chore: More README updates

Signed-off-by: Dheeraj Peri <[email protected]>

Author: peri044

core/plugins/README.md

@@ -31,10 +31,10 @@ auto interpolate_plugin = creator->createPlugin(name, &fc); // fc is the collect
 If you'd like to compile your plugin with Torch-TensorRT,
 
 - Add your implementation to the `impl` directory
-- Add a call `REGISTER_TRTORCH_PLUGINS(MyPluginCreator)`  to `register_plugins.cpp`. `MyPluginCreator` is the plugin creator class which creates your plugin. By adding this to `register_plugins.cpp`, your plugin will be initialized and accessible (added to TensorRT plugin registry) during the `libtorchtrt_plugins.so` library loading.
+- Add a call `REGISTER_TORCHTRT_PLUGIN(MyPluginCreator)`  to `register_plugins.cpp`. `MyPluginCreator` is the plugin creator class which creates your plugin. By adding this to `register_plugins.cpp`, your plugin will be initialized and accessible (added to TensorRT plugin registry) during the `libtorchtrt_plugins.so` library loading.
 - Update the `BUILD` file with the your plugin files and dependencies.
 - Implement a converter op which makes use of your plugin.
 
 Once you've completed the above steps, upon successful compilation of Torch-TensorRT library, your plugin should be available in  `libtorchtrt_plugins.so`.
 
-A sample runtime application on how to run a network with plugins can be found <a href="https://github.com/NVIDIA/Torch-TensorRT/tree/master/examples/trtorchrt_example" >here</a>
+A sample runtime application on how to run a network with plugins can be found <a href="https://github.com/NVIDIA/Torch-TensorRT/tree/master/examples/torchtrt_runtime_example" >here</a>

cpp/README.md

@@ -18,5 +18,5 @@ bazel build //cpp/lib:libtorchtrt.so -c opt
 ## Usage
 
 ``` c++
-#include "trtorch/trtorch.h"
+#include "torch_tensorrt/torch_tensorrt.h"
 ```

cpp/bin/torchtrtc/README.md

@@ -8,7 +8,7 @@ output two formats, either a TorchScript program with the TensorRT engine embedd
 the TensorRT engine itself as a PLAN file.
 
 All that is required to run the program after compilation is for C++ linking against libtorchtrt.so
-or in Python importing the trtorch package. All other aspects of using compiled modules are identical
+or in Python importing the torch_tensorrt package. All other aspects of using compiled modules are identical
 to standard TorchScript. Load with `torch.jit.load()` and run like you would run any other module.