tensorflow_error_output

python Downloads/tensorflow_error_tutorial.py
WARNING:tensorflow:Change warning: default value of `enable_centered_bias` will change after 2016-10-09. It will be disabled by default.Instructions for keeping existing behaviour:
Explicitly set `enable_centered_bias` to 'True' if you want to keep existing behaviour.
INFO:tensorflow:Using config: {'task': 0, 'save_summary_steps': 100, 'keep_checkpoint_max': 5, '_is_chief': True, 'save_checkpoints_secs': 1, 'evaluation_master': '', 'tf_config': gpu_options {
  per_process_gpu_memory_fraction: 1
}
, 'master': '', 'keep_checkpoint_every_n_hours': 10000, '_job_name': None, 'cluster_spec': None, 'tf_random_seed': None, 'num_ps_replicas': 0}
INFO:tensorflow:Setting feature info to TensorSignature(dtype=tf.float32, shape=TensorShape([Dimension(None), Dimension(4)]), is_sparse=False)
INFO:tensorflow:Setting targets info to TensorSignature(dtype=tf.int64, shape=TensorShape([Dimension(None)]), is_sparse=False)
INFO:tensorflow:Transforming feature_column _RealValuedColumn(column_name='', dimension=4, default_value=None, dtype=tf.float32, normalizer=None)
INFO:tensorflow:Create CheckpointSaverHook
INFO:tensorflow:loss = 0.0283117, step = 6005
INFO:tensorflow:Saving checkpoints for 6005 into /tmp/iris_model/model.ckpt.
WARNING:tensorflow:Given features: Tensor("input:0", shape=(?, 4), dtype=float32), required signatures: TensorSignature(dtype=tf.float32, shape=TensorShape([Dimension(None), Dimension(4)]), is_sparse=False).
WARNING:tensorflow:Given targets: Tensor("output:0", shape=(?,), dtype=int64), required signatures: TensorSignature(dtype=tf.int64, shape=TensorShape([Dimension(None)]), is_sparse=False).
INFO:tensorflow:Transforming feature_column _RealValuedColumn(column_name='', dimension=4, default_value=None, dtype=tf.float32, normalizer=None)
WARNING:tensorflow:Please specify metrics using MetricSpec. Using bare functions or (key, fn) tuples is deprecated and support for it will be removed on Oct 1, 2016.
Traceback (most recent call last):
  File "Downloads/tensorflow_error_tutorial.py", line 51, in <module>
    monitors=[validation_monitor])
  File "/usr/local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/dnn.py", line 435, in fit
    max_steps=max_steps)
  File "/usr/local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 333, in fit
    max_steps=max_steps)
  File "/usr/local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 708, in _train_model
    max_steps=max_steps)
  File "/usr/local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/graph_actions.py", line 285, in _monitored_train
    None)
  File "/usr/local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitored_session.py", line 368, in run
    run_metadata=run_metadata)
  File "/usr/local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitored_session.py", line 521, in run
    run_metadata=run_metadata)
  File "/usr/local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitored_session.py", line 488, in run
    return self._sess.run(*args, **kwargs)
  File "/usr/local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitored_session.py", line 625, in run
    hook in outputs else None))
  File "/usr/local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py", line 1215, in after_run
    induce_stop = m.step_end(self._last_step, result)
  File "/usr/local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py", line 411, in step_end
    return self.every_n_step_end(step, output)
  File "/usr/local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/monitors.py", line 712, in every_n_step_end
    steps=self.eval_steps, metrics=self.metrics, name=self.name)
  File "/usr/local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/dnn.py", line 461, in evaluate
    steps=steps, metrics=metrics, name=name)
  File "/usr/local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 399, in evaluate
    name=name)
  File "/usr/local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 760, in _evaluate_model
    eval_dict = self._get_eval_ops(features, targets, metrics)
  File "/usr/local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 993, in _get_eval_ops
    result.update(_make_metrics_ops(metrics, features, targets, predictions))
  File "/usr/local/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 251, in _make_metrics_ops
    'Metrics: %s, Targets: %s.' % (metrics, targets))
ValueError: Metrics passed provide only name, no prediction, but predictions are dict. Metrics: {'recall': <function streaming_recall at 0x10d672668>, 'precision': <function streaming_precision at 0x10d672500>, 'accuracy': <tensorflow.contrib.learn.python.learn.metric_spec.MetricSpec object at 0x10ffdcbd0>}, Targets: Tensor("output:0", shape=(?,), dtype=int64).