code: def _BuildSmallPlaceholderlModel(self):
      a = array_ops.placeholder(dtypes.int32, [2, 2])
      b = array_ops.placeholder(dtypes.int32, [2, 2])
      y = math_ops.matmul(a, b)
      return a, b, y
  
file_path: tensorflow/tensorflow/python/profiler/tfprof_logger_test.py
imports: 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.platform import test
label_desc: Use image node_id 1 for calling the TFProfLoggerTest obj's underlying member method code with example usage: obj._BuildSmallPlaceholderlModel() and returns: a,  b,  y