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[MPS][BE]Do not use new/delete[] in chainViewOperation #79516

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@malfet malfet commented Jun 14, 2022

`std::array` will do just fine

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facebook-github-bot commented Jun 14, 2022

🔗 Helpful links

❌ 1 New Failures

As of commit 26e179a (more details on the Dr. CI page):

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  • 1/1 failures introduced in this PR

🕵️ 1 new failure recognized by patterns

The following CI failures do not appear to be due to upstream breakages

See GitHub Actions build pull / linux-focal-py3.7-gcc7 / test (backwards_compat, 1, 1, linux.2xlarge) (1/1)

Step: "Test" (full log | diagnosis details | 🔁 rerun)

2022-06-14T14:10:47.2271533Z RuntimeError:
2022-06-14T14:10:46.5600211Z Author: PyTorch Team
2022-06-14T14:10:46.5600575Z Author-email: packages@pytorch.org
2022-06-14T14:10:46.5600838Z License: BSD-3
2022-06-14T14:10:46.5601144Z Location: /opt/conda/lib/python3.7/site-packages
2022-06-14T14:10:46.5601474Z Requires: typing-extensions
2022-06-14T14:10:46.5601701Z Required-by: 
2022-06-14T14:10:46.5989624Z + python check_forward_backward_compatibility.py --existing-schemas nightly_schemas.txt
2022-06-14T14:10:47.2270494Z Traceback (most recent call last):
2022-06-14T14:10:47.2271026Z   File "check_forward_backward_compatibility.py", line 339, in <module>
2022-06-14T14:10:47.2271325Z     s = parse_schema(line.strip())
2022-06-14T14:10:47.2271533Z RuntimeError: 
2022-06-14T14:10:47.2271794Z Unknown custom class type c10d.ProcessGroup. Please ensure it is registered.:
2022-06-14T14:10:47.2272455Z c10d::broadcast(__torch__.torch.classes.c10d.ProcessGroup _0, Tensor[] _1, int _2, int _3, int _4) -> __torch__.torch.classes.c10d.Work _0
2022-06-14T14:10:47.2272861Z                                              ~~~~~~~~~~~~ <--- HERE
2022-06-14T14:10:47.2272996Z 
2022-06-14T14:10:47.3414911Z + cleanup
2022-06-14T14:10:47.3415216Z + retcode=1
2022-06-14T14:10:47.3415423Z + set +x
2022-06-14T14:10:47.3450998Z ##[error]Process completed with exit code 1.
2022-06-14T14:10:47.3505891Z ##[group]Run pytorch/pytorch/.github/actions/get-workflow-job-id@master
2022-06-14T14:10:47.3506271Z with:

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@malfet malfet added the ciflow/trunk Trigger trunk jobs on your pull request label Jun 14, 2022
@malfet malfet requested a review from albanD June 14, 2022 13:46
`std::array` will do just fine

[ghstack-poisoned]
malfet added a commit that referenced this pull request Jun 14, 2022
`std::array` will do just fine

ghstack-source-id: 81127c310e5af7cd8d55ec00812fdb50ca8cc8f9
Pull Request resolved: #79516
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Looks good

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malfet commented Jun 14, 2022

@pytorchbot merge -f

@malfet malfet added the topic: not user facing topic category label Jun 14, 2022
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@pytorchbot successfully started a merge job. Check the current status here

facebook-github-bot pushed a commit that referenced this pull request Jun 16, 2022
Summary:
`std::array` will do just fine

Pull Request resolved: #79516

Approved by: https://github.com/albanD

Test Plan: contbuild & OSS CI, see https://hud.pytorch.org/commit/pytorch/pytorch/6cf085e8fc9fb7386ae118cd00e9b2cad932a390

Reviewed By: dagitses

Differential Revision: D37156561

Pulled By: malfet

fbshipit-source-id: 0e926ffbc476eaf7f03a2b8f9b27b954cf9cc640
@facebook-github-bot facebook-github-bot deleted the gh/malfet/42/head branch June 18, 2022 14:17
kulinseth pushed a commit to kulinseth/pytorch that referenced this pull request Jul 9, 2022
`std::array` will do just fine

Pull Request resolved: pytorch#79516

Approved by: https://github.com/albanD
atalman pushed a commit to atalman/pytorch that referenced this pull request Jul 22, 2022
`std::array` will do just fine

Pull Request resolved: pytorch#79516

Approved by: https://github.com/albanD
atalman added a commit that referenced this pull request Jul 25, 2022
* MPS: Fixes (#78930)

Cast integer to float in UnaryOps
Add tensor dtype in key generation
Enable FP16 scalars and use placeholder for alpha tensor in add/sum ops

Fixes #ISSUE_NUMBER

Pull Request resolved: #78930
Approved by: https://github.com/albanD

* MPS: Binary cast fix by proper type promotion and remove spurious copy warning (#79185)

Fixes #78019, #78020
Fixes #79185
Pull Request resolved: #79185
Approved by: https://github.com/albanD, https://github.com/razarmehr

* MPS: add exponential op (#79188)

Add exponential distribution

Fixes #ISSUE_NUMBER

Pull Request resolved: #79188
Approved by: https://github.com/razarmehr, https://github.com/albanD

* [MPS] Delete unused vars from OperationUtils.mm

Pull Request resolved: #79514

Approved by: https://github.com/kulinseth, https://github.com/albanD

* [MPS] Fix getDefaultGenerator and copy_kernel_mps

Returning reference to stack memory is really bad

Pull Request resolved: #79515

Approved by: https://github.com/albanD

* [MPS][BE]Do not use `new/delete[]` in `chainViewOperation`

`std::array` will do just fine

Pull Request resolved: #79516

Approved by: https://github.com/albanD

* [MPS] Support stride of stride

Fixes #79181

Pull Request resolved: #79521

Approved by: https://github.com/kulinseth

* MPS: TopK raise an error if K>16 (#79677)

* Error out in TopK when k>16.
* Add a test case too.

Fixes #78915

Pull Request resolved: #79677
Approved by: https://github.com/albanD

* [MPS]: Add fix for squeezed input axes handling in BCE loss (#79676)

Fixes #79527

Pull Request resolved: #79676
Approved by: https://github.com/razarmehr, https://github.com/albanD

* MPS: Add amax and amin Ops with tests  (#79682)

* Add amax and amin with tests

Fixes #ISSUE_NUMBER

Pull Request resolved: #79682
Approved by: https://github.com/albanD

* [MPS] Fix torch.uint8 support (#80049)

`ScalarType.Byte` should be cast to `MPSDataTypeUInt8`
And support for `torch.int8` as well as test those conversions in `TestMPS.test_to`

Fixes #80006

Pull Request resolved: #80049
Approved by: https://github.com/albanD

* [MPS] Fix binary ops between int32 tensor with int64 scalar (#80220)

For some reason, tensor *op* scalar does not follow the normal binary promotion rules
So cast output tensor to expected type if needed
It seems that one should have casted input tensors to expected output tensor type, but it does not really work for boolean binary ops, so...
Add output tensor type/shape to cached graph key
Extend `TestMPS. test_add_scalars` to test for this regression

Fixes #79835

Pull Request resolved: #80220
Approved by: https://github.com/albanD

* [MPS] Add equal operator (#80195)

Which is, in essence is composite of `eq`->`all`->`item`
`native/mps/operators/Equal.cpp` is an almost verbatim copy of `native/cuda/Equal.cpp`

Fix codegen by generating MPSFunctions headers

Pull Request resolved: #80195
Approved by: https://github.com/albanD

* [MPS] add `aten::normal.Tensor_float` `aten::normal.float_Tensor` `aten::normal.Tensor_Tensor` (#80297)

Fixes #ISSUE_NUMBER

Pull Request resolved: #80297
Approved by: https://github.com/albanD, https://github.com/kulinseth

* [MPS] Add flip (#80214)

Fixes #ISSUE_NUMBER

Pull Request resolved: #80214
Approved by: https://github.com/DenisVieriu97, https://github.com/albanD

* [MPS] Add logical ops (#80216)

This PR adds `logical_not`, `logical_and`, `logical_or`, `logical_xor`.
Pull Request resolved: #80216
Approved by: https://github.com/albanD, https://github.com/kulinseth

* [MPS] Add glu (#79866)

Adds mps op for `aten::glu.out`.

Pull Request resolved: #79866
Approved by: https://github.com/kulinseth, https://github.com/albanD

* [MPS] Fix std/var cache issue (#80502)

Use `getTensorsStringKey` which has tensor shape info added as part of the key to prevent cache lookup issue when the shape of input tensor is changed.

Fixes #80499

Pull Request resolved: #80502
Approved by: https://github.com/malfet, https://github.com/kulinseth

* Add scatter support for view operations (#79939)

* Add scatter support for view operations; #78074, #78886, #79672
* Update test_slicing_replace_column to properly test different sizes
* Handle in-place changes for binary ops; add new testcase
* Add new view ops testing scatter; add MPSDebugConfig.h config file for debugging purposes
* Merge gatherViewTensor and scatterViewTensor into a generic function
* Add scatter on demand in scatterViewOperation instead of caching it into a generic graph
* Create separate graphs for scatter and gather;
* Create scatter graph at scatter time

Fixes #ISSUE_NUMBER

Pull Request resolved: #79939
Approved by: https://github.com/razarmehr

* MPS: Fix handling of 1D tensors in linear backward (#80759)

Fixes ##79784

Pull Request resolved: #80759
Approved by: https://github.com/ezyang

* [MPS] Move the View ops to a separate file and reduce the number of graphs created (#80491)

This is dependent on the PR to go in first: #79939

Remove the data_ptr from the View Graph key which reduces the number of
graphs created significantly.

Don't wait when copying from MPS to MPS tensors

Pull Request resolved: #80491
Approved by: https://github.com/malfet

* [MPS] Add softplus backward (#79873)

Fixes #ISSUE_NUMBER

Pull Request resolved: #79873
Approved by: https://github.com/malfet

* [MPS] Add argmin (#80828)

This PR

1. adds argmin
2. refactors `reduction_type` in `ReduceOps.mm` with enum.

Co-authored by Kulin Seth <kulinseth@gmail.com>
Pull Request resolved: #80828
Approved by: https://github.com/malfet

* [MPS] Fix LSTM batch_first output transposed (#80597)

The output of LSTM with `batch_first` should be transposed back to batch first format.

Fixes #80306

Pull Request resolved: #80597
Approved by: https://github.com/kulinseth

* [MPS][BE] Introduce MPSUnaryCachedGraph (#81033)

I.e. CachedGraph that has input and output tensors
Also, add `MPSGraphCache::LookUpAs` template, which combines LookUp with
static_cast to target type

Pull Request resolved: #81033
Approved by: https://github.com/kulinseth

* [MPS] Add test consistency from OpInfo based tests from PR 78504 (#79532)

Pull Request resolved: #79532
Approved by: https://github.com/albanD, https://github.com/malfet

* [MPS] Add huber loss (#80163)

Fixes #ISSUE_NUMBER

Pull Request resolved: #80163
Approved by: https://github.com/kulinseth, https://github.com/malfet

* Remove two tests dependent on the MPS serialization checkin.

* Fix lint error (FLAKE8) F401

* Remove the serialization test from test_mps as its support is not there in 1.12.1.

Co-authored-by: Kulin Seth <kulinseth@gmail.com>
Co-authored-by: Nikita Shulga <nikita.shulga@gmail.com>
Co-authored-by: Kulin Seth <kulin_seth@apple.com>
Co-authored-by: Abhishek Pathak <abhipathak97@gmail.com>
Co-authored-by: Nikita Shulga <nshulga@fb.com>
Co-authored-by: qqaatw <qqaatw@gmail.com>
Co-authored-by: Ramin Azarmehr <razarmehr@apple.com>
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