apivovarov commented on pull request #7513:
URL: https://github.com/apache/tvm/pull/7513#issuecomment-786486157
Net
```
class Net(torch.nn.Module):
def __init__(self):
super(Net, self).__init__()
def forward(self, a,b):
a[0] = b[0]
c = a + b
return c
```
Torch graph:
```
graph(%self : __torch__.Net,
%a : Long(4, strides=[1], requires_grad=0, device=cpu),
%b : Long(4, strides=[1], requires_grad=0, device=cpu)):
%5 : int = prim::Constant[value=0]() # <stdin>:5:0
%6 : int = prim::Constant[value=0]() # <stdin>:5:0
%7 : Long(requires_grad=0, device=cpu) = aten::select(%b, %5, %6) #
<stdin>:5:0
%8 : int = prim::Constant[value=0]() # <stdin>:5:0
%9 : int = prim::Constant[value=0]() # <stdin>:5:0
%10 : Long(requires_grad=0, device=cpu) = aten::select(%a, %8, %9) #
<stdin>:5:0
%11 : bool = prim::Constant[value=0]()
%12 : Long(requires_grad=0, device=cpu) = aten::copy_(%10, %7, %11) #
<stdin>:5:0
%13 : int = prim::Constant[value=1]() # <stdin>:6:0
%14 : Long(4, strides=[1], requires_grad=0, device=cpu) = aten::add(%a,
%b, %13) # <stdin>:6:0
return (%14)
```
Relay graph has `add` operator only:
```
fn (%input0: Tensor[(4), int64], %input1: Tensor[(4), int64]) {
add(%input0, %input1)
}
```
`a[0] = b[0]` was not included to the Relay graph
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