class_docstr: A pseudo sampler that does not do sampling actually.
class_docstr_tok: ["A","pseudo","sampler","that","does","not","do","sampling","actually","."]
docstr: Sample positive samples.
docstr_tok: ["Sample","positive","samples","."]
code: def _sample_pos(self, **kwargs):
      """Sample positive samples."""
      raise NotImplementedError
  
file_path: mmdetection/mmdet/models/task_modules/samplers/mask_pseudo_sampler.py
imports: import torch
  from mmengine.structures import InstanceData
  from mmdet.registry import TASK_UTILS
  from ..assigners import AssignResult
  from .base_sampler import BaseSampler
  from .mask_sampling_result import MaskSamplingResult
label_desc: Use image node_id 2 for calling the MaskPseudoSampler obj's underlying member method code with example usage: obj._sample_pos() without return types