code: def resnet152_v1(**kwargs):
      r"""ResNet-152 V1 model from `"Deep Residual Learning for Image Recognition"
      <http://arxiv.org/abs/1512.03385>`_ paper.
  
      Parameters
      ----------
      pretrained : bool, default False
          Whether to load the pretrained weights for model.
      device : Device, default CPU
          The device in which to load the pretrained weights.
      root : str, default '$MXNET_HOME/models'
          Location for keeping the model parameters.
      """
      return get_resnet(1, 152, **kwargs)
  
imports: import os
  from ....device import cpu
  from ...block import HybridBlock
  from ...None import nn
  from ....None import base
  from ....util import use_np, wrap_ctx_to_device_func
  from ....None import npx
label_desc: Use image node_id 7 for calling a global function with example usage: resnet152_v1() and returns: get_resnet