Install odoo8.0 on Mac OSX 10.11,I got error "unsafe use of relative rpath libpq.5.dylib" - odoo

I have downloaded Odoo 8.0 from git ,all my steps:
python --version
Python 2.7.10
Installed PostgresApp into Applications and executed
export PATH=$PATH:/Applications/Postgres.app/Contents/Versions/latest/bin
Installed pip
sudo easy_install pip
Finished processing dependencies for pip
and installed homebrew and Xcode-select
Installed other libs
brew install autoconf automake libtool
brew install libxml2 libxslt libevent
Installed Python dependencies
`sudo easy_install -U setuptools
Finished processing dependencies for setuptools
cd odoo/
sudo pip install --user -r requirements.txt
Successfully installed Mako-1.0.1 Pillow-2.7.0 Werkzeug-0.9.6 `
Running odoo
export LC_ALL=en_US.UTF-8
export LANG=en_US.UTF-8
./odoo.py --addons-path=addons --db-filter=mydb
And i got this error:
Traceback (most recent call last):
File "./odoo.py", line 160, in <module>
main()
File "./odoo.py", line 156, in main
import openerp
File "/Users/Charlie/Desktop/Python_Workspace/odoo-8.0/openerp/__init__.py", line 76, in <module>
import modules
File "/Users/Charlie/Desktop/Python_Workspace/odoo-8.0/openerp/modules/__init__.py", line 27, in <module>
from . import db, graph, loading, migration, module, registry
File "/Users/Charlie/Desktop/Python_Workspace/odoo-8.0/openerp/modules/graph.py", line 32, in <module>
import openerp.osv as osv
File "/Users/Charlie/Desktop/Python_Workspace/odoo-8.0/openerp/osv/__init__.py", line 22, in <module>
import osv
File "/Users/Charlie/Desktop/Python_Workspace/odoo-8.0/openerp/osv/osv.py", line 23, in <module>
from .orm import Model, TransientModel, AbstractModel
File "/Users/Charlie/Desktop/Python_Workspace/odoo-8.0/openerp/osv/orm.py", line 5, in <module>
from ..models import (
File "/Users/Charlie/Desktop/Python_Workspace/odoo-8.0/openerp/models.py", line 56, in <module>
import psycopg2
File "/Library/Python/2.7/site-packages/psycopg2-2.6.2-py2.7-macosx-10.11-intel.egg/psycopg2/__init__.py", line 50, in <module>
from psycopg2._psycopg import BINARY, NUMBER, STRING, DATETIME, ROWID
ImportError: dlopen(/Library/Python/2.7/site-packages/psycopg2-2.6.2-py2.7-macosx-10.11-intel.egg/psycopg2/_psycopg.so, 2): Library not loaded: libpq.5.dylib
Referenced from: /Library/Python/2.7/site-packages/psycopg2-2.6.2-py2.7-macosx-10.11-intel.egg/psycopg2/_psycopg.so
Reason: unsafe use of relative rpath libpq.5.dylib in /Library/Python/2.7/site-packages/psycopg2-2.6.2-py2.7-macosx-10.11-intel.egg/psycopg2/_psycopg.so with restricted binary
I have worked on this about two days.Thanks a lot.

Related

How to install lxml in Macbook Pro M1 Chip device?

I have been trying to install odoo framework in my laptop. But due to incompatinilty not able to install lxml
File "/Users/ /Odoo/odoo-bin", line 5, in <module>
import odoo
File "/Users/ /Odoo/odoo/__init__.py", line 113, in <module>
from . import modules
File "/Users/ /Odoo/odoo/modules/__init__.py", line 8, in <module>
from . import db, graph, loading, migration, module, registry
File "/Users/ /Odoo/odoo/modules/graph.py", line 10, in <module>
import odoo.tools as tools
File "/Users/ /Odoo/odoo/tools/__init__.py", line 4, in <module>
from . import _monkeypatches
File "/Users/ /Odoo/odoo/tools/_monkeypatches.py", line 6, in <module>
from lxml import etree
ImportError: dlopen(/opt/homebrew/lib/python3.9/site-packages/lxml/etree.cpython-39-darwin.so, 0x0002): tried: '/opt/homebrew/lib/python3.9/site-packages/lxml/etree.cpython-39-darwin.so' (mach-o file, but is an incompatible architecture (have (x86_64), need (arm64e)))```
What method do you follow to install odoo? I think it is something that has to do with your python version as well.
However, you can build lxml from its source: https://github.com/lxml/lxml checkout to the following branch lxml-4.9.1 then
python3 setup.py bdist_wheel
cd dist/
sudo pip3 install lxml-4.9.1-cp310-cp310-macosx_12_0_arm64.whl

Getting import error while installing odoo 15

Traceback (most recent call last):
File "/opt/odoo151/odoo/odoo/service/server.py", line 1196, in load_server_wide_modules
odoo.modules.module.load_openerp_module(m)
File "/opt/odoo151/odoo/odoo/modules/module.py", line 396, in load_openerp_module
__import__('odoo.addons.' + module_name)
File "/opt/odoo151/odoo/odoo/addons/base/__init__.py", line 5, in <module>
from . import models
File "/opt/odoo151/odoo/odoo/addons/base/models/__init__.py", line 23, in <module>
from . import ir_mail_server
File "/opt/odoo151/odoo/odoo/addons/base/models/ir_mail_server.py", line 23, in <module>
from urllib3.contrib.pyopenssl import PyOpenSSLContext
File "/usr/lib/python3/dist-packages/urllib3/contrib/pyopenssl.py", line 62, in <module>
from ..packages import six
ImportError: cannot import name 'six'
I was getting above error while trying to install odoo 15
I have already tried this command for installing six package->
sudo apt-
get install python-six
..but getting same error again and again even after installing 'six' package.
Try to install six packages
pip3 install six
OR
pip install six
It would be helpful if you updated urllib3. After upgrading urllib, I was able to resolve this. Please try it once:
sudo pip3 install urllib3 --upgrade
Try following command:
sudo -H pip3 install firebase_admin pyOpenSSL
You can try the following commands from inside your odoo directoty.
sudo pip3 install -r requirements.txt

ImportError: cannot import name 'abs' from tensorflow.python.keras._impl.keras.backend

Current Version Stacks:
python 3.5
tensorflow 1.14.0
tensorflow-estimator 1.14.0
tensorflow-gpu 1.14.0
tensorflow-tensorboard 0.1.8
protobuf 3.9.1
Keras 2.2.4
Keras-Applications 1.0.7
Keras-Preprocessing 1.0.9
Drivers & Machine:
Ubuntu 16.04 , NVIDIA-SMI 396.54 , CUDA - 9.0 , CuDnn 7 , libcudnn - 7.4.1
Summary-
Not able to import abs from tensorflow.python.keras._impl.keras.backend on
tensorflow-gpu == 1.14.0
And Not able to get CheckpointableBase attribute on tensorflow-gpu == 1.8.0
Which tensorflow-gpu and keras version supports both CheckpointableBase attribute and 'abs' from tensorflow.python.keras._impl.keras.backend ?
Details -
I'm currently training matterport mask rcnn with Keras==2.2.4. According to some threads in order to get abs I have tried updating tensorflow-gpu to 1.8.0 , updating protobuf. Although I was then able to import abs, but end up reciveing " AttributeError: module 'tensorflow.python.training.checkpointable' has no attribute 'CheckpointableBase' " on tensorflow-gpu to 1.8.0. Then in order to get CheckpointableBase some threads pointed to again update tensorflow-gpu == 1.14.0.
Traceback :
Traceback (most recent call last):
File "/home/kalpit/Desktop/palash/m-rcnn-traning/data/libraries/bacteria_rcnn_train.py", line 53, in <module>
import keras
File "/usr/local/lib/python3.5/dist-packages/keras/__init__.py", line 3, in <module>
from . import utils
File "/usr/local/lib/python3.5/dist-packages/keras/utils/__init__.py", line 6, in <module>
from . import conv_utils
File "/usr/local/lib/python3.5/dist-packages/keras/utils/conv_utils.py", line 9, in <module>
from .. import backend as K
File "/usr/local/lib/python3.5/dist-packages/keras/backend/__init__.py", line 84, in <module>
from .tensorflow_backend import *
File "/usr/local/lib/python3.5/dist-packages/keras/backend/tensorflow_backend.py", line 5, in <module>
import tensorflow as tf
File "/usr/local/lib/python3.5/dist-packages/tensorflow/__init__.py", line 28, in <module>
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/__init__.py", line 83, in <module>
from tensorflow.python import keras
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/keras/__init__.py", line 26, in <module>
from tensorflow.python.keras import activations
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/keras/activations/__init__.py", line 22, in <module>
from tensorflow.python.keras._impl.keras.activations import elu
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/keras/_impl/keras/__init__.py", line 21, in <module>
from tensorflow.python.keras._impl.keras import activations
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/keras/_impl/keras/activations.py", line 23, in <module>
from tensorflow.python.keras._impl.keras import backend as K
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/keras/_impl/keras/backend.py", line 38, in <module>
from tensorflow.python.layers import base as tf_base_layers
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/layers/base.py", line 25, in <module>
from tensorflow.python.keras import backend
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/keras/backend/__init__.py", line 22, in <module>
from tensorflow.python.keras._impl.keras.backend import abs
ImportError: cannot import name 'abs'
Hi,
I was able to resolve this issue by removing all the tensorFlow and keras python3 packages from dist-packages dir itself , uninstalling using pip3 and then again installing tensorflow==1.8.0
tensorflow-gpu==1.8.0 , Keras==2.2.4
( The Potential reason which caused this specific erro was python referring multiple tensoflow-gpu,keras version packages files in dis-packages dir. Although installing a specific tensoflow-gpu,keras version via pip3 should ideally remove previous existing versions. But In my case that didn't occurred.)
Solution:
Locate tensorflow , keras packages in dist-packages dir using $ locate --basename '\tensorflow' command (provided you are using Ubuntu). In my case it is
$ locate --basename '\tensorflow'
outputs -
/usr/local/lib/python3.5/dist-packages/tensorflow
/usr/local/lib/python3.5/dist-packages/tensorflow/include/tensorflow
/usr/share/nginx/html/projects/python/machine-learning/objectDetection/models-master/research/syntaxnet/tensorflow
&
$ locate --basename '\keras'
outputs-
/usr/local/lib/python3.5/dist-packages/keras
/usr/local/lib/python3.5/dist-packages/tensorflow/keras
/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/keras
/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/keras/api/keras
/usr/local/lib/python3.5/dist-packages/tensorflow/python/keras
/usr/local/lib/python3.5/dist-packages/tensorflow/python/keras/_impl/keras
/usr/local/lib/python3.5/dist-packages/tensorflow/tools/api/generator/api/keras
/usr/share/nginx/html/projects/python/Playground/lambda/testkeras/keras
Now that you are aware of the desired packages location. Simply remove the tensorflow and keras dir's and uninstall packages using below commands
Removing dir's
sudo rm -R /usr/local/lib/python3.5/dist-packages/tensorflow/
sudo rm -R /usr/share/nginx/html/projects/python/machine-learning/objectDetection/models-master/research/syntaxnet/tensorflow
sudo rm -R /usr/local/lib/python3.5/dist-packages/keras/
sudo rm -R /usr/share/nginx/html/projects/python/Playground/lambda/testkeras/keras
Uninstall using pip3
sudo pip3 uninstall tensorflow
sudo pip3 uninstall tensorflow-gpu
sudo pip3 uninstall keras
Again Installing tensorflow, tensorflow-gpu ,keras
sudo pip3 install tensorflow==1.8.0
sudo pip3 install tensorflow-gpu==1.8.0
sudo pip3 install Keras==2.2.4

AttributeError: 'module' object has no attribute 'ceil'

I have installed the module onnx_tf from this link.
After that when I am verifying the installation as python -c "import onnx_tf" I am encountering the following error. How do I resolve it? Thank you
testuser#testuser:~$ python -c "import onnx_tf"
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/home/testuser/.local/lib/python2.7/site-packages/onnx_tf/__init__.py", line 1, in <module>
from . import frontend
File "/home/testuser/.local/lib/python2.7/site-packages/onnx_tf/frontend.py", line 18, in <module>
from onnx_tf.common.handler_helper import get_all_frontend_handlers
File "/home/testuser/.local/lib/python2.7/site-packages/onnx_tf/common/handler_helper.py", line 5, in <module>
from onnx_tf.handlers.backend import * # noqa
File "/home/testuser/.local/lib/python2.7/site-packages/onnx_tf/handlers/backend/ceil.py", line 10, in <module>
#tf_func(tf.ceil)
AttributeError: 'module' object has no attribute 'ceil'
Check your tensorflow version
pip show tensorflow
If it's 2.x, you may need to change to older version.
pip install tensorflow-gpu==1.14
or if you are using a cpu...
pip install tensorflow==1.14
The following resolved this issue for me:
pip uninstall onnx-tf
pip install git+https://github.com/onnx/onnx-tensorflow.git
pip install tensorflow-addons
(Using TensorFlow 2.3 and Python 3.8)

Upgrading Tensorflow to 1.3.0 and cuDNN

I upgraded my TensorFlow 1.0.1 with
$ pip install --upgrade tensorflow-gpu
on Ubuntu 16.04, cuDNN 5.1.5 and CUDA 8.0
However, there's error message when I import tensorflow in python module as below:
>> import tensorflow as tf
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python2.7/dist-packages/tensorflow/__init__.py", line 24, in <module>
from tensorflow.python import *
File "/usr/local/lib/python2.7/dist-
packages/tensorflow/python/__init__.py", line 49, in <module>
from tensorflow.python import pywrap_tensorflow
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 52, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 41, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>_pywrap_tensorflow_internal = swig_import_helper()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
ImportError: libcudnn.so.6: cannot open shared object file: No such file or directory
Failed to load the native TensorFlow runtime.
I think this is the problem with cuDNN version compatibility.
Anyone knows how to upgrade cuDNN and make compatible with tensorflow 1.3.0??
TensorFlow 1.3 requires cuDNN version 6. Follow the installation instructions for your platform on NVIDIA's cuDNN website. Once cuDNN 6 is installed successfully, your installation of TensorFlow 1.3 should start working.
I wrote a script which can be used to upgrade the cuDNN version with a clean install. You can download the script from:
https://github.com/dnzzcn/cuDNNv
This is what the script does:
#!/bin/bash
rm -f /usr/include/cudnn.h
rm -f /usr/lib/x86_64-linux-gnu/*libcudnn*
rm -f /usr/local/cuda-*/lib64/*libcudnn*
cp -P packages/cudnn/include/cudnn.h /usr/include
cp -P packages/cudnn/lib64/libcudnn* /usr/lib/x86_64-linux-gnu/
chmod a+r /usr/lib/x86_64-linux-gnu/libcudnn*
rm -rf packages/cudnn
It performs the installation operations automatically for the version you need.
If you have TensorFlow 1.3.0, which requires cuDNN v6.0, installing cuDNN v6.0 by using the script will be sufficient.