@@ -20,22 +20,28 @@ For each version of PaddlePaddle, we release 4 variants of Docker images:
| gpu-noavx | no | yes |
+-----------------+-------------+-------+
The following command line detects if your CPU supports :code:`AVX`.
We run the following command on Linux to check if the CPU supports :code:`AVX`.
.. code-block:: bash
.. code-block:: bash
if cat /proc/cpuinfo | grep -i avx; then echo Yes; else echo No; fi
On Mac OS X, we need to run
.. code-block:: bash
if cat /proc/cpuinfo | grep -q avx ; then echo "Support AVX"; else echo "Not support AVX"; fi
sysctl -a | grep machdep.cpu.leaf7_features
Once we determine the proper variant, we can cope with the Docker image tag name by appending the version number. For example, the following command runs the AVX-enabled image of the most recent version:
.. code-block:: bash
.. code-block:: bash
docker run -it --rm paddledev/paddle:cpu-latest /bin/bash
To run a GPU-enabled image, you need to install CUDA and let Docker knows about it:
@@ -43,13 +49,13 @@ To run a GPU-enabled image, you need to install CUDA and let Docker knows about
The default entry point of all our Docker images starts the OpenSSH server. To run PaddlePaddle and to expose OpenSSH port to 2202 on the host computer:
.. code-block:: bash
.. code-block:: bash
docker run -d -p 2202:22 paddledev/paddle:cpu-latest
Then we can login to the container using username :code:`root` and password :code:`root`:
