def convertible_rsub(x, y):
return (x - y), torch.rsub(y, x)
def forward(self, a, b):
a1 = torch.add(a, b)
b1 = torch.rsub(a, b)
c1 = torch.sub(a, b)
d1 = torch.mul(a, b)
return a1, b1, c1, d1
def test_f(a):
return torch.rsub((a * a), 20)
def forward(self, tensor, other):
if other.size() == torch.Size([]):
return torch.rsub((tensor * tensor), other.item())
else:
third = torch.rsub(tensor, other)
return torch.rsub(third, third)
def test_f(a, b):
c = torch.rsub(a, b)
return torch.rsub(c, c)
