Comments (19)
Hi there, i just settled for mkl-fft
and it will then automatically just install the latest version...could not crack the issue. But when installed this did not cause any issues. So my advice would be not to specify the installation version.
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conda install -c intel mkl_fft
This may work for you as it did for me.
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I'm now running into this problem on Travis as well w/ mkl-fft
. Has anyone found a long-term resolution to it?
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@duplessisaa thank man. Workaround- I just basically had to manually copy the mkl_fft and mkl_random folders (along with their -info folders, mkl_fft-1.0.6-py3.6.egg-info and mkl_random-1.0.1-py3.6.egg-info) from the Anaconda environment that runs my app locally
C:\Users\carandangc\Anaconda3\envs\web_scraper\Lib\site-packages
then pasted the folders into the lib file where the requirements.txt loaded the files for my app
C:\Users\carandangc\Desktop\testscrape\lib
Voila...now I have it in my lib folder for the cloud environment. Funny...I built an app to automate workflow processes, and here I am doing manual labour, copying and pasting LOL.
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@duplessisaa thanks for sharing your solution. Unfortunately, it didn't work for me:
No matching distribution found for mkl-fft (from -r requirements.txt (line 52))
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It might be a typo. The repo states mkl_fft as the installation name.
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Thank you for pointing out this issue. You are right, I don't know why these MKL libraries were needed, I computed again the requirements and should be fixed now.
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Did this solve your issue ??
I've got exactly the same issue
Collecting mkl_fft==1.0.10 (from -r requirements.txt (line 44))
Could not find a version that satisfies the requirement mkl_fft==1.0.10 (from
-r requirements.txt (line 44)) (from versions: )
No matching distribution found for mkl_fft==1.0.10 (from -r requirements.txt (li
ne 44))
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Hello. I have the same problem, even after changing the filename in requirements.txt from mkl-fft to mkl_fft:
Collecting mkl_fft==1.0.6 (from -r requirements.txt (line 52)) Could not find a version that satisfies the requirement mkl_fft==1.0.6 (from -r requirements.txt (line 52)) (from versions: ) No matching distribution found for mkl_fft==1.0.6 (from -r requirements.txt (line 52))
Your help would be much appreciated.
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That sucks...sorry...FYI here is my Docker image pip install requirements, just so you can see how I called it...
$PIP_INSTALL \
numpy \
scipy \
pandas \
pvlib==0.6.0 \
cloudpickle \
pickleshare \
scikit-learn==0.20.0 \
python-dateutil==2.7.5 \
matplotlib \
PyMySQL==0.9.2 \
mkl-fft \
mkl-random \
windrose==1.6.5 \
Cython \
tables==3.4.4 \
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seems to be a Python version issue, as 3.7 is not yet supported.
according to this GitHub issue (IntelPython/mkl_fft#26) in the official repo,
Yes, only 2.7, 3.5, and 3.6 wheels are currently available it seems.
a request to add 3.7 wheels has been added in Feb 2019 (IntelPython/mkl_fft#34) but no action yet it seems..
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ERROR: Could not find a version that satisfies the requirement mkl-service==2.3.0 (from -r /tmp/build_92d7e5cf_/requirements.txt (line 36)) (from versions: none)
ERROR: No matching distribution found for mkl-service==2.3.0 (from -r /tmp/build_92d7e5cf_/requirements.txt (line 36))
Note: mkl-service 2.3.0 is already installed .
please help
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ERROR: Could not find a version that satisfies the requirement mkl-service==2.3.0 (from -r /tmp/build_92d7e5cf_/requirements.txt (line 36)) (from versions: none)
ERROR: No matching distribution found for mkl-service==2.3.0 (from -r /tmp/build_92d7e5cf_/requirements.txt (line 36))Note: mkl-service 2.3.0 is already installed .
please help
did you find the answer
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also getting the same error
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Getting the same error as well
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Entrei no requeriments.txt e tirei a versão do mkl-fft e rodou normalmente...
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Srsly, python is ridiculous with these dependencies. ffs
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Getting this error can anyone help !
ERROR: Could not find a version that satisfies the requirement mkl-fft==1.3.0 (from -r /tmp/build_6a08ebd4/requirements.txt (line 14)) (from versions: none)
ERROR: No matching distribution found for mkl-fft==1.3.0 (from -r /tmp/build_6a08ebd4/requirements.txt (line 14))
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