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Posted to commits@singa.apache.org by zh...@apache.org on 2023/04/18 13:32:25 UTC

[singa-doc] branch master updated: 23-4-15-download page for v4.0.0

This is an automated email from the ASF dual-hosted git repository.

zhaojing pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/singa-doc.git


The following commit(s) were added to refs/heads/master by this push:
     new d129d1f  23-4-15-download page for v4.0.0
     new 94d9d3e  Merge pull request #68 from lzjpaul/23-4-15-download-page
d129d1f is described below

commit d129d1fe4df09c645caf446c0b9c20fe4d019319
Author: zhaojing <zh...@comp.nus.edu.sg>
AuthorDate: Tue Apr 18 21:27:33 2023 +0800

    23-4-15-download page for v4.0.0
---
 docs-site/docs/download.md                         | 42 ++++++++++++++++++--
 .../versioned_docs/version-4.0.0}/download.md      | 45 ++++++++++++++++++++--
 2 files changed, 80 insertions(+), 7 deletions(-)

diff --git a/docs-site/docs/download.md b/docs-site/docs/download.md
index 62bbcb8..85b064e 100644
--- a/docs-site/docs/download.md
+++ b/docs-site/docs/download.md
@@ -18,11 +18,47 @@ the following commands
 
 You can also check the SHA512 or MD5 values to see if the download is completed.
 
+## V4.0.0 (07 April 2023):
+
+- [Apache SINGA 4.0.0](http://www.apache.org/dyn/closer.cgi/singa/4.0.0/apache-singa-4.0.0.tar.gz)
+  [\[SHA512\]](https://www.apache.org/dist/singa/4.0.0/apache-singa-4.0.0.tar.gz.sha512)
+  [\[ASC\]](https://www.apache.org/dist/singa/4.0.0/apache-singa-4.0.0.tar.gz.asc)
+- [Release Notes 4.0.0](http://singa.apache.org/docs/releases/RELEASE_NOTES_4.0.0)
+- Major changes:
+  * Enhance distributed training
+    - Add support for configuration of number of GPUs to be used.
+    - Increase max epoch for better convergence.
+    - Print intermediate mini-batch information.
+    - Add support for switching between CPU and GPU devices.
+
+  * Enhance example code
+    - Update the args of normalize forward function in the transforms of the BloodMnist example.
+    - Update the xceptionnet in the cnn example.
+    - Add arguments for weight decay, momentum and learning rates in the cnn example.
+    - Add training scripts for more datasets and model types in the cnn example.
+    - Add resnet dist version for the large dataset cnn example.
+    - Add cifar 10 multi process for the large dataset cnn example.
+    - Add sparsification implementation for mnist in the large dataset cnn example.
+    - Update the cifar datasets downloading to local directories.
+    - Extend the cifar datasets load function for customized directorires.
+
+  * Enhance the webpage
+    - Update online documentation for distributed training.
+
+  * Promote code quality
+    - Update inline comments for prepreocessing and data loading
+
+  * Update the PIL image module
+
+  * Update the runtime Dockerfile
+
+  * Update the conda files
+
 ## V3.3.0 (07 June 2022):
 
-- [Apache SINGA 3.3.0](http://www.apache.org/dyn/closer.cgi/singa/3.3.0/apache-singa-3.3.0.tar.gz)
-  [\[SHA512\]](https://www.apache.org/dist/singa/3.3.0/apache-singa-3.3.0.tar.gz.sha512)
-  [\[ASC\]](https://www.apache.org/dist/singa/3.3.0/apache-singa-3.3.0.tar.gz.asc)
+- [Apache SINGA 3.3.0](https://archive.apache.org/dist/singa/3.3.0/apache-singa-3.3.0.tar.gz)
+  [\[SHA512\]](https://archive.apache.org/dist/singa/3.3.0/apache-singa-3.3.0.tar.gz.sha512)
+  [\[ASC\]](https://archive.apache.org/dist/singa/3.3.0/apache-singa-3.3.0.tar.gz.asc)
 - [Release Notes 3.3.0](http://singa.apache.org/docs/releases/RELEASE_NOTES_3.3.0)
 - Major changes:
   * New examples
diff --git a/docs-site/docs/download.md b/docs-site/website/versioned_docs/version-4.0.0/download.md
similarity index 88%
copy from docs-site/docs/download.md
copy to docs-site/website/versioned_docs/version-4.0.0/download.md
index 62bbcb8..c0bf7ad 100644
--- a/docs-site/docs/download.md
+++ b/docs-site/website/versioned_docs/version-4.0.0/download.md
@@ -1,6 +1,7 @@
 ---
-id: downloads
+id: version-4.0.0-downloads
 title: Download SINGA
+original_id: downloads
 ---
 
 <!--- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements.  See the NOTICE file distributed with this work for additional information regarding copyright ownership.  The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License.  You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agree [...]
@@ -18,11 +19,47 @@ the following commands
 
 You can also check the SHA512 or MD5 values to see if the download is completed.
 
+## V4.0.0 (07 April 2023):
+
+- [Apache SINGA 4.0.0](http://www.apache.org/dyn/closer.cgi/singa/4.0.0/apache-singa-4.0.0.tar.gz)
+  [\[SHA512\]](https://www.apache.org/dist/singa/4.0.0/apache-singa-4.0.0.tar.gz.sha512)
+  [\[ASC\]](https://www.apache.org/dist/singa/4.0.0/apache-singa-4.0.0.tar.gz.asc)
+- [Release Notes 4.0.0](http://singa.apache.org/docs/releases/RELEASE_NOTES_4.0.0)
+- Major changes:
+  * Enhance distributed training
+    - Add support for configuration of number of GPUs to be used.
+    - Increase max epoch for better convergence.
+    - Print intermediate mini-batch information.
+    - Add support for switching between CPU and GPU devices.
+
+  * Enhance example code
+    - Update the args of normalize forward function in the transforms of the BloodMnist example.
+    - Update the xceptionnet in the cnn example.
+    - Add arguments for weight decay, momentum and learning rates in the cnn example.
+    - Add training scripts for more datasets and model types in the cnn example.
+    - Add resnet dist version for the large dataset cnn example.
+    - Add cifar 10 multi process for the large dataset cnn example.
+    - Add sparsification implementation for mnist in the large dataset cnn example.
+    - Update the cifar datasets downloading to local directories.
+    - Extend the cifar datasets load function for customized directorires.
+
+  * Enhance the webpage
+    - Update online documentation for distributed training.
+
+  * Promote code quality
+    - Update inline comments for prepreocessing and data loading
+
+  * Update the PIL image module
+
+  * Update the runtime Dockerfile
+
+  * Update the conda files
+
 ## V3.3.0 (07 June 2022):
 
-- [Apache SINGA 3.3.0](http://www.apache.org/dyn/closer.cgi/singa/3.3.0/apache-singa-3.3.0.tar.gz)
-  [\[SHA512\]](https://www.apache.org/dist/singa/3.3.0/apache-singa-3.3.0.tar.gz.sha512)
-  [\[ASC\]](https://www.apache.org/dist/singa/3.3.0/apache-singa-3.3.0.tar.gz.asc)
+- [Apache SINGA 3.3.0](https://archive.apache.org/dist/singa/3.3.0/apache-singa-3.3.0.tar.gz)
+  [\[SHA512\]](https://archive.apache.org/dist/singa/3.3.0/apache-singa-3.3.0.tar.gz.sha512)
+  [\[ASC\]](https://archive.apache.org/dist/singa/3.3.0/apache-singa-3.3.0.tar.gz.asc)
 - [Release Notes 3.3.0](http://singa.apache.org/docs/releases/RELEASE_NOTES_3.3.0)
 - Major changes:
   * New examples