#!/usr/bin/env python
# -*- encoding: utf-8 -*-

# SPDX-FileCopyrightText: Copyright (c) 2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0

# Copyright (c) Megvii Inc. All rights reserved.

import torch.nn as nn

from .yolo_head import YOLOXHead
from .yolo_pafpn import YOLOPAFPN


class YOLOX(nn.Module):
    """
    YOLOX model module. The module list is defined by create_yolov3_modules function.
    The network returns loss values from three YOLO layers during training
    and detection results during test.
    """

    def __init__(self, backbone=None, head=None):
        super().__init__()
        if backbone is None:
            backbone = YOLOPAFPN()
        if head is None:
            head = YOLOXHead(80)

        self.backbone = backbone
        self.head = head

    def forward(self, x, targets=None):
        assert not self.training, "Training mode not supported, please refer to the YOLOX repo"
        fpn_outs = self.backbone(x)
        outputs = self.head(fpn_outs)
        return outputs