class_docstr: In TRT 7, an input tensor can be pruned if it is not used by the network.
  
  This happens if only its shape is used, but the shape is already defined by
  the optimization profile by setting min=max. (nvbugs/3153064)
  
  After pruning, the TRT network has no input bindings.
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code: def GetParams(self):
      return self.BuildParamsWithMask(
          self.GraphFn,
          dtypes.float32,
          [[1, 2, 5, 3]],
          [[4]],
          extra_inputs=[],
          extra_outputs=[],
          input_mask=[[False, True, True, True]],
          output_mask=[[True]],
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the PrunedInputTest obj's underlying member method code with example usage: obj.GetParams() and returns: self