Last active
January 4, 2025 00:30
-
-
Save dcci/9ae605dfc79130869df275db562eb146 to your computer and use it in GitHub Desktop.
pytorch MPS example
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import torch._dynamo.config as config | |
import sys | |
config.recompile_limit = float('inf') | |
torch.set_default_device("mps") | |
torch.set_printoptions(precision=16) | |
class Model(torch.nn.Module): | |
def __init__(self): | |
super().__init__() | |
def apply_op(self, op, v): | |
return op(v) | |
def forward(self, x): | |
return torch.exp(x) | |
torch._dynamo.reset() | |
x = torch.randn(10).to('mps') | |
y = x.clone().to('mps') | |
print(x) | |
func = Model() | |
mps_device = torch.device("mps") | |
func.to(mps_device) | |
start_time = time.time() | |
res1 = func(x) | |
print("--- %s seconds ---" % (time.time() - start_time)) | |
start_time = time.time() | |
func1 = torch.compile(func, fullgraph=True) | |
res2 = func1(y) | |
print("--- %s seconds ---" % (time.time() - start_time)) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment