I use theano in Ubuntu with Anaconda3 and python 3.5.If I follow the installation instructions in the theano doc website, it says that I should execute the following to install theano:. pip install Theano Copy PIP instructions.

This will install theano, numpy, scipy and six but not pygpu and libgpuarray. Released: Jan 15, 2019 Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs. Create a custom conda build file for Theano. If you use conda, you can directly install both theano and pygpu. View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery. For instance: THEANO_FLAGS=device=cpu,init_gpu_device=gpu1. I have been working with Theano and it has been a bit of a journey getting the GPU to work. Latest conda packages for theano (>= 0.9) and pygpu (>= 0.6*) currently don’t support Python 3.4 branch. Here are a few notes to remind myself how to do so… Start Python and check if Theano recognizes the GPU $ python Python 2.7.8 |Anaconda 2.1.0 (64-bit)| (default, Aug 21 2014, 18:22:21) [GCC 4.4.7 … Continue reading "theano – how to get the gpu to work" Libgpuarray will be automatically installed as a dependency of pygpu. Homepage Statistics. If you wish to install theano without installing its dependencies, then you have one of three options: use conda install theano --no-deps. To do this, create the .theanorc file in your HOME directory and set the fraction of GPU memory reserved by Theano. Documentation is at: Navigation . Project description Release history Download files Project links. Meta. conda install theano pygpu. Latest version. Install it using pip instead of conda, using pip install theano. Contribute to sevensgd/Install-Theano-with-GPU-support-on-Windows-10 development by creating an account on GitHub. See config ... After installing Anaconda, in a terminal execute this command to install the latest Theano release: $ pip install Theano To install the missing Theano optional dependency (pydot): $ conda install pydot-ng If you want the bleeding edge version instead execute this command: $ pip install --upgrade --no-deps … conda install-y numpy scipy nose pip install pydot-ng pip install parameterized conda install-y theano pygpu For optimal Theano performance, enable the CUDA memory manager CNMeM. conda install theano pygpu Warning. This worked like a charm until last week or so, when I started to get segmentation fault, core dumped errors without any apparent reason. Install the compiler for Theano: C:\>conda install mingw libpython I had already installed MinGW x86_64-5.4.0-release-posix-seh-rt_v5-rev0.7z, if at the end Theano doesn't work try to install it, and add the path where you unzip the MinGW to the PATH (environment variables) Execute in command terminal C:\>conda list theano to know the version, it should be 0.9.0; Test Theano.