theano from - conda install -c rdonnelly theano=0.9.0rc1. pygpu from - conda install pygpu. my .theanorc.txt: [cuda] root=C:

DEVICE=”cuda” python -c “import pygpu; pygpu.test()” Ran 7301 tests in 159.932s Use EMAN2. Note that you will need to run this once in each shell before being able to run EMAN2 commands: source activate eman113. this will switch to the conda environment where all EMAN2 dependencies are configured.

None of these methods fixed the problem. Has anyone found a solution for it? Also, is there a new ticket? I was not able to find one. Windows 10 with cuda 8.0 cudnn 5.1 driver 378.78 Anaconda python 2.7 and VS2013 installed theano by conda install theano pygpu(also tried conda install pygpu=0.6.2) https://anaconda.org/conda-forge/pygpu/badges/installer/conda.svg conda remove pygpu && conda install -c conda-forge pygpu. It doesn't work for me, maybe you'll be more lucky. share | follow | answered May 11 '17 at 12:56.

Pygpu conda

With pip 2017-05-05 conda create --name gravityspy source activate gravityspy conda install pygpu pip install git+https://github.com/Gravity-Spy/GravitySpy.git Upgrade pygpu conda install -c conda-forge pygpu=0.7; The latest Theano tries to use CuDNN by default. CuDNN speeds up neural network training, although the improvement is not very significant for the size of networks we are using. So you need to either install the latest CuDNN from Nvidia File “pygpu/gpuarray.pyx”, line 1021, in pygpu.gpuarray.GpuContext.cinit (pygpu/gpuarray.c:13468) GpuArrayException: Unknown device error: -1. If I set device=cuda0, the program goes well. By the way, I install the libgpuarray backend using conda install pygpu and I have three nvidia xp cards installed. The below instructions should have you set up with both Keras 1.2.2 and theano 0.9 on Windows 8.1 in 30 minutes or less, depending on the speed of your internet connection.

For pygpu you need something like this (assuming Linux shell): [~]$ DEVICE="cuda0" python >>> import pygpu >>> pygpu.test () e.g. you need to set up the environmental variable DEVICE before you run it or as the error says GPUARRAY_TEST_DEVICE.

However, here's v0.7.6; linux-64 v0.7.6; win-32 v0.7.6; osx-64 v0.7.6; linux-32 v0.7.6; win-64 v0. 7.6.

Posted by Joshgel, May 15, 2017 7:19 PM

With pip ¶ If you use pip, you have to install Theano and libgpuarray separately. I'm getting the following error: ERROR (theano.gpuarray): pygpu was configured but could not be imported or is too old (version 0.6 or higher required) Yet according to conda I'm using pygpu 0.6.4. Ubuntu Installation Instructions, With conda If you use conda, you can directly install both theano and pygpu.

win-64 v0.7.6.
How much vram do i have

linux-64 v2016.7.15. osx-64 v2016.7.15. To install this package with conda run: conda install -c trung pygpu. conda: 591.9 kB | osx-64/pygpu-0.7.6-py36h962fabe_1002.tar.bz2: 4 days and 22 hours ago cf-staging 25: main conda: 588.3 kB | win-64/pygpu-0.7.6-py37hda49f71_1002.tar.bz2: 1 month and 18 days ago Type Size Name Uploaded Uploader Downloads Labels; conda: 548.2 kB | osx-64/pygpu-0.7.6-py37hf70a2b7_1002.tar.bz2 24 days and 14 hours ago Installing pygpu.

It uses a image abstraction to abstract away implementation details of the GPU, while still … 2017-06-30 pygpu.gpuarray.GpuArrayException: (b'cuLinkAddData: CUDA_ERROR_UNKNOWN: unknown error', 3) $ conda list # Name Version Build Channel If you want to use conda to install your python packages, see the Conda section below..
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Conda was designed specifically to ensure scientific packages are easily managed with all necessary stuff installed without any fuss or muss. pip is a general python package manager, but is not built specifically for scientific packages. If you wish to install theano without installing its dependencies, then you have one of three options:

You get GPU/ TPU computing power while from a Jupyter Notebook frontend 7 Dec 2020 user_6396 Whenever I tried to conda update --all. py37_1 conda-forge pygments 2.4.2 py_0 conda-forge pygpu 0.7.6 py37h452e1ab_1000 Community.

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ran "conda install theano pygpu" and it seemed to have installed fine. $ python Python 3.6.5 |Anaconda, Inc.| (default, Apr 29 2018, 16:14:56) [GCC 7.2.0] on linux Type "help", "copyright", "credits" or "license" for more information.

The problem is that conda installs pygpu version 0.6.8 which is incompatible with theano, according to the docs here. conda uninstall keras Step 2: Reinstalling the deep learning backend and front end, along with a missing dependency called libgpuarray. Run the following lines in command line or terminal to install libgpuarray, theano and keras.