[MXNET-1121] Example to demonstrate the inference workflow using RNN

cpp-package/README.md

@@ -8,7 +8,7 @@ The users of these bindings are required to build this package as mentioned belo
 The cpp-package directory contains the implementation of C++ API. As mentioned above, users are required to build this directory or package before using it.
 **The cpp-package is built while building the MXNet shared library, *libmxnet.so*.**
 
-###Steps to build the C++ package:
+### Steps to build the C++ package:
 1.  Building the MXNet C++ package requires building MXNet from source.
 2.  Clone the MXNet GitHub repository **recursively** to ensure the code in submodules is available for building MXNet.
 	```
@@ -17,10 +17,10 @@ The cpp-package directory contains the implementation of C++ API. As mentioned a
 
 3.  Install the [prerequisites](<https://mxnet.incubator.apache.org/install/build_from_source#prerequisites>), desired [BLAS libraries](<https://mxnet.incubator.apache.org/install/build_from_source#blas-library>) and optional [OpenCV, CUDA, and cuDNN](<https://mxnet.incubator.apache.org/install/build_from_source#optional>) for building MXNet from source.
 4.  There is a configuration file for make, [make/config.mk](<https://github.com/apache/incubator-mxnet/blob/master/make/config.mk>) that contains all the compilation options. You can edit this file and set the appropriate options prior to running the **make** command.
-5.  Please refer to  [platform specific build instructions](<https://mxnet.incubator.apache.org/install/build_from_source#build-instructions-by-operating-system>) and available [build configurations](https://mxnet.incubator.apache.org/install/build_from_source#build-configurations) for more details. 
+5.  Please refer to  [platform specific build instructions](<https://mxnet.incubator.apache.org/install/build_from_source#build-instructions-by-operating-system>) and available [build configurations](https://mxnet.incubator.apache.org/install/build_from_source#build-configurations) for more details.
 5.  For enabling the build of C++ Package, set the **USE\_CPP\_PACKAGE = 1** in [make/config.mk](<https://github.com/apache/incubator-mxnet/blob/master/make/config.mk>). Optionally, the compilation flag can also be specified on **make** command line as follows.
 	```
-	make -j USE_CPP_PACKAGE=1 
+	make -j USE_CPP_PACKAGE=1
 	```
 
 ## Usage
@@ -42,5 +42,4 @@ A basic tutorial can be found at <https://mxnet.incubator.apache.org/tutorials/c
 
 ## Examples
 
-The example directory contains examples for you to get started.
-
+The example directory contains examples for you to get started. Please build the MXNet C++ Package before building the examples.

cpp-package/example/README.md

@@ -3,7 +3,8 @@
 ## Building C++ examples
 
 The examples in this folder demonstrate the **training** workflow. The **inference workflow** related examples can be found in [inference](<https://github.com/apache/incubator-mxnet/blob/master/cpp-package/example/inference>) folder.
-The examples in this folder are built while building the MXNet library and cpp-package from source . However, they can be built manually as follows
+Please build the MXNet C++ Package as explained in the [README](<https://github.com/apache/incubator-mxnet/tree/master/cpp-package#building-c-package>) File before building these examples manually.
+The examples in this folder are built while building the MXNet library and cpp-package from source. However, they can be built manually as follows
 
 From cpp-package/examples directory
 

cpp-package/example/inference/README.md

@@ -39,3 +39,48 @@ Alternatively, The script [unit_test_inception_inference.sh](<https://github.com
 ```
 ./unit_test_inception_inference.sh
 ```
+
+### [simple_rnn.cpp](<https://github.com/apache/incubator-mxnet/blob/master/cpp-package/example/inference/simple_rnn.cpp>)
+This example demonstrates sequence prediction workflow with pre-trained RNN model using MXNet C++ API. The purpose of this example is to demonstrate how a pre-trained RNN model can be loaded and used to generate an output sequence using C++ API.
+The example performs following tasks
+- Load the pre-trained RNN model.
+- Load the dictionary file that contains word to index mapping.
+- Convert the input string to vector of indices and padded to match the input data length.
+- Run the forward pass and predict the output string.
+
+The example uses a pre-trained RNN model that is trained with the dataset containing speeches given by Obama.
+The model consists of :
+- Embedding Layer with the size of embedding to be 650
+- 3 LSTM Layers with hidden dimension size of 650 and sequence length of 35
+- FullyConnected Layer
+- SoftmaxOutput
+The model was trained for 100 epochs.
+
+The model files can be found here.
+- [obama-speaks-symbol.json](<https://s3.amazonaws.com/mxnet-cpp/RNN_model/obama-speaks-symbol.json>)
+- [obama-speaks-0100.params](<https://s3.amazonaws.com/mxnet-cpp/RNN_model/obama-speaks-0100.params>)
+- [obama.dictionary.txt](<https://s3.amazonaws.com/mxnet-cpp/RNN_model/obama.dictionary.txt>) Each line of the dictionary file contains a word and a unique index for that word, separated by a space, with a total of 14293 words generated from the training dataset.
+The example downloads the above files while running.
+
+The example's command line parameters are as shown below:
+
+```
+./simple_rnn --help
+Usage:
+simple_rnn
+[--input] Input string sequence.
+[--gpu]  Specify this option if workflow needs to be run in gpu context.
+
+./simple_rnn
+
+or
+
+./simple_rnn --input "Good morning. I appreciate the opportunity to speak here"
+```
+
+The example will output the seqence of 35 words as follows:
+```
+[waters elected Amendment Amendment Amendment Amendment retirement maximize maximize maximize acr citi sophisticatio sophisticatio sophisticatio sophisticatio sophisticatio sophisticatio sophisticatio sophisticatio sophisticatio sophisticatio sophisticatio sophisticatio sophisticatio sophisticatio sophisticatio sophisticatio sophisticatio sophisticatio sophisticatio sophisticatio sophisticatio sophisticatio sophisticatio ]
+```
+
+Alternatively, user can run [unit_test_simple_rnn.sh](<https://github.com/apache/incubator-mxnet/blob/master/cpp-package/example/inference/unit_test_simple_rnn.sh>) script.