Summary:
resize_ and resize_as resize the input tensor. because our shape analysis
is flow invariant, we don't do shape analysis on any op that relies on a Tensor that can alias a resized Tensor.
E.g. in the following graph the x += 10 x may have been resized.
```
torch.jit.script
def test(x, y):
for i in range(10):
x += 10
x.resize_as_([1 for i in int(range(torch.rand())))
return x
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/17518
Differential Revision: D14249835
Pulled By: eellison
fbshipit-source-id: f281b468ccb8c29eeb0f68ca5458cc7246a166d9
Summary:
Documents what is supported in the script standard library.
* Adds `my_script_module._get_method('forward').schema()` method to get function schema from a `ScriptModule`
* Removes `torch.nn.functional` from the list of builtins. The only functions not supported are `nn.functional.fold` and `nn.functional.unfold`, but those currently just dispatch to their corresponding aten ops, so from a user's perspective it looks like they work.
* Allow printing of `IValue::Device` by getting its string representation
Pull Request resolved: https://github.com/pytorch/pytorch/pull/14912
Differential Revision: D13385928
Pulled By: driazati
fbshipit-source-id: e391691b2f87dba6e13be05d4aa3ed2f004e31da
Summary:
In addition to documentation, this cleans up a few error message formats.
It also adds infra to find which operators are supported by the JIT automatically, which is then used in the generation of the docs.
The wording and formatting of the docs is not yet polished, but having this will allow our document writers to make faster progress.
Followup PRs will polish the docs and fix formatting issues.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/11357
Differential Revision: D9721277
Pulled By: zdevito
fbshipit-source-id: 153a0d5be1efb314511bcfc0cec48643d78ea48b
