for Windows: Type the commands into the Conda terminal which is part of the Miniconda installation conda install numpy scipy mkl nose sphinx theano pygpu.

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

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. conda install -c conda-forge pygpu. 2) [Works with both Anaconda Python or Official CPython] Install libgpuarray from source: Step-by-step install libgpuarray user library. Then, install pygpu from source: (in the same source folder) python setup.py build && python setup.py install. PyGPU is an embedded language in Python, that allow most of Python features (list-comprehensions, higher-order functions, iterators) to be used for constructing GPU algorithms. 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..

To accomplish this, it may update some packages that are already installed, or install additional packages. To prevent existing packages from updating, use the --no-update-deps option. conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions) Updating pygpu-feedstock If you would like to improve the pygpu recipe or build a new package version, please fork this repository and submit a PR. PyGPU is an embedded language in Python, that allow most of Python features (list-comprehensions, higher-order functions, iterators) to be used for constructing GPU algorithms. It uses a image abstraction to abstract away implementation details of the GPU, while still allowing translation to very efficient GPU native-code. This really relieves you from setting up a separate mingw environment and handling commonly used libraries which are as easy as conda install boost in Anaconda. If you feel Anaconda is a bit too heavy, try miniconda and adding basic packages like numpy on top of it. Once you install Anaconda, install additional dependencies.

conda install theano pygpu I was hoping this is it, because that automatically installs the GPU backend. In addition, pygpu seems to be working (I deleted the long line

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions) Updating pygpu-feedstock If you would like to improve the pygpu recipe or build a new package version, please fork this repository and submit a PR. PyGPU is an embedded language in Python, that allow most of Python features (list-comprehensions, higher-order functions, iterators) to be used for constructing GPU algorithms. It uses a image abstraction to abstract away implementation details of the GPU, while still allowing translation to very efficient GPU native-code.

conda install -c anaconda pygpu Description. By data scientists, for data scientists. ANACONDA. About Us Anaconda Nucleus Download Anaconda. ANACONDA.ORG. About Gallery

This really relieves you from setting up a separate mingw environment and handling commonly used libraries which are as easy as conda install boost in Anaconda. If you feel Anaconda is a bit too heavy, try miniconda and adding basic packages like numpy on top of it.

Run the following lines in command line or terminal to install libgpuarray, theano and keras. With conda ¶ If you use conda, you can directly install both theano and pygpu. Libgpuarray will be automatically installed as a dependency of pygpu. conda remove pygpu theano && conda install -c conda-forge pygpu theano, conda remove pygpu theano && conda install pygpu theano and; the step-by-step install guide. None of these methods fixed the problem. Has anyone found a solution for it?
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Configure theano to find your libraries by creating a file “.theanorc” in your home directory containing: [blas] ldflags =-L / path / to / your / anaconda / environments / beat / lib-lopenblas-lgfortran [nvcc] 2017-07-12 2017-04-26 Conda is a cross-platform, language-agnostic binary package manager. It is the package manager used by Anaconda installations, but it may be used for other systems as well. Conda makes environments first-class citizens, making it easy to create independent environments even for C libraries. Conda install theano pygpu.

Tried again with a clean env. only the pre-reqs. as on the theano website, same result.
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conda install theano pygpu I was hoping this is it, because that automatically installs the GPU backend. In addition, pygpu seems to be working (I deleted the long line

conda remove pygpu theano && conda install -c conda-forge pygpu theano, conda remove pygpu theano && conda install pygpu theano and; the step-by-step install guide. 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.