[DOC] VTA installation & basic tutorials (#47)

vta/Makefile

@@ -63,6 +63,7 @@ doc:
 
 clean:
 	$(RM) -rf build lib bin *~ */*~ */*/*~ */*/*/*~ */*.o */*/*.o */*/*/*.o
+	$(RM) -rf cat.jpg quantize_graph.json quantize_params.pkl synset.txt
 
 
 -include build/*.d

vta/README.md

@@ -7,20 +7,27 @@ VTA(versatile tensor accelerator) is an open-source deep learning accelerator st
 It is not just an open-source hardware, but is an end to end solution that includes
 the entire software stack on top of VTA open-source hardware.
 
-
 The key features include:
 
 - Generic, modular open-source hardware
   - Streamlined workflow to deploy to FPGAs.
-  - Simulator support
-- Driver and JIT runtime for both simulated backend and FPGA.
+  - Simulator support to protoype compilation passes on regular workstations.
+- Driver and JIT runtime for both simulated and FPGA hardware backend.
 - End to end TVM stack integration
   - Direct optimization and deploy models from deep learning frameworks via TVM stack.
-  - Customized and extendible TVM compiler backend
-  - Flexible RPC support to ease the deployment, you can program it with python :)
+  - Customized and extendible TVM compiler backend.
+  - Flexible RPC support to ease the deployment, and program FPGAs with Python
 
 VTA is part of our effort on [TVM Stack](http://www.tvmlang.org/).
 
+VTA Installation
+----------------
+To get started with VTA, please follow the [Installation Guide](docs/how_to/install.md)
+
+ResNet-18 Inference Example
+---------------------------
+To offload ResNet-18 inference, follow the [ResNet-18 Guide](examples/resnet18/pynq/README.md)
+
 License
 -------
 © Contributors, 2018. Licensed under an [Apache-2.0](https://github.com/tmoreau89/vta/blob/master/LICENSE) license.

vta/apps/pynq_rpc/start_rpc_server.sh

@@ -1,4 +1,4 @@
 #!/bin/bash
-export PYTHONPATH=${PYTHONPATH}:/home/xilinx/vta/nnvm/tvm/python:/home/xilinx/vta/python
+export PYTHONPATH=${PYTHONPATH}:/home/xilinx/vta/tvm/python:/home/xilinx/vta/python
 export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/opt/python3.6/lib/python3.6/site-packages/pynq/drivers/
 python -m vta.exec.rpc_server