integrate mkl bmm into benchmarker

benchmarker/kernels/batchmatmul/args.hpp

@@ -14,9 +14,9 @@ struct Options {
 };
 
 Options parse_args(const int argc, char *argv[]) {
-    if (argc != 7)
+    if (argc != 6)
     {
-        std::cerr << "provide precision, m, n, k, batch_size, nb_epoch as command line parameters\n";
+        std::cerr << "provide precision, m, n, k, nb_epoch as command line parameters\n";
         std::cerr << "got " << argc << " parameters\n";
         exit(-1);
     }
@@ -25,8 +25,7 @@ Options parse_args(const int argc, char *argv[]) {
     options.cnt_rows_A_rows_C = atoi(argv[2]);
     options.cnt_cols_A_rows_B = atoi(argv[3]);
     options.cnt_cols_B_cols_C = atoi(argv[4]);
-    options.batch_size = atoi(argv[5]);
-    options.nb_epoch = atoi(argv[6]);
+    options.nb_epoch = atoi(argv[5]);
     return options;
 }
 

benchmarker/kernels/batchmatmul/mkl.py

@@ -0,0 +1,2 @@
+def get_kernel(params):
+    return None

benchmarker/kernels/batchmatmul/mkl/main.cpp

@@ -6,15 +6,15 @@
 using namespace std::chrono; 
 
 int main(int argc, char * argv[]) {
-    size_t m, n, k, batch_size;
+    size_t m, n, k;
+    size_t batch_size = 100;  // todo(bai): a parameter should go here instead a constant
     float **A, **B, **C;
     double dtime;
     Options options = parse_args(argc, argv);
     // parse_args(argc, argv, precision, m, k, n);
     m = options.cnt_rows_A_rows_C;
     n = options.cnt_cols_A_rows_B;
     k = options.cnt_cols_B_cols_C;
-    batch_size = options.batch_size;
     get_batched_matrices<float>(m, k, n, A, B, C, batch_size);
     const float alpha = 1;
     const float beta = 0;