使用paddle.summary()显示模型结构参数等信息

[edwinlong95]

利用paddle.summary()函数数想显示ppyolo_r50vd_dcn_1x_visdrone（configs/sniper/ppyolo_r50vd_dcn_1x_visdrone.yml）模型的参数，但是给出了下面的错误提示：

---------------print params-----------------
Traceback (most recent call last):
  File "tools/train.py", line 171, in <module>
    main()
  File "tools/train.py", line 167, in main
    run(FLAGS, cfg)
  File "tools/train.py", line 118, in run
    trainer = Trainer(cfg, mode='train')
  File "/PaddleDetectionNew/ppdet/engine/trainer.py", line 90, in __init__
    self.model = create(cfg.architecture)
  File "/PaddleDetectionNew/ppdet/core/workspace.py", line 275, in create
    return cls(**cls_kwargs)
  File "/PaddleDetectionNew/ppdet/modeling/architectures/yolo.py", line 61, in __init__
    params_info = paddle.summary(model, (1, 3, 320, 320))
  File "/anaconda3/envs/dxl/lib/python3.7/site-packages/paddle/hapi/model_summary.py", line 223, in summary
    result, params_info = summary_string(net, _input_size, dtypes, input)
  File "<decorator-gen-278>", line 2, in summary_string
  File "/anaconda3/envs/dxl/lib/python3.7/site-packages/paddle/fluid/dygraph/base.py", line 331, in _decorate_function
    return func(*args, **kwargs)
  File "/anaconda3/envs/dxl/lib/python3.7/site-packages/paddle/hapi/model_summary.py", line 353, in summary_string
    model(*x)
  File "/anaconda3/envs/dxl/lib/python3.7/site-packages/paddle/fluid/dygraph/layers.py", line 914, in __call__
    outputs = self.forward(*inputs, **kwargs)
  File "/PaddleDetectionNew/ppdet/modeling/backbones/resnet.py", line 581, in forward
    x = inputs['image']
  File "/anaconda3/envs/dxl/lib/python3.7/site-packages/paddle/fluid/dygraph/varbase_patch_methods.py", line 598, in __getitem__
    return self._getitem_index_not_tensor(item)
ValueError: (InvalidArgument) Currently, Tensor.__indices__() only allows indexing by Integers, Slices, Ellipsis, None, tuples of these types and list of Bool and Integers, but received str in 1th slice item (at /paddle/paddle/fluid/pybind/imperative.cc:637)

添加的代码为：

@register
class YOLOv3(BaseArch):
    __category__ = 'architecture'
    __shared__ = ['data_format']
    __inject__ = ['post_process']

    def __init__(self,
                 backbone='DarkNet',
                 neck='YOLOv3FPN',
                 yolo_head='YOLOv3Head',
                 post_process='BBoxPostProcess',
                 data_format='NCHW',
                 for_mot=False):
        """
        YOLOv3 network, see https://arxiv.org/abs/1804.02767

        Args:
            backbone (nn.Layer): backbone instance
            neck (nn.Layer): neck instance
            yolo_head (nn.Layer): anchor_head instance
            bbox_post_process (object): `BBoxPostProcess` instance
            data_format (str): data format, NCHW or NHWC
            for_mot (bool): whether return other features for multi-object tracking
                models, default False in pure object detection models.
        """
        super(YOLOv3, self).__init__(data_format=data_format)
        self.backbone = backbone
        self.neck = neck
        self.yolo_head = yolo_head
        self.post_process = post_process
        self.for_mot = for_mot
        self.return_idx = isinstance(post_process, JDEBBoxPostProcess)
        print("---------------print params-----------------")
        model = self.backbone
        params_info = paddle.summary(model, (1, 3, 320, 320))
        print(params_info)

就是最后几行代码，从print()函数到结束。我也查过贵方的issue中关于打印模型结构的问题，但是仍然没有找到怎么解决。
参考的api文档：https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/summary_cn.html。
问题：想知道应该怎么使用这个函数来显示模型结构，就那上面这个ppyolo_r50vd_dcn_1x_visdrone模型来举例？

paddlepaddle：2.2.0；PaddleDetection：2.3

[heavengate]

__init__里的backbone是str类型，是在初始化之后通过配置invoke的方法才把他初始化出来的，要打印backbone的话不要在__init__里打印，可以在其他函数里比如说_forward里打印

[edwinlong95]

__init__里的backbone是str类型，是在初始化之后通过配置invoke的方法才把他初始化出来的，要打印backbone的话不要在__init__里打印，可以在其他函数里比如说_forward里打印

好像还是不行，采用了一下几种方式：

 def _forward(self):
        body_feats = self.backbone(self.inputs)
        print("---------------print params-----------------")
        model = self.backbone  # 或者 model = body_feats
        params_info = paddle.summary(model, (1, 3, 320, 320))
        print(params_info)
        print("--------------------------------------------")

        neck_feats = self.neck(body_feats, self.for_mot)

        if isinstance(neck_feats, dict):
            assert self.for_mot == True
            emb_feats = neck_feats['emb_feats']
            neck_feats = neck_feats['yolo_feats']

        if self.training:
            yolo_losses = self.yolo_head(neck_feats, self.inputs)

            if self.for_mot:
                return {'det_losses': yolo_losses, 'emb_feats': emb_feats}
            else:
                return yolo_losses

        else:
            yolo_head_outs = self.yolo_head(neck_feats)

            if self.for_mot:
                boxes_idx, bbox, bbox_num, nms_keep_idx = self.post_process(
                    yolo_head_outs, self.yolo_head.mask_anchors)
                output = {
                    'bbox': bbox,
                    'bbox_num': bbox_num,
                    'boxes_idx': boxes_idx,
                    'nms_keep_idx': nms_keep_idx,
                    'emb_feats': emb_feats,
                }
            else:
                if self.return_idx:
                    _, bbox, bbox_num, _ = self.post_process(
                        yolo_head_outs, self.yolo_head.mask_anchors)
                else:
                    bbox, bbox_num = self.post_process(
                        yolo_head_outs, self.yolo_head.mask_anchors,
                        self.inputs['im_shape'], self.inputs['scale_factor'])
                output = {'bbox': bbox, 'bbox_num': bbox_num}

            return output

body_feats出来的是list对象，不能传入到paddle.summary()中；直接model = self.backbone，仍然是str啊？