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pytorch2onnx API supports multimodal input #2644

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pytorch2onnx API supports multimodal input #2644

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6 changes: 6 additions & 0 deletions mmdeploy/apis/pytorch2onnx.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,6 +14,7 @@ def torch2onnx(img: Any,
deploy_cfg: Union[str, mmengine.Config],
model_cfg: Union[str, mmengine.Config],
model_checkpoint: Optional[str] = None,
append_input: list = None,
device: str = 'cuda:0'):
"""Convert PyTorch model to ONNX model.

Expand Down Expand Up @@ -42,6 +43,7 @@ def torch2onnx(img: Any,
model_cfg (str | mmengine.Config): Model config file or Config object.
model_checkpoint (str): A checkpoint path of PyTorch model,
defaults to `None`.
append_input (list): Additional inputs other than images, suitable for multimodal models such as text features of Grounded DINO.
device (str): A string specifying device type, defaults to 'cuda:0'.
"""

Expand All @@ -68,6 +70,10 @@ def torch2onnx(img: Any,

if isinstance(model_inputs, list) and len(model_inputs) == 1:
model_inputs = model_inputs[0]
if isinstance(append_input, list):
temp = [model_inputs]
temp.extend(append_input)
model_inputs = temp
data_samples = data['data_samples']
input_metas = {'data_samples': data_samples, 'mode': 'predict'}

Expand Down