Summary:
Add a section for unsupported ops, and modules. Automatically generate the properties and attributes that aren't bound, and for ops that have semantic mismatches set up tests so the docs stay up to date.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/31329
Differential Revision: D19164472
Pulled By: eellison
fbshipit-source-id: 46290bb8a64d9de928cfb1eda5ff4558c3799c88
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30530
Switch some mentions of "C++11" in the docs to "C++14"
ghstack-source-id: 95812049
Test Plan: testinprod
Differential Revision: D18733733
fbshipit-source-id: b9d0490eb3f72bad974d134bbe9eb563f6bc8775
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/31069
Just to clarify that they are still experimental.
Test Plan: Imported from OSS
Differential Revision: D18920496
Pulled By: suo
fbshipit-source-id: d2f3014592a01a21f7fc60a4ce46dd0bfe5e19e9
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/31068
Let's get it out of the early parts now that the recursive API has been
around for a while
Test Plan: Imported from OSS
Differential Revision: D18920498
Pulled By: suo
fbshipit-source-id: 6f4389739dd9e7e5f3014811b452249cc21d88e7
Summary:
Adds `torch.floor_divide` following the numpy's `floor_divide` api. I only implemented the out-of-place version, I can add the inplace version if requested.
Also fixes https://github.com/pytorch/pytorch/issues/27512
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30493
Differential Revision: D18896211
Pulled By: eellison
fbshipit-source-id: ee401c96ab23a62fc114ed3bb9791b8ec150ecbd
Summary:
This is a re-do of https://github.com/pytorch/pytorch/issues/27064, which was reverted (b8792c0438). This was landed at the same time as other work that added new operators to the `torch` namespace so the check for whether the `torch` namespace is exhaustively checked for overridability was triggering test failures.
I've temporarily disabled that check and added an explanatory comment that the check will be re-enabled in a future PR that will be merged during a time when the commit velocity on PyTorch is lower.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30730
Differential Revision: D18813270
Pulled By: ezyang
fbshipit-source-id: 70477c4656dca8fea6e7bc59259555041fcfbf68
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30467
Introduce function jit.export_opnames(module), which returns a list of all operator names used in the module and its submodules. One usage is to have mobile custom build to link only operators in the returned list to save the mobile size.
Example:
import torch
m = torch.jit.load("example.pt")
print(torch.jit.export_opnames(m))
The outputs are in alphabetical order:
['aten::_convolution', 'aten::add.Tensor', 'aten::add_.Tensor', 'aten::addmm', 'aten::append.Tensor', 'aten::cat', 'aten::dropout', 'aten::embedding', 'aten::matmul', 'aten::max.dim', 'aten::mul.Tensor', 'aten::permute', 'aten::relu', 'aten::t', 'aten::tanh', 'prim::ListConstruct', 'prim::TupleConstruct', 'prim::TupleUnpack']
Test Plan: Imported from OSS
Differential Revision: D18801619
Pulled By: iseeyuan
fbshipit-source-id: f9b198d3e82b095daf704ee595d8026ad889bb13
Summary:
With the CI failure caused in 8bbafa0b32 fixed (incorrect return type of the lambdas in CUDA kernels)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30521
Differential Revision: D18770151
Pulled By: ailzhang
fbshipit-source-id: 02f0fe1d5718c34d24da6dbb5884ee8b247ce39a
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30491
Our RPC API docs presents the APIs well but misses a general
introduction to the APIs. Readers might be a little lost the first
time landing this page. This commits reorganizes the APIs into
four components from user's perspective, RPC, RRef, dist autograd,
and dist optimizer. It also adds an intro to each and briefly
discribes why we provide those.
Test Plan: Imported from OSS
Differential Revision: D18723294
Pulled By: mrshenli
fbshipit-source-id: 4aced4ab537b070aa780aaaf9724659fd47cb3cb
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30330
This is now possible due to previous changes made in `gloo` and `ProcessGroupGloo`. We `abort` the listener thread that is waiting for a message, and join all other threads. The API is changed so that the previous `wait_all_workers` does not destroy the agent, and this is now done in a new `shutdown` method. All callsites are updated appropriately.
ghstack-source-id: 94673884
ghstack-source-id: 94673884
Test Plan: Unit tests pass.
Reviewed By: mrshenli
Differential Revision: D18661775
fbshipit-source-id: 5aaa7c14603e18253394224994f6cd43234301c2
Summary:
This adds a listing of the parts of the `typing` module that are unsupported
This is also a first pass decisions on features are 'unlikely to be implemented' vs 'not implemented' so they're open to discussion
](https://our.intern.facebook.com/intern/diff/18665628/)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30344
Pulled By: driazati
Differential Revision: D18665628
fbshipit-source-id: 22b8ebbde23df03839306cdb4344ca18a44f2c29
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30208
Adds default arg for init_method so users don't have to pass this in,
and moves it to `RpcBackendOptions` struct. Removes `init_method` arg from rpc.init_rpc. Also fixes some docs.
ghstack-source-id: 94500475
Test Plan: Unit tests pass.
Reviewed By: mrshenli
Differential Revision: D18630074
fbshipit-source-id: 04b7dd7ec96f4c4da311b71d250233f1f262135a
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30020
This is now possible due to previous changes made in `gloo` and `ProcessGroupGloo`. We `abort` the listener thread that is waiting for a message, and join all other threads. The destructor calls this same `localShutdown` method, but we ensure this is not called multiple times.
ghstack-source-id: 94415336
Test Plan: Unit tests pass.
Differential Revision: D5578006
fbshipit-source-id: 6258879fb44c9fca97fdfad64468c1488c16ac02
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30240
Get rid of the following warning when build docs:
```
/Users/shenli/Project/pytorch/docs/source/notes/rref.rst:184: WARNING: Error in "code" directive:
maximum 1 argument(s) allowed, 6 supplied.
.. code::
import torch
import torch.distributed.rpc as rpc
# on worker A
rref = rpc.remote('B', torch.add, args=(torch.ones(2), 1))
# say the rref has RRefId 100 and ForkId 1
rref.to_here()
```
Test Plan: Imported from OSS
Differential Revision: D18640016
Pulled By: mrshenli
fbshipit-source-id: d527827f01183411d4b4c73e0a976bdd7fccbf49
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30052
Some of the examples provided in `rpc/api.py` were not updated along
with the code changes, this PR updates them. Also removes the
`dist.ProcessGroup` information since `init_rpc` now initializes a default
process group.
ghstack-source-id: 94273004
Test Plan: Unit tests pass
Differential Revision: D18582596
fbshipit-source-id: a637683f0221f9600f7e50b74e9f7e5a1d331d8f
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30066
This commit adds design reasoning and walks through four scenarios
for RRef.
Test Plan: Imported from OSS
Reviewed By: rohan-varma
Differential Revision: D18595094
Pulled By: mrshenli
fbshipit-source-id: 134102901ce515a44a2e7cd013b62143a6158120
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/30050
Renames this API to wait_all_workers as discussed.
ghstack-source-id: 94273005
Test Plan: Unit tests pass
Differential Revision: D18581466
fbshipit-source-id: 4ff5d5fb2d528f17252d5b5f30c3047d2efb92bf
