Here are all the lines that I used to install theano:
# Create env.
conda create --name PyMC3 python=3.6
# Activate
activate PyMC3
# update pip
python -m pip install --upgrade pip
# Install theano reqirements
conda install numpy scipy mkl-service libpython m2w64-toolchain
# Install theano
conda install theano pygpu
I have CUDA drivers installed, which I use for tensorflow in another environment.
At the end of the installation, the CMD closes itself. Then every time I type:
activate PyMC3
It also closes / crashes.
At this time (March 14th of 2019), it seems like Theano doesn't support python 3.6, even though there is a conda package for it.
I used python 3.5 and it installs.
Related
i have dask, dask-core and dask geopandas installed as shown:
dask 2021.7.1 pyhd8ed1ab_0 conda-forge
dask-core 2021.7.1 pyhd8ed1ab_0 conda-forge
dask-geopandas 0.1.0a4 pypi_0 pypi
however, when importing I kept getting an error message :
"ModuleNotFoundError: No module named 'dask_geopandas'"
I wonder what has gone wrong with installation, thank you.
This could happen if pip install and conda install installed packages in different paths (this typically happens when the conda environment does not have its own pip).
A simple way out of this is to install everything with conda, so in this case you would run the following within your conda environment:
conda install -c conda-forge dask dask-geopandas
Alternatively, make sure that your conda environment has pip installed also and then run the pip within the conda environment:
conda install -c conda-forge dask pip
# if the conda environment is not activate, then activate it
# using: conda activate the_name_of_your_env
pip install dask-geopandas
In addition, there are specific instructions at https://geopandas.readthedocs.io/en/latest/getting_started/install.html#installing-with-pip about extra steps you may need to take when using pip - you might need a compiler available in your system.
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
I am following instructions from tensorflow website using virtualenv to install and having following issue when validating installation using import tensorflow as tf in python interactive shell.
Please note, I am running Python 3.7
Here are list of packages I have installed.
Can someone help?
I also tried to remove protobuf suggested by stackoverflow issue using pip uninstall protobuf, but doesn't help.
I was able to resolve above issue after some research. It looks like, tensorflow is not compatible with python 3.7 (as of July 30th 18) which is what I had installed on my computer .
Following github issue helped me resolved the issue.
I installed python 3.6.6 using pyenv and setup virtualenv. Here is what I did:
# Install python 3.3.6 and create virtualenv
$ pyenv install 3.6.6
$ pyenv virtualenv 3.6.6 tensorflow_image_recognition_3_6_6
$ pyenv activate tensorflow_image_recognition_3_6_6
# update pip
$ easy_install -U pip
#Install tensorflow
$ pip3 install --upgrade tensorflow
# Test if tensorflow is installed properly
# open python interactive shell
$ python
import tensorflow as tf
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))
I can not find a solution to install tensorflow on anaconda/mac.
When i try: conda install tensorflow,
I get:
UnsatisfiableError: The following specifications were found to be in conflict:
- blaze -> numba -> numpy=1.13
- tensorflow
Use "conda info " to see the dependencies for each package.
I tried reinstalling numpy, and could not find any relevant documentation.
On mac use following command:
conda install -c conda-forge tensorflow
This will install the latest Tensorflow on your system. if you wish to upgrade it to newer version then you can use the following command
conda update -f -c conda-forge tensorflow
I have had success installing tensorflow through pip...
pip install tensorflow
or, if you have all of the proper libraries...
pip install tensorflow-gpu
But if you have already removed numpy form the anaconda install, you might be in for a long day because almost all of the numeric packages require it. If the above pip install doesn't work, you might want to start from a clean anaconda install.
I have installed tensorflow using -
pip install tensorflow
Or, you can use Anaconda in following way -
Open Anaconda Navigator
On Left side go to Environments
Create a new environment (eg :- tensorflow_tf), select python 3.7
then select Not installed and Search "tensorflow"
click on tensorflow and apply
I get this error:
C:\Users>conda install pytorch torchvision -c soumith
Fetching package metadata .............
PackageNotFoundError: Package missing in current win-64 channels:
- pytorch
I got conda install pytorch torchvision -c soumith from Pytorch official website and I have OSX/conda/3.6/none for settings on Pytorch site(should be correct). I am new to conda, any tips how to solve this?
Update: From PyTorch 0.4, there is an official Anaconda channel with packages for Windows as well.
You can install the latest pre-built (binary) version of PyTorch (GPU version by default) on windows using:
conda install -c pytorch pytorch
For CPU only version:
conda install -c pytorch pytorch-cpu
For specific version of CUDA say CUDA9.1:
conda install -c pytorch pytorch cuda91
Official instructions for windows are now available here
Old answer for previous versions (<0.4) of PyTorch on Windows:
It looks like you are on windows (win 64) and you are trying to install pytorch by choosing OSX because you don't have an option listed for win64 on pytorch site. (Correct me if that is not the case, I will revise my answer). -c soumith will use soumith's channel which only has packages for Linux and OSX not for windows. That is why you got that error when you ran conda from a windows machine.
You can install pytorch on windows through conda using this command:
conda install -c peterjc123 pytorch
This will fetch the pytorch package using peterjc123's channel which has packages for Win64.
You can install the torchvision package using pip like this:
pip install torchvision
On June,2019, The command generated at pytorch will require dependencies before it can be executed successfully. For example I chose stable pytorch 1.1 build with python 3.6 and Cuda 10.0. The command generated by pytorch page was as follows:
conda install pytorch torchvision cudatoolkit=10.0 -c pytorch
But it will not work if you have created a new conda environment like me. The step by step process for setting up pytorch is as follows:
First install the cudatoolkit as follows:
conda install -c anaconda cudatoolkit=10.0
Then install the mkl_fft as follows:
conda install -c anaconda mkl_fft
Assuming you will face no more dependency issues. Use the following command to setup pytorch:
conda install -c pytorch pytorch
This worked for me. But I had setup my new conda environment with scikit-learn and jupyter notebook before starting the pytorch setup. So if any dependency problem arise, it would be a good idea to install both scikit-learn and jupyter notebook as well.
Use the following commands to install pytorch on windows
for Windows 10 and Windows Server 2016, CUDA 8
conda install -c peterjc123 pytorch cuda80
for Windows 10 and Windows Server 2016, CUDA 9
conda install -c peterjc123 pytorch cuda90
for Windows 7/8/8.1 and Windows Server 2008/2012, CUDA 8
conda install -c peterjc123 pytorch_legacy cuda80
I have face similar problem because I have installed pytorch cpu only version. I tried everything and update pytorch to gpu version but nothing helped.
Simple solution is to create new environment and then install pytorch gpu version. It resolve my problem