Update README.md

Author: JewelRoam

README.md

@@ -63,22 +63,24 @@ model = ...
 
 # Extract your own model
 model = graph_net.torch.extract(name="model_name", dynamic="True")(model)
-
-# After running, the extracted graph will be saved to:
-#   $GRAPH_NET_EXTRACT_WORKSPACE/model_name/
 ```
 
-For details, see docstring of `graph_net.torch.extract` defined in `graph_net/torch/extractor.py`.
+After running, the extracted graph will be saved to: `$GRAPH_NET_EXTRACT_WORKSPACE/model_name/`.
+
+For more details, see docstring of `graph_net.torch.extract` defined in `graph_net/torch/extractor.py`.
 
 **Step 2: graph_net.torch.validate**
 
-To verify that the extracted model meets requirements, we use `graph_net.torch.validate` in CI tool and ask contributors to self-check in advance:
+To verify that the extracted model meets requirements in **construction constraints**, we use `graph_net.torch.validate` in CI tool and also ask contributors to self-check in advance:
 
 ```bash
 python -m graph_net.torch.validate \
   --model-path $GRAPH_NET_EXTRACT_WORKSPACE/model_name
 ```
 
+A unique `graph_hash.txt` will be generated after validation and examined in CI procedure to avoid redundant.
+
+
 ## ⚖️ Compiler Evaluation
 
 **Step 1: Benchmark**