torch.add#

torch.add(input,other,*,alpha=1,out=None)→Tensor#

Addsother, scaled byalpha, toinput.

$${\text{out}}_i={\text{input}}_i+\text{alpha}\times {\text{other}}_i$$outi​=inputi​+alpha×otheri​

Supportsbroadcasting to a common shape,type promotion, and integer, float, and complex inputs.

Parameters

• input (Tensor) – the input tensor.

• other (Tensor orNumber) – the tensor or number to add toinput.

Keyword Arguments

• alpha (Number) – the multiplier forother.

• out (Tensor,optional) – the output tensor.

Examples:

>>>a=torch.randn(4)>>>atensor([ 0.0202,  1.0985,  1.3506, -0.6056])>>>torch.add(a,20)tensor([ 20.0202,  21.0985,  21.3506,  19.3944])>>>b=torch.randn(4)>>>btensor([-0.9732, -0.3497,  0.6245,  0.4022])>>>c=torch.randn(4,1)>>>ctensor([[ 0.3743],        [-1.7724],        [-0.5811],        [-0.8017]])>>>torch.add(b,c,alpha=10)tensor([[  2.7695,   3.3930,   4.3672,   4.1450],        [-18.6971, -18.0736, -17.0994, -17.3216],        [ -6.7845,  -6.1610,  -5.1868,  -5.4090],        [ -8.9902,  -8.3667,  -7.3925,  -7.6147]])