How can i saved pretrained model as "savedmodel" tensorflow format ?

trying to load the weight from checkpoint and save entire model as “.savedmodel” format. Here is my code:

cfg_path = os.path.join(os.path.dirname(__file__), 'configs/retinaface_res50.yaml')
checkpoint_path = os.path.join(os.path.dirname(__file__), 'checkpoints/cpkt-81')
saved_path = os.path.join(os.path.dirname(__file__), 'retinaface_res50')


def main(_):
    cfg = load_yaml(cfg_path)
    model = RetinaFaceModel(cfg, training=True)
    model.summary()
    model.load_weights(checkpoint_path).expect_partial()
    model.save(saved_path)

it seem cant load the weights by load_weights():

So how do i save pretrained model as a file in tf2 format ?

[JamesPiggott]

I would also like to know. Face detection models in saved model format are rare

[suraj-maniyar]

I was unable to convert this model to tflite using TFv2.2.0 due to NMS and other native Tensorflow operations. Getting this error :

Has anyone figured out how to port RetinaFace to TensorFlow Lite?