code: def GetParams(self):
      dtype = dtypes.float32
      input_dims = [
          [[1, 10, 10, 2]],
          [[2, 10, 10, 2]],
          [[4, 10, 10, 2]],
          [[2, 10, 10, 2]],
      ]
      expected_output_dims = [
          [[1, 10, 10, 2]],
          [[2, 10, 10, 2]],
          [[4, 10, 10, 2]],
          [[2, 10, 10, 2]],
      ]
      return trt_test.TfTrtIntegrationTestParams(
          graph_fn=self.GraphFn,
          input_specs=[
              tensor_spec.TensorSpec(
                  [None, 10, 10, 2], dtypes.float32, "input"
              )
          ],
          output_specs=[
              tensor_spec.TensorSpec(
                  [None, 10, 10, 1], dtypes.float32, "output"
              )
          ],
          input_dims=input_dims,
          expected_output_dims=expected_output_dims,
      )
  
file_path: tensorflow/tensorflow/python/compiler/tensorrt/test/lru_cache_test.py
imports: import numpy
  from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the LRUCacheTest obj's underlying member method code with example usage: obj.GetParams() and returns: trt_test