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18-06-21 07:12:00 [ERROR] src.evaluation.evaluator: An exception occurred while training Recurrent EBM on Synthetic Variance Outliers: Failed to create session.
2018-06-21 07:12:00 [ERROR] src.evaluation.evaluator: Traceback (most recent call last):
File "/repo/src/evaluation/evaluator.py", line 71, in evaluate
det.fit(X_train, y_train)
File "/repo/src/algorithms/rnn_ebm.py", line 43, in fit
self.tf_session = tf.Session()
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1560, in __init__
super(Session, self).__init__(target, graph, config=config)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 633, in __init__
self._session = tf_session.TF_NewSession(self._graph._c_graph, opts)
tensorflow.python.framework.errors_impl.InternalError: Failed to create session.
The text was updated successfully, but these errors were encountered:
WGierke
changed the title
tensorflow.python.framework.errors_impl.InternalError: Failed to create session.
Recurrent EBM: tensorflow.python.framework.errors_impl.InternalError: Failed to create session.
Jun 21, 2018
* adds second training set to train params of gaussian dist via spliting
* adds cuda support for all algorithms
* Run LSTMAD, Donut and DAGMM with NNAutoencoder on CUDA (#105)
* Ignore device placement on ReEBM as well
* Adapt LSTMED
* Sort detector execution by framework
* Closes#89#91#92#93#94#95#96
The text was updated successfully, but these errors were encountered: