-
Notifications
You must be signed in to change notification settings - Fork 36
/
Copy path__init__.py
26 lines (22 loc) · 847 Bytes
/
__init__.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
from utils.toolkit import gradient_check, SummaryProfile
from nn.rng import manual_seed_all, randn, tensor, zeros, ones, rand, randint
import nn
# dtype
float16 = nn.GLOBAL.np.dtype(nn.GLOBAL.np.float16)
float32 = nn.GLOBAL.np.dtype(nn.GLOBAL.np.float32)
float64 = nn.GLOBAL.np.dtype(nn.GLOBAL.np.float64)
int8 = nn.GLOBAL.np.dtype(nn.GLOBAL.np.int8)
uint8 = nn.GLOBAL.np.dtype(nn.GLOBAL.np.uint8)
int16 = nn.GLOBAL.np.dtype(nn.GLOBAL.np.int16)
uint16 = nn.GLOBAL.np.dtype(nn.GLOBAL.np.uint16)
int32 = nn.GLOBAL.np.dtype(nn.GLOBAL.np.int32)
uint32 = nn.GLOBAL.np.dtype(nn.GLOBAL.np.uint32)
int64 = nn.GLOBAL.np.dtype(nn.GLOBAL.np.int64)
uint64 = nn.GLOBAL.np.dtype(nn.GLOBAL.np.uint64)
bool = nn.GLOBAL.np.dtype(nn.GLOBAL.np.bool)
def cuda_available():
try:
import cupy
except ImportError:
return False
return True