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hamelsmu / code_search

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Home Page:https://medium.com/@hamelhusain/semantic-code-search-3cd6d244a39c

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ModuleNotFoundError: No module named 'tensorflow'

celsofranssa opened this issue · comments

commented

Hello,
how are you?

I'm following notebook 2 using the hamelsmu/ml-cpu docker container. But I encounter the following error when trying to load the preprocessed data (in the "Read Text From File" part):

File "/opt/project/utils/seq2seq.py", line 2, in <module> import tensorflow as tf ModuleNotFoundError: No module named 'tensorflow'

Any suggestions for solution?

Thank you very much and congratulations for the excellent tutorial.

commented

This error means you need to install tensorflow

Use the hamelsmu/ml-gpu container instead. I do not think you should try to run this tutorial on a CPU, will take forever.

commented

Thanks for the answer.
I've changed to hamelsmu/ml-gpu container but I still have the erro traceback below:

Traceback (most recent call last):
  File "/opt/conda/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "/opt/conda/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "/opt/conda/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
  File "/opt/conda/lib/python3.6/imp.py", line 243, in load_module
    return load_dynamic(name, filename, file)
  File "/opt/conda/lib/python3.6/imp.py", line 343, in load_dynamic
    return _load(spec)
ImportError: libcuda.so.1: cannot open shared object file: No such file or directory

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/opt/project/App.py", line 5, in <module>
    from utils.seq2seq import build_seq2seq_model
  File "/opt/project/utils/seq2seq.py", line 2, in <module>
    import tensorflow as tf
  File "/opt/conda/lib/python3.6/site-packages/tensorflow/__init__.py", line 22, in <module>
    from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
  File "/opt/conda/lib/python3.6/site-packages/tensorflow/python/__init__.py", line 49, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "/opt/conda/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 74, in <module>
    raise ImportError(msg)
ImportError: Traceback (most recent call last):
  File "/opt/conda/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "/opt/conda/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "/opt/conda/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
  File "/opt/conda/lib/python3.6/imp.py", line 243, in load_module
    return load_dynamic(name, filename, file)
  File "/opt/conda/lib/python3.6/imp.py", line 343, in load_dynamic
    return _load(spec)
ImportError: libcuda.so.1: cannot open shared object file: No such file or directory


Failed to load the native TensorFlow runtime.

See https://www.tensorflow.org/install/install_sources#common_installation_problems

for some common reasons and solutions.  Include the entire stack trace
above this error message when asking for help.

Process finished with exit code 1

Any help will be welcome.
Thank you.

commented
commented

Yes, look:

celso@arch:~/Desktop$ nvcc --version

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2017 NVIDIA Corporation
Built on Fri_Nov__3_21:07:56_CDT_2017
Cuda compilation tools, release 9.1, V9.1.85


celso@arch:~/Desktop$ nvidia-smi

Sat Oct 13 14:46:19 2018       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 390.48                 Driver Version: 390.48                    |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce GT 640M     Off  | 00000000:01:00.0 N/A |                  N/A |
| N/A   70C    P0    N/A /  N/A |    418MiB /  1999MiB |     N/A      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|    0                    Not Supported                                       |
+-----------------------------------------------------------------------------+
commented

In addition to installing the current Nvidia drivers and the CUDA Toolkit you must install the NVIDIA Container Runtime for Docker.