GenericDict/List type use unshapedType() (#30428)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30428
Reported issue https://discuss.pytorch.org/t/incomprehensible-behaviour/61710
Steps to reproduce:
```
class WrapRPN(nn.Module):
def __init__(self):
super().__init__()
def forward(self, features):
# type: (Dict[str, Tensor]) -> int
return 0
```
```
#include <torch/script.h>
int main() {
torch::jit::script::Module module = torch::jit::load("dict_str_tensor.pt");
torch::Tensor tensor = torch::rand({2, 3});
at::IValue ivalue{tensor};
c10::impl::GenericDict dict{c10::StringType::get(),ivalue.type()};
dict.insert("key", ivalue);
module.forward({dict});
}
```
ValueType of `c10::impl::GenericDict` is from the first specified element as `ivalue.type()`
It fails on type check in` function_schema_inl.h` !value.type()->isSubtypeOf(argument.type())
as `DictType::isSubtypeOf` requires equal KeyType and ValueType, while `TensorType`s are different.
Fix:
Use c10::unshapedType for creating Generic List/Dict
Test Plan: Imported from OSS
Differential Revision: D18717189
Pulled By: IvanKobzarev
fbshipit-source-id: 1e352a9c776a7f7e69fd5b9ece558f1d1849ea57
