import tensorflow as tf

          {'x': tf.compat.v1.placeholder(tf.int64, (None,))},
          feature_spec={'x': tf.io.FixedLenFeature([], tf.int64)}),
      dict(
          testcase_name='fixed_len_string',
          make_tensors_fn=lambda:
          {'x': tf.compat.v1.placeholder(tf.string, (None,))},
          feature_spec={'x': tf.io.FixedLenFeature([], tf.string)}),
      dict(
          testcase_name='fixed_len_float',
          make_tensors_fn=lambda:
          {'x': tf.compat.v1.placeholder(tf.float32, (None,))},
          feature_spec={'x': tf.io.FixedLenFeature([], tf.float32)}),
      dict(
          testcase_name='override',
          make_tensors_fn=_make_tensors_with_override,
          feature_spec={'x': tf.io.FixedLenFeature([], tf.int64)},
          domains={'x': schema_pb2.IntDomain(is_categorical=True)}),
      dict(
          testcase_name='override_with_session',
          make_tensors_fn=_make_tensors_with_override,
          feature_spec={'x': tf.io.FixedLenFeature([], tf.int64)},
          domains={
