adding README

part2/README.md

+# Efficient inference: Model compression and hls4ml
+
+In this part, we will start from the data and model you trained in Part 1. We will train a new model quantization aware using QKeras, compare the model performance to that of Part 1 and build the FPGA firmware of this quantized, sparse model using hls4ml.
+
+We assume that you have already participated in Part 1, but if you have not, you can copy the neccessary files from
+```/eos/home-t/thaarres/cms_mlatl1t_tutorial/part1/```
+
+Assuming you have already followed the setup instructions (```bash start_notebooks.sh```), go ahead and run through ```part2_compression.ipynb```!

setup.sh

@@ -29,5 +29,4 @@ cd $SCRIPT_DIR
 
 # put the HLS tools on the PATH
 echo "ML@L1T Setup: prepending $SCRIPT_DIR/bin to PATH"
-export PATH=$SCRIPT_DIR/bin:$PATH
-export MLATL1T_DIR=$SCRIPT_DIR
\ No newline at end of file
+export PATH=$SCRIPT_DIR/bin:$PATH
\ No newline at end of file