code: def test_bad_init_args(self):
      # `filters` is not positive.
      with self.assertRaises(ValueError):
          layers.Conv1DTranspose(filters=0, kernel_size=1)
  
      # `kernel_size` has 0.
      with self.assertRaises(ValueError):
          layers.Conv2DTranspose(filters=2, kernel_size=(1, 0))
  
      # `strides` has 0.
      with self.assertRaises(ValueError):
          layers.Conv2DTranspose(
              filters=2, kernel_size=(2, 2), strides=(1, 0)
          )
  
      # `dilation_rate > 1` while `strides > 1`.
      with self.assertRaises(ValueError):
          layers.Conv2DTranspose(
              filters=2,
              kernel_size=(2, 2),
              strides=2,
              dilation_rate=(2, 1),
          )
  
imports: import numpy
  import pytest
  from absl.testing import parameterized
  from keras import backend
  from keras import layers
  from keras import testing
  from keras.backend.common.backend_utils import _convert_conv_tranpose_padding_args_from_keras_to_torch
  from keras.backend.common.backend_utils import compute_conv_transpose_output_shape
  from keras.backend.common.backend_utils import compute_conv_transpose_padding_args_for_jax
label_desc: Use image node_id 4 for calling the ConvTransposeBasicTest obj's underlying member method code with example usage: obj.test_bad_init_args() without return types