Spaces:
Runtime error
Runtime error
Ahsen Khaliq
commited on
Commit
•
d57300d
1
Parent(s):
d627a04
Update app.py
Browse files
app.py
CHANGED
@@ -13,6 +13,35 @@ from tqdm import tqdm, trange
|
|
13 |
import skimage.io as io
|
14 |
import PIL.Image
|
15 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
16 |
class MLP(nn.Module):
|
17 |
|
18 |
def forward(self, x: T) -> T:
|
|
|
13 |
import skimage.io as io
|
14 |
import PIL.Image
|
15 |
|
16 |
+
N = type(None)
|
17 |
+
V = np.array
|
18 |
+
ARRAY = np.ndarray
|
19 |
+
ARRAYS = Union[Tuple[ARRAY, ...], List[ARRAY]]
|
20 |
+
VS = Union[Tuple[V, ...], List[V]]
|
21 |
+
VN = Union[V, N]
|
22 |
+
VNS = Union[VS, N]
|
23 |
+
T = torch.Tensor
|
24 |
+
TS = Union[Tuple[T, ...], List[T]]
|
25 |
+
TN = Optional[T]
|
26 |
+
TNS = Union[Tuple[TN, ...], List[TN]]
|
27 |
+
TSN = Optional[TS]
|
28 |
+
TA = Union[T, ARRAY]
|
29 |
+
|
30 |
+
|
31 |
+
D = torch.device
|
32 |
+
CPU = torch.device('cpu')
|
33 |
+
|
34 |
+
model_path = 'model_wieghts.pt'
|
35 |
+
|
36 |
+
def get_device(device_id: int) -> D:
|
37 |
+
if not torch.cuda.is_available():
|
38 |
+
return CPU
|
39 |
+
device_id = min(torch.cuda.device_count() - 1, device_id)
|
40 |
+
return torch.device(f'cuda:{device_id}')
|
41 |
+
|
42 |
+
|
43 |
+
CUDA = get_device
|
44 |
+
|
45 |
class MLP(nn.Module):
|
46 |
|
47 |
def forward(self, x: T) -> T:
|