Fixing scrip's path

README.md

@@ -16,9 +16,36 @@ We provide a fast optimization algorithm and a step-to-step guide on how to gene
 - [] Changes done to ScaleSim
 - [] Explanation of the testing result
 
-### Demos:
+### Demos
+The following demos use pre-generated datasets and topologies that can be found in:
 
-### Step-by-step guide:
+- [~/optimization_algo/topologies](~/optimization_algo/topologies/) contains all the topologies descriping their respective CNN structures
+- [~/optimization_algo/data_source](~/optimization_algo/data_source/) contains all the cycle-accurate data generated using [SCALE sim]()
+
+The instruction below will do a sweep run on each of the following networks:
+   - FasterRCNN
+   - Mobilenet
+   - Yolo tiny
+   - Googlenet
+   - Alexnet
+   - AlphaGoZero
+   - NCF_rec
+   - Resnet_50_v1
+
+To run individual 
+
+To get optimization result with 
+1. CMA
+    ```bash
+    # cd optimization_algo/scripts
+    # ./sweep_nets_cma.sh
+    ```
+
+2. Brute Force
+    ```bash
+    # cd optimization_algo/scripts
+    # ./sweep_nets_.sh
+    ```
 
 #### Custom topologies
 #### Custom target board

optimization_algo/approaches/brute_force_approach.py

 import sys
 import time
 import csv
+import path_constant as pc
 
 from tqdm import tqdm
 from itertools import combinations
@@ -172,7 +173,7 @@ if __name__ == "__main__":
         number_of_partition = k,
 
         max_res_available = max_res_unit, initial_res = 0, 
-        res_step = 1,
+        res_step = 1
     )
 
     # bf.generate_gene()

optimization_algo/approaches/cma_approach.py

@@ -49,7 +49,7 @@ class cma_approach(object):
 
     def parse_topology_file(self):
         layers = []
-        with open(self.topology_file, 'r') as f:
+        with open(pc.TOPOLOGIES_PATH+self.topology_file, 'r') as f:
             next(f)
             for line in f:
                 elems = line.strip().split(',')
@@ -62,7 +62,7 @@ class cma_approach(object):
     def parse_data_set_file(self, path_to_data_csv):
         first = True
         target_idx = 2
-        with open(path_to_data_csv, 'r') as f:
+        with open(pc.DATA_SOURCE_PATH+path_to_data_csv, 'r') as f:
             for line in f:
                 elems = line.strip().split(',')
                 # print(elems)
@@ -378,8 +378,8 @@ if __name__ == "__main__":
     target_col = sys.argv[6]
 
     es_hybird = cma_approach(
-        path_to_datasrc = pc.DATA_SOURCE_PATH+str(topology)+"_mem_bound.csv",
-        path_to_topology = pc.TOPOLOGIES_PATH+str(topology)+".csv",
+        path_to_datasrc = str(topology)+"_mem_bound.csv",
+        path_to_topology = str(topology)+".csv",
         target_col = str(target_col),
 
         number_of_partition = k, max_iteration = 10000,

optimization_algo/scripts/brute_force_parallel.sh

@@ -10,13 +10,13 @@ do
     for res_unit in 960;
     do
         for target in DRAM_cycle;
-    do
+        do
             echo $net $partitions $target
             python3 brute_force_approach.py \
                 ${net} \
                 ${partitions} \
                 ${res_unit} \
                 ${target}
-    done
+        done
     done
 done
\ No newline at end of file

optimization_algo/scripts/sweep_nets_brute.sh

@@ -14,7 +14,7 @@ do
             for target in DRAM_cycle;
 	    do
                 echo $net $partitions $target
-                python3 brute_force_approach.py \
+                python3 ../approaches/brute_force_approach.py \
                     ${net} \
                     ${partitions} \
                     ${res_unit} \

optimization_algo/scripts/sweep_nets_cma.sh

@@ -24,16 +24,16 @@ do
                 for res_unit in 960;
                 do
                     for target in DRAM_cycle Cycles;
-	            do
-                        echo $net $partitions $strategy
-                        python3 ../approaches/cma_approach.py \
-                            ${net} \
-                            ${partitions} \
-                            ${popsize} \
-                            ${res_unit} \
-                            ${strategy} \
-			    ${target}
-		    done
+                    do
+                    echo $net $partitions $strategy
+                    python3 ../approaches/cma_approach.py \
+                        ${net} \
+                        ${partitions} \
+                        ${popsize} \
+                        ${res_unit} \
+                        ${strategy} \
+                        ${target}
+                    done
                 done
             done
         done