fix readme

Signed-off-by: Vinh Nguyen <[email protected]>

Author: vinhngx

notebooks/README.md

@@ -0,0 +1,37 @@
+# Jupyter demo notebooks
+This folder contains demo notebooks for the TRTorch.
+
+## 1. Requirements
+
+The most convenient way to run these notebooks is via a docker container, which provides a self-contained, isolated and re-producible environment for all experiments. 
+
+First, clone the repository:
+
+```
+git clone https://github.com/NVIDIA/TRTorch
+```
+
+Next, build the NVIDIA TRTorch container:
+
+```
+docker build -t trtorch -f Dockerfile.notebook .  
+```
+
+Then launch the container with:
+
+```
+docker run --runtime=nvidia -it --rm --ipc=host --net=host trtorch 
+```
+where `/path/to/dataset` is the path on the host machine where the data was/is to be downloaded. More on data set preparation in the next section. `/path/to/results` is wher the trained model will be stored.
+
+Within the docker interactive bash session, start Jupyter with
+
+```
+jupyter notebook --allow-root --ip 0.0.0.0 --port 8888
+```
+
+Then open the Jupyter GUI interface on your host machine at http://localhost:8888. Within the container, this notebook itself is located at `/workspace/TRTorch/notebooks`.
+
+## 2. Notebook list
+
+- [LeNet-example.ipynb](LeNet-example.ipynb): simple example on a LeNet network.