graph generator now generates 4 graphs, with space for 4 more

benchmarks/graphGen.py

@@ -3,9 +3,8 @@ import subprocess
 import sys
 import json
 import plotly.graph_objects as go
+from plotly.subplots import make_subplots
 
-coremarkData = {}
-embenchData = {}
 debug = True
 
 def loadCoremark():
@@ -21,61 +20,85 @@ def loadCoremark():
     if (debug): print(coremarkData)
     return coremarkData
 
-def loadEmbench():
+def loadEmbench(embenchPath, embenchData):
     """loads the embench data dictionary"""
-    embenchPath = "embench/wallySpeed.json"
     f = open(embenchPath)
     embenchData = json.load(f)
     if (debug): print(embenchData)
     return embenchData
 
-def graphEmbench(embenchData):
+def graphEmbench(embenchSpeedOpt_SpeedData, embenchSizeOpt_SpeedData, embenchSpeedOpt_SizeData, embenchSizeOpt_SizeData):
-    ydata = list(embenchData["speed results"]["detailed speed results"].keys()) + ["speed geometric mean","speed geometric sd","speed geometric range"]
+    fig = make_subplots(rows=2, cols=4,
-    xdata = list(embenchData["speed results"]["detailed speed results"].values()) + [embenchData["speed results"]["speed geometric mean"],embenchData["speed results"]["speed geometric sd"],embenchData["speed results"]["speed geometric range"]]
+                        # subplot_titles( "Wally's Embench Cycles and Instret (with -O2)","Wally's Embench Cycles Per Instruction (with -O2)"))
-    fig = go.Figure(go.Bar(
+                        subplot_titles=( "Wally's Embench Cycles and Instret (with -O2)","Wally's Embench Cycles Per Instruction (with -O2)","Wally's Embench Speed Score (with -O2)","Wally's Embench Size Score (with -O2)",
+                                     "Wally's Embench Cycles and Instret (with -Os)","Wally's Embench Cycles Per Instruction (with -Os)","Wally's Embench Speed Score (with -Os)","Wally's Embench Size Score (with -Os)"))
+    
+    ydata = list(embenchSpeedOpt_SpeedData["speed results"]["detailed speed results"].keys()) + ["speed geometric mean","speed geometric sd","speed geometric range"]
+    xdata = list(embenchSpeedOpt_SpeedData["speed results"]["detailed speed results"].values()) + [embenchSpeedOpt_SpeedData["speed results"]["speed geometric mean"],embenchSpeedOpt_SpeedData["speed results"]["speed geometric sd"],embenchSpeedOpt_SpeedData["speed results"]["speed geometric range"]]
+
+    fig.add_trace( go.Bar(
             y=ydata,
             x=xdata,
-            orientation='h'))
+            textposition='outside', text=xdata,
+            orientation='h'),
+            row=1,col=3)
 
-    fig.show()
+    ydata = list(embenchSizeOpt_SpeedData["speed results"]["detailed speed results"].keys()) + ["speed geometric mean","speed geometric sd","speed geometric range"]
+    xdata = list(embenchSizeOpt_SpeedData["speed results"]["detailed speed results"].values()) + [embenchSizeOpt_SpeedData["speed results"]["speed geometric mean"],embenchSizeOpt_SpeedData["speed results"]["speed geometric sd"],embenchSizeOpt_SpeedData["speed results"]["speed geometric range"]]
+
+    fig.add_trace( go.Bar(
+            y=ydata,
+            x=xdata,
+            textposition='outside', text=xdata,
+            orientation='h'),
+            row=2,col=3)
+
+    
+    ydata = list(embenchSpeedOpt_SizeData["size results"]["detailed size results"].keys()) + ["size geometric mean","size geometric sd","size geometric range"]
+    xdata = list(embenchSpeedOpt_SizeData["size results"]["detailed size results"].values()) + [embenchSpeedOpt_SizeData["size results"]["size geometric mean"],embenchSpeedOpt_SizeData["size results"]["size geometric sd"],embenchSpeedOpt_SizeData["size results"]["size geometric range"]]
+
+    fig.add_trace( go.Bar(
+            y=ydata,
+            x=xdata,
+            textposition='outside', text=xdata,
+            orientation='h'),
+            row=1,col=4)
+
+    ydata = list(embenchSizeOpt_SizeData["size results"]["detailed size results"].keys()) + ["size geometric mean","size geometric sd","size geometric range"]
+    xdata = list(embenchSizeOpt_SizeData["size results"]["detailed size results"].values()) + [embenchSizeOpt_SizeData["size results"]["size geometric mean"],embenchSizeOpt_SizeData["size results"]["size geometric sd"],embenchSizeOpt_SizeData["size results"]["size geometric range"]]
+
+    fig.add_trace( go.Bar(
+            y=ydata,
+            x=xdata,
+            textposition='outside', text=xdata,
+            orientation='h'),
+            row=2,col=4)
+        
+    #         facet_row="Score", facet_col="Optimization Flag",
+    #         category_orders={"Score": ["Cycles & Instr", "CPI", "SpeedScore", "SizeScore"],
+    #                           "Optimization Flag": ["O2", "Os"]}),
+    #         orientation='h')
+    fig.update_layout(height=1500,width=4000, title_text="Wally Embench Scores", showlegend=False)
+
+    fig.write_image("figure.png", engine="kaleido")
+    # fig.show()
 
 
 def main():
-    coremarkData = loadCoremark()
+    coremarkData = {}
-    embenchData = loadEmbench()
+    embenchSizeOpt_SpeedData = {}
-    graphEmbench(embenchData)
+    embenchSpeedOpt_SpeedData = {}
+    embenchSizeOpt_SizeData = {}
+    embenchSpeedOpt_SizeData = {}
+    # coremarkData = loadCoremark()
+    embenchSpeedOpt_SpeedData = loadEmbench("embench/wallySpeedOpt_speed.json", embenchSpeedOpt_SpeedData)
+    embenchSizeOpt_SpeedData = loadEmbench("embench/wallySizeOpt_speed.json", embenchSizeOpt_SpeedData)
+    embenchSpeedOpt_SizeData = loadEmbench("embench/wallySpeedOpt_size.json", embenchSpeedOpt_SizeData)
+    embenchSizeOpt_SizeData = loadEmbench("embench/wallySizeOpt_size.json", embenchSizeOpt_SizeData)
+
+    graphEmbench(embenchSpeedOpt_SpeedData, embenchSizeOpt_SpeedData, embenchSpeedOpt_SizeData, embenchSizeOpt_SizeData)
 
 if __name__ == '__main__':
     sys.exit(main())
 
-# x = 
+# "ls -Art ../addins/embench-iot/logs/*speed* | tail -n 1 " # gets most recent embench speed log
-# y = 
-
-# df = px.data.tips()
-# fig = px.bar(df, x="total_bill", y="day", orientation='h')
-# fig.show()
-# import plotly.express as px
-
-
-# result = sp.run(['ls', '-l'], stdout=sp.PIPE)
-# result.stdout
-
-# fig = go.Figure( go.Bar(
-#                 x=[],
-#                 y=[],
-#                 color="species",
-#                 facet_col="species", 
-#                 title="Using update_traces() With Plotly Express Figures"),
-#                 orientation='h')
-
-# fig.show()
-
-#
-# "ls -Art ../addins/embench-iot/logs/*speed* | tail -n 1 " # gets most recent embench speed log
-# "ls -Art ../addins/embench-iot/logs/*size* | tail -n 1 " # gets most recent embench speed log
-
-## get coremark score
-
-# cat coremarkPath | grep "CoreMark 1.0" | cut -d ':' -f 2 | cut -d " " -f 2
-# cat coremarkPath | grep "MTIME" | cut -d ':' -f 2 | cut -d " " -f 2 | tail -1
-# cat coremarkPath | grep "MINSTRET" | cut -d ':' -f 2 | cut -d " " -f 2 | tail -1