mkl_fft | based Python interface to Intel MKL FFT functionality | Video Utils library
kandi X-RAY | mkl_fft Summary
kandi X-RAY | mkl_fft Summary
mkl_fft started as a part of Intel (R) Distribution for Python* optimizations to NumPy, and is now being released as a stand-alone package. It can be installed into conda environment using.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Compute the Fourier Transform
- Convert a float128 array to a ndarray
- Try and raise a ValueError
- Validate the norm
- Convert number of worker threads to number
- Returns CPU count
- Get maximum number of threads
- Compute the Fourier transform of an array
- Compute the fftn
- Calculate the frequency difference between two axes
- Compute the inverse inverse of the inverse Fourier transform
- Compute the inverse of the fftn
- Compute the FFT of an array
- Determine the shape of an array
- Compute the two - dimensional inverse Fourier transform
- Return the size of x
- Compute the inverse Fourier transform
- Manage mkl extensions
- Compute the discrete Fourier Transform
- Compute the inverse Fourier Transform
mkl_fft Key Features
mkl_fft Examples and Code Snippets
Lines of Code : 3License : Permissive (BSD-3-Clause)
Copy conda install -c intel mkl_fft
python -m pip install --i https://pypi.anaconda.org/intel/simple -extra-index-url https://pypi.org/simple mkl_fft
python -m pip install --i https://pypi.anaconda.org/intel/simple -extra-index-url https://pypi Community Discussions
Trending Discussions on mkl_fft
QUESTION
I have created a Python 3.7 conda virtual environment and installed the following packages using this command:
conda install pytorch torchvision torchaudio cudatoolkit=11.3 matplotlib scipy opencv -c pytorch
They install fine, but then when I come to run my program I get the following error which suggests that a CUDA enabled device is not found:
...ANSWER
Answered 2022-Feb-18 at 14:52I beleive I had the following things wrong that prevented me from using Cuda. Despite having cuda installed the nvcc --version command indicated that Cuda was not installed and so what I did was add it to the path using this answer.
Despite doing that and deleting my original conda environment and using the conda install pytorch torchvision torchaudio cudatoolkit=11.3 matplotlib scipy opencv -c pytorch command again I still got False when evaluating torch.cuda.is_available().
I then used this command conda install pytorch torchvision torchaudio cudatoolkit=10.2 matplotlib scipy opencv -c pytorch changing cudatoolkit from verison 11.3 to version 10.2 and then it worked!
Now torch.cuda.is_available() evaluates to True
Unfortunately, Cuda version 10.2 was incompatible with my RTX 3060 gpu (and I'm assuming it is not compatible with all RTX 3000 cards). Cuda version 11.0 was giving me errors and Cuda version 11.3 only installs the CPU only versions for some reason. Cuda version 11.1 worked perfectly though!
This is the command I used to get it to work in the end:
pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html
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
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
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
QUESTION
Suddenly, I can't import pandas in python. I am using anaconda as package manager, but it seems that no matter how many times I uninstall and install pandas, I still get the same error:
...ANSWER
Answered 2022-Jan-24 at 04:57Yes, it appears to be loading pandas from a user-level installation. User-level installs can leak into Conda environments and lead to unpredictable behavior, such as what you are seeing.
There are two routes of action of which I know. You may want to try the second one first, which would confirm the cause. However, the first option is likely more manageable going forward, since once it's done, the issue should be resolved.
Option 1: Remove External Python(s)If you would like Conda to simply work as expected, then uninstall the user-level Python. Note that the one detected (Python 3.10) may not be the only one, so you may have to track down multiple copies. I'm not on Windows, so I can't suggest concrete steps for uninstallation.
However, you may be already using this user-level Python for other projects, so this option may not be practicable.
Option 2: Launch Python with Isolation FlagsThere are some pertinent flags that Python provides that has it ignore the various sources that can lead to leaking in other site-packages. Here are the three important ones:
QUESTION
I am trying to run the training of stylegan2-pytorch on a remote system. The remote system has gcc (9.3.0) installed on it. I'm using conda env that has the following installed (cudatoolkit=10.2, torch=1.5.0+, and ninja=1.8.2, gcc_linux-64=7.5.0). I encounter the following error:
...ANSWER
Answered 2021-Dec-12 at 16:12Just to share, not sure it will help you. However it shows that in standard conditions it is possible to use the conda gcc as described in the documentation instead of the system gcc.
QUESTION
Good day
I am getting an error while importing my environment:
...ANSWER
Answered 2021-Dec-03 at 09:22Build tags in you environment.yml are quite strict requirements to satisfy and most often not needed. In your case, changing the yml file to
QUESTION
I created a new environment and added it to jupyter like this:
...ANSWER
Answered 2021-Nov-22 at 07:31Going by the SO answer here the virtual environment named tf_plot needs to be activated first before import. i.e,
QUESTION
I have installed PySpark 3.1.2 along with OpenJDK-1.8 to connect with a docker instance of Cassandra 4.0.1. I followed the instructions as in https://towardsdatascience.com/installing-pyspark-with-java-8-on-ubuntu-18-04-6a9dea915b5b and successfully installed the required versions.
I'm using anaconda environment, after installation I noticed that my Python version got automatically downgraded to 3.5 which is not supported by Pyspark(even in all environments where I had different python versions earlier, it's now 3.5). I read that Pyspark needs python3.6+. I tried everything possible to upgrade the python version to 3.6+ but it's not happening. When I try conda upgrade python some upgrades and removals happen but python is still 3.5.
conda update python gives:
...ANSWER
Answered 2021-Nov-08 at 16:26I resolved the issue by manually installing pyspark and making a minor change in the environment variables.
After downloading the required version of spark, you need to configure environment variables. There are a few Spark home paths you need to add to the user profile as follows,
QUESTION
import matplotlib.pyplot as plt
plt.plot([1,2,3])
plt.show()
input("Press enter to continue...")
ANSWER
Answered 2021-Nov-03 at 13:32As of late, conda and matplotlib have been having issues.
You can try to downgrade freetype from 2.11.0 to 2.10.4 by doing conda install freetype=2.10.4
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install mkl_fft
You can use mkl_fft like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
