code: def make_conv_fn(self, filter_shape, strides, padding, dilations):
      return _get_conv_transpose_fn(self.method)(
          self.make_integer_input(filter_shape),
          strides=(
              self.make_integer_input(strides)
              if self.dynamic_strides_ok
              else strides
          ),
          padding=padding,
          dilations=self.make_integer_input(dilations),
          validate_args=True,
      )
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.experimental.nn.util import convolution_util
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.internal import tf_keras
label_desc: Use image node_id 1 for calling the _BatchedConvTransposeTest obj's underlying member method code with example usage: obj.make_conv_fn(filter_shape, strides, padding, dilations) and returns: _get_conv_transpose_fn