Perf plot

flopcounts/x86/variant_inlining_7_symmetry_2_ilp_1.py

@@ -0,0 +1,27 @@
+# n_iter * [ n_p ** 2 * (12.5 A + 2.5 S + 23 M + 1 D + 1 E) + n_p * (6.5 A + 0.5 S - 2 M + 1 D - 1 E) + n_obstacles * n_p * (12 A + 19 M + 1 S + 1 D + 1 E)]
+
+
+def adds(n_iter: int, n_p: int, n_obs: int = 2) -> int:
+  return int(n_iter * (n_p**2 * 12.5 + n_p * 6.5 + n_obs * n_p * 12))
+
+
+def mults(n_iter: int, n_p: int, n_obs: int = 2) -> int:
+  return int(n_iter * (n_p**2 * 23 + n_p * (-2) + n_obs * n_p * 19))
+
+
+def divs(n_iter: int, n_p: int, n_obs: int = 2) -> int:
+  return int(n_iter * (n_p**2 * 1 + n_p * 1 + n_obs * n_p * 1))
+
+
+def sqrts(n_iter: int, n_p: int, n_obs: int = 2) -> int:
+  return int(n_iter * (n_p**2 * 2.5 + n_p * 0.5 + n_obs * n_p * 1))
+
+
+def exps(n_iter: int, n_p: int, n_obs: int = 2) -> int:
+  return int(n_iter * (n_p**2 * 1 + n_p * (-1) + n_obs * n_p * 1))
+
+
+def total(n_iter: int, n_p: int, n_obs: int = 2) -> int:
+  return adds(n_iter, n_p, n_obs) + mults(n_iter, n_p, n_obs) + divs(
+    n_iter, n_p, n_obs) + sqrts(n_iter, n_p,
+                                n_obs) + exps(n_iter, n_p, n_obs) * 30