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Swin2sr onnx #1492

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Nov 9, 2023
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3 changes: 3 additions & 0 deletions optimum/exporters/onnx/base.py
Original file line number Diff line number Diff line change
Expand Up @@ -152,6 +152,9 @@ class OnnxConfig(ExportConfig, ABC):
"image-classification": OrderedDict({"logits": {0: "batch_size"}}),
"image-segmentation": OrderedDict({"logits": {0: "batch_size", 1: "num_labels", 2: "height", 3: "width"}}),
"image-to-text": OrderedDict({"logits": {0: "batch_size", 1: "sequence_length"}}),
"image-to-image": OrderedDict(
{"reconstruction": {0: "batch_size", 1: "num_channels", 2: "height", 3: "width"}}
),
"mask-generation": OrderedDict({"logits": {0: "batch_size"}}),
"masked-im": OrderedDict(
{"reconstruction" if check_if_transformers_greater("4.29.0") else "logits": {0: "batch_size"}}
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6 changes: 6 additions & 0 deletions optimum/exporters/tasks.py
Original file line number Diff line number Diff line change
Expand Up @@ -168,6 +168,7 @@ class TasksManager:
"fill-mask": "AutoModelForMaskedLM",
"image-classification": "AutoModelForImageClassification",
"image-segmentation": ("AutoModelForImageSegmentation", "AutoModelForSemanticSegmentation"),
"image-to-image": "AutoModelForImageToImage",
"image-to-text": "AutoModelForVision2Seq",
"mask-generation": "AutoModel",
"masked-im": "AutoModelForMaskedImageModeling",
Expand Down Expand Up @@ -884,6 +885,11 @@ class TasksManager:
"masked-im",
onnx="SwinOnnxConfig",
),
"swin2sr": supported_tasks_mapping(
"feature-extraction",
"image-to-image",
onnx="SwinOnnxConfig",
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),
"t5": supported_tasks_mapping(
"feature-extraction",
"feature-extraction-with-past",
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1 change: 1 addition & 0 deletions tests/exporters/exporters_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -120,6 +120,7 @@
"splinter": "hf-internal-testing/tiny-random-SplinterModel",
"squeezebert": "hf-internal-testing/tiny-random-SqueezeBertModel",
"swin": "hf-internal-testing/tiny-random-SwinModel",
"swin2sr": "hf-internal-testing/tiny-random-Swin2SRModel",
"t5": "hf-internal-testing/tiny-random-t5",
"vit": "hf-internal-testing/tiny-random-vit",
"yolos": "hf-internal-testing/tiny-random-YolosModel",
Expand Down
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