code: def simple_pose_resnet50_v1d(**kwargs):
      r"""ResNet-50-d backbone model from `"Simple Baselines for Human Pose Estimation and Tracking"
      <https://arxiv.org/abs/1804.06208>`_ paper.
      Parameters
      ----------
      pretrained : bool or str
          Boolean value controls whether to load the default pretrained weights for model.
          String value represents the hashtag for a certain version of pretrained weights.
      ctx : Context, default CPU
          The context in which to load the pretrained weights.
      root : str, default '$MXNET_HOME/models'
          Location for keeping the model parameters.
      """
      return get_simple_pose_resnet("resnet50_v1d", **kwargs)
  
file_path: gluon-cv/gluoncv/model_zoo/simple_pose/simple_pose_resnet.py
imports: from __future__ import division
  from mxnet.context import cpu
  from mxnet.gluon.block import HybridBlock
  from mxnet.gluon import nn
  from mxnet import initializer
  import gluoncv
label_desc: Use image node_id 6 for calling a global function with example usage: simple_pose_resnet50_v1d() and returns: get_simple_pose_resnet