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[JIT] adding torch.jit.isinstance support (#46062)

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Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/46062

Adds support for torch.jit.isinstance in both eager and script mode

Example use:

```
import torch
from typing import Any, List

class TestModule(torch.nn.Module):
    def __init__(self):
        super(TestModule, self).__init__()

    def call(self, input1: str, input2: str) -> str:
        return input1

    def forward(self, input: Any) -> None:
        if torch.jit.isinstance(input, List[str]):
            for el in input:
                print(el)

TestModule().forward(["1","2"])
scripted_module = torch.jit.script(TestModule())
scripted_module(["1", "2"])
```

Test Plan: Imported from OSS

Reviewed By: bertmaher, zou3519

Differential Revision: D24264415

Pulled By: Lilyjjo

fbshipit-source-id: 039c95bddd854c414027ac8332832e6bc830b5b9
This commit is contained in:
Lillian Johnson
2020-10-20 16:43:25 -07:00
committed by Facebook GitHub Bot
parent fdc5261a20
commit f83cf2dab3
7 changed files with 420 additions and 20 deletions
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3
torch/csrc/jit/python/python_sugared_value.cpp
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@ -918,6 +918,9 @@ std::shared_ptr<SugaredValue> toSugaredValue(
} else if (
obj.ptr() == py::module::import("torch.jit").attr("annotate").ptr()) {
return SpecialFormValue::create(prim::annotate);
} else if (
obj.ptr() == py::module::import("torch.jit").attr("isinstance").ptr()) {
return SpecialFormValue::create(prim::isinstance);
#ifdef USE_RPC
// RPC module is only avaialble when build flag "USE_DISTRIBUTED" is on.
} else if (