code: def testShapeFunctionEdgeCases(self):
      # Shape function requires placeholders and a graph
      with ops.Graph().as_default():
          # Unknown paddings shape.
          inp = constant_op.constant(0.0, shape=[4, 4, 4, 4])
          padded = array_ops.pad(
              inp, array_ops.placeholder(dtypes.int32)
          )
          self.assertEqual(
              [None, None, None, None], padded.get_shape().as_list()
          )
  
          # Unknown input shape.
          inp = array_ops.placeholder(dtypes.float32)
          padded = array_ops.pad(inp, [[2, 2], [2, 2]])
          self.assertEqual([None, None], padded.get_shape().as_list())
  
          # Unknown input and paddings shape.
          inp = array_ops.placeholder(dtypes.float32)
          padded = array_ops.pad(
              inp, array_ops.placeholder(dtypes.int32)
          )
          self.assertAllEqual(None, padded.get_shape().ndims)
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.platform import test
label_desc: Use image node_id 23 for calling the PadOpTest obj's underlying member method code with example usage: obj.testShapeFunctionEdgeCases() without return types