threadpoolctl | Python helpers to limit the number of threads | Architecture library
kandi X-RAY | threadpoolctl Summary
kandi X-RAY | threadpoolctl Summary
Python helpers to limit the number of threads used in native libraries that handle their own internal threadpool (BLAS and OpenMP implementations)
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Top functions reviewed by kandi - BETA
- Check the limits .
- Print thread - pool information .
- Get the original num_threads for each user .
- Get information about threadpool .
- Get the core architecture .
- Get the version .
- Get the threading layer .
- Set the threadpool limits .
- Format docstring .
- Set the number of threads .
threadpoolctl Key Features
threadpoolctl Examples and Code Snippets
Lines of Code : 20License : Strong Copyleft (CC BY-SA 4.0)
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FROM openjdk:8
RUN apt-get update && apt-get install -y python3 python3-pip
RUN apt-get -y install python3-pydot python3-pydot-ng graphviz
RUN apt-get -y install python3-tk
RUN apt-get -y install zip unzip
RUN apt-get -y installpython is /opt/anaconda3/bin/python
python is /usr/local/bin/python
python is /usr/bin/python
def Exec_ShowImgGrid(ObjTensor, ch=1, size=(28,28), num=16):
#tensor: 128(pictures at the time ) * 784 (28*28)
Objdata= ObjTensor.detach().cpu().view(-1,ch,*size) #128 *1 *28*28
Objgrid= make_grid(Objdata[:num],nrow=4).permuteconda install --name tf_plates scikit-learn
conda install -c anaconda scikit-learn
!pip install -U "imbalanced-learn < 0.9"
$ pip download --only-binary=:all: --platform win_amd64 imbalanced_learn
[...]
Saved ./imbalanced_learn-0.9.0-py3-none-any.whl
Saved ./joblib-1.1.0-py2.py3-none-any.whl
Saved ./numpy-1.22.2-cp39-cp39-win_amd64.whl
Saved ./scikit_learn-1.0.package:
name: jive
version: "0.2.1"
source:
path: .
build:
script: python -m pip install --no-deps --ignore-installed .
requirements:
host:
- python
- pip
- setuptools
run:
- python
- numpy
- p$ mktmpenv -p python3.7
(tmp-bf2774e21725ffd2) $ echo "scipy==1.7.1
> scikit-learn==0.24.0" > requirements.txt
(tmp-bf2774e21725ffd2) $ pip install -r requirements.txt
Collecting scipy==1.7.1
Downloading scipy-1.7.1-cp37-cp37m-ma
ALTER EXTERNAL RESOURCE POOL [default] WITH (max_memory_percent=94, AFFINITY CPU = AUTO)
GO
ALTER RESOURCE GOVERNOR RECONFIGURE;
GO
Community Discussions
Trending Discussions on threadpoolctl
QUESTION
I trained a Kernel Density model, then dumped the model using joblib. I then made a function while calling the same .pkl file. It works fine on my local machine, but when I deploy it on a cloud machine and create a docker image out of the same I get one of the following errors:
...ANSWER
Answered 2022-Mar-31 at 23:19The scikit-learn library is a different version on your cloud machine.
Specifically, the sklearn.neighbors._dist_metrics was removed around version 1.0.2. Perhaps your docker container is not actually using your requirements.txt properly.
Here's an example of different versions:
This one doesn't throw an error
QUESTION
I am trying to build an app from a python file (Mac OS) using the py2app extension. I have a folder with the python file and the "setup.py" file.
- I first tested the app by running
python setup.py py2app -Ain the terminal and the dist and build folder are successfully created and the app works when launched. - Now when I try to build it non-locally by running the command
python setup.py py2appin the terminal, there are various "WARNING: ImportERROR" messages while building and finally aerror: [Errno 2] No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib'error.
How can I fix this? I've tried to delete anaconda fully as I don't use it but it seems to still want to run through it. Additionally, I have tried to run the build command using a virtual environment but I end up having even more import errors.
*I Left out a lot of the "skipping" and "warning" lines using "..." for space
ANSWER
Answered 2022-Mar-13 at 16:13The error error: [Errno 2] No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib' was caused by py2app trying to build the program bundle using a non-existent interpreter. This means that even if you try to uninstall a manager like Anaconda, it still has option logs somewhere on your mac.
The fix:
- Open the terminal and type the command
type -a python.
- You will see similar lines
QUESTION
I don't know what is wrong but suddenly KMeans from sklearn is not working anymore and I don't know what I am doing wrong. Has anyone encountered this problem yet or knows how I can fix it?
ANSWER
Answered 2022-Mar-06 at 18:35I started getting the same error recently. It might have had something to do with a macOS upgrade from Sierra to Catalina, but I found that it was having an issue calculating kMeans when n_clusters = 1. In the following code, I changed my range to be 2:10 instead of 1:10, and it started working.
QUESTION
Trying to (re)install Jupyter's nbextension via the following steps in terminal
- pip install jupyter_contrib_nbextensions
- jupyter contrib nbextension install --user
- install --user jupyter nbextension enable varInspector/main
Step 1 = runs and i am able to launch notebooks via "jupyter notebook" in terminal just fine.
Step 2 = fails with
...ANSWER
Answered 2022-Mar-01 at 17:47So in case anyone comes across similar for any reason with me encountering this probably due getting a new machine and IT doing their voodoo magic transferring my old stuff to this new machine.
Anyhow, there were a bunch of things I still needed to install after I got my new machine and i am not able to exactly pin point what caused issues from my question but in the end I was able to resolve. Follow me there below ...
Checking out my python.exe files I found 2 paths. First one added as environment variable
- C:\Users-----\AppData\Local\Programs\Python\Python310
- C:\Users----\AppData\Roaming\Python\Python310\
Second one not added. Adding roaming version to path variables did not solve the issue and gave additional errors instead:
Fatal error in launcher: Unable to create process using '"C:\Program Files\Python310\python.exe"
So
I uninstalled python (done that before didnt help doing just that alone)
Deleted all environment variables pointing to python (here is what environment variables are just in case - https://www.computerhope.com/issues/ch000549.htm)
Uninstalled python extension from VS code (https://marketplace.visualstudio.com/items?itemName=ms-python.python)
Deleted Python folders mentioned in the two paths above
Then reinstalled python (clicked add to path during installation)
Reinstalled VS code python extension
Everything works now.
Best of luck
QUESTION
Background
I am trying to plot an image noise using pytorch, however, when I reach to that point, the kernel dies. I am attempting the same code at Google Colab where I do get results
Result at Google Colab
Result at Jupyter
I do not think that it has something to do with the code itself, but I am posting the function to plot the grid:
...ANSWER
Answered 2022-Feb-28 at 22:25After a few days I was able to find the solution
Firstly, my code needed to be fixed to correctly call the params needed with the proper name
QUESTION
skitlear is installed, however whe I run import sklearn i get an error: ModuleNotFoundError: No module named 'sklearn'
please see bellow:
ANSWER
Answered 2022-Feb-18 at 12:59Go to anaconda cmd or miniconda cmd and put this
QUESTION
I have an Azure ML Workspace which comes by default with some pre-installed packages.
I tried to install
...ANSWER
Answered 2022-Feb-15 at 14:23scikit-learn 1.0.1 and up require Python >= 3.7; you use Python 3.6. You need to upgrade Python or downgrade imbalanced-learn. imbalanced-learn 0.8.1 allows Python 3.6 so
QUESTION
I want to download a UNIX python wheel into my windows PC, for later install it in a UNIX server with no access to the internet
I tried
...ANSWER
Answered 2022-Feb-09 at 12:20Use --platform ?
On my Ubuntu x86_64 :
QUESTION
I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:
...ANSWER
Answered 2022-Feb-07 at 09:19It happened the same to me last friday. I think it has something to do with Cuda instalation in Google Colab but I don't know exactly the reason
QUESTION
I have a local python project called jive that I would like to use in an another project. My current method of using jive in other projects is to activate the conda env for the project, then move to my jive directory and use python setup.py install. This works fine, and when I use conda list, I see everything installed in the env including jive, with a note that jive was installed using pip.
But what I really want is to do this with full conda. When I want to use jive in another project, I want to just put jive in that projects environment.yml.
So I did the following:
- write a simple
meta.yamlso I could use conda-build to buildjivelocally - build jive with
conda build . - I looked at the tarball that was produced and it does indeed contain the
jivesource as expected - In my other project, add jive to the dependencies in
environment.yml, and add 'local' to the list of channels. - create a conda env using that environment.yml.
When I activate the environment and use conda list, it lists all the dependencies including jive, as desired. But when I open python interpreter, I cannot import jive, it says there is no such package. (If use python setup.py install, I can import it.)
How can I fix the build/install so that this works?
Here is the meta.yaml, which lives in the jive project top level directory:
ANSWER
Answered 2022-Feb-05 at 04:16The immediate error is that the build is generating a Python 3.10 version, but when testing Conda doesn't recognize any constraint on the Python version, and creates a Python 3.9 environment.
I think the main issue is that python >=3.5 is only a valid constraint when doing noarch builds, which this is not. That is, once a package builds with a given Python version, the version must be constrained to exactly that version (up through minor). So, in this case, the package is built with Python 3.10, but it reports in its metadata that it is compatible with all versions of Python 3.5+, which simply isn't true because Conda Python packages install the modules into Python-version-specific site-packages (e.g., lib/python-3.10/site-packages/jive).
Typically, Python versions are controlled by either the --python argument given to conda-build or a matrix supplied by the conda_build_config.yaml file (see documentation on "Build variants").
Try adjusting the meta.yaml to something like
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Install threadpoolctl
For users, install the last published version from PyPI: pip install threadpoolctl
For contributors, install from the source repository in developer mode: pip install -r dev-requirements.txt flit install --symlink then you run the tests with pytest: pytest
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