Ubuntu 18.04 closing after start

[FilatovRA]

dragonfire TensorFlow detected: v1.0.0

Warning: Restoring parameters: globStep: 32000 watsonMode: False autoEncode: False corpus: cornell datasetTag: old maxLength: 10 filterVocab: 0 skipLines: False vocabularySize: 0 hiddenSize: 512 numLayers: 2 softmaxSamples: 0 initEmbeddings: False embeddingSize: 64 embeddingSource: None

Loading dataset from /usr/share/dragonfire/deepconv/model-pretrainedv2/dataset-cornell-old-length10-filter0-vocabSize0.pkl Loaded cornell: 34991 words, 139979 QA Model creation... W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations. W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. Initialize variables... WARNING: Restoring previous model from /usr/share/dragonfire/deepconv/model-pretrainedv2/model.ckpt

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Dragonfire: GOOD MORNING SIR

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2019-04-22 11:57:19,457 INFO sqlalchemy.engine.base.Engine SELECT CAST('test plain returns' AS VARCHAR(60)) AS anon_1 2019-04-22 11:57:19,458 INFO sqlalchemy.engine.base.Engine () 2019-04-22 11:57:19,459 INFO sqlalchemy.engine.base.Engine SELECT CAST('test unicode returns' AS VARCHAR(60)) AS anon_1 2019-04-22 11:57:19,459 INFO sqlalchemy.engine.base.Engine () 2019-04-22 11:57:19,460 INFO sqlalchemy.engine.base.Engine PRAGMA table_info("users") 2019-04-22 11:57:19,460 INFO sqlalchemy.engine.base.Engine () 2019-04-22 11:57:19,461 INFO sqlalchemy.engine.base.Engine PRAGMA table_info("facts") 2019-04-22 11:57:19,461 INFO sqlalchemy.engine.base.Engine () 2019-04-22 11:57:19,461 INFO sqlalchemy.engine.base.Engine PRAGMA table_info("notifications") 2019-04-22 11:57:19,461 INFO sqlalchemy.engine.base.Engine () 2019-04-22 11:57:19,462 INFO sqlalchemy.engine.base.Engine PRAGMA table_info("notepad") 2019-04-22 11:57:19,462 INFO sqlalchemy.engine.base.Engine () Недопустимая инструкция (стек памяти сброшен на диск)

In english last line means: "bad instruction"

[FilatovRA]

Using latest release https://github.com/DragonComputer/Dragonfire/releases/tag/v1.0.2

[FilatovRA]

Same issue I found in comment from vladislavyuzbekov here https://github.com/DragonComputer/Dragonfire/issues/110

[mertyildiran]

@FilatovRA could you provide me the original error message in English? Seems like an issue related to sqlalchemy but I'm not sure what's the reason.

[FilatovRA]

@FilatovRA could you provide me the original error message in English? Seems like an issue related to sqlalchemy but I'm not sure what's the reason.

Hello, now I got new error: $ dragonfire TensorFlow detected: v1.0.0

Warning: Restoring parameters: globStep: 32000 watsonMode: False autoEncode: False corpus: cornell datasetTag: old maxLength: 10 filterVocab: 0 skipLines: False vocabularySize: 0 hiddenSize: 512 numLayers: 2 softmaxSamples: 0 initEmbeddings: False embeddingSize: 64 embeddingSource: None

Loading dataset from /usr/share/dragonfire/deepconv/model-pretrainedv2/dataset-cornell-old-length10-filter0-vocabSize0.pkl Loaded cornell: 34991 words, 139979 QA Model creation... W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations. W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. Initialize variables... WARNING: Restoring previous model from /usr/share/dragonfire/deepconv/model-pretrainedv2/model.ckpt Traceback (most recent call last): File "/usr/bin/dragonfire", line 11, in load_entry_point('dragonfire==1.0.2', 'console_scripts', 'dragonfire')() File "/usr/lib/python3/dist-packages/dragonfire/init.py", line 732, in initiate stray_proc.start() File "/usr/lib/python3.6/multiprocessing/process.py", line 105, in start self._popen = self._Popen(self) File "/usr/lib/python3.6/multiprocessing/context.py", line 223, in _Popen return _default_context.get_context().Process._Popen(process_obj) File "/usr/lib/python3.6/multiprocessing/context.py", line 277, in _Popen return Popen(process_obj) File "/usr/lib/python3.6/multiprocessing/popen_fork.py", line 19, in init self._launch(process_obj) File "/usr/lib/python3.6/multiprocessing/popen_fork.py", line 66, in _launch self.pid = os.fork() OSError: [Errno 12] Cannot allocate memory

I don't know why.

[mertyildiran]

@FilatovRA you are most probably out-of-memory. Check out this SO answer.

[FilatovRA]

I also tryed docker. And get an error: sudo docker run dragonfire

Unable to find image 'dragonfire:latest' locally docker: Error response from daemon: pull access denied for dragonfire, repository does not exist or may require 'docker login'. See 'docker run --help'.

[FilatovRA]

`Dragonfire: GOOD NIGHT SIR

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2019-05-10 22:24:56,634 INFO sqlalchemy.engine.base.Engine SELECT CAST('test plain returns' AS VARCHAR(60)) AS anon_1 2019-05-10 22:24:56,634 INFO sqlalchemy.engine.base.Engine () 2019-05-10 22:24:56,636 INFO sqlalchemy.engine.base.Engine SELECT CAST('test unicode returns' AS VARCHAR(60)) AS anon_1 2019-05-10 22:24:56,636 INFO sqlalchemy.engine.base.Engine () 2019-05-10 22:24:56,637 INFO sqlalchemy.engine.base.Engine PRAGMA table_info("users") 2019-05-10 22:24:56,637 INFO sqlalchemy.engine.base.Engine () 2019-05-10 22:24:56,638 INFO sqlalchemy.engine.base.Engine PRAGMA table_info("facts") 2019-05-10 22:24:56,639 INFO sqlalchemy.engine.base.Engine () 2019-05-10 22:24:56,639 INFO sqlalchemy.engine.base.Engine PRAGMA table_info("notifications") 2019-05-10 22:24:56,639 INFO sqlalchemy.engine.base.Engine () 2019-05-10 22:24:56,639 INFO sqlalchemy.engine.base.Engine PRAGMA table_info("notepad") 2019-05-10 22:24:56,639 INFO sqlalchemy.engine.base.Engine () Illegal instruction (core dumped) `

[FilatovRA]

The solution I found by Google is to downgrade Tensorflow. I'll try it/

[FilatovRA]

ERROR: dragonfire 1.0.2 has requirement tensorflow==1.0.0, but you'll have tensorflow 1.5.0 which is incompatible.

[FilatovRA]

I am pretty shure the problem is in my old PC: python -c "import tensorflow as tf; tf.enable_eager_execution(); print(tf.reduce_sum(tf.random_normal([1000, 1000])))" 2019-05-11 12:38:05.020708: F tensorflow/core/platform/cpu_feature_guard.cc:37] The TensorFlow library was compiled to use SSE4.2 instructions, but these aren't available on your machine. Aborted (core dumped)

[mertyildiran]

@FilatovRA I don't understand what's the issue right now. You've posted a lot of different outputs that come from different TensorFlow versions. Yes, Dragonfire depends on TensorFlow version 1.0.0.

Dockerfile is outdated, so I don't recommend to use that.

[luntik2012]

could somebody update it please? cannot use this on archlinux...