OrderedDict([("last_hidden_state", {0: "batch", 1: "sequence"}), ("pooler_output", {0: "batch"})])
4 changes: 3 additions & 1 deletion src/transformers/models/gpt2/configuration_gpt2.py
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Expand Up @@ -191,7 +191,7 @@ def __init__(
class GPT2OnnxConfig(OnnxConfigWithPast):
@property
def inputs(self) -> Mapping[str, Mapping[int, str]]:
common_inputs = OrderedDict({"input_ids": {0: "batch"}})
common_inputs = OrderedDict({"input_ids": {0: "batch", 1: "sequence"}})
if self.use_past:
for i in range(self._config.n_layer * 2):
common_inputs[f"past_key_values.{i}"] = {0: "batch", 2: "sequence"}
Expand All @@ -204,6 +204,8 @@ def inputs(self) -> Mapping[str, Mapping[int, str]]:

@property
def outputs(self) -> Mapping[str, Mapping[int, str]]:
if self.task == "causal-lm":
return OrderedDict([("logits", {0: "batch", 1: "sequence"})])
common_outputs = OrderedDict({"last_hidden_state": {0: "batch", 1: "sequence"}})
if self.use_past:
for i in range(self._config.n_layer * 2):
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19 changes: 16 additions & 3 deletions src/transformers/onnx/features.py
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Expand Up @@ -59,11 +59,24 @@ class FeaturesManager:
# Set of model topologies we support associated to the features supported by each topology and the factory
_SUPPORTED_MODEL_KIND = {
"albert": supported_features_mapping("default", onnx_config_cls=AlbertOnnxConfig),
"bart": supported_features_mapping("default", onnx_config_cls=BartOnnxConfig),
"bart": supported_features_mapping(
"default",
"sequence-classification",
onnx_config_cls=BartOnnxConfig
),
"mbart": supported_features_mapping("default", onnx_config_cls=MBartOnnxConfig),
"bert": supported_features_mapping("default", onnx_config_cls=BertOnnxConfig),
"bert": supported_features_mapping(
"default",
"sequence-classification",
"token-classification",
"question-answering",
onnx_config_cls=BertOnnxConfig
),
"distilbert": supported_features_mapping("default", onnx_config_cls=DistilBertOnnxConfig),
"gpt2": supported_features_mapping("default", onnx_config_cls=GPT2OnnxConfig),
"gpt2": supported_features_mapping(
"default",
"causal-lm",
onnx_config_cls=GPT2OnnxConfig),
"longformer": supported_features_mapping("default", onnx_config_cls=LongformerOnnxConfig),
"roberta": supported_features_mapping("default", onnx_config_cls=RobertaOnnxConfig),
"t5": supported_features_mapping(
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