callbacks.TensorBoard を使用すると、マルチ出力 Keras モデルでこのエラーが発生する原因がわかりません。
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])
エラー
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"]()]]
「形状 [-1] は負の寸法を持っています」とはどういう意味ですか? また、callbacks.Tensorboard を使用して各出力を試してみましたが、エラーは発生しませんでした。「Node: output_power_sample_weights」でも検索しますが、結果はありません。
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