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v1.7.0-rc1

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[1.7] Remove torch.vmap (pytorch#45571)

torch.vmap is a prototype feature and should not be in the stable
binary. This PR:
- Removes the `torch.vmap` API
- Removes the documentation entry for `torch.vmap`
- Changes the vmap tests to use an internal API instead of `torch.vmap`.

Test Plan:
- Tested locally (test_torch, test_type_hints, test_vmap), but also wait
for CI.

v1.6.0

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seemethere Eli Uriegas
Revert "[release/1.6] .circleci: Don't use SCCACHE for windows releas…

…e builds (pytorch#42024)"

This reverts commit 994b37b.

v1.6.0-rc7

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seemethere Eli Uriegas
Revert "[release/1.6] .circleci: Don't use SCCACHE for windows releas…

…e builds (pytorch#42024)"

This reverts commit 994b37b.

v1.6.0-rc6

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[release/1.6] [JIT] Dont include view ops in autodiff graphs (pytorch…

…#42029)

* Dont include view ops in autodiff graphs

* skip view ops in autodiff testing

* two more tests

* appease calng format

* Pacify clang-format

Co-authored-by: eellison <eellison@fb.com>
Co-authored-by: Nikita Shulga <nikita.shulga@gmail.com>

v1.6.0-rc5

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[jit] fix tuple alias analysis (pytorch#41992)

Previously when analyzing a TupleConstruct, we ignored the aliasing
information of the inputs and simply marked all elements of the returned
tuple as wildcards. But since we can fully reason about the contents of
a tuple statically, we should be able to assign them aliasing
information.

This analysis was not only incomplete but produced incorrect results,
since if `a` is not a wildcard, `a noalias wilcard`. So if we looked at
`tuple(a)` and reported the aliasing info as `tuple(wildcard)`, then
`tuple[0] noalias a`, which is...wrong.

v1.6.0-rc4

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scatter/gather - check that inputs are of the same dimensionality (py…

…torch#41890)

Co-authored-by: Nikita Vedeneev <nik@quansight.com>

v1.6.0-rc3

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Update pthreadpool to pthreadpool:029c88620802e1361ccf41d1970bd5b07fd…

…6b7bb. (pytorch#40524) (pytorch#41190)

Summary: Pull Request resolved: pytorch#40524

Reviewed By: ezyang

Differential Revision: D22215742

Pulled By: AshkanAliabadi

fbshipit-source-id: ef594e0901337a92b21ddd44e554da66c723eb7c

v1.6.0-rc2

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Release GIL during DDP construction. (pytorch#40877)

Summary:
Pull Request resolved: pytorch#40495

As part of debugging flaky ddp_under_dist_autograd tests, I realized
we were running into the following deadlock.

1) Rank 0 would go into DDP construction, hold GIL and wait for broadcast in
DDP construction.
2) Rank 3 is a little slower and performs an RRef fetch call before the DDP
construction.
3) The RRef fetch call is done on Rank 0 and tries to acquire GIL.
4) We now have a deadlock since Rank 0 is waiting for Rank 3 to enter the
collective and Rank 3 is waiting for Rank 0 to release GIL.
ghstack-source-id: 106534442

Test Plan:
1) Ran ddp_under_dist_autograd 500 times.
2) waitforbuildbot

Differential Revision: D22205180

fbshipit-source-id: 6afd55342e801b9edb9591ff25158a244a8ea66a

Co-authored-by: Pritam Damania <pritam.damania@fb.com>

v1.6.0-rc1

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seemethere Eli Uriegas
.circleci: Fix upload to backup directory

Signed-off-by: Eli Uriegas <eliuriegas@fb.com>

v1.5.1

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[ONNX] Fix pow op export [1.5.1] (pytorch#39791)

* [ONNX] Fix pow op export (pytorch#38065)

Summary:
Fix pow type cast for opset 9 and update opset 12
Pull Request resolved: pytorch#38065

Differential Revision: D21485353

Pulled By: malfet

fbshipit-source-id: 3993e835ffad07b2e6585eb5cf1cb7c8474de2ec

* Update ort-nighly version as suggested in pytorch#39685 (comment)

* Apply changes from pytorch#37846 to  `test_topk_smallest_unsorted`

Co-authored-by: neginraoof <neginmr@utexas.edu>