pyspark/bigdl/nn/layer.py
def load_torch(path, bigdl_type="float"):
        """
        Load a pre-trained Torch model.

        :param path: The path containing the pre-trained model.
        :return: A pre-trained model.
        """
        jmodel = callBigDlFunc(bigdl_type, "loadTorch", path)
        return Layer.of(jmodel)
def load_torch(path, bigdl_type="float"):
        jmodel = callBigDlFunc(bigdl_type, "loadTorch", path)
        return Layer.of(jmodel)
def load_torch ( path , bigdl_type = "float" ) : jmodel = callBigDlFunc ( bigdl_type , "loadTorch" , path ) return Layer . of ( jmodel )
Load a pre-trained Torch model.

        :param path: The path containing the pre-trained model.
        :return: A pre-trained model.
Load a pre - trained Torch model .