onnx variant from https://huggingface.co/KimberleyJSN/melbandroformer

torch.onnx.export(
  mbr_core,
  torch.rand(1, 801, 60, 384, dtype=torch.float32),
  "model.onnx",
  export_params=True,
  input_names = ['input'],
  output_names = ['output'],
  dynamic_axes = {
    'input' : {1 : 'duration'},
    'output' : {1 : 'duration'}
  }
)
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