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Aug 6, 2019
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Update README.md #39

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55 changes: 28 additions & 27 deletions README.md
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Expand Up @@ -12,33 +12,6 @@ If you find an issue, please [let us know](../..//issues)!
> Please note, this converter has limited coverage of TensorRT / PyTorch. We created it primarily
> to easily optimize the models used in the [JetBot](https://github.com/NVIDIA-AI-IOT/jetbot) project. If you find the converter helpful with other models, please [let us know](../..//issues).

## Setup

### Option 1 - Without plugins

To install without compiling plugins, call the following

```bash
git clone https://github.com/NVIDIA-AI-IOT/torch2trt
cd torch2trt
sudo python setup.py install
```

### Option 2 - With plugins (experimental)

To install with plugins to support some operations in PyTorch that are not natviely supported with TensorRT, call the following

> This currently only includes a plugin for ``torch.nn.functional.interpolate``

```bash
sudo apt-get install libprotobuf* protobuf-compiler ninja-build
git clone https://github.com/NVIDIA-AI-IOT/torch2trt
cd torch2trt
sudo python setup.py install --plugins
```

> torch2trt is tested against a system configured with the [JetCard](http://github.com/NVIDIA-AI-IOT/jetcard) setup. Different system configurations may require additional steps.

## Usage

Below are some usage examples, for more check out the [notebooks](notebooks).
Expand Down Expand Up @@ -123,6 +96,34 @@ We tested the converter against these models using the [test.sh](test.sh) script
| vgg19_bn | | | 51.4 | 121 |


## Setup

### Option 1 - Without plugins

To install without compiling plugins, call the following

```bash
git clone https://github.com/NVIDIA-AI-IOT/torch2trt
cd torch2trt
sudo python setup.py install
```

### Option 2 - With plugins (experimental)

To install with plugins to support some operations in PyTorch that are not natviely supported with TensorRT, call the following

> This currently only includes a plugin for ``torch.nn.functional.interpolate``

```bash
sudo apt-get install libprotobuf* protobuf-compiler ninja-build
git clone https://github.com/NVIDIA-AI-IOT/torch2trt
cd torch2trt
sudo python setup.py install --plugins
```

> torch2trt is tested against a system configured with the [JetCard](http://github.com/NVIDIA-AI-IOT/jetcard) setup. Different system configurations may require additional steps.


## How does it work?

This converter works by attaching conversion functions (like ``convert_ReLU``) to the original
Expand Down