class_docstr: Test for Constant broadcasting in TF-TRT.
docstr: Return the expected graph to convert.
code: def GraphFn(self, x):
      """Return the expected graph to convert."""
      dtype = x.dtype
      filt1 = constant_op.constant(
          0.3, shape=(3, 3, 2, 1), dtype=dtype, name="filt1"
      )
      y1 = nn.conv2d(
          x, filt1, strides=[1, 1, 1, 1], padding="SAME", name="y1"
      )
      z1 = nn.relu(y1, name="z1")
      filt2 = constant_op.constant(
          0.3, shape=(3, 3, 1, 1), dtype=dtype, name="filt2"
      )
      y2 = nn.conv2d(
          z1, filt2, strides=[1, 1, 1, 1], padding="SAME", name="y2"
      )
      z2 = nn.relu(y2, name="z")
      filt3 = constant_op.constant(
          0.3, shape=(3, 3, 1, 1), dtype=dtype, name="filt3"
      )
      y3 = nn.conv2d(
          z2, filt3, strides=[1, 1, 1, 1], padding="SAME", name="y3"
      )
      return nn.relu(y3, name="output_0")
  
file_path: tensorflow-upstream/tensorflow/python/compiler/tensorrt/test/const_broadcast_test.py
imports: 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.ops import nn
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the ConstBroadcastTest obj's underlying member method code with example usage: obj.GraphFn(x) and returns: nn