text: _base_ = ['./rotated-detection_static.py', '../_base_/backends/tensorrt.py']
  
  onnx_config = dict(
      output_names=['dets', 'labels'],
      input_shape=None,
      dynamic_axes={
          'input': {
              0: 'batch',
              2: 'height',
              3: 'width'
          },
          'dets': {
              0: 'batch',
              1: 'num_dets',
          },
          'labels': {
              0: 'batch',
              1: 'num_dets',
          },
      },
  )
  
  backend_config = dict(
      common_config=dict(max_workspace_size=1 << 30),
      model_inputs=[
          dict(
              input_shapes=dict(
                  input=dict(
                      min_shape=[1, 3, 320, 320],
                      opt_shape=[1, 3, 1024, 1024],
                      max_shape=[1, 3, 1024, 1024])))
      ])
  