import tensorflow.compat.v1 as tf
Error displayed in vscode
output in jupyter
Despite trying all the possible options, I am not able to fix this error.
I am trying to learn machine learning to create a simple sign language detection system. In my VSCode, the above image is displayed.
You need to follow the instructions mentioned in this link to install the tensorflow then open the VS code in the same virtual environment.
Please check these similar issues for your reference.
Related
Trying to import spacy into Google Colab but getting an error name '_C' is not defined. Is it problem with the torch somewhere inside?
torch version: 1.13.1
spacy version: 3.5.0
I've tried to upgrade spacy and cython, but it didn't work. What should I do?
As I said I've tried solutions from here, here and here
When I'm trying to downgrade numpy I'm getting a dependency error with scipy.
I've also tried to install torch 1.9.0 as in here but it also didn't work.
And I've tried to downgrade to spacy 3.4.3 which runs perfectly on my local machine -- didn't work.
UPD: just discovered that importing torch shows same error
UPD_2: this happened when I've uploaded my own notebook. When I open a new clear notebook -- everything works just fine.
I am trying to do an END-to-END project for BostonHousing on VS Code. I have installed the requirements already from requirements.txt and also chose the Python interpreter as that of my virtual environment version still the error pops like below for Jupyter notebook. The flask file is fine. Please guide me on what's wrong here.
enter link description here
you may got your answer here.check and read carefully.
Import "[module]" could not be resolvedPylance (reportMissingImports)
I have just installed the stable version of TensorFlow 2.0 (released on October 1st 2019) in PyCharm.
The problem is that the keras package is unavailable.
The actual error is :
"cannot import name 'keras' from tensorflow"
I have installed via pip install tensorflow==2.0.0 the CPU version, and then uninstalled the CPU version and installed the GPU version , via pip install tensorflow-gpu==2.0.0.
Neither of the above worked versions of TensorFlow were working properly(could not import keras or other packages via from tensorflow.package_X import Y).
If I revert TensorFlow to version 2.0.0.b1, keras is available as a package (PyCharm recognises it) and everything runs smoothly.
Is there a way to solve this problem? Am I making a mistake in the installation process?
UPDATE --- Importing from the Python Console works and allows the imports without any error.
For PyCharm Users
For those who use PyCharm. Install future (EAP) release 2019.3 EAP build 193.3793.14 from here. With that, you will be able to use autocomplete for the current stable release of TensorFlow (i.e. 2.0). I have tried it and it works :).
For other IDEs
For users with other IDEs, this will be resolved only after the stable version is released, which is anyways the case now. But this might take some more time for a fix. See the comment here. I assume it will be wise to wait and keep using version 2.0.0.b1. On the other hand avoid imports from tensorflow_core if you do not want to refactor your code in the future.
Note: for autocomplete to work use import statement as below
import tensorflow.keras as tk
# this does not work for autocomplete
# from tensorflow import keras as tk
The autocomplete works for TensorFlow 2.0.0 on CPU version, but the autocomplete does not work for the GPU version.
SOLVED --- See the answers to this problem below.
SOLUTION 1 (best solution)
Is the accepted answer provided above. It works on EAP version, I tested it on several machines with Windows.
SOLUTION 2
Although PyCharm does not recognise the modules, running the .py file works. I still do not know if this is a problem of TensorFlow or PyCharm, but this is the solution that I have found, many people have run into this problem.
SOLUTION 3
Import the modules from tensorflow_core instead of tensorflow
Example: from tensorflow_core.python.keras.preprocessing.image import ImageDataGenerator
However, as mentioned by #Nagabhushan S N in the comment below and above in the accepted answer:
On the other hand avoid imports from tensorflow_core if you do not
want to refactor your code in the future.
I am trying to test NVIDIA's Style GAN and am encountering an error when trying to run the pretrained_example.py file.
I get an import error from the line from tensorflow.python.ops import nccl_ops
ImportError: cannot import name 'nccl_ops'
I think I installed all the prerequisites properly and am using python 3.6. It could be a mac tensorflow issue possibly because it doesn't mention OSX on the github project. Any help would be appreciated. It might be a matter of installing a different version of tensorflow or something else, I'm not sure.
I updated tensorflow and it solved this issue
I want to use the interactive plots in jupyter, but when switching the backend to notebook, I get the warning:
Warning: Cannot change to a different GUI toolkit: notebook. Using qt5 instead.
This happens on Windows 10, Anaconda 1.8.7, jupyter 5.5.0, python 3.6.5 and matplotlib 2.2.2.
Minimal working example:
import matplotlib.pyplot as plt
%matplotlib notebook
Output:
Warning: Cannot change to a different GUI toolkit: notebook. Using qt5 instead.
I found some question here where the problem is the other way around, but could not find anyone having this problem yet.
In some cases, importing ipympl is mentioned as a solution, but this does not change anything in my case.
Any hints?
As ImportanceOfBeingErnest pointed out in the comments, my problem was related to the backend already being set when jupyter starts. However, as mentioned in this post, the backend needs to be set in the ipython_config.py, not the jupyter_notebook_config.py.
After restarting the notebook server, I can switch between backends as described here.
You must put %matplotlib widget in the very beginning of the Jupyterlab