[Array API] Add linalg.vecdot by lezcano · Pull Request #70542 · pytorch/pytorch

lezcano · 2021-12-31T16:01:47Z

Stack from ghstack:

-> [Array API] Add linalg.vecdot #70542

This PR adds the function linalg.vecdot specified by the Array
API

For the complex case, it chooses to implement \sum x_i y_i. See the
discussion in data-apis/array-api#356

Edit. When it comes to testing, this function is not quite a binopt, nor a reduction opt. As such, we're this close to be able to get the extra testing, but we don't quite make it. Now, it's such a simple op that I think we'll make it without this.

Resolves #18027.

cc @mruberry @rgommers @pmeier @asmeurer @leofang @AnirudhDagar @asi1024 @emcastillo @kmaehashi

This PR adds the function `linalg.vecdot` specified by the [Array API](https://data-apis.org/array-api/latest/API_specification/linear_algebra_functions.html#function-vecdot) For the complex case, it chooses to implement \sum x_i y_i. See the discussion in data-apis/array-api#356 [ghstack-poisoned]

pytorch-probot · 2021-12-31T16:01:50Z

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This PR adds the function `linalg.vecdot` specified by the [Array API](https://data-apis.org/array-api/latest/API_specification/linear_algebra_functions.html#function-vecdot) For the complex case, it chooses to implement \sum x_i y_i. See the discussion in data-apis/array-api#356 ghstack-source-id: d91ef0b Pull Request resolved: #70542

This PR adds the function `linalg.vecdot` specified by the [Array API](https://data-apis.org/array-api/latest/API_specification/linear_algebra_functions.html#function-vecdot) For the complex case, it chooses to implement \sum x_i y_i. See the discussion in data-apis/array-api#356 Edit. When it comes to testing, this function is not quite a binopt, nor a reduction opt. As such, we're this close to be able to get the extra testing, but we don't quite make it. Now, it's such a simple op that I think we'll make it without this. cc mruberry rgommers pmeier asmeurer leofang AnirudhDagar asi1024 emcastillo kmaehashi [ghstack-poisoned]

IvanYashchuk

Great!

This PR also resolves #18027.

IvanYashchuk · 2022-01-03T11:39:44Z

+vecdot = _add_docstr(_linalg.linalg_vecdot, r"""
+linalg.vecdot(x, y, *, dim=-1, out=None) -> Tensor
+
+Computes the vector product of two batches of vectors along a dimension.


There are several "vector products", this one computes the vector dot product

Yup. The only thing is that this PR implements \sum x_i y_i, which is not the complex dot product. I opened an issue here data-apis/array-api#356. For now, I'm calling this "the real dot product", which is not standard notation either.

I don't think that there's a standard name for this in the complex case. You'd call it C-linear complex dot product (perhaps) to differentiate it from the R-linear real dot product Re(x^H y)...

Leaving it like this for now.

IvanYashchuk · 2022-01-03T11:41:50Z

+
+over the dimension :attr:`dim`.
+
+Supports input of half, bfloat16, float, double, cfloat, cdouble and integral dtypes.


If it supports everything do we need to mention it?

I think it's fine to be explicit here. Also, many other linalg functions have a note on supported dtypes.

Leaving it as "better explicit than implicit". Also, it does support bool, but it's not announced here. If I had to choose I'd disallow integral and boolean types, but left them because why not.

This PR adds the function `linalg.vecdot` specified by the [Array API](https://data-apis.org/array-api/latest/API_specification/linear_algebra_functions.html#function-vecdot) For the complex case, it chooses to implement \sum x_i y_i. See the discussion in data-apis/array-api#356 Edit. When it comes to testing, this function is not quite a binopt, nor a reduction opt. As such, we're this close to be able to get the extra testing, but we don't quite make it. Now, it's such a simple op that I think we'll make it without this. Resolves #18027. cc mruberry rgommers pmeier asmeurer leofang AnirudhDagar asi1024 emcastillo kmaehashi [ghstack-poisoned]

This PR adds the function `linalg.vecdot` specified by the [Array API](https://data-apis.org/array-api/latest/API_specification/linear_algebra_functions.html#function-vecdot) For the complex case, it chooses to implement \sum x_i y_i. See the discussion in data-apis/array-api#356 ghstack-source-id: e579559 Pull Request resolved: #70542

This PR adds the function `linalg.vecdot` specified by the [Array API](https://data-apis.org/array-api/latest/API_specification/linear_algebra_functions.html#function-vecdot) For the complex case, it chooses to implement \sum x_i y_i. See the discussion in data-apis/array-api#356 Edit. When it comes to testing, this function is not quite a binopt, nor a reduction opt. As such, we're this close to be able to get the extra testing, but we don't quite make it. Now, it's such a simple op that I think we'll make it without this. Resolves #18027. cc mruberry rgommers pmeier asmeurer leofang AnirudhDagar asi1024 emcastillo kmaehashi [ghstack-poisoned]

This PR adds the function `linalg.vecdot` specified by the [Array API](https://data-apis.org/array-api/latest/API_specification/linear_algebra_functions.html#function-vecdot) For the complex case, it chooses to implement \sum x_i y_i. See the discussion in data-apis/array-api#356 ghstack-source-id: e51aaed Pull Request resolved: #70542

mruberry · 2022-02-22T19:43:12Z

                          kwargs=dict(op_kwargs, rtol=rtol, atol=atol, equal_nan=equal_nan))

+def sample_inputs_linalg_vecdot(op_info, device, dtype, requires_grad, **kwargs):
+    yield from sample_inputs_binary_pwise(op_info, device, dtype, requires_grad)


Not in love with reusing the elementwise binary sample inputs for this op -- wouldn't it be simple to generate some examples with and without batch dims, an empty tensor, and dim of the default, -2, 1, and 0?

This reverts commit 74208a9. Reverted #70542 on behalf of https://github.com/malfet due to Broke CUDA-10.2 for vecdot_bfloat16, see https://hud.pytorch.org/pytorch/pytorch/commit/74208a9c68b5892b9dde39d06350fe7b92691429

lezcano · 2022-07-09T10:28:21Z

The CI was green, so I assumed everything was fine. Should I run PRs on trunk or how should I test them? @malfet

This PR adds the function `linalg.vecdot` specified by the [Array API](https://data-apis.org/array-api/latest/API_specification/linear_algebra_functions.html#function-vecdot) For the complex case, it chooses to implement \sum x_i y_i. See the discussion in data-apis/array-api#356 Edit. When it comes to testing, this function is not quite a binopt, nor a reduction opt. As such, we're this close to be able to get the extra testing, but we don't quite make it. Now, it's such a simple op that I think we'll make it without this. Resolves #18027. cc mruberry rgommers pmeier asmeurer leofang AnirudhDagar asi1024 emcastillo kmaehashi [ghstack-poisoned]

This PR adds the function `linalg.vecdot` specified by the [Array API](https://data-apis.org/array-api/latest/API_specification/linear_algebra_functions.html#function-vecdot) For the complex case, it chooses to implement \sum x_i y_i. See the discussion in data-apis/array-api#356 ghstack-source-id: fd4705b Pull Request resolved: #70542

lezcano · 2022-07-11T16:47:31Z

@pytorchbot merge -g

pytorchmergebot · 2022-07-11T16:48:46Z

@pytorchbot successfully started a merge job. Check the current status here

pytorchmergebot · 2022-07-11T16:48:51Z

Merge failed due to Refusing to merge as mandatory check(s) pull failed for rule superuser
Raised by https://github.com/pytorch/pytorch/actions/runs/2651091443

This PR adds the function `linalg.vecdot` specified by the [Array API](https://data-apis.org/array-api/latest/API_specification/linear_algebra_functions.html#function-vecdot) For the complex case, it chooses to implement \sum x_i y_i. See the discussion in data-apis/array-api#356 Edit. When it comes to testing, this function is not quite a binopt, nor a reduction opt. As such, we're this close to be able to get the extra testing, but we don't quite make it. Now, it's such a simple op that I think we'll make it without this. Resolves #18027. cc mruberry rgommers pmeier asmeurer leofang AnirudhDagar asi1024 emcastillo kmaehashi [ghstack-poisoned]

This PR adds the function `linalg.vecdot` specified by the [Array API](https://data-apis.org/array-api/latest/API_specification/linear_algebra_functions.html#function-vecdot) For the complex case, it chooses to implement \sum x_i y_i. See the discussion in data-apis/array-api#356 ghstack-source-id: 54fcace Pull Request resolved: #70542

lezcano · 2022-07-12T09:39:39Z

@pytorchbot merge -g

pytorchmergebot · 2022-07-12T09:41:45Z

@pytorchbot successfully started a merge job. Check the current status here

pytorchmergebot · 2022-07-12T09:41:49Z

Merge failed due to Refusing to merge as mandatory check(s) pull failed for rule superuser
Raised by https://github.com/pytorch/pytorch/actions/runs/2655575769

This PR adds the function `linalg.vecdot` specified by the [Array API](https://data-apis.org/array-api/latest/API_specification/linear_algebra_functions.html#function-vecdot) For the complex case, it chooses to implement \sum x_i y_i. See the discussion in data-apis/array-api#356 Edit. When it comes to testing, this function is not quite a binopt, nor a reduction opt. As such, we're this close to be able to get the extra testing, but we don't quite make it. Now, it's such a simple op that I think we'll make it without this. Resolves #18027. cc mruberry rgommers pmeier asmeurer leofang AnirudhDagar asi1024 emcastillo kmaehashi [ghstack-poisoned]

This PR adds the function `linalg.vecdot` specified by the [Array API](https://data-apis.org/array-api/latest/API_specification/linear_algebra_functions.html#function-vecdot) For the complex case, it chooses to implement \sum x_i y_i. See the discussion in data-apis/array-api#356 ghstack-source-id: 13976c0 Pull Request resolved: #70542

lezcano · 2022-07-12T10:29:23Z

@pytorchbot merge -g

pytorchmergebot · 2022-07-12T10:32:28Z

@pytorchbot successfully started a merge job. Check the current status here

Summary: This PR adds the function `linalg.vecdot` specified by the [Array API](https://data-apis.org/array-api/latest/API_specification/linear_algebra_functions.html#function-vecdot) For the complex case, it chooses to implement \sum x_i y_i. See the discussion in data-apis/array-api#356 Edit. When it comes to testing, this function is not quite a binopt, nor a reduction opt. As such, we're this close to be able to get the extra testing, but we don't quite make it. Now, it's such a simple op that I think we'll make it without this. Resolves #18027. cc mruberry rgommers pmeier asmeurer leofang AnirudhDagar asi1024 emcastillo kmaehashi Pull Request resolved: #70542 Approved by: https://github.com/IvanYashchuk, https://github.com/mruberry Test Plan: contbuild & OSS CI, see https://hud.pytorch.org/commit/pytorch/pytorch/e505796a2c0711e6e8ea39c12c19848dc49a60b5 Reviewed By: DanilBaibak Differential Revision: D37813214 Pulled By: DanilBaibak fbshipit-source-id: 782cb7cb31fda5dba4f3de70496f2470b41d8e34

@mruberry

This PR adds the function `linalg.vecdot` specified by the [Array API](https://data-apis.org/array-api/latest/API_specification/linear_algebra_functions.html#function-vecdot) For the complex case, it chooses to implement \sum x_i y_i. See the discussion in data-apis/array-api#356 Edit. When it comes to testing, this function is not quite a binopt, nor a reduction opt. As such, we're this close to be able to get the extra testing, but we don't quite make it. Now, it's such a simple op that I think we'll make it without this. Resolves pytorch#18027. cc @mruberry @rgommers @pmeier @asmeurer @leofang @AnirudhDagar @asi1024 @emcastillo @kmaehashi Pull Request resolved: pytorch#70542 Approved by: https://github.com/IvanYashchuk, https://github.com/mruberry

This reverts commit 2efa0bb. Reverted pytorch#70542 on behalf of https://github.com/malfet due to Broke CUDA-10.2 for vecdot_bfloat16, see https://hud.pytorch.org/pytorch/pytorch/commit/2efa0bb513cb3ef30add2428d1b517f589bdfc4e

@mruberry

This PR adds the function `linalg.vecdot` specified by the [Array API](https://data-apis.org/array-api/latest/API_specification/linear_algebra_functions.html#function-vecdot) For the complex case, it chooses to implement \sum x_i y_i. See the discussion in data-apis/array-api#356 Edit. When it comes to testing, this function is not quite a binopt, nor a reduction opt. As such, we're this close to be able to get the extra testing, but we don't quite make it. Now, it's such a simple op that I think we'll make it without this. Resolves pytorch#18027. cc @mruberry @rgommers @pmeier @asmeurer @leofang @AnirudhDagar @asi1024 @emcastillo @kmaehashi Pull Request resolved: pytorch#70542 Approved by: https://github.com/IvanYashchuk, https://github.com/mruberry

lezcano requested review from IvanYashchuk, ezyang and nikitaved as code owners December 31, 2021 16:01

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lezcano requested review from mruberry and rgommers and removed request for ezyang and nikitaved December 31, 2021 16:02

lezcano added the module: python array api Issues related to the Python Array API label Dec 31, 2021

lezcano mentioned this pull request Dec 31, 2021

Python Array API New Operators Tracker #58742

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Definition of vecdot is ambiguous in the complex case. data-apis/array-api#356

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		over the dimension :attr:`dim`.

		Supports input of half, bfloat16, float, double, cfloat, cdouble and integral dtypes.

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