I am following the Tensorflow image retraining tutorial located here.
When I try to run this command using bazel:
bazel-bin/tensorflow/examples/image_retraining/retrain --image_dir ~/flower_photos
I get the following error:
Traceback (most recent call last):
File "/home/j/tensorflow/bazel-bin/tensorflow/examples/image_retraining/retrain.runfiles/org_tensorflow/tensorflow/examples/image_retraining/retrain.py", line 108, in <module>
import tensorflow as tf
File "/home/j/tensorflow/bazel-bin/tensorflow/examples/image_retraining/retrain.runfiles/org_tensorflow/tensorflow/__init__.py", line 24, in <module>
from tensorflow.python import *
File "/home/j/tensorflow/bazel-bin/tensorflow/examples/image_retraining/retrain.runfiles/org_tensorflow/tensorflow/python/__init__.py", line 63, in <module>
from tensorflow.python.framework.framework_lib import *
File "/home/j/tensorflow/bazel-bin/tensorflow/examples/image_retraining/retrain.runfiles/org_tensorflow/tensorflow/python/framework/framework_lib.py", line 76, in <module>
from tensorflow.python.framework.ops import Graph
File "/home/j/tensorflow/bazel-bin/tensorflow/examples/image_retraining/retrain.runfiles/org_tensorflow/tensorflow/python/framework/ops.py", line 28, in <module>
from autograd import core as ag_core
ModuleNotFoundError: No module named 'autograd'
However, when I run it using the python command
python tensorflow/examples/image_retraining/retrain.py --image_dir ~/flower_photos
It runs correctly and does not generate this error.
I am running both of the above commands from the ~/tensorflow directory (the top of the git repo)
Environment:
Ubuntu 17.04
Python 3.6.1
Anaconda 4.4.0
Bazel 0.5.4
Tensorflow 1.3 (no GPU) (v1.3.0-rc2-20-g0787eee 1.3.0)
I solved this issue. The autograd dependency was not installed. This can be solved by running pip install autograd
You have to configure TensorFlow before compiling, so it set up all the dependencies: ./configure
Related
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
While I was importing tflearn I'm getting this error:-
import tflearn
Traceback (most recent call last):
File "", line 1, in
File "/Users/rohansethi/anaconda3/lib/python3.7/site-packages/tflearn/init.py", line 4, in
from . import config
File "/Users/rohansethi/anaconda3/lib/python3.7/site-packages/tflearn/config.py", line 5, in
from .variables import variable
File "/Users/rohansethi/anaconda3/lib/python3.7/site-packages/tflearn/variables.py", line 7, in
from tensorflow.contrib.framework.python.ops import add_arg_scope as contrib_add_arg_scope
ModuleNotFoundError: No module named 'tensorflow.contrib'
You need to use an older version of TensorFlow.
tensorflow.contrib
Was removed from tensorflow with versions >=1.14.
This is what you can do:
pip uninstall tensorflow
pip install tensorflow==1.14
To check if everything is working fine:
Start python in the console by typing python Then:
import tensorflow
tensorflow.__version__
It should show you 1.14.
Now you can run your program.
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
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)
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.