Please help in resolving this error.
Numpy is already installed.
Use pip to install the numpy first.
Copy and run this code in your first cell.
!pip install numpy
If you need to upgrade pip then copy and run the below command in your first cell followed by the above command.
!python3 -m pip install --upgrade pip
You may have to restart your kernal after updating pip. Use restart option from Jupyter Notebook kernal option. see screenshot for reference.
Another Option
If you want to downgrade your python from 3.10 to 3.9, as numpy is yet not supported by python 3.10. Then you can downgrade your python version from 3.10 to 3.9 via conda.
!conda install python=3.9
I cannot seem to import Tensorflow or keras.
I have windows 10 computer
I have python 3.8.5
I installed the following using command pip3 install XXXXXXXXXX
1.matplotlib
2.pandas
3.numpy
4.Tensorflow
5.keras
in that order
i have no problem importing matplotlib, pandas or numpy.
but when I try to import tensorflow or keras, it cannot find the module (see screenshot provided)
i also checked in cmd to ensure i have them installed (see screenshot)
FYI, I installed python in drive F: and windows is installed in drive C:
is there a reason why I can import pandas, and not tensorflow or keras?
any form of help would be highly appreciated!
screenshot on jupyter error:
what version of tensorflow do you want to install? My experience is to use Anaconda onda terminal to install tensorflow. First install tensorflow 2.1 using conda.Conda automatically installs cudnn 7.6.5 and CUDA Toolkit 10.1.243. These are compatible with tensorflow 2.2. Then use pip to install tensorflow 2.2 as shown below
pip install tensorflow ==2.2.0
Conda at this time can only install tensorflow up to 2.1 that is why you have to use pip. pip does not automatically install cudnn or the Cuda toolkit but you already have them installed when you install version 2.1 with Conda. Otherwise you would have to go through a more complicated process to manually install cudnn and the toolkit. Some people have reported problems using python 3.8 with tensorflow. If you run into that create as seperate environment and install python 3.7, tensorflow 2.1 using conda, then install tensorflow 2.2 using pip.
Problem: Jupyter says "Module not found" when I try to import Tensorflow on Mac.
Background:
Virtualenv 16.7.9 installed & activated (venv)
Python 3.7.6 installed
PIP 19.3.1 installed
Tensorflow 2.1.0 installed using PIP as per official install instructions
At the command line, I can activate venv, start python3 then import tensorflow and display the tensorflow version correctly. But Tensorflow won't import from within Jupiter. And if I try to change the kernel within a Jupyter notebook, only Python3 is listed.
On other threads, people recommend using anaconda, but I've used PIP to install Tensorflow as recommended in the above link.
Any ideas?
Install a Jupyter Kernel
You need to install a kernel inside the env and then use Jupyter.
ipython kernel install --user --name=.venv
Then restart jupyter, click new, you should see .venv in your kernel list.
Does anyone know how to properly install tensorflow on Windows?
I'm currently using Python 3.7 (also tried with 3.6) and every time I get the same "Could not find a version that satisfies the requirement tensorflow-gpu (from versions: )
No matching distribution found for tensorflow-gpu" error
I tried installing using pip and anaconda, both don't work for me.
Found a solution, seems like Tensorflow doesn't support versions of python after 3.6.4. This is the version I'm currently using and it works.
Tensorflow or Tensorflow-gpu is supported only for 3.5.X versions of Python. Try installing with any Python 3.5.X version. This should fix your problem.
Here is what i did to get tensorflow working with windows.
Download python 3.7.0 (64 bit from Python Releases for Windows) Install it and check python version by running below command in cmd:
python --version
Python 3.7.0
Then run below command to upgrade pip to latest
python -m pip install --upgrade pip
Now install tensorflow using pip
pip install tensorflow
That's it you have installed tensorflow on windows. Below image shows what happens when you type above commands
link for tensorflow for python 3x
https://pypi.org/project/tensorflow/#files
tensorflow-1.14.0-cp37-cp37m-win_amd64.whl (68.3 MB)
Unfortunately, tensorflow can't installed correctly on python 3.7 and last version of anaconda: so, the best and effective way to do this is to downgrade your python to python 3.6.7 use the next steps:
1- download the latest version of Anaconda
use Anaconda prompt with administrator privilege
2- conda install python=3.6.7 (need a long time)
3-conda install tensorflow
4- conda install keras
5- conda install numpy
Check whether you have a CPU or GPU, if your system doesn't have GPU, then it will generate error.
If you are going to install tensorflow using Windows command prompt (assuming python is already installed), then just run the following command. Go to the root directory, preferably 'C:' drive then run
For GPU- pip3 install --upgrade tensorflow-gpu
For CPU- pip3 install --upgrade tensorflow
If you are using Anaconda, then open Anaconda Navigator->Environments->Select 'All' from the drop down menu and then search TensorFlow. If you are using CPU, then select 'tensorflow', else for GPU select 'tensorflow-gpu'. Then click Apply.
Screenshot of Anaconda Navigator-In case you are not familiar where to look.
Download the latest version of anaconda from here
I'm using Anaconda 2019.03 for Windows Installer, Python 3.7, 64-bit
Upgrade pip as:
python -m pip install --upgrade pip
(a). Install tensorflow using pip3 as:
pip3 install --user --upgrade tensorflow
(b). If you installed anaconda with all users mode. The above
command will become:
pip3 install --upgrade tensorflow
Check installation success as:
python -c "import tensorflow as tf; print(tf.reduce_sum(tf.random.normal([1000, 1000])))"
As of Feb 2020, Tensorflow is not supported for Python 3.8+
To make it work install a virtualenv w/ Python 3.7 from here: https://www.python.org/downloads/windows/
Tensorflow pip installation for python version 3.5-3.8 requires pip 19.0 or later, as mentioned in the official tensorflow documentation.
Here is a part of this documentation:
System requirements
Python 3.5–3.8
Python 3.8 support requires TensorFlow 2.2 or later.
pip 19.0 or later (requires manylinux2010 support)
Try running pip install --upgrade pip inside your python3 virtualenv.
You mentioned Anaconda. Do you run your python through there?
If so check in Anaconda Navigator --> Environments, if your current environment have got tensorflow installed.
If not, install tensorflow and run from that environment.
Should work.
I had the same problem that yours, happened that I had python at version 3.7. So for installing the Tensorflow with the GPU support I used:
py -3.6 -m pip install tensorflow-gpu
at a Virtualenv ambient. You can see the documentation behind on this website:
https://docs.python.org/3/installing/index.html
I think that this solution is better than downgrade the Python version.
Actually the easiest way to install tensorflow is:
install python 3.5 (not 3.6 or 3.7) you can check wich version you have by typing "python" in the cmd.
When you install it check in the options that you install pip with it and you add it to variables environnement.
When its done just go into the cmd and tipe "pip install tensorflow"
It will download tensorflow automatically.
If you want to check that it's been installed type "python" in the cmd then some that ">>>" will appear, then you write "import tensorflow" and if there's no error, you've done it!
As of November 2018, Tensorflow is not supported for Python 3.6.4+
What to do:
Downgrade Anaconda's Python from 3.7 or 3.6.5+ to 3.6.4
a. Open Command Prompt, find your Anaconda environment, and change your directory
where anaconda or where python
Example path and cd:
cd C:\ProgramData\Anaconda3\bin
b. While in anaconda3/bin in your Command Prompt, source activate your base Anaconda environment
source activate
c. In your Command Prompt, downgrade your base Anaconda environment
conda install python=3.6.4
d. Install Tensorflow
pip install tensorflow
Further reading:
http://docs.anaconda.com/anaconda/user-guide/faq/#how-do-i-get-the-latest-anaconda-with-python-3-5
As of July 2019, I have installed it on python 3.7.3 using py -3 -m pip install tensorflow-gpu
py -3 in my installation selects the version 3.7.3.
The installation can also fail if the python installation is not 64 bit. Install a 64 bit version first.
This is Manas working as a intern in COE-AI lab(CET,BBSR) under tech machindra.
We faced same error. After a little research, we found that there is a glitch in anaconda python 3.7. It does not install tensorflow through pip or conda install command, even if it does..produces same error..
Here is the solution, install conda environment for python=3.6:
go to the directory where conda is installed
cd anaconda3
conda create -n tensorflow python=3.6
conda activate tensorflow
conda install tensorflow python=3.6
python
Import tensorflow.
steps
Do it twice:
enter image description here
enter image description here
-> Not able to install tensorflow , Here I have a solution that worked for me
Step 1 :
- Check version of python(3.7.3)
- Python must be 64 bit Otherwise tensorflow never ever going to be installed it defiitely gives Error.
Step 2 :
pip install tensorflow==2.0.0
Step 3 :
pip install sklearn==0.0
pip install Pillow==8.0.1
pip install h5py==2.10.0
Step 4 :
pip install keras==2.3.1
Now its ready to use.
In Windows 10 with Python 3.8.5, first i tried directly then it was giving following error:
ERROR: Could not find a version that satisfies the requirement tensorflow==1.15 (from versions: none)
Then i installed successfully in virtual environment shown below:
PS E:\udemy\full_stack_web_ai\deeplearning> .\myenv\Scripts\activate
(myenv) PS E:\udemy\full_stack_web_ai\deeplearning> pip install tensorflow
Collecting tensorflow ###
Downloading tensorflow-2.4.1-cp38-cp38-win_amd64.whl (370.7 MB)
Use virtual environment using:
python -m venv myenv
.\myenv\Scripts\activate
Not Enabling the Long Paths can be the potential problem.To solve that,
Steps include:
Go to Registry Editor on the Windows Laptop
Find the key "HKEY_LOCAL_MACHINE"->"SYSTEM"->"CurrentControlSet"->
"File System"->"LongPathsEnabled" then double click on that option and change the value from 0 to 1.
3.Now try to install the tensorflow it will work.
I am facing the below error while running the code for LinearClassifier in tensorflow.
AttributeError: module 'tensorflow.python.estimator.estimator_lib' has no attribute 'LinearRegressor'
My current version for tensorflow is 1.2.1. I tried to update the version of the package from ANACONDA environment, its not showing for an upgrade.
I tried to upgrade it from command prompt by using below command, it is successfully updating the package however it is not reflecting to the actual library when I am using it.
pip install --upgrade tensorflow==1.3.0
FYI, I am using Jupyter Notebook and have created a separate environment for tensorflow.
Please let me know if I have missed anything.
If your command pip install --upgrade tensorflowcompiles, then your version of tensorflow should be the newest. However you should restart your notebook. Also, as you said that you are using anaconda. You can also install and upgrade tensorflow as follows:
conda install -c conda-forge tensorflow # to install
conda upgrade -c conda-forge tensorflow # to upgrade
That should work. Check if you are using any environment but you are not updating the tensorflow version within the environment.
Also, please restart the notebook after saving it and run the cells and try. That should work.
Verify in the notebook : run - print(tf.__version__). Please mark the answer if it resolves.