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[RT-Detr] - Add RT-Detr Onnx Config #2040

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[RT-Detr] - Add RT-Detr Onnx Config #2040

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8969e6c
Add RTDetr Onnx Config
YHallouard Oct 6, 2024
58d9548
add test and comment
YHallouard Oct 27, 2024
db800a3
merge main in feature branch
echarlaix Dec 17, 2024
29d380c
fix style
echarlaix Dec 17, 2024
1f71fae
Update tests large model
echarlaix Dec 17, 2024
f25f227
fix expected configs model type
echarlaix Dec 17, 2024
dd2a2a2
Merge branch 'main' into rt-detr-onnx
echarlaix Dec 19, 2024
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15 changes: 14 additions & 1 deletion optimum/exporters/onnx/model_configs.py
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Expand Up @@ -2472,5 +2472,18 @@ def overwrite_shape_and_generate_input(

class EncoderDecoderOnnxConfig(EncoderDecoderBaseOnnxConfig):
NORMALIZED_CONFIG_CLASS = NormalizedEncoderDecoderConfig

DEFAULT_ONNX_OPSET = 14 # uses SDPA in Transformers, hence opset>=14.


class RTDetrOnnxConfig(ViTOnnxConfig):
# Export the operator 'aten::grid_sampler' to ONNX fails under opset 16.
# Support for this operator was added in version 16.
DEFAULT_ONNX_OPSET = 16
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ATOL_FOR_VALIDATION = 1e-5

@property
def inputs(self) -> Dict[str, Dict[int, str]]:
return {
"pixel_values": {0: "batch_size", 1: "num_channels", 2: "height", 3: "width"},
"pixel_mask": {0: "batch_size"},
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@echarlaix echarlaix Dec 18, 2024 •
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why is it needed ? (not needed for ViT models but might be needed for RT-DETR)

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@echarlaix echarlaix Dec 18, 2024 •
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also if needed shouldn't the height / width dimension set to dynamic as well?

}
4 changes: 4 additions & 0 deletions optimum/exporters/tasks.py
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Expand Up @@ -1028,6 +1028,10 @@ class TasksManager:
onnx="RoFormerOnnxConfig",
tflite="RoFormerTFLiteConfig",
),
"rt-detr": supported_tasks_mapping(
"object-detection",
onnx="RTDetrOnnxConfig",
),
"sam": supported_tasks_mapping(
"feature-extraction",
onnx="SamOnnxConfig",
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2 changes: 2 additions & 0 deletions tests/exporters/exporters_utils.py
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Expand Up @@ -145,6 +145,7 @@
"resnet": "hf-internal-testing/tiny-random-resnet",
"roberta": "hf-internal-testing/tiny-random-RobertaModel",
"roformer": "hf-internal-testing/tiny-random-RoFormerModel",
"rt-detr": "PekingU/rtdetr_r18vd",
"sam": "fxmarty/sam-vit-tiny-random",
"segformer": "hf-internal-testing/tiny-random-SegformerModel",
"splinter": "hf-internal-testing/tiny-random-SplinterModel",
Expand Down Expand Up @@ -264,6 +265,7 @@
"resnet": "microsoft/resnet-50",
"roberta": "roberta-base",
"roformer": "junnyu/roformer_chinese_base",
"rt-detr": "PekingU/rtdetr_r101vd",
"sam": "facebook/sam-vit-base",
"segformer": "nvidia/segformer-b0-finetuned-ade-512-512",
"splinter": "hf-internal-testing/tiny-random-SplinterModel",
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