code: def testConv2DTransposeLargeOutputShape(self):
      # On GPU, this test does try to allocate the output tensor and OOMs.
      with test_util.device(use_gpu=False):
          with self.assertRaises(
              (errors.InvalidArgumentError, ValueError)
          ):
              op = nn_ops.conv2d_transpose(
                  input=np.ones((2, 2, 2, 2)),
                  output_shape=[114078056, 179835296],
                  strides=[10],
                  filters=[[[[1]]]],
              )
              self.evaluate(op)
  
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 test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variables
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 10 for calling the Conv2DTransposeTest obj's underlying member method code with example usage: obj.testConv2DTransposeLargeOutputShape() without return types