code: def testConv2DTransposeInvalidOutputShape(self):
      with self.session():
          with self.assertRaises(
              (errors.InvalidArgumentError, ValueError)
          ):
              op = nn_ops.conv2d_transpose(
                  input=np.ones((1, 1, 1, 1)),
                  filters=np.ones((1, 1, 1, 1)),
                  output_shape=[2, -2],
                  strides=[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 9 for calling the Conv2DTransposeTest obj's underlying member method code with example usage: obj.testConv2DTransposeInvalidOutputShape() without return types