def __getitem__(self, index):
x = list()
if self.train:
x = int2bit(index, self.inputs)
else:
for _ in range(0, self.inputs):
x.append(random.randint(0, 1))
y = self.model.forward(x)
x = torch.Tensor(x)
y = torch.Tensor(y)
return x,y
def result(a):
b = bit2int(a[:1])
c = bit2int(a[1:])
m = b + c
return int2bit(m, 2)
def result(a):
b = bit2int(a[:4])
c = bit2int(a[4:])
m = b * c
return int2bit(m,8)
def result(a):
b = bit2int(a[:3])
c = bit2int(a[3:])
m = b * c
return int2bit(m,6)
def result(a):
b = bit2int(a[:2])
c = bit2int(a[2:])
m = b*c
return int2bit(m,4)