Add in debug statements and also make sure values are cenetered around 0 for minmax

Author: Olivia W Hsu

numpy/minmax.py

@@ -22,7 +22,8 @@ def bench():
             else:
                 reduced = np.min(reduced, -1)     
         return reduced
-    tacoBench(bench)
+    red = tacoBench(bench)
+    print("reduced value for", dims, "is", red)
 
 @pytest.mark.parametrize("dims", [1, 3, 5])
 def bench_minmax_statistics(tacoBench, dims):

numpy/util.py

@@ -504,7 +504,7 @@ def tensor(self, shape, variant=None):
                 stop = numpy.max(ind_list)
                 for i in range(start, stop):
                     temp = tuple(c[1:] + [i])
-                    values[temp] = int(20*numpy.random.rand())
+                    values[temp] = int(20*numpy.random.rand() - 10)
 
             dok = sparse.DOK(shape, values)
             ind = tuple([e - 1 for e in shape])

taco/minimax.cpp

@@ -91,6 +91,8 @@ static void bench_minimax(benchmark::State& state) {
 //    std::cout << result.getSource() << std::endl;
     state.ResumeTiming();
     result.compute();
+//    state.PauseTiming();
+//    cout << "Reduced value" << result << endl;
   }
 }
 TACO_BENCH(bench_minimax);