Augmented the notebook README file

Added instructions to help users choose from the following 3 options:
1. Run the notebooks as provided in the NGC PyTorch container
2. Mount the repo to the NGC PyTorch container, then run the repo
notebooks
3. Build the container from source, mount the repo to that container,
then run the repo notebooks

Signed-off-by: Sven Chilton <[email protected]>

Author: svenchilton

notebooks/README.md

@@ -17,16 +17,61 @@ Next, navigate to the repo's root directory:
 cd Torch-TensorRT
 ```
 
-Then launch the container with:
+At this point, we recommend pulling the [PyTorch container](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/pytorch) 
+from [NVIDIA GPU Cloud](https://catalog.ngc.nvidia.com/) as follows: 
+
+```
+docker pull nvcr.io/nvidia/pytorch:21.12-py3
+```
+
+Replace ```21.12``` with a different string in the form ```yy.mm```, 
+where ```yy``` indicates the last two numbers of a calendar year, and 
+```mm``` indicates the month in two-digit numerical form, if you wish 
+to pull a different version of the container. 
+
+Alternatively, to build the container from source, run 
+
+```
+docker build -t torch_tensorrt -f ./docker/Dockerfile .
+```
+
+The NGC PyTorch container ships with the Torch-TensorRT tutorial notebooks. 
+Therefore, you can run the container and the notebooks therein without 
+mounting the repo to the container. To do so, run 
+
+```
+docker run --gpus=all --rm -it --net=host --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 nvcr.io/nvidia/pytorch:21.12-py3 bash
+```
+
+If, however, you wish for your work in the notebooks to persist, use the 
+```-v``` flag to mount the repo to the container as follows: 
 
 ```
 docker run --gpus=all --rm -it -v $PWD:/Torch-TensorRT --net=host --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 nvcr.io/nvidia/pytorch:21.12-py3 bash
 ```
 
-Within the docker interactive bash session, start Jupyter with
+If you're using a container built from source, run this instead:  
+
+```
+docker run --gpus=all --rm -it -v $PWD:/Torch-TensorRT --net=host --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 torch_tensorrt:latest bash
+```
+
+Within the docker interactive bash session, proceed to the notebooks. 
+To use the notebooks which ship with the container, run 
+
+```
+cd /workspace/examples/torch_tensorrt/notebooks
+```
+
+If, however, you mounted the repo to the container, run 
 
 ```
 cd /Torch-TensorRT/notebooks
+```
+
+Once you have entered the appropriate ```notebooks``` directory, start Jupyter with
+
+```
 jupyter notebook --allow-root --ip 0.0.0.0 --port 8888
 ```