def _predict_input_fn():
feature_map = parsing_ops.parse_example(
input_lib.limit_epochs(serialized_examples, num_epochs=1),
feature_spec)
features = linear_testing_utils.queue_parsed_features(feature_map)
features.pop('y')
return features, None
def _predict_input_fn():
feature_map = tf.compat.v1.io.parse_example(
tf.compat.v1.train.limit_epochs(serialized_examples,
num_epochs=1), feature_spec)
features = linear_testing_utils.queue_parsed_features(feature_map)
features.pop('y')
return features, None
def _train_input_fn():
feature_map = parsing_ops.parse_example(serialized_examples,
feature_spec)
features = linear_testing_utils.queue_parsed_features(feature_map)
labels = features.pop('y')
return features, labels
