Trying to run the following command:
conda create -n photo_test python=3.6 numpy Pillow setuptools six pytorch torchvision wheel
But it keeps returning the following:
torchvision command error
It's already installed. I've already runned the command "conda install -c pytorch torchvision", and here's the return:
install torchvision
Related
So when I try to import torch in jupyter notebook it gives the error no module named 'torch'.
I created a conda environment named "Thesis" where I work in and install my packages.
When I try these commands in my terminal it says the package is installed (see three images below):
torch1
torch2
torch3
I tried many commands to install the package:
pip install torchvision
python3 -m pip install torchvision
conda install pytorch torchvision -c pytorch
I also tried installing the package directly in the jupyter notebook itself via:
import sys
!{sys.executable} -m pip install torchvision
It at least shows something but I got the following dependency error
dependency error
I also created a kernel
ipython kernel install --name "thesis" --user
All did not help and I still receive the error in jupyter notebook.
Does somebody know how to resolve this?
I solved the problem by downloading and activating virtualenv with:
python3 -m pip install virtualenv
virtualenv <my_env_name>
source <my_env_name>/bin/activate
And getting the path in the jupyter notebook by:
import sys
print(sys.executable)
which outputs:
/Users/{username}/opt/anaconda3/bin/python
And installing the packages in the terminal via:
/Users/{username}/opt/anaconda3/bin/python -m pip install {package_name}
create virtualenv -p pypy3 pypy3.
I had upgraded Pip so that I can install other packages:
pypy3 -m ensurepip
pypy3 -m pip install --upgrade pip setuptools wheel
PyPy 7.3.5 with GCC 7.3.1 20180303 (Red Hat 7.3.1-5)] on linux,
error: command 'gcc' failed with exit status 1
But it waits so long after run command:
pypy3 -m pip install scikit-learn
Please use conda-forge, they supply binary packages for many common libraries like scikit-learn:
$ conda create -c conda-forge -n pypy3.7 pypy
$ conda activate pypy3.7
(pypy3.7)$ conda install -c conda-forge scikit-learn
When I am trying to install python-graphviz package on IBM Cloud as part of my final assignment for the course - ML with Python, I'm getting the following errors
ERROR: Could not find a version that satisfies the requirement python-graphviz (from versions: none)
ERROR: No matching distribution found for python-graphviz
The command I used is as follows:
!pip install python-graphviz
As per the lab instructions, the following commands to install pydotplus and python-graphviz didn't work.
#!conda install -c conda-forge pydotplus -y
#!conda install -c conda-forge python-graphviz -y
To summarize,
!pip install pydotplus ## THIS IS WORKING.
#!conda install -c conda-forge pydotplus -y ## THIS IS NOT WORKING
!pip install python-graphviz ## THIS IS NOT WORKING
#!conda install -c conda-forge python-graphviz -y ## THIS IS ALSO NOT WORKING.
Please advise me with the right instruction set - whether PIP or CONDA.
Thanks.
Regards,
Vasan S T
Try pip install graphviz after upgrading pip.
I'm using mac os mojave, install python 2.7 and install pip using python get-pip.py, I already try those command to install pip :
pip install --upgrade pip
pip install nltk
and try
sudo python -m pip install --upgrade nltk
But also result to same error like in this image
Or here in text:
error in nltk setup command: 'install_requires' must be a string or
list of strings containing valid project/version requirement
specifiers; Expected version spec in singledispatch; python_version <
"3.4" at ; python_version < "3.4"
Is it because my python version (2.7) ? But in pip ntlk page it says also support 2.7
update:
pip install nltk success after running :
pip install --upgrade setuptools pip --user
Start with upgrading installation tools:
pip install --upgrade setuptools pip
I cant seem to install the right version of torch and I cant get fast ai libraries working
I try
Python 3.7
pip3 install https://download.pytorch.org/whl/cu100/torch-1.0.1-cp37-cp37m-win_amd64.whl
pip3 install torchvision
Could not find a version that satisfies the requirement torch>=1.1.0 (from torchvision) (from versions: 0.1.2, 0.1.2.post1, 0.1.2.post2)
No matching distribution found for torch>=1.1.0 (from torchvision)
I feel like I may of downgraded my gpu when I tried conda install fast ai
and then I tried pip and it couldnt find a file C:\Users\Admin\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.7_qbz5n2kfra8p0\LocalCache\local-packages\Python37\site-packages\caffe2\python\serialized_test\data\operator_test
I finally got to the point where it said successfully installed six, pillow, and torch but torch is at 0.3 which is incompatiable.
pip3 install https://download.pytorch.org/whl/cu100/torch-1.0.1-cp37-cp37m-win_amd64.whl
pip3 install torchvision
expected to install pytorch or fastai nothing seems to work
You may try installing the course by creating a conda environment provided anaconda is already installed in your windows machine.
conda update conda
conda create -n fastai_conda python=3.6
conda activate fastai_conda
conda install fastai pytorch=1.0.0 -c fastai -c pytorch -c conda-forge
Or for installing CPU version you can use the below commands after the environment is created
conda install -c pytorch pytorch-cpu torchvision
conda install -c fastai fastai
You can check if installation went right with this command
python -m fastai.utils.show_install
You may further need to install ipykernel to use the conda environment in your jupyter notebook.For that activate environment and run the following commands:
conda install nb_conda_kernels
python -m ipykernel install --user --name fastai_v1 --display-name "fastai v1"
conda install ipywidgets