Change '*' to '...' and ... for named tensor API functions.#26350
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zou3519 wants to merge 3 commits intogh/zou3519/173/basefrom
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Change '*' to '...' and ... for named tensor API functions.#26350zou3519 wants to merge 3 commits intogh/zou3519/173/basefrom
... for named tensor API functions.#26350zou3519 wants to merge 3 commits intogh/zou3519/173/basefrom
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Python 3 lets us use `...` to perform indexing. Semantically, `...`
means "the rest of the unspecified dimensions". For example, while
indexing, one can do (for 5D `tensor`) `tensor[0, 0, ..., 0]` and
the `...` is expanded into `tensor[0, 0, :, :, 0]`.
Previously, we were using '*' to represent a similar behavior in names.
For example, `tensor.refine_names` supports things like the following:
```
x = torch.randn(2, 3, 4, 5, 6)
x_out = x.refine_names('*', 'H', 'W') # refine only the last two
dimensions
```
This PR changes it so that named tensor API functions recognize `'...'`
(in Python 2 and Python 3) and `...` (in Python 3 exclusively) instead
of `'*'`.
Test Plan:
- [namedtensor ci]
nairbv
reviewed
Sep 17, 2019
| self.assertEqual(named_tensor.renamed('*').names, named_tensor.names) | ||
| self.assertEqual(named_tensor.renamed('*', 'width').names, | ||
| self.assertEqual(named_tensor.renamed('...').names, named_tensor.names) | ||
| self.assertEqual(named_tensor.renamed('...', 'width').names, |
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in python3 these all work without the quotes?
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Yes! There's an explicit python-3 test for this behavior somewhere in this file
…ns."
Python 3 lets us use `...` to perform indexing. Semantically, `...`
means "the rest of the unspecified dimensions". For example, while
indexing, one can do (for 5D `tensor`) `tensor[0, 0, ..., 0]` and
the `...` is expanded into `tensor[0, 0, :, :, 0]`.
Previously, we were using '*' to represent a similar behavior in names.
For example, `tensor.refine_names` supports things like the following:
```
x = torch.randn(2, 3, 4, 5, 6)
x_out = x.refine_names('*', 'H', 'W') # refine only the last two
dimensions
```
This PR changes it so that named tensor API functions recognize `'...'`
(in Python 2 and Python 3) and `...` (in Python 3 exclusively) instead
of `'*'`.
Test Plan:
- [namedtensor ci]
Differential Revision: [D17424666](https://our.internmc.facebook.com/intern/diff/D17424666)
…ns."
Python 3 lets us use `...` to perform indexing. Semantically, `...`
means "the rest of the unspecified dimensions". For example, while
indexing, one can do (for 5D `tensor`) `tensor[0, 0, ..., 0]` and
the `...` is expanded into `tensor[0, 0, :, :, 0]`.
Previously, we were using '*' to represent a similar behavior in names.
For example, `tensor.refine_names` supports things like the following:
```
x = torch.randn(2, 3, 4, 5, 6)
x_out = x.refine_names('*', 'H', 'W') # refine only the last two
dimensions
```
This PR changes it so that named tensor API functions recognize `'...'`
(in Python 2 and Python 3) and `...` (in Python 3 exclusively) instead
of `'*'`.
Test Plan:
- [namedtensor ci]
Differential Revision: [D17424666](https://our.internmc.facebook.com/intern/diff/D17424666)
zou3519
added a commit
that referenced
this pull request
Sep 18, 2019
Python 3 lets us use `...` to perform indexing. Semantically, `...`
means "the rest of the unspecified dimensions". For example, while
indexing, one can do (for 5D `tensor`) `tensor[0, 0, ..., 0]` and
the `...` is expanded into `tensor[0, 0, :, :, 0]`.
Previously, we were using '*' to represent a similar behavior in names.
For example, `tensor.refine_names` supports things like the following:
```
x = torch.randn(2, 3, 4, 5, 6)
x_out = x.refine_names('*', 'H', 'W') # refine only the last two
dimensions
```
This PR changes it so that named tensor API functions recognize `'...'`
(in Python 2 and Python 3) and `...` (in Python 3 exclusively) instead
of `'*'`.
Test Plan:
- [namedtensor ci]
ghstack-source-id: 89819ee
Pull Request resolved: #26350
Contributor
laurentdupin
pushed a commit
to laurentdupin/pytorch
that referenced
this pull request
Apr 24, 2026
…h#26350) Summary: Pull Request resolved: pytorch#26350 Python 3 lets us use `...` to perform indexing. Semantically, `...` means "the rest of the unspecified dimensions". For example, while indexing, one can do (for 5D `tensor`) `tensor[0, 0, ..., 0]` and the `...` is expanded into `tensor[0, 0, :, :, 0]`. Previously, we were using '*' to represent a similar behavior in names. For example, `tensor.refine_names` supports things like the following: ``` x = torch.randn(2, 3, 4, 5, 6) x_out = x.refine_names('*', 'H', 'W') # refine only the last two dimensions ``` This PR changes it so that named tensor API functions recognize `'...'` (in Python 2 and Python 3) and `...` (in Python 3 exclusively) instead of `'*'`. Test Plan: - [namedtensor ci] Differential Revision: D17424666 Pulled By: zou3519 fbshipit-source-id: 003182879fd38ced3fea051217572a457cdaf7cf
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Stack from ghstack:
...for named tensor API functions. #26350 Change '*' to '...' and...for named tensor API functions.Python 3 lets us use
...to perform indexing. Semantically,...means "the rest of the unspecified dimensions". For example, while
indexing, one can do (for 5D
tensor)tensor[0, 0, ..., 0]andthe
...is expanded intotensor[0, 0, :, :, 0].Previously, we were using '*' to represent a similar behavior in names.
For example,
tensor.refine_namessupports things like the following:This PR changes it so that named tensor API functions recognize
'...'(in Python 2 and Python 3) and
...(in Python 3 exclusively) insteadof
'*'.Test Plan:
Differential Revision: D17424666