code: def _toType(self, dtype):
      if dtype == np.float16:
          return dtypes.float16
      elif dtype == np.float32:
          return dtypes.float32
      elif dtype == np.float64:
          return dtypes.float64
      elif dtype == np.int32:
          return dtypes.int32
      elif dtype == np.int64:
          return dtypes.int64
      else:
          assert False, dtype
  
imports: import itertools
  import threading
  import numpy
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework.test_util import TensorFlowTestCase
  from tensorflow.python.ops import gen_training_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import variable_v1
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 1 for calling the TrainingOpsTest obj's underlying member method code with example usage: obj._toType(dtype) and returns: dtypes, dtypes, dtypes, dtypes, dtypes