I'm trying to run a tensorflow code in v2.0 and I'mg getting the following error
AttributeError: module 'tensorflow' has no attribute 'logging'
I don't want to simply remove it from the code.
why this code has been removed?
why should I do instead?
tf.logging was for Logging and Summary Operations and in TF 2.0 it has been removed in favor of the open-source absl-py, and to make the main tf.* namespace has functions that will be used more often.
In TF.2 lesser used functions are gone or moved into sub-packages like tf.math
So instead of tf.logging you could:
tf_upgrade_v2 will upgrade script and changes tf.logging to tf.compat.v1.logging
Python logging module can be used instead
Import absl-py library
If you are using someone else's code it's better to install same Tensorflow version as the author used, or downgrade your Tensorflow version. You may wanna try this:
pip install tensorflow==1.15.0
Or if you have gpu:
pip install tensorflow-gpu==1.15.0
You may still get depricated warnings, however you don't need to modify several files replacing tf with tf.compat.v1
Related
I am getting the following error with plotnine==0.9 and matplotlib==3.6.
File "D:\Python\Python310\lib\site-packages\plotnine\stats\stat_density_2d.py", line 3, in <module>
import matplotlib._contour as _contour
ModuleNotFoundError: No module named 'matplotlib._contour'
If I downgrade matplotlib==3.5, the problem goes away.
It's discussed here and it's already fixed here Note that it's already merged to main.
It was due to a internal matplotlib call that is no longer supported and has been replaced.
So I guess you could choose between:
downgrade to mlp 3.5.3
install plotnine#main
till the next plotnine release.
Carlos's answer is correct. However if anybody else, like me, is uncertain of how to install plotnine#main, you can implement the fix rather easily:
Find the site_packages folder you python script uses. It usually is a subdirectory of the python version you are using, which can located reliably by trying to reinstall matplotlib or any other package you know you have access to, and checking the logs in the console. ex using python -m pip install matplotlib.
Go down into the site_packages/plotnine/stats directory and open up the stats_density_2d.py file in your editor of choice.
Apply & save the modifications made in the fix. Alternatively, overwrite the file with the one from the github.
ModuleNotFoundError: No module named 'matplotlib._contour'
Issues with matplotlib 3.6.1 and
plotnine 0.9.0
K.I.S.S.
in terminal:
pip show matplotlib #enables you to check version
pip install matplotlib==3.5 #revert and problem is resolved for now.
no more:
ModuleNotFoundError: No module named 'matplotlib._contour'
resolves issue for now that will stop progress...
I came across this error "No module named datagen" even though I imported datagen using !pip install datagen.
Here is my code:
code
Here are the errors:errors
Any ideas why this is happening? Please help.
It's because PIP failed to install datagen (source: tried it myself)
It's better to separate !pip install .. statments from your python code, collect those to the separate cell or each into its own cell. This way you'll have better overview of installation status and errors.
I am trying to save a model with tensorflow-agents. First I define the following:
collect_policy = tf_agent.collect_policy
saver = PolicySaver(collect_policy, batch_size=None)
and then save the model like this:
saver.save('my_directory/')
This works ok in google colab but I am getting the following error in my local PC.
AttributeError: module 'tensorflow.python.saved_model.nested_structure_coder' has no attribute 'StructureCoder'
These are the library versions I am using:
tensorflow 2.9.1
tf-agents 0.11.0
Tl;dr
Make sure you have the right tensorflow-probability version that is compatible for 2.9.x and tf-agents 0.11.0
pip uninstall tensorflow-probability
pip install tensorflow-probability==0.17.0
(0.19.0 for TF 2.11, 0.18.0 for TF 2.10 or look at the release notes)
Also make sure to restart your kernel from the notebook.
What the problem was
StructureCoder has been moved to tensorflow API. Therefore, other dependent libraries have made changes like this in tf-agent and like this in tensorflow-probability. Your machine is somehow picking up an older version that depends on the previous version of nested_structure_coder.
For me, I was using
tensorflow 2.9.0
tf-agents 0.13.0
tensorflow-probabilities 0.17.0
Try making an explicit import in your notebook:
import tensorflow_probability
print(tensorflow_probability.__version__) # was 0.17.0 for me
I'm trying to build a visual dashboard in VS Code using dash. But I can't get past this error I'm getting:
Original error was: DLL load failed: The specified module could not be
found. File "C:\Users\ko14Z57\plots.py", line 1, in
import pandas as pd
Exception has occurred: ImportError Unable to import required
dependencies: numpy:
I'm using python 3.6.13 but I've tried this with python 3.9 and 3.8. I also tried installing\uninstalling numpy and pandas. I'm using Anaconda for my package management. Any help would be really appreciated!
in vscode from view>command palette write 'select your default profile' the select 'Command Prompt' or 'cmd.exe'
Assuming that Bas may be right, and you're missing the Microsoft C++ compiler. Try installing Microsoft's "C/C++ Extension Pack": https://marketplace.visualstudio.com/items?itemName=ms-vscode.cpptools-extension-pack . You can find it in VSCode by clicking the extensions icon at the left side and searching "cpptools".
Since I'm using conda, I updated conda and then updated all of my packages and that worked.
conda update conda
conda update --all
Note: I'm on Python 3.9 on a Windows machine.
Probably unnecessary, but I also added the interpreter path to my launch.json file:
"python": "C:\\Users\\<username>\\Anaconda3\\python.exe"
Below are the mentioned error while importing pandas library in Power BI in python script.
Details: "ADO.NET: Python script error.
C:\USERS\YADAVP\ANACONDA3\lib\site-packages\numpy\__init__.py:140: UserWarning: mkl-service package failed to import, therefore Intel(R) MKL initialization ensuring its correct out-of-the box operation under condition when Gnu OpenMP had already been loaded by Python process is not assured. Please install mkl-service package, see http://github.com/IntelPython/mkl-service
from . import _distributor_init
Traceback (most recent call last):
File "PythonScriptWrapper.PY", line 2, in <module>
import os, pandas, matplotlib
File "C:\USERS\YADAVP\ANACONDA3\lib\site-packages\pandas\__init__.py", line 17, in <module>
"Unable to import required dependencies:\n" + "\n".join(missing_dependencies)
ImportError: Unable to import required dependencies:
numpy:
IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!
Importing the numpy c-extensions failed.
- Try uninstalling and reinstalling numpy.
- If you have already done that, then:
1. Check that you expected to use Python3.7 from "C:\USERS\YADAVP\ANACONDA3\python.exe",
and that you have no directories in your PATH or PYTHONPATH that can
interfere with the Python and numpy version "1.18.1" you're trying to use.
2. If (1) looks fine, you can open a new issue at
https://github.com/numpy/numpy/issues. Please include details on:
- how you installed Python
- how you installed numpy
- your operating system
- whether or not you have multiple versions of Python installed
- if you built from source, your compiler versions and ideally a build log
- If you're working with a numpy git repository, try `git clean -xdf`
(removes all files not under version control) and rebuild numpy.
Note: this error has many possible causes, so please don't comment on
an existing issue about this - open a new one instead.
Original error was: DLL load failed: The specified module could not be found.
What is the resolution to sort this kind of error in Power BI?
Forget Anaconda and use WinPython.
I tried Anaconda for days with all the workarounds available in StackOverflow and other forums, and they took me nowhere.
Then I tried WinPython, and it worked immediately. Of course, you will need to change the PowerBI options accordingly.
To install WinPython: https://github.com/winpython/winpython
To change the detected Python home directory: https://learn.microsoft.com/en-us/power-bi/connect-data/desktop-python-scripts#enable-python-scripting
If you consider my answer, you won't need to downgrade Python, PBI, or anything else.
I had the same error. Unfortunately, PowerBI wont work with Jupyter Notebook Python.
So you have to install a "normal" Python: https://www.python.org/downloads/
And configure the Python you want to use in PowerBI and install your needed Python libraries via pip
Edit: Please use Python 3.8 because 3.9 doesnt support NumPy for now