# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and

import paddle


class WrappedPanSegInferModel(paddle.nn.Layer):
    def __init__(self, net, postprocessor):
        super().__init__()
        self.net = net
        self.postprocessor = postprocessor

    def forward(self, x):
        pred = self.net(x)
        # XXX: Currently, pass an empty sample_dict to postprocessor
        out = self.postprocessor({}, pred)
        return [out['pan_pred']]
