Question

使用callbacks.TensorBoard时，我无法弄清楚多输出Keras模型导致此错误的原因。

tbCallBack = keras.callbacks.TensorBoard(log_dir = logdir, histogram_freq = 1, write_graph = 1, write_images = 0, write_grads = 1)
###No errror when not using callbacks
regr.fit(  Ax_train, [Ay_train_p, Ay_train_s], validation_data= (Ax_test, [Ay_test_p, Ay_test_s]), epochs = 500, batch_size = 10, verbose = 1)
###No errror when not using validation_data
regr.fit(  Ax_train, [Ay_train_p, Ay_train_s], epochs = 500, batch_size = 10, verbose = 1, callbacks=[tbCallBack])
###Error Occurred
regr.fit( Ax_train, [Ay_train_p, Ay_train_s], validation_data= (Ax_test, [Ay_test_p, Ay_test_s]), epochs = 500, batch_size = 10, verbose = 1, callbacks=[tbCallBack])

错误

Epoch 1/500
1280/1663 [======================>.......] - ETA: 0s - loss: 1.6230 - output_power_loss: 0.9627 - output_slack_loss: 0.66032017-07-11 03:17:27.964542: W tensorflow/core/framework/op_kernel.cc:1148] Invalid argument: Shape [-1] has negative dimensions
2017-07-11 03:17:27.964589: E tensorflow/core/common_runtime/executor.cc:644] Executor failed to create kernel. Invalid argument: Shape [-1] has negative dimensions
     [[Node: output_slack_sample_weights = Placeholder[dtype=DT_FLOAT, shape=[?], _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
2017-07-11 03:17:27.970690: W tensorflow/core/framework/op_kernel.cc:1148] Invalid argument: Shape [-1] has negative dimensions
2017-07-11 03:17:27.970735: E tensorflow/core/common_runtime/executor.cc:644] Executor failed to create kernel. Invalid argument: Shape [-1] has negative dimensions
     [[Node: output_power_sample_weights = Placeholder[dtype=DT_FLOAT, shape=[?], _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
2017-07-11 03:17:27.972004: W tensorflow/core/framework/op_kernel.cc:1148] Invalid argument: Shape [-1] has negative dimensions
2017-07-11 03:17:27.972026: E tensorflow/core/common_runtime/executor.cc:644] Executor failed to create kernel. Invalid argument: Shape [-1] has negative dimensions
     [[Node: output_power_sample_weights = Placeholder[dtype=DT_FLOAT, shape=[?], _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
Traceback (most recent call last):
  File "tf_keras.py", line 183, in <module>
    regr.fit( Ax_train, [Ay_train_p, Ay_train_s], validation_data= (Ax_test, [Ay_test_p, Ay_test_s]), epochs = 500, batch_size = 10, verbose = 1, callbacks=[tbCallBack])
  File "/home/roy/keras_tf/local/lib/python2.7/site-packages/keras/engine/training.py", line 1507, in fit
    initial_epoch=initial_epoch)
  File "/home/roy/keras_tf/local/lib/python2.7/site-packages/keras/engine/training.py", line 1176, in _fit_loop
    callbacks.on_epoch_end(epoch, epoch_logs)
  File "/home/roy/keras_tf/local/lib/python2.7/site-packages/keras/callbacks.py", line 77, in on_epoch_end
    callback.on_epoch_end(epoch, logs)
  File "/home/roy/keras_tf/local/lib/python2.7/site-packages/keras/callbacks.py", line 768, in on_epoch_end
    result = self.sess.run([self.merged], feed_dict=feed_dict)
  File "/home/roy/keras_tf/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 789, in run
    run_metadata_ptr)
  File "/home/roy/keras_tf/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 997, in _run
    feed_dict_string, options, run_metadata)
  File "/home/roy/keras_tf/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1132, in _do_run
    target_list, options, run_metadata)
  File "/home/roy/keras_tf/local/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1152, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Shape [-1] has negative dimensions
     [[Node: output_power_sample_weights = Placeholder[dtype=DT_FLOAT, shape=[?], _device="/job:localhost/replica:0/task:0/cpu:0"]()]]

Caused by op u'output_power_sample_weights', defined at:
  File "tf_keras.py", line 180, in <module>
    regr = nn_model()
  File "tf_keras.py", line 177, in nn_model
    model.compile(optimizer = 'adam', loss ={'output_power': 'mean_squared_error', 'output_slack': 'binary_crossentropy'})
  File "/home/roy/keras_tf/local/lib/python2.7/site-packages/keras/engine/training.py", line 870, in compile
    name=name + '_sample_weights'))
  File "/home/roy/keras_tf/local/lib/python2.7/site-packages/keras/backend/tensorflow_backend.py", line 431, in placeholder
    x = tf.placeholder(dtype, shape=shape, name=name)
  File "/home/roy/keras_tf/local/lib/python2.7/site-packages/tensorflow/python/ops/array_ops.py", line 1530, in placeholder
    return gen_array_ops._placeholder(dtype=dtype, shape=shape, name=name)
  File "/home/roy/keras_tf/local/lib/python2.7/site-packages/tensorflow/python/ops/gen_array_ops.py", line 1954, in _placeholder
    name=name)
  File "/home/roy/keras_tf/local/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
    op_def=op_def)
  File "/home/roy/keras_tf/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2506, in create_op
    original_op=self._default_original_op, op_def=op_def)
  File "/home/roy/keras_tf/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1269, in __init__
    self._traceback = _extract_stack()

InvalidArgumentError (see above for traceback): Shape [-1] has negative dimensions
     [[Node: output_power_sample_weights = Placeholder[dtype=DT_FLOAT, shape=[?], _device="/job:localhost/replica:0/task:0/cpu:0"]()]]

＆＃34;形状[-1]具有负尺寸＆＃34;手段？我还尝试使用callbacks.Tensorboard进行每个输出，并且没有发生任何错误。同时使用＆＃34; Node：output_power_sample_weights＆＃34;进行搜索但没有结果。

regr.summary（）

____________________________________________________________________________________________________
Layer (type)                     Output Shape          Param #     Connected to                     
====================================================================================================
main_input (InputLayer)          (None, 5)             0                                            
____________________________________________________________________________________________________
Hidden (Dense)                   (None, 5)             30          main_input[0][0]                 
____________________________________________________________________________________________________
output_power (Dense)             (None, 1)             6           Hidden[0][0]                     
____________________________________________________________________________________________________
output_slack (Dense)             (None, 1)             6           Hidden[0][0]                     
====================================================================================================
Total params: 42
Trainable params: 42
Non-trainable params: 0

Answer 1

“形状[-1]具有负尺寸”错误消息是在您不提供具有部分定义形状的tf.placeholder()时打印的（误导性）错误。此错误消息已在TensorFlow的夜间版本中替换为更具信息性的消息。

错误和堆栈跟踪表明此console.log(apple === appleAmount[`amount${number}`]); // If your version supports interpolation console.log(apple === appleAmount['amount' + number]);调用失败（source）：

Session.run()

查看the implementation，似乎仅在安装TensorBoard回调时调用，self.validation_data is not None。从实现来看，这个回调看起来与依赖于非one of（i）File "/home/roy/keras_tf/local/lib/python2.7/site-packages/keras/callbacks.py", line 768, in on_epoch_end result = self.sess.run([self.merged], feed_dict=feed_dict)，（ii）model.inputs或（iii）{{1}的占位符的模型不兼容}}。最好在Keras GitHub issue tracker上就此问题打开一个问题。

Keras回调Tensorboard多输出错误

1 个答案: