_BASE_: [
  '../datasets/coco_detection.yml',
  '../runtime.yml',
  '_base_/optimizer_6x.yml',
  '_base_/rtdetr_r50vd.yml',
  '_base_/rtdetr_reader.yml',
]

weights: output/rtdetr_r101vd_6x_coco/model_final
find_unused_parameters: True
log_iter: 200

pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet101_vd_ssld_pretrained.pdparams

ResNet:
  # index 0 stands for res2
  depth: 101
  variant: d
  norm_type: bn
  freeze_at: 0
  return_idx: [1, 2, 3]
  lr_mult_list: [0.01, 0.01, 0.01, 0.01]
  num_stages: 4
  freeze_stem_only: True

HybridEncoder:
  hidden_dim: 384
  use_encoder_idx: [2]
  num_encoder_layers: 1
  encoder_layer:
    name: TransformerLayer
    d_model: 384
    nhead: 8
    dim_feedforward: 2048
    dropout: 0.
    activation: 'gelu'
  expansion: 1.0