code: def testConvPreferredElementType(self):
      dtype = np.float16
      preferred_element_type = np.float32
  
      def conv_1d_fn(lhs, rhs):
          dnums = xla_data_pb2.ConvolutionDimensionNumbers()
          num_spatial_dims = 1
          dnums.input_batch_dimension = 0
          dnums.input_feature_dimension = 1
          dnums.output_batch_dimension = 0
          dnums.output_feature_dimension = 1
          dnums.kernel_output_feature_dimension = 0
          dnums.kernel_input_feature_dimension = 1
          dnums.input_spatial_dimensions.extend(
              range(2, 2 + num_spatial_dims)
          )
          dnums.kernel_spatial_dimensions.extend(
              range(2, 2 + num_spatial_dims)
          )
          dnums.output_spatial_dimensions.extend(
              range(2, 2 + num_spatial_dims)
          )
          precision_config = None
          return xla.conv(
              lhs,
              rhs,
              window_strides=(1,),
              padding=((2, 1),),
              lhs_dilation=(1,),
              rhs_dilation=(2,),
              dimension_numbers=dnums,
              precision_config=precision_config,
              preferred_element_type=preferred_element_type,
          )
  
      self._assertOpOutputMatchesExpected(
          conv_1d_fn,
          args=(
              np.array([[[3, 4, 5, 6]]], dtype=dtype),
              np.array([[[-2, -3]]], dtype=dtype),
          ),
          expected=np.array(
              [[[-9, -12, -21, -26, -10]]], dtype=preferred_element_type
          ),
      )
  
imports: import functools
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.compiler.tf2xla.ops import gen_xla_ops
  from tensorflow.compiler.tf2xla.python import xla
  from local_xla.xla import xla_data_pb2
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import function
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  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 random_ops_util
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 8 for calling the XlaOpsNumericalTest obj's underlying member method code with example usage: obj.testConvPreferredElementType() and returns: xla