bug in DataFeeder constructor

[zxcv551133]

tensorflow.contrib.learn.DNNRegressor.fit(x_train_dict , y_train,steps=1000) 를 호출할 때,
아래와 같은 exception이 발생됨

File "/home/star/yuce.ddxq.mobi/zhuge/management/commands/forecast_product_sale.py", line 148, in tflearn_dnn_train2
    regressor.fit(x_train_dict, y_train, steps=10000, batch_size=10)
  File "/usr/lib/python3.4/site-packages/tensorflow/python/util/deprecation.py", line 289, in new_func
    return func(*args, **kwargs)
  File "/usr/lib/python3.4/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 439, in fit
    SKCompat(self).fit(x, y, batch_size, steps, max_steps, monitors)
  File "/usr/lib/python3.4/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 1340, in fit
    epochs=None)
  File "/usr/lib/python3.4/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 137, in _get_input_fn
    epochs=epochs)
  File "/usr/lib/python3.4/site-packages/tensorflow/contrib/learn/python/learn/learn_io/data_feeder.py", line 152, in setup_train_data_feeder
    x, y, n_classes, batch_size, shuffle=shuffle, epochs=epochs)
  File "/usr/lib/python3.4/site-packages/tensorflow/contrib/learn/python/learn/learn_io/data_feeder.py", line 326, in __init__
    dict([(k, check_array(v, v.dtype)) for k, v in list(y.items())]) if x_is_dict else check_array(y, y.dtype)
AttributeError: 'numpy.ndarray' object has no attribute 'items'

문제를 일으키는 것은

 x_is_dict, y_is_dict = isinstance(x, dict), y is not None and isinstance(
        y, dict)
    if isinstance(y, list):
      y = np.array(y)

    self._x = dict([(k, check_array(v, v.dtype)) for k, v in list(x.items())
                   ]) if x_is_dict else check_array(x, x.dtype)
    self._y = None if y is None else \
      dict([(k, check_array(v, v.dtype)) for k, v in list(y.items())]) if x_is_dict else check_array(y, y.dtype)

이고,

dict([(k, check_array(v, v.dtype)) for k, v in list(y.items())]) if y_is_dict else check_array(y, y.dtype)

로 변경하면 가용은됩니다.