class_docstr: Testing conversion of BiasAdd MatMul in TF-TRT conversion.
class_docstr_tok: ["Testing","conversion","of","BiasAdd","MatMul","in","TF-TRT","conversion","."]
docstr: Returns the max_batch_size that the converter should use for tests.
docstr_tok: ["Returns","the","max_batch_size","that","the","converter","should","use","for","tests","."]
code: def GetMaxBatchSize(self, run_params):
      """Returns the max_batch_size that the converter should use for tests."""
      if run_params.dynamic_engine:
          return None
  
      return 4
  
file_path: tensorflow/tensorflow/python/compiler/tensorrt/test/biasadd_matmul_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.ops import array_ops
  from tensorflow.python.ops import gen_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 5 for calling the BiasaddMatMulTest obj's underlying member method code with example usage: obj.GetMaxBatchSize(run_params) and returns: int, None