Update version in documents to 20.03.1

triton-inference-server · May 27, 2020 · f5be8a7 · f5be8a7
1 parent 221ee61
commit f5be8a7
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diff --git a/docs/build.rst b/docs/build.rst
@@ -59,7 +59,7 @@ change directory to the root of the repo and checkout the release
 version of the branch that you want to build (or the master branch if
 you want to build the under-development version)::
 
-  $ git checkout r20.03
+  $ git checkout r20.03.1
 
 Then use docker to build::
 
@@ -106,7 +106,7 @@ CMake, change directory to the root of the repo and checkout the
 release version of the branch that you want to build (or the master
 branch if you want to build the under-development version)::
 
-  $ git checkout r20.03
+  $ git checkout r20.03.1
 
 Next you must build or install each framework backend you want to
 enable in the inference server, configure the inference server to

diff --git a/docs/client.rst b/docs/client.rst
@@ -74,7 +74,7 @@ want to build (or the master branch if you want to build the
 under-development version). The branch you use for the client build
 should match the version of the inference server you are using::
 
-  $ git checkout r20.03
+  $ git checkout r20.03.1
 
 Then, issue the following command to build the C++ client library and
 a Python wheel file for the Python client library::
@@ -112,7 +112,7 @@ of the repo and checkout the release version of the branch that you
 want to build (or the master branch if you want to build the
 under-development version)::
 
-  $ git checkout r20.03
+  $ git checkout r20.03.1
 
 Ubuntu 16.04 / Ubuntu 18.04
 ...........................

diff --git a/docs/install.rst b/docs/install.rst
@@ -51,7 +51,7 @@ the most recent version of CUDA, Docker, and nvidia-docker.
 After performing the above setup, you can pull the Triton Inference
 Server container using the following command::
 
-  docker pull nvcr.io/nvidia/tritonserver:20.03-py3
+  docker pull nvcr.io/nvidia/tritonserver:20.03.1-py3
 
-Replace *20.03* with the version of inference server that you want to
+Replace *20.03.1* with the version of inference server that you want to
 pull.
diff --git a/docs/quickstart.rst b/docs/quickstart.rst
@@ -58,7 +58,7 @@ following prerequisite steps:
   sure to select the r<xx.yy> release branch that corresponds to the
   version of the server you want to use::
 
-  $ git checkout r20.03
+  $ git checkout r20.03.1
 
 * Create a model repository containing one or more models that you
   want the inference server to serve. An example model repository is
@@ -112,7 +112,7 @@ GitHub repo and checkout the release version of the branch that you
 want to build (or the master branch if you want to build the
 under-development version)::
 
-  $ git checkout r20.03
+  $ git checkout r20.03.1
 
 Then use docker to build::
 

diff --git a/docs/run.rst b/docs/run.rst
@@ -62,7 +62,7 @@ sure to checkout the release version of the branch that corresponds to
 the server you are using (or the master branch if you are using a
 server build from master)::
 
-  $ git checkout r20.03
+  $ git checkout r20.03.1
   $ cd docs/examples
   $ ./fetch_models.sh
 
@@ -103,7 +103,7 @@ you pulled from NGC or built locally::
   $ nvidia-docker run --rm --shm-size=1g --ulimit memlock=-1 --ulimit stack=67108864 -p8000:8000 -p8001:8001 -p8002:8002 -v/path/to/model/repository:/models <tritonserver image name> tritonserver --model-repository=/models
 
 Where *<tritonserver image name>* will be something like
-**nvcr.io/nvidia/tritonserver:20.03-py3** if you :ref:`pulled the
+**nvcr.io/nvidia/tritonserver:20.03.1-py3** if you :ref:`pulled the
 container from the NGC registry
 <section-installing-prebuilt-containers>`, or **tritonserver** if
 you :ref:`built it from source <section-building>`.