code: def __init__(
      self,
      input_dim,
      output_dim,
      kernel_size,
      stride=1,
      padding=0,
      separable=False,
  ):
      super(STConv3D, self).__init__()
      self.separable = separable
      self.relu = nn.ReLU(inplace=True)
      assert len(kernel_size) == 3
      if separable and kernel_size[0] != 1:
          spatial_kernel_size = [1, kernel_size[1], kernel_size[2]]
          temporal_kernel_size = [kernel_size[0], 1, 1]
          if isinstance(stride, list) and len(stride) == 3:
              spatial_stride = [1, stride[1], stride[2]]
              temporal_stride = [stride[0], 1, 1]
          else:
              spatial_stride = [1, stride, stride]
              temporal_stride = [stride, 1, 1]
          if isinstance(padding, list) and len(padding) == 3:
              spatial_padding = [0, padding[1], padding[2]]
              temporal_padding = [padding[0], 0, 0]
          else:
              spatial_padding = [0, padding, padding]
              temporal_padding = [padding, 0, 0]
      if separable:
          self.conv1 = nn.Conv3d(
              input_dim,
              output_dim,
              kernel_size=spatial_kernel_size,
              stride=spatial_stride,
              padding=spatial_padding,
              bias=False,
          )
          self.bn1 = nn.BatchNorm3d(output_dim)
          self.conv2 = nn.Conv3d(
              output_dim,
              output_dim,
              kernel_size=temporal_kernel_size,
              stride=temporal_stride,
              padding=temporal_padding,
              bias=False,
          )
          self.bn2 = nn.BatchNorm3d(output_dim)
      else:
          self.conv1 = nn.Conv3d(
              input_dim,
              output_dim,
              kernel_size=kernel_size,
              stride=stride,
              padding=padding,
              bias=False,
          )
          self.bn1 = nn.BatchNorm3d(output_dim)
  
imports: import torch
  import torch.nn.functional
  import torch.nn
  import os
  import numpy
  import re
label_desc: Use image node_id 1 to create a new STConv3D object from inherited base classes: nn with example: obj = STConv3D(input_dim, output_dim, kernel_size, stride, padding, separable)