Change tune.py for benchmarks

tune.py

@@ -1,30 +1,31 @@
 import subprocess
 import os
-import datetime
 from operator import itemgetter
 
 workGroupSizes = [2**(x+3) for x in range(5)]
 workPerThreads = [2**(x+1) for x in range(7)]
 
 matrixSize = 1024
-kernels = ['k2', 'k3', 'k4']
+kernels = ['k3', 'k4']
 semiring = 'arithmetic'
 numToRun = 10
-platform = 'nvidia'
-types = ['mt-byte', 'mt-int', 'mt-float32', 'mt-float64']
+platform = 'anygpu'
+types = ['mt-float32']
 
 out_directory = 'tuning_results'
 
 if not os.path.exists(out_directory):
     os.makedirs(out_directory)
 
 for kernel in kernels:
-    for matrixType in types: 
+    for matrixType in types:
         res = []
         print(f'Tuning for {matrixType} and kernel {kernel} started.')
         for wgs in workGroupSizes:
             for wpt in workPerThreads:
-                try: 
+                if wgs < wpt:
+                    continue
+                try:
                     cmd = f'dotnet ./src/MatrixMultiplication/bin/Release/net9.0/MatrixMultiplication.dll --platform {platform} --kernel {kernel} --matrixsize {matrixSize} --matrixtype {matrixType} --semiring {semiring} --numtorun {numToRun} --workperthread {wpt} --workgroupsize {wgs}'
                     output = subprocess.check_output([cmd],shell=True)
                     output = output.decode("utf-8")
@@ -35,8 +36,8 @@
                 except BaseException: ()
 
         res = sorted(res, key=itemgetter(2))
-        f = open(os.path.join(out_directory,f'{kernel}_{platform}_{matrixType}_{matrixSize}_{semiring}_{datetime.datetime.now()}.log'),'a')
+        f = open(os.path.join(out_directory,f'{kernel}_{platform}_{matrixType}_{matrixSize}_{semiring}.log'),'a')
         for r in res:
             print(r) 
             f.write(f'{r[0]}, {r[1]}, {r[2]}\n')
-        f.close()
+        f.close()