class_docstr: ResBlock for P3D
  
  Parameters
  ----------
  inplanes : int.
      Input channels of each block.
  planes : int.
      Output channels of each block.
  spatial_stride : int, default is 1.
      Stride in spatial dimension of convolutional layers in a block.
  temporal_stride : int, default is 1.
      Stride in temporal dimension of convolutional layers in a block.
  dilation : int, default is 1.
      Dilation of convolutional layers in a block.
  downsample : bool.
      Whether to contain a downsampling layer in the block.
  num_layers : int.
      The current depth of this layer.
  depth_3d : int.
      Number of 3D layers in the network. For example,
      a P3D with ResNet50 backbone has a depth_3d of 13, which is the sum of 3, 4 and 6.
  block_design : tuple of str.
      Different designs for each block, from 'A', 'B' or 'C'.
  norm_layer : object
      Normalization layer used (default: :class:`mxnet.gluon.nn.BatchNorm`)
      Can be :class:`mxnet.gluon.nn.BatchNorm` or :class:`mxnet.gluon.contrib.nn.SyncBatchNorm`.
  norm_kwargs : dict
      Additional `norm_layer` arguments, for example `num_devices=4`
      for :class:`mxnet.gluon.contrib.nn.SyncBatchNorm`.
  layer_name : str, default is ''.
      Give a name to current block.
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docstr: P3D-C unit
  A compromise design between P3D-A and P3D-B.
docstr_tok: ["P3D-C","unit","A","compromise","design","between","P3D-A","and","P3D-B","."]
code: def P3DC(self, x):
      """P3D-C unit
      A compromise design between P3D-A and P3D-B.
      """
      spatial_x = self.conv2(x)
      spatial_x = self.bn2(spatial_x)
      spatial_x = self.relu(spatial_x)
  
      st_residual_x = self.conv_temporal(spatial_x)
      st_residual_x = self.bn_temporal(st_residual_x)
      st_residual_x = self.relu(st_residual_x)
      return spatial_x + st_residual_x
  
imports: from mxnet import init
  from mxnet.context import cpu
  from mxnet.gluon.block import HybridBlock
  from mxnet.gluon import nn
  from mxnet.gluon.nn import BatchNorm
label_desc: Use image node_id 4 for calling the Bottleneck obj's underlying member method code with example usage: obj.P3DC(x) and returns: unknown