add dockerfiles (pytorch#583)

* add dockerfiles

Author: ngimel

Dockerfile

@@ -0,0 +1,33 @@
+FROM nvidia/cuda:8.0-cudnn5-devel-ubuntu14.04 
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+         build-essential \
+         cmake \
+         git \
+         curl \
+         ca-certificates \
+         libjpeg-dev \
+         libpng-dev &&\
+     rm -rf /var/lib/apt/lists/*
+
+RUN curl -o ~/miniconda.sh -O  https://repo.continuum.io/miniconda/Miniconda3-4.2.12-Linux-x86_64.sh  && \
+     chmod +x ~/miniconda.sh && \
+     ~/miniconda.sh -b -p /opt/conda && \     
+     rm ~/miniconda.sh && \
+     /opt/conda/bin/conda install conda-build && \
+     /opt/conda/bin/conda create -y --name pytorch-py35 python=3.5.2 numpy scipy ipython mkl&& \
+     /opt/conda/bin/conda clean -ya 
+ENV PATH /opt/conda/envs/pytorch-py35/bin:$PATH
+RUN conda install --name pytorch-py35 -c soumith magma-cuda80
+# This must be done before pip so that requirements.txt is available
+WORKDIR /opt/pytorch
+COPY . .
+
+RUN cat requirements.txt | xargs -n1 pip install --no-cache-dir && \
+    TORCH_CUDA_ARCH_LIST="3.5 5.2 6.0 6.1+PTX" TORCH_NVCC_FLAGS="-Xfatbin -compress-all" \
+    CMAKE_LIBRARY_PATH=/opt/conda/envs/pytorch-py35/lib \
+    CMAKE_INCLUDE_PATH=/opt/conda/envs/pytorch-py35/include \
+    pip install -v .
+
+WORKDIR /workspace
+RUN chmod -R a+w /workspace

README.md

@@ -14,6 +14,7 @@ We are in an early-release Beta. Expect some adventures and rough edges.
 - [Installation](#installation)
   - [Binaries](#binaries)
   - [From source](#from-source)
+  - [Docker image](#docker-image)
 - [Getting Started](#getting-started)
 - [Communication](#communication)
 - [Releases and Contributing](#releases-and-contributing)
@@ -169,6 +170,25 @@ pip install -r requirements.txt
 python setup.py install
 ```
 
+### Docker image
+
+Dockerfiles are supplied to build images with cuda support and cudnn v5 and cudnn v6 RC. Build them as usual
+```
+docker build . -t pytorch-cudnnv5 
+```
+or 
+```
+docker build . -t pytorch-cudnnv6 -f tools/docker/Dockerfile-v6
+```
+and run them with nvidia-docker:
+```
+nvidia-docker run --rm -ti --ipc=host pytorch-cudnnv5
+```
+Please note that pytorch uses shared memory to share data between processes, so if torch multiprocessing is used (e.g.
+for multithreaded data loaders) the default shared memory segment size that container runs with is not enough, and you
+should increase shared memory size either with --ipc=host or --shm-size command line options to nvidia-docker run. 
+
+
 ## Getting Started
 
 Three pointers to get you started:

tools/docker/Dockerfile-v6

@@ -0,0 +1,40 @@
+FROM nvidia/cuda:8.0-devel-ubuntu14.04 
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+         build-essential \
+         cmake \
+         git \
+         curl \
+         ca-certificates \
+         libjpeg-dev \
+         libpng-dev &&\
+     rm -rf /var/lib/apt/lists/*
+
+
+RUN curl -fsSL http://developer.download.nvidia.com/compute/redist/cudnn/v6.0/cudnn-8.0-linux-x64-v6.0-rc.tgz -O && \
+tar -xzf cudnn-8.0-linux-x64-v6.0-rc.tgz -C /usr/local && \
+    rm cudnn-8.0-linux-x64-v6.0-rc.tgz && \
+    ldconfig
+RUN ln -s /usr/local/cuda/lib64/libcudnn.so.6.0.5 /usr/lib/x86_64-linux-gnu/libcudnn.so.6.0.5
+
+RUN curl -o ~/miniconda.sh -O  https://repo.continuum.io/miniconda/Miniconda3-4.2.12-Linux-x86_64.sh  && \
+     chmod +x ~/miniconda.sh && \
+     ~/miniconda.sh -b -p /opt/conda && \     
+     rm ~/miniconda.sh && \
+     /opt/conda/bin/conda install conda-build && \
+     /opt/conda/bin/conda create -y --name pytorch-py35 python=3.5.2 numpy scipy ipython mkl&& \
+     /opt/conda/bin/conda clean -ya 
+ENV PATH /opt/conda/envs/pytorch-py35/bin:$PATH
+RUN conda install --name pytorch-py35 -c soumith magma-cuda80
+# This must be done before pip so that requirements.txt is available
+WORKDIR /opt/pytorch
+COPY . .
+
+RUN cat requirements.txt | xargs -n1 pip install --no-cache-dir && \
+    TORCH_CUDA_ARCH_LIST="3.5 5.2 6.0 6.1+PTX" TORCH_NVCC_FLAGS="-Xfatbin -compress-all" \
+    CMAKE_LIBRARY_PATH=/opt/conda/envs/pytorch-py35/lib \
+    CMAKE_INCLUDE_PATH=/opt/conda/envs/pytorch-py35/include \
+    pip install -v .
+
+WORKDIR /workspace
+RUN chmod -R a+w /workspace