*Memos:
- My post explainsadd().
- My post explainssub().
- My post explainsmul().
- My post explainsdiv().
- My post explainsfmod().
remainder() can do the modulo(mod) calculation ofPython’s modulus operation with two of the 0D or more D tensors of zero or more elements or the 0D or more D tensor of zero or more elements and a scalar, getting the 0D or more D tensor of zero or more elements as shown below:
*Memos:
remainder()can be used withtorch or a tensor.- The 1st argument(
input) withtorch(Type:tensororscalarofintorfloat) or using a tensor(Type:tensorofintorfloat)(Required). *torchmust use a scalar withoutinput=. - The 2nd argument with
torchor the 1st argument with a tensor isother(Required-Type:tensororscalarofintorfloat). - There is
outargument withtorch(Optional-Default:None-Type:tensor):*Memos:out=must be used.- My post explains
outargument.
- Setting
0(int) toothergetsZeroDivisionError. - The combination of a scalar(
input) and a scalar(other) cannot be used. - The result has the same sign as
other.
importtorchtensor1=torch.tensor([9,7,6])tensor2=torch.tensor([[4,-4,3],[-2,5,-5]])torch.remainder(input=tensor1,other=tensor2)tensor1.remainder(other=tensor2)# tensor([[1, -1, 0], [-1, 2, -4]])torch.remainder(9,other=tensor2)# tensor([[1, -3, 0], [-1, 4, -1]])torch.remainder(input=tensor1,other=4)# tensor([1, 3, 2])tensor1=torch.tensor([-9,-7,-6])tensor2=torch.tensor([[4,-4,3],[-2,5,-5]])torch.remainder(input=tensor1,other=tensor2)# tensor([[3, -3, 0],torch.remainder(-9,other=tensor2)# tensor([[3, -1, 0], [-1, 1, -4]])torch.remainder(input=tensor1,other=4)# tensor([3, 1, 2])tensor1=torch.tensor([9.75,7.08,6.26])tensor2=torch.tensor([[4.26,-4.54,3.37],[-2.16,5.43,-5.98]])torch.remainder(input=tensor1,other=tensor2)# tensor([[1.2300, -2.0000, 2.8900],# [-1.0500, 1.6500, -5.7000]])torch.remainder(9.75,other=tensor2)# tensor([[1.2300, -3.8700, 3.0100], [-1.0500, 4.3200, -2.2100]])torch.remainder(input=tensor1,other=4.26)# tensor([1.2300, 2.8200, 2.0000])Top comments(0)
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