Update CLI and most docs to use multi-model-server

Author: alexwong

.github/PULL_REQUEST_TEMPLATE.md

@@ -6,6 +6,6 @@ Before or while filing an issue please feel free to join our [<img src='../docs/
 
 ## Testing done:
 
-**To run CI tests on your changes refer [README.md](https://github.com/awslabs/mxnet-model-server/blob/master/ci/README.md)**
+**To run CI tests on your changes refer [README.md](https://github.com/awslabs/multi-model-server/blob/master/ci/README.md)**
 
 By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

PyPiDescription.rst

@@ -9,7 +9,7 @@ Use the MMS Server CLI, or the pre-configured Docker images, to start a
 service that sets up HTTP endpoints to handle model inference requests.
 
 Detailed documentation and examples are provided in the `docs
-folder <https://github.com/awslabs/mxnet-model-server/blob/master/docs/README.md>`__.
+folder <https://github.com/awslabs/multi-model-server/blob/master/docs/README.md>`__.
 
 Prerequisites
 -------------
@@ -60,24 +60,24 @@ Installation
 
 ::
 
-    pip install mxnet-model-server
+    pip install multi-model-server
 
 Development
 -----------
 
 We welcome new contributors of all experience levels. For information on
 how to install MMS for development, refer to the `MMS
-docs <https://github.com/awslabs/mxnet-model-server/blob/master/docs/install.md>`__.
+docs <https://github.com/awslabs/multi-model-server/blob/master/docs/install.md>`__.
 
 Important links
 ---------------
 
 -  `Official source code
-   repo <https://github.com/awslabs/mxnet-model-server>`__
+   repo <https://github.com/awslabs/multi-model-server>`__
 -  `Download
-   releases <https://pypi.org/project/mxnet-model-server/#files>`__
+   releases <https://pypi.org/project/multi-model-server/#files>`__
 -  `Issue
-   tracker <https://github.com/awslabs/mxnet-model-server/issues>`__
+   tracker <https://github.com/awslabs/multi-model-server/issues>`__
 
 Source code
 -----------
@@ -86,24 +86,24 @@ You can check the latest source code as follows:
 
 ::
 
-    git clone https://github.com/awslabs/mxnet-model-server.git
+    git clone https://github.com/awslabs/multi-model-server.git
 
 Testing
 -------
 
 After installation, try out the MMS Quickstart for
 
-- `Serving a Model <https://github.com/awslabs/mxnet-model-server/blob/master/README.md#serve-a-model>`__
-- `Create a Model Archive <https://github.com/awslabs/mxnet-model-server/blob/master/README.md#model-archive>`__.
+- `Serving a Model <https://github.com/awslabs/multi-model-server/blob/master/README.md#serve-a-model>`__
+- `Create a Model Archive <https://github.com/awslabs/multi-model-server/blob/master/README.md#model-archive>`__.
 
 Help and Support
 ----------------
 
--  `Documentation <https://github.com/awslabs/mxnet-model-server/blob/master/docs/README.md>`__
+-  `Documentation <https://github.com/awslabs/multi-model-server/blob/master/docs/README.md>`__
 -  `Forum <https://discuss.mxnet.io/latest>`__
 
 Citation
 --------
 
 If you use MMS in a publication or project, please cite MMS:
-https://github.com/awslabs/mxnet-model-server
+https://github.com/awslabs/multi-model-server

README.md

@@ -24,7 +24,7 @@ Join our [<img src='docs/images/slack.png' width='20px' /> slack channel](https:
 
 ## Other Relevant Documents
 * [Latest Version Docs](docs/README.md)
-* [v0.4.0 Docs](https://github.com/awslabs/mxnet-model-server/blob/v0.4.0/docs/README.md)
+* [v0.4.0 Docs](https://github.com/awslabs/multi-model-server/blob/v0.4.0/docs/README.md)
 * [Migrating from v0.4.0 to v1.0.0](docs/migration.md)
 
 ## Quick Start
@@ -96,11 +96,11 @@ pip install mxnet-cu92mkl
 **Step 3:** Install or Upgrade MMS as follows:
 
 ```bash
-# Install latest released version of mxnet-model-server 
-pip install mxnet-model-server
+# Install latest released version of multi-model-server 
+pip install multi-model-server
 ```
 
-To upgrade from a previous version of `mxnet-model-server`, please refer [migration reference](docs/migration.md) document.
+To upgrade from a previous version of `multi-model-server`, please refer [migration reference](docs/migration.md) document.
 
 **Notes:**
 * A minimal version of `model-archiver` will be installed with MMS as dependency. See [model-archiver](model-archiver/README.md) for more options and details.
@@ -111,14 +111,14 @@ To upgrade from a previous version of `mxnet-model-server`, please refer [migrat
 Once installed, you can get MMS model server up and running very quickly. Try out `--help` to see all the CLI options available.
 
 ```bash
-mxnet-model-server --help
+multi-model-server --help
 ```
 
 For this quick start, we'll skip over most of the features, but be sure to take a look at the [full server docs](docs/server.md) when you're ready.
 
 Here is an easy example for serving an object classification model:
 ```bash
-mxnet-model-server --start --models squeezenet=https://s3.amazonaws.com/model-server/model_archive_1.0/squeezenet_v1.1.mar
+multi-model-server --start --models squeezenet=https://s3.amazonaws.com/model-server/model_archive_1.0/squeezenet_v1.1.mar
 ```
 
 With the command above executed, you have MMS running on your host, listening for inference requests. **Please note, that if you specify model(s) during MMS start - it will automatically scale backend workers to the number equal to available vCPUs (if you run on CPU instance) or to the number of available GPUs (if you run on GPU instance). In case of powerful hosts with a lot of compute resoures (vCPUs or GPUs) this start up and autoscaling process might take considerable time. If you would like to minimize MMS start up time you can try to avoid registering and scaling up model during start up time and move that to a later point by using corresponding [Management API](docs/management_api.md#register-a-model) calls (this allows finer grain control to how much resources are allocated for any particular model).**
@@ -170,9 +170,9 @@ Now you've seen how easy it can be to serve a deep learning model with MMS! [Wou
 ### Stopping the running model server
 To stop the current running model-server instance, run the following command:
 ```bash
-$ mxnet-model-server --stop
+$ multi-model-server --stop
 ```
-You would see output specifying that mxnet-model-server has stopped.
+You would see output specifying that multi-model-server has stopped.
 
 ### Create a Model Archive
 

benchmarks/README.md

@@ -26,10 +26,10 @@ The benchmarking script requires the following to run:
 
 ## Models
 
-The pre-loaded models for the benchmark can be mostly found in the [MMS model zoo](https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md).  We currently support the following:
-- [resnet: ResNet-18 (Default)](https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md#resnet-18)
-- [squeezenet: SqueezeNet V1.1](https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md#squeezenet_v1.1)
-- [lstm: lstm-ptb](https://github.com/awslabs/mxnet-model-server/blob/master/docs/model_zoo.md#lstm-ptb)
+The pre-loaded models for the benchmark can be mostly found in the [MMS model zoo](https://github.com/awslabs/multi-model-server/blob/master/docs/model_zoo.md).  We currently support the following:
+- [resnet: ResNet-18 (Default)](https://github.com/awslabs/multi-model-server/blob/master/docs/model_zoo.md#resnet-18)
+- [squeezenet: SqueezeNet V1.1](https://github.com/awslabs/multi-model-server/blob/master/docs/model_zoo.md#squeezenet_v1.1)
+- [lstm: lstm-ptb](https://github.com/awslabs/multi-model-server/blob/master/docs/model_zoo.md#lstm-ptb)
 - [noop: noop-v1.0](https://s3.amazonaws.com/model-server/models/noop/noop-v1.0.model) Simple Noop model which returns "Hello world" to any input specified.
 - [noop_echo: noop_echo-v1.0](https://s3.amazonaws.com/model-server/models/noop/noop_echo-v1.0.model) Simple Noop model which returns whatever input is given to it.
 

ci/README.md

@@ -22,7 +22,7 @@ Following files in this folder is used to create the docker images
 To make it easy for developer debug build issue locally, MMS support AWS codebuild local.
 Developer can use following command to build MMS locally:
 ```bash
-$ cd mxnet-model-server
+$ cd multi-model-server
 $ ./run_ci_tests.sh
 ```
 

ci/buildspec.yml

@@ -25,7 +25,7 @@ phases:
       - cd model-archiver/ && python -m pytest model_archiver/tests/unit_tests && cd ../
       - cd model-archiver/ && python -m pytest model_archiver/tests/integ_tests && cd ../
       - cd serving-sdk/ && mvn clean deploy && cd ../
-      # integration test is broken: https://github.com/awslabs/mxnet-model-server/issues/437
+      # integration test is broken: https://github.com/awslabs/multi-model-server/issues/437
       #- python -m pytest mms/tests/integration_tests
       - pylint -rn --rcfile=./mms/tests/pylintrc mms/.
       - cd model-archiver/ && pylint -rn --rcfile=./model_archiver/tests/pylintrc model_archiver/. && cd ../