class_docstr: Testing conversion of BatchMatMul where both inputs are tensors.
class_docstr_tok: ["Testing","conversion","of","BatchMatMul","where","both","inputs","are","tensors","."]
code: def GraphFn(self, inp, inp1):
      x1 = math_ops.matmul(inp, inp1, name="matmul")
      # Relu to reach minimum segment size.
      x1 = nn.relu(x1, name="relu")
      return array_ops.identity(x1, name="output_0")
  
imports: import unittest
  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.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 1 for calling the BatchMatMulTwoTensorTest obj's underlying member method code with example usage: obj.GraphFn(inp, inp1) and returns: array_ops