code: def _Conv3DBackpropInputGrad(op: ops.Operation, grad):
      data_format = op.get_attr("data_format").decode()
      return [
          None,
          gen_nn_ops.conv3d_backprop_filter_v2(
              grad,
              array_ops.shape(op.inputs[1]),
              op.inputs[2],
              dilations=op.get_attr("dilations"),
              strides=op.get_attr("strides"),
              padding=op.get_attr("padding"),
              data_format=data_format,
          ),
          gen_nn_ops.conv3d(
              grad,
              op.inputs[1],
              dilations=op.get_attr("dilations"),
              strides=op.get_attr("strides"),
              padding=op.get_attr("padding"),
              data_format=data_format,
          ),
      ]
  
imports: import functools
  import itertools
  import operator
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import gen_nn_ops
  from tensorflow.python.ops import math_ops
label_desc: Use image node_id 6 for calling a global function with example usage: _Conv3DBackpropInputGrad(op, grad) and returns: list