From f1e92660755d5f34a3185e755e58f2ca69bfb066 Mon Sep 17 00:00:00 2001
From: Alex Burlacu <alex.burlacu@clear.ml>
Date: Thu, 24 Aug 2023 19:03:24 +0300
Subject: [PATCH] Adjust docker image versions in a couple more places

---
 README.md         | 14 +++++++-------
 docs/clearml.conf |  4 ++--
 2 files changed, 9 insertions(+), 9 deletions(-)

diff --git a/README.md b/README.md
index b6d5f8a..361f4fb 100644
--- a/README.md
+++ b/README.md
@@ -230,20 +230,20 @@ Notice: with `--detached` flag, the *clearml-agent* will run in the background
 clearml-agent daemon --detached --queue default --docker
 ```
 
-Example: spin two agents, one per gpu on the same machine, with default `nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04`
+Example: spin two agents, one per gpu on the same machine, with default `nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04`
 docker:
 
 ```bash
-clearml-agent daemon --detached --gpus 0 --queue default --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04
-clearml-agent daemon --detached --gpus 1 --queue default --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04
+clearml-agent daemon --detached --gpus 0 --queue default --docker nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04
+clearml-agent daemon --detached --gpus 1 --queue default --docker nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04
 ```
 
 Example: spin two agents, pulling from dedicated `dual_gpu` queue, two GPUs per agent, with default 
-`nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04` docker:
+`nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04` docker:
 
 ```bash
-clearml-agent daemon --detached --gpus 0,1 --queue dual_gpu --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04
-clearml-agent daemon --detached --gpus 2,3 --queue dual_gpu --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04
+clearml-agent daemon --detached --gpus 0,1 --queue dual_gpu --docker nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04
+clearml-agent daemon --detached --gpus 2,3 --queue dual_gpu --docker nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04
 ```
 
 ##### Starting the ClearML Agent - Priority Queues
@@ -268,7 +268,7 @@ To stop a **ClearML Agent** running in the background, run the same command line
 appended. For example, to stop the first of the above shown same machine, single gpu agents:
 
 ```bash
-clearml-agent daemon --detached --gpus 0 --queue default --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04 --stop
+clearml-agent daemon --detached --gpus 0 --queue default --docker nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04 --stop
 ```
 
 ### How do I create an experiment on the ClearML Server? <a name="from-scratch"></a>
diff --git a/docs/clearml.conf b/docs/clearml.conf
index 637410a..bca728b 100644
--- a/docs/clearml.conf
+++ b/docs/clearml.conf
@@ -491,8 +491,8 @@ sdk {
 #  target_format: format used to encode contents before writing into the target file. Supported values are json,
 #                 yaml, yml and bytes (in which case the file will be written in binary mode). Default is text mode.
 #  overwrite: overwrite the target file in case it exists. Default is true.
-#  mode: set the file mode after writing. use an integer value or a string (e.g. 600 / 777 etc.)
-#
+#  mode: file-system mode to be applied to the file after its creation. The mode string will be parsed into an
+#        integer (e.g. "0o777" for -rwxrwxrwx)
 # Example:
 #   files {
 #     myfile1 {