message: Reformatted the notebook README file
  Added headers and regrouped the notebook README file for easier
  navigation, per suggestion
diff: @@ -17,6 +17,8 @@ Next, navigate to the repo's root directory:
  cd Torch-TensorRT
  ```
  +### a. Using the NGC PyTorch container
  +
  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:
  @@ -29,12 +31,6 @@ 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
  @@ -50,12 +46,22 @@ If, however, you wish for your work in the notebooks to persist, use the
  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
  ```
  -If you're using a container built from source, run this instead:
  +### b. Building a Torch-TensorRT container from source
  +
  +Alternatively, to build the container from source, run
  +
  +```
  +docker build -t torch_tensorrt -f ./docker/Dockerfile .
  +```
  +
  +To run this container, enter the following command:
  ```
  docker run --gpus=all --rm -it -v $PWD:/Torch-TensorRT --net=host --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 torch_tensorrt:latest bash
  ```
  +### c. Running the notebooks inside the container
  +
  Within the docker interactive bash session, proceed to the notebooks.
  To use the notebooks which ship with the container, run
  