nb_runs = 10000
d1, d2, d3 = 2048, 2048, 2048
-a, b = torch.rand(d1, d2).to(device), torch.rand(d2, d3).to(device)
+for t in [ torch.float32, torch.float16 ]:
+ a = torch.rand(d1, d2, device = device, dtype = t)
+ b = torch.rand(d2, d3, device = device, dtype = t)
-sync()
-start_time = time.perf_counter()
-for k in range(nb_runs):
- c = a @ b
-sync()
-duration = time.perf_counter() - start_time
+ sync()
+ start_time = time.perf_counter()
+ for k in range(nb_runs):
+ c = a @ b
+ sync()
+ duration = time.perf_counter() - start_time
-nb_flop = float(nb_runs * d1 * d2 * d3 * 2) # 1 multiply-and-add is 2 ops
-speed = nb_flop / duration
+ nb_flop = float(nb_runs * d1 * d2 * d3 * 2) # 1 multiply-and-add is 2 ops
+ speed = nb_flop / duration
-for u in [ '', 'K', 'M', 'G', 'T', 'P' ]:
- if speed < 1e3: break
- speed /= 1e3
-
-print(f'{speed:.02f} {u}flops on {device}')
+ for u in [ '', 'K', 'M', 'G', 'T', 'P' ]:
+ if speed < 1e3: break
+ speed /= 1e3
+ print(f'{speed:.02f} {u}flops with {t} on {device}')