how to set up cudf for cuda 9.0 - python

I have Cuda 9.0 version and
I have tried
pip install cudf==0.6.1
ERROR: Could not find a version that satisfies the requirement cudf==0.6.1 (from versions: none)
ERROR: No matching distribution found for cudf==0.6.1

Did you check the documentation?
https://github.com/rapidsai/cudf/blob/master/README.md
You should use conda to install it.

cudf 0.6.1 provides 2 wheels, Python 3.6 and Python 3.7, both for 64-bit Linux. No source code.
Source code and installation instructions are at https://github.com/rapidsai/cudf#installation. You can try to install using conda or compile from sources.

Related

ERROR: Could not find a version that satisfies the requirement tensorflow-directml

I tried to install:
pip install tensorflow-directml
from directml on my Windows 10. I have an intel GUP and I was hoping I could use it. But I got the error:
ERROR: Could not find a version that satisfies the requirement tensorflow-directml (from versions: none)
ERROR: No matching distribution found for tensorflow-directml
Did I miss something?
EDIT:
I'm using python 3.8
Seems that the library supports Python 3.5, 3.6 and 3.7. Python3.8 is not supported at the moment (1). Is your pip installation connected to any of those versions? Try using pip --version to confirm to which Python version it is connected. In case that it shows a Python 2 version, try using pip3 install tensorflow-directml.

Tensorflow not getting installed with pip

I keep getting errors like;
ERROR: Could not find a version that satisfies the requirement tensorflow (from
versions: none)
ERROR: No matching distribution found for tensorflow
ERROR: Could not find a version that satisfies the requirement tensorflow==2.0.0
(from versions: none)
ERROR: No matching distribution found for tensorflow==2.0.0
ERROR: Could not find a version that satisfies the requirement tensorflow==2.2.0
rc4 (from versions: none)
ERROR: No matching distribution found for tensorflow==2.2.0rc4
I have tried searching for a solution since 4 to 5 hours. I am trying to install it in a virtualenv file.
This has never happened before.
What am I doing wrong?
Pip version: 20.2.3
Pip3 version: 20.2.3
Python version: Python 3.7
Windows: 8.1 64 bit
Tensorflow version I want to install: 2.x+
According to the PIP tensorflow file listing it should work. Are you are sure you are using a 64-bit python interpreter? If your python interpreter is 32 bit for some reason, it's going to need a 32 bit package.
The packages are not built for Windows 32 bit.
If this is your problem, you should install a 64 bit version of the Python interpreter.
Please verify that your python installation is 64 bit by using the following script:
import platform
platform.architecture()[0]
the script should return '64bit'. if not, install the correct version.
Also, if you wish to use tensorflow 2.2 and above, upgrade to python 3.8 or higher.
TensorFlow is compiled with recent processor. I had problems with this and I had to verify the processor flags (and recompile myself, pff).
Windows 8.1 is surely obsolete

Could not find a version that satisfies the requirement tensorflow (from versions:) No matching distribution found for tensorflow

While installing TensorFlow for my pc the following error appeared
Could not find a version that satisfies the requirement TensorFlow
(from versions:) No matching distribution found for TensorFlow
I have a 64-bit Widows operating system.
And Python 3.7.0 64-bit. I already updated my pip from version 10.0 to 18.0 still error remains the same.
Try with Python 3.6
From tensorflow, It doesn't show support for Python 3.7 yet. So maybe that's the issue. Although Python 3.7 has been released there are some Issues regarding the import because of the async variable, And even this thread shows the same solution. Is python 3.7.x supported with Tensorflow. So suggest you downgrade to Python 3.6 (64bit) and try again.
Refer the link for TensorFlow supported version for python
https://www.tensorflow.org/install/pip
upgrade pip to version 20
C:\>pip --version
pip 20.0.2 from c:\python37_64\lib\site-packages\pip (python 3.7)
then execute the following command
C:\>pip install https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow_cpu-2.1.0-cp37-cp37m-win_amd64.whl
or
C:\>pip install tensorflow
Then check for the packages installed
C:\>pip list
If you get this error:
ERROR: Could not find a version that satisfies the requirement tensorflow== (from versions: 0.12.1, ...)
ERROR: No matching distribution found for tensorflow==
Check your comment. If there is a space between '==' and TensorFlow version, you will get an error. Below you can see an example for installing Tensorflow 1.15.
Wrong one:
pip install tensorflow== 1.5
Correct one:
pip install tensorflow==1.15

tensorflow gpu fails to install

I'm using Python 3.7, and it seems every solution I searched is on Conda environment, which is, I don't use.
My computer spec is intel i7 with nvidia gtx1050, and when I used the command "pip3 install --upgrade tensorflow-gpu" in command line, it always fires this error.
C:\WINDOWS\system32>pip3 install --upgrade tensorflow-gpu
Collecting tensorflow-gpu
Could not find a version that satisfies the requirement tensorflow-gpu (from versions: )
No matching distribution found for tensorflow-gpu
Anyone can help? I have CUDA Toolkit 9.2 installed, and the latest cuDNN installed. I'm running Windows 10.
When I search “TensorFlow” in https://pypi.org/project/tensorflow/#files
I find the following information:
tensorflow-1.8.0-cp36-cp36m-win_amd64.whl Wheel cp36 Apr 28, 2018
Till 2018-07-09, only python(<=3.6) could find a version that satisfies the requirement tensorflow.
I think if you want to use TensorFlow, maybe you should lower you Python version.
I found a version that satisfies the requirement tensorflow.
And I write down the method in the another answer on this page.
2018-07-30
I found tensorflow-1.9 for Python3.7 (tensorflow‑1.9.0‑cp37‑cp37m‑win_amd64.whl)
https://www.lfd.uci.edu/~gohlke/pythonlibs/
https://www.lfd.uci.edu/~gohlke/pythonlibs/#tensorflow
You would find this on the website:
TensorFlow, computation using data flow graphs for scalable machine learning.
Requires numpy+mkl and protobuf. The CUDA builds require CUDA 9.2 and CUDNN 9.2.
tensorflow‑1.9.0‑cp36‑cp36m‑win_amd64.whl
tensorflow‑1.9.0‑cp37‑cp37m‑win_amd64.whl
other version of TensorFlow.whl
https://github.com/fo40225/tensorflow-windows-wheel
Tensorflow is support only on Python 3.5.X versions. Try installing on any of these versions. This should fix the problem.
Just as a heads up, Tensorflow GPU WONT WORK with CUDA toolkit v9.2, you need to download and install v9.0. It's available by clicking 'legacy downloads' on the Cuda download page. TF looks for a specific file (cudart64_90.dll) that is from 9.0 and won't accept the equivalent version of the library (cudart64_92.dll) from the latest 9.2 version. The good news is that you DO NOT have to uninstall v9.2 of the toolkit, the Nvidia installer will just add a separate v9.0 folder in the Nvidia Cuda directory right next to the v9.2 folder you already have. I hope this helps.

SciPy can't install old version Windows 10

I'm trying to install an older version of SciPy (either 0.16.1 or 0.17.0), but when I try to use pip I get the result:
pip install scipy==0.16.1
I get the following message
Failed building wheel for scipy
So I found the .whl file here https://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy but the problem is that the version here is 1.0.1, and I can't seem to find any older ones, even in the SciPy website (there are for linux and mac)
.
.
PS.
I need to use either of this versions because I'm trying to run Theano on a GPU, and the tutorial provided here http://deeplearning.net/software/theano/install_windows.html says this version is a requirement if there is any tutorial that is better and more up-to-date I would be appreciated

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