From 0a606f0d73a2855a0cc5a93c54fa30df1b66e5f4 Mon Sep 17 00:00:00 2001
From: Peter Reutemann <fracpete@gmail.com>
Date: Thu, 14 Mar 2024 11:56:46 +1300
Subject: [PATCH] added mmpretrain docker images and post announcing them

---
 pages/docker-images-dockerhub.rst          | 13 +++++++++++++
 pages/docker-images-inhouse.rst            | 13 +++++++++++++
 posts/2024-03-14-mmpretrain_docker_120.rst | 17 +++++++++++++++++
 3 files changed, 43 insertions(+)
 create mode 100644 posts/2024-03-14-mmpretrain_docker_120.rst

diff --git a/pages/docker-images-dockerhub.rst b/pages/docker-images-dockerhub.rst
index f80052d..5dc36d8 100644
--- a/pages/docker-images-dockerhub.rst
+++ b/pages/docker-images-dockerhub.rst
@@ -67,6 +67,19 @@ preparation, training and making predictions.
               </li>
             </ul>
           </li>
+          <li>
+            <p>PyTorch/MMPretrain (successor of MMClassification)</p>
+            <ul>
+              <li>
+                <p><a class="reference external" href="https://github.com/waikato-datamining/mmpretrain/blob/master/1.2.0_cuda11.1">MMPretrain 1.2.0, PyTorch 1.9 and CUDA 11.1</a></p>
+                <p><code class="docutils literal"><span class="pre">waikatodatamining/mmpretrain:1.2.0_cuda11.1</span></code></p>
+              </li>
+              <li>
+                <p><a class="reference external" href="https://github.com/waikato-datamining/mmpretrain/blob/master/1.2.0_cpu">MMPretrain 1.2.0, PyTorch 1.11 and CPU</a></p>
+                <p><code class="docutils literal"><span class="pre">waikatodatamining/mmpretrain:1.2.0_cpu</span></code></p>
+              </li>
+            </ul>
+          </li>
           <li>
             <p>Tensorflow (using our <a class="reference external" href="https://pypi.org/project/wai.tfimageclass/">wai.tfimageclass</a> Python library)</p>
             <ul>
diff --git a/pages/docker-images-inhouse.rst b/pages/docker-images-inhouse.rst
index 0ab51dd..0f04a4d 100644
--- a/pages/docker-images-inhouse.rst
+++ b/pages/docker-images-inhouse.rst
@@ -74,6 +74,19 @@ preparation, training and making predictions.
               </li>
             </ul>
           </li>
+          <li>
+            <p>PyTorch/MMPretrain (successor of MMClassification)</p>
+            <ul>
+              <li>
+                <p><a class="reference external" href="https://github.com/waikato-datamining/mmpretrain/blob/master/1.2.0_cuda11.1">MMPretrain 1.2.0, PyTorch 1.9 and CUDA 11.1</a></p>
+                <p><code class="docutils literal"><span class="pre">public.aml-repo.cms.waikato.ac.nz:443/open-mmlab/mmpretrain:1.2.0_cuda11.1</span></code></p>
+              </li>
+              <li>
+                <p><a class="reference external" href="https://github.com/waikato-datamining/mmpretrain/blob/master/1.2.0_cpu">MMPretrain 1.2.0, PyTorch 1.11 and CPU</a></p>
+                <p><code class="docutils literal"><span class="pre">public.aml-repo.cms.waikato.ac.nz:443/open-mmlab/mmpretrain:1.2.0_cpu</span></code></p>
+              </li>
+            </ul>
+          </li>
           <li>
             <p>Tensorflow (using our <a class="reference external" href="https://pypi.org/project/wai.tfimageclass/">wai.tfimageclass</a> Python library)</p>
             <ul>
diff --git a/posts/2024-03-14-mmpretrain_docker_120.rst b/posts/2024-03-14-mmpretrain_docker_120.rst
new file mode 100644
index 0000000..f9d2d34
--- /dev/null
+++ b/posts/2024-03-14-mmpretrain_docker_120.rst
@@ -0,0 +1,17 @@
+.. title: MMPretrain 1.2.0 Docker images available
+.. slug: 2024-03-14-mmpretrain-docker
+.. date: 2024-03-14 11:55:00 UTC+13:00
+.. tags: release
+.. category: docker
+.. link: 
+.. description: 
+.. type: text
+
+
+First Docker images are available for the `MMPretrain <https://github.com/open-mmlab/mmpretrain>`__
+framework, using the 1.2.0 release of MMPretrain (code base as of 2024-01-05):
+
+* `CUDA 11.1 <https://github.com/waikato-datamining/mmpretrain/tree/master/1.2.0_cuda11.1>`__
+* `CPU <https://github.com/waikato-datamining/mmpretrain/tree/master/1.2.0_cpu>`__
+
+**NB:** MMPretrain is the successor of MMClassification, which can be used for image classification.