code: def testConv(self, precision):
      for dtype in set(self.float_types).intersection(
          set([dtypes.bfloat16.as_numpy_dtype, 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
              if precision:
                  precision_config = xla_data_pb2.PrecisionConfig()
                  precision_config.operand_precision.extend(
                      [precision, precision]
                  )
              return xla.conv(
                  lhs,
                  rhs,
                  window_strides=(1,),
                  padding=((2, 1),),
                  lhs_dilation=(1,),
                  rhs_dilation=(2,),
                  dimension_numbers=dnums,
                  precision_config=precision_config,
              )
  
          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=dtype
              ),
          )
  
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 7 for calling the XlaOpsNumericalTest obj's underlying member method code with example usage: obj.testConv(precision) and returns: xla