When installing Tensorflow it said I was missing a file but i dont know how to fix it and or get that file
I have tried re-downloading python but I am still missing the file
pip install Tensorflow
What I want is for the installation to complete.
Here is the error message:
C:\Users\MYUSER\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\LocalCache\local-packages\Python37\site-packages\tensorflow_estimator\python\estimator\canned\linear_optimizer\python\utils\__pycache__\sharded_mutable_dense_hashtable.cpython-37.pyc'
This is a typical Windows problem with long file paths. Disable the MAX_PATH limitation; the instruction for that can e.g. be found here:
3.1.2. Removing the MAX_PATH Limitation
Windows historically has limited path lengths to 260 characters. This meant that paths longer than this would not resolve and errors would result.
In the latest versions of Windows, this limitation can be expanded to approximately 32,000 characters. Your administrator will need to activate the “Enable Win32 long paths” group policy, or set the registry value HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\FileSystem#LongPathsEnabled to 1.
After that, reboot and retry the installation.
When installing Tensorflow it said I was missing a file but i don't know how to fix it and or get that file.
Create a environment using anaconda.
This Problem can be solved by execute the Below commands:
conda update anaconda
conda create -n tensorflow pip python=3.5
conda install --force html5lib
activate tensorflow
pip install --ignore-installed --upgrade tensorflow
conda install -c conda-forge tensorflow
conda install jupyter
Refer this https://www.tensorflow.org/tutorials
Finally you can able to install Tensorflow.
I hope it will help you.
Related
I use Python and pycharm as a tool.
If you use the pip statement to install the library, you will get an error.
For example, if I want to download the torch (1.6.0) version and type pip install torch==1.6.0,
It says no version.
This is not the end, but some libraries continue to cause strange conflicts and will not be installed.
For example, if you type pip install poro to install the poro library, an unknown error pops up and the installation fails.
I'm not asking for a pororo installation.
My question is, I want to know how to download the library without relying on pycharm.
I want to download it separately from a site like pypi and put the library directly into the virtual environment (conda).
What should I do?
The following worked for me:
First, install mkl using conda:
conda install -c anaconda mkl
Then run this:
conda install -c pytorch pytorch
I'm using conda with Spyder/Python 3.8.8.
I'm trying to install the geopandas package through conda-install, but when running it, I receive no output.
I've input the command conda install -c conda-forge geopandas and let it run for 30 minutes so far, so I doubt it's just a large package or poor connection. I don't know if I'm supposed to be seeing progress updates, but if I am, I'm not.
Any help is appreciated, thanks!
If you are using the base Anaconda environment, then there are packages that are conflicting with geopandas. I suggest you to create new environment for geopandas:
open anaconda command line and run this command to create new environment:
conda create --name gis python==3.8
You can use any version of python you like of course. Then you need to activate it:
conda activate gis
Now you can install geopandas and jupyter lab if you need it (Personally recommend VSCode):
conda install -y -c conda-forge geopandas jupyterlab
enter code here
Use below command to install,
conda install geopandas
or
pip install geopandas
When using pip to install GeoPandas, you need to make sure that all dependencies are installed correctly.
fiona provides binary wheels with the dependencies included for Mac and Linux, but not for Windows.
pyproj, rtree, and shapely provide binary wheels with dependencies included for Mac, Linux, and Windows.
Windows wheels for shapely, fiona, pyproj and rtree can be found at Christopher Gohlke’s website.
Depending on your platform, you might need to compile and install their C dependencies manually. We refer to the individual packages for more details on installing those. Using conda (see above) avoids the need to compile the dependencies yourself.
This solution might not be exactly relevant, but since there is no marked solution, it might help...
I recently ran into a problem installing geopandas as well. Though I did mine through my terminal and I did receive an error message: OSError: could not find or load spatialindex_c-64.dll.
I used: conda install -c conda-forge rtree=0.9.3.
Check out this post for more info.
I'm trying to install a python package directly from github. In my case that's SciANN. When I selected my environment in conda using conda activate myenv and afterwards install this package as explained in this post using the following lines of code:
conda install git pip
pip install git+git://github.com/sciann/sciann.git
it is successfully installed and I get the message "Successfully built SciANN" in the end of the insatllation procedure. When I then open spyder and type import sciann I get the error ModuleNotFoundError: No module named 'sciann'. I also tried to use pip3 instead of pip but this did not change something.
Have I missed something? Is this package now installed correctly into my environment myenv?
The deleted answer from Jay Prakash together with the comments brought me on track. Yes there can be different versions of packages installed. So in my case SciANN was installed using pip as they currently do not offer a conda installation while all my other packages where installed with conda. I ended up having two different versions of tensorflow installed, one from pip and one from conda so I deleted one. Additionally I used Python version 3.7 while this package supports only up to 3.6. And I had to use a non official tensorflow version because my CPU does not support AVX which is a whole new topic.
I am following the instruction at https://anaconda.org/anaconda/tensorflow-gpu to install "tensorflow-gpu" (currently 1.12.0 for linux64) by running
conda install -c anaconda tensorflow-gpu
in the currently active conda environment. At first this seems to work fine as in python3, I can import tensorflow as tf, but then I cannot even access e.g. tf.__version__ since it is undefined.
I then found out at https://anaconda.org/anaconda/tensorflow-gpu/files that all the recent tensorflow-gpu*.tar.bz2 packages are just a few kilobytes in size. Similarly, all non-gpu packages at https://anaconda.org/anaconda/tensorflow/files also are just around 4kb in size. This seems odd as tensorflow should easily require few hundreds of megabytes. So my question is, what is the point of these few kilobytes conda packages, and what am I doing (and understanding) wrong if I want to install tensorflow in an anaconda environment.
Faced the same issue. You can get tensorflow working by installing it using pip instead of conda using:
pip install --upgrade tensorflow
I am trying to install Tensorflow on Windows.
I have Anaconda 4.2.0. I tried running
conda create -n tensorflow python=3.5
in my command prompt. This seemed to do something, but I'm not sure what this accomplished. It created a folder within the Anaconda3 program in my username folder.
This folder is filled with the following content:
Over the summer, I used mainly Jupyter Notebooks to do my python coding. Within this environment, there is a tab marked Condas
So it looks like I should be able to switch to the Tensorflow environment. But this doesn't work when I try to switch, there is no option to change my kernel to a Tensorflow one.
I tried running
conda search tensorflow
But nothing appears.
I'm not sure what to do. I asked a few grad students in my economics research group, but they weren't sure what to do either.
My Question
How do I properly install Tensorflow on Windows?
The syntax of the command is conda create -n <name_of_new_env> <packages>. As a result, you created a clean environment named tensorflow with only Python 3.5 installed. Since conda search tensorflow returned nothing, you will have to use pip or some other method of installing the package. Since there is spotty official support for Windows, the conda-forge package (CPU only) at https://github.com/conda-forge/tensorflow-feedstock is probably the best way.
People have also reported success installing Tensorflow with docker, if you have docker set up already.
I was able to run it under the Windows 10 linux subsystem (https://msdn.microsoft.com/en-us/commandline/wsl/install_guide)
Which is basically a linux environment within windows.
The latest tensorflow version (0.12) added windows support
https://www.tensorflow.org/get_started/os_setup#pip_installation_on_windows
just run:
pip install --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-0.12.1-cp35-cp35m-win_amd64.whl
(the url is for the specific version - you will need to change it for future versions or other setups)
An Anaconda environment isolates itself completely with the outer world, so all the packages you installed outside the virtualenv is nothing in the virtualenv, if you want to use Tensorflow in the environment(seems like the only way with Anaconda), use activate tensorflow command and install the packages you want seperately.
pip provides an easy method to install tensorflow on windows machine.
use the following pip command
pip install --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-0.12.0rc0-cp35-cp35m-win_amd64.whl
Tensorflow only support python3.5 x64 bit on windows machines and it requires that you install Visual C++ 2015 redistributable (x64 version) to be able to import tensorflow