I recently installed python with the version 3.8.3 and upgraded pip to 20.1.1. According to enter link description here, conda install -c conda-forge tensorflow should work. However, I get this result
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: -
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:
Specifications:
- tensorflow -> python[version='3.5.*|3.6.*|>=3.5,<3.6.0a0|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|3.7.*']
Your python: python=3.8
If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.
since I use
(base) C:\Users\ivan>python --version
Python 3.8.3
(base) C:\Users\ivan>pip --version
pip 20.1.1 from C:\Users\ivan\anaconda3\lib\site-packages\pip (python 3.8)
I wonder if it is possible to solve this issue without downgrading. For users of anaconda 2020.07, python 3.8 is used by default. Downgrading it will break anaconda.
People have reported problems using tensorflow with python 3.8, it is best to use 3.7. You are incorrect about breaking Anaconda. Here is what to do.
In Anaconda home page click on environments. At the bottom left of the page click on create. A window will appear. Give the new environment a name (say python3.7). In the drop down menu select 3.7. Now a new environment is created using python 3.7. Now in the conda terminal type conda activate python3.7. Then use conda to install tensorflow. It will install version 2.1.1, the cuda toolkit version 10.1.243 and cudnn version 7.6.5. Note conda can only install tensorflow up to version 2.1.1. If you want tensorflow 2.2 install it with pip using pip install tensorflow ==2.2.0. after you have installed 2.1. The cuda toolkit and cudnn work with version 2.2. Now use pip or conda to install any other packages you need in your python3.7 environment and you should be good to go!
Related
I am trying to install tensorflow-gpu 1.15 using Conda for an easy install of CUDA and cuDNN. The problem is that checking the compatibility chart of the official web I need python 3.6, CUDA 10.0 and cuDNN 7.4.
Searching the Conda rep via conda search cudnn it says that there isn't cuDNN 7.4. Is there any other way to install the required packages? Or maybe tensorflow 1.15 also works with other combinations of versions?
As a side note, python 3.6, tensorflow-gpu 1.15 and CUDA 10 install correctly, but it seems I can't use the GPU correctly without cuDNN.
I just recently started using Conda, so maybe there is a straight forward way to do this that I don't realize. My Conda version is 4.9.1 (miniconda version).
---update---
Just in case I add the error while trying conda create -n myenv -c conda-forge tensorflow-gpu=1.15:
Collecting package metadata (current_repodata.json): done
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: -
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versions
Package _tflow_select conflicts for:
_tflow_select==2.1.0=gpu
tensorflow==1.15.0 -> _tflow_select[version='2.1.0|2.3.0|2.2.0',build='gpu|mkl|eigen']
Note that strict channel priority may have removed packages required for satisfiability.
I am not sure if that is the problem, but I installed the following way
conda create -n tensorflow1.15 python=3.5
conda activate tensorflow1.15
conda install cudatoolkit=10.0
conda install cudnn=7.3.1
pip3 install tensorflow-gpu==1.15
And it seems to works perfectly with the GPU. I didn't know that cuDNN 7.3.1 worked like 7.4. The best way is to install tensorflow with conda, but it give me an error of trying to install tensorflow-gpu=2.X.
Also maybe it's interesting to say that you can search CUDA and similar official installers with conda search -c nvidia <packageName>.
I would let conda handle all the dependencies itself by installing tensorflow via conda, not pip. The GPU version of tensorflow is available e.g. in the popular conda-forge channel:
conda create -n myenv -c conda-forge tensorflow-gpu=1.15
The best setup for TensorFlow 1.15 is to follow this guide here: https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/tensorflow-1.14/install.html#tf-install. The CUDA version which is recommended is 10.0 and the cudNN version 7.6.5
Attention to the protobuf version which will be installed, if you execute the gpu version it's 4.21.1, but you have to rewrite it with the command: pip install --upgrade tensorflow-gpu==1.15 "protobuf<4.0". If you use the cpu version its recommended to use this version here:(https://github.com/protocolbuffers/protobuf/releases/tag/v3.4.0) to avoid errors.Just download the protoc-3.4.0-win32.zip (windows)
Hope that helps.
When I try to install tensorflow on python 3.9 I get following error:
ERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none)
ERROR: No matching distribution found for tensorflow
Is not there any tensorflow for 3.9?
What do you guys recommend?
Can I install other version of python beside the existing version?
Right now tensorflow does not have a build for python3.9
The latest one is for python3.8
You can check the build files at PyPI
https://pypi.org/project/tensorflow/#files
yes, you can install another version of python.
The original poster did not mention what type of computer or operating system he was using while attempting to install TensorFlow alongside Python 3.9. The error could be linked to working on a 64-bit Mac with the M1 chip (I recently experienced the same error described above while working on a Mac M1 in a Miniconda environment with Python 3.9.13). I solved the error by running
python3 -m pip install tensorflow-macos
from Terminal (in the Miniconda environment). TensorFlow installed normally alongside Python 3.9.13.
I do recommend installing Miniconda (or Anaconda as others have suggested), because it will allow you to easily create development environments with whatever version of Python modules or dependencies you require at the moment. See https://docs.conda.io/en/latest/miniconda.html. The larger Anaconda comes with a user-friendly 'Navigator' GUI which enables you to choose which environment is used to open a Jupyter notebook or other development environment, several of which come with Anaconda. See https://docs.anaconda.com/anaconda/install/
This is terrible with newer versions of Python that are not compatible with the machine learning module package.
So my approach is to keep the existing version 3.9 and the computer is using Anaconda to install a virtual environment with 3.7. When using vscode or pycharm, just remember to set it to that 3.7 Python environment.
I am using the Graphical Interface of Anaconda. I tried to install py-xgboost but it gave me the following error-
*UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:
Specifications:
py-xgboost -> python[version='>=2.7,<2.8.0a0|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|>=3.5,<3.6.0a0']
Your python: python=3.8
If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.*
It says I have python 3.8 installed in my system but when I checked the python version on my system using the command python2 --version & python3 --version it says I have python 2.7.16 & python 3.7.3
I dont have python 3.8
What shall I do now? The above python version were there already. I never installed and someone told me not to remove those versions as some of the MAC applications are dependent on them. Its a MAC BOOK PRO 15 ( 2019 )
After some research I found a solution. I had to downgrade my python version.
But as explained above when I tried to check the version of python I am using I was getting 2.7 & 3.7.3 but my ANACONDA gives an error that I have version 3.8
That was because Anaconda uses the python which is installed in a separate directory, it was not using the python installed at the PATH directory. So I had to downgrade python which the ANACONDA was using by using the command -
conda search python
BTW if your terminal says conda command not found, then you need to edit your PATH first.
Then it gives a list of python version, you can then see which version is right for your XGboost version and then use the command-
conda install python=3.7.7
or whatever version you wanted to use.
After the downgrade of python, anaconda will ask you to downgrade other libraries as well, so go ahead and do that too unless you are using some command which was not there in the older version.
Now install py-xgboost from ANACONDA Graphical interface or by using conda method
conda install -c anaconda py-xgboost
I am trying to install tensorflow in anaconda with python 2.7 in Win10, by conda installation:
conda install -c conda-forge tensorflow=1.1.0
Then, I get the error message:
- python 2.7*
- tensorflow 1.1.0* -> python 3.5*
Use 'conda info <package>' to see the dependencies for each package.
Does the message mean I need to use python 3.5?
Yes.
TensorFlow only supports version 3.5.x of Python on Windows. Note that Python 3.5.x comes with the pip3 package manager, which is the program you'll use to install TensorFlow.
There are instructions for installing TF with Anaconda on Win10 on that page.
Was happy to know Tensorflow is made available for Windows and we don't have to use Docker.
I tried to install as per instructions but I get this error.
pip install --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-0.12.0rc0-cp35-cp35m-win_amd64.whl
tensorflow-0.12.0rc0-cp35-cp35m-win_amd64.whl is not a supported wheel on this platform.
What does that error mean?
I am running latest version of Python.
python --version
Python 3.5.2
This is most likely to be a 64-bit versus 32-bit issue. The pre-built TensorFlow pip package is 64-bit only, but the default version of Python 3.5.2 on Python.org is 32-bit. You can download the 64-bit release from here (select one of the "Windows x86-64" options).
It's only available for Python 3.5.x not 3.6.
You can quickly create a 3.5 environment with:
conda create -n tensorflow python=3.5
You must have a 3.5.x version of Python. The 3.6 version won't work.
If you have installed an Anaconda that contains Python 3.6, you need to downgrade its Python to 3.5.2.
Open the Anaconda Prompt as administrator, and run:
conda install python=3.5.2
After the installation is finished, you can follow the rest of the steps on tensorflow website.
Do you have Python and Anaconda installed? I had a similar issue until I uninstalled Anaconda and then the setup was fine.
I did the following steps and it worked.(Anaconda 4.4 x64)
1- Go to Windows 10 command prompt (right click and Run as admin)
2- if activated the path, you can run conda anywhere, if not, should go to .../anaconda3/scripts and run conda command from there and do the following (the main trick was to change 35 to 36)
1- conda -n tensorflow python=3.5
2- activate tensorflow
3- pip install --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-0.12.0rc0-cp36-cp36m-win_amd64.whl
issues fixed when i did the downgrading from 3.6 to 3.5 using the below
conda install python=3.5.2
There can be two reasons:
1) You are using 32-Bit python package. Tensorflow does not support 32 bit, only 64 fit.
Check in your system settings for this. If this is fine refer to second point..
2)You are using Python 3.7.
Python 3.7 isn't eventually officially supported by Python. It's still in beta testing,
and very much under active development.
Consider downgrading to a lower version of python. For now, stick with Python 3.6 or 3.5.