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Document type function returns type with no args #1719

Merged
merged 1 commit into from
Jun 5, 2017
Merged

Document type function returns type with no args #1719

merged 1 commit into from
Jun 5, 2017

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Kaixhin
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@Kaixhin Kaixhin commented Jun 4, 2017

Realised that the docs may not be so obvious on this.

@apaszke
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apaszke commented Jun 4, 2017 •
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Actually we should probably deprecate and remove it. It's better to use type(tensor) (Python builtin).

@Kaixhin
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Kaixhin commented Jun 4, 2017

The result of this reads a little easier, but yes essentially provides the same information as the builtin. I'll leave the fate of this PR up to you.

@soumith soumith merged commit ddf6328 into pytorch:master Jun 5, 2017
@houseroad houseroad mentioned this pull request Jan 10, 2019
Closed
houseroad added a commit to houseroad/pytorch that referenced this pull request Jan 10, 2019
@houseroad @facebook-github-bot
Automatic update of fbcode/onnx to 7abd834091f1024c11749dcfd25126802d…
6060880 
…b9fdd5

Summary:
Previous import was 8384c788939bc65463f9754b6a7a00b212b18ba1

Included changes:
- **[7abd834](onnx/onnx@7abd834)**: Clarify some aspects of the Loop spec. (pytorch#1587) <Scott McKay>
- **[5a5b15f](onnx/onnx@5a5b15f)**: Support rtol and atol at the model granularity (pytorch#1723) <Lu Fang>
- **[ba76e45](onnx/onnx@ba76e45)**: print some information (pytorch#1724) <Lu Fang>
- **[797390d](onnx/onnx@797390d)**: Update README.md (pytorch#1722) <Prasanth Pulavarthi>
- **[40cdb5f](onnx/onnx@40cdb5f)**: repaire convtranspose shape inference (pytorch#1660) <peter yang>
- **[68fdb3f](onnx/onnx@68fdb3f)**: [Minor] Fix Windows line ending in test coverage generating script (pytorch#1717) <Raymond Yang>
- **[00101bf](onnx/onnx@00101bf)**: Remove ConstantLike op. Updates to ConstantOfShape op. (pytorch#1716) <Spandan Tiwari>
- **[c59e90a](onnx/onnx@c59e90a)**: add a shape inference test for group conv (pytorch#1719) <Lu Fang>

Reviewed By: zrphercule

Differential Revision: D13629499

fbshipit-source-id: 61d4b30be2018f6b1e39a6acf9d80f8a5f26d7fc
facebook-github-bot pushed a commit that referenced this pull request Jan 11, 2019
@houseroad @facebook-github-bot
Automatic update of fbcode/onnx to 7abd834091f1024c11749dcfd25126802d…
7841fe4 
…b9fdd5 (#15942)

Summary:
Pull Request resolved: #15942

Previous import was 8384c788939bc65463f9754b6a7a00b212b18ba1

Included changes:
- **[7abd834](onnx/onnx@7abd834)**: Clarify some aspects of the Loop spec. (#1587) <Scott McKay>
- **[5a5b15f](onnx/onnx@5a5b15f)**: Support rtol and atol at the model granularity (#1723) <Lu Fang>
- **[ba76e45](onnx/onnx@ba76e45)**: print some information (#1724) <Lu Fang>
- **[797390d](onnx/onnx@797390d)**: Update README.md (#1722) <Prasanth Pulavarthi>
- **[40cdb5f](onnx/onnx@40cdb5f)**: repaire convtranspose shape inference (#1660) <peter yang>
- **[68fdb3f](onnx/onnx@68fdb3f)**: [Minor] Fix Windows line ending in test coverage generating script (#1717) <Raymond Yang>
- **[00101bf](onnx/onnx@00101bf)**: Remove ConstantLike op. Updates to ConstantOfShape op. (#1716) <Spandan Tiwari>
- **[c59e90a](onnx/onnx@c59e90a)**: add a shape inference test for group conv (#1719) <Lu Fang>

Reviewed By: zrphercule

Differential Revision: D13629499

fbshipit-source-id: 4b3e4cb29bdb84c3777a8fb26263548efb20f317
jjsjann123 pushed a commit to jjsjann123/pytorch that referenced this pull request May 24, 2022
@naoyam
More precise concretization analysis (pytorch#1719)
151d95b 
* If a broadcast is concretized to multiple concrete domains but they are
exactly mapped, do not consider it's non-uniquely concretized
malfet pushed a commit that referenced this pull request Jun 8, 2022
@jjsjann123 @malfet
[nvfuser_upstream_push] nvfuser code base bump 052422 (#78244)
9e52ad2 
Syncing nvfuser devel branch to upstream master. https://github.com/csarofeen/pytorch/

A few bigger updates:
1. Initial support of cp.async and cp.async.wait: csarofeen#1619
2. Emulate ampere's mma 16816 with Turing's mma 1688, for a unified interface: csarofeen#1643
3. Extending the infrastructure to support mma operators on turing and ampere arch: csarofeen#1440

Commits that's actually in this PR from the csarofeen branch
```
* dd23252 (csarofeen/devel) Fusion Segmenter: Unify single kernel and multi-kernel runtime path (#1710)
* b3d1c3f Fix missing cooperative launch (#1726)
* dc670a2 Async gmem copy support on sm80+ (#1619)
* 5e6a8da Add turing mma support and test (#1643)
* d6d6b7d Fix rFactor when there are indirect root domain(s), and refactor (#1723)
* 7093e39 Mma op integration on ampere (#1440)
* fade8da patch python test for bfloat16 (#1724)
* 8fbd0b1 Fine-grained kernel profiling (#1720)
* 77c1b4f Adding dry run mode to skip arch dependent checks (#1702)
* 151d95b More precise concretization analysis (#1719)
* f4d3630 Enable complex python tests (#1667)
* 4ceeee5 Minor bugfix in transform_rfactor.cpp (#1715)
* 3675c70 Separate root domain and rfactor domain in TransformPrinter (#1716)
* f68b830 Fix scheduling with polymorphic broadcast (#1714)
* 4ab5ef7 updating_ci_machine (#1718)
* 56585c5 Merge pull request #1711 from csarofeen/upstream_master_bump_0517
* 174d453 Allow using nvFuser on CUDA extension (#1701)
* 18bee67 Validate LOOP concrete IDs have complete IterDomains (#1676)
```
Pull Request resolved: #78244
Approved by: https://github.com/csarofeen, https://github.com/malfet
facebook-github-bot pushed a commit that referenced this pull request Jun 8, 2022
@jjsjann123 @facebook-github-bot
[nvfuser_upstream_push] nvfuser code base bump 052422 (#78244)
dcb4411 
Summary:
Syncing nvfuser devel branch to upstream master. https://github.com/csarofeen/pytorch/

A few bigger updates:
1. Initial support of cp.async and cp.async.wait: csarofeen#1619
2. Emulate ampere's mma 16816 with Turing's mma 1688, for a unified interface: csarofeen#1643
3. Extending the infrastructure to support mma operators on turing and ampere arch: csarofeen#1440

Commits that's actually in this PR from the csarofeen branch
```
* dd23252 (csarofeen/devel) Fusion Segmenter: Unify single kernel and multi-kernel runtime path (#1710)
* b3d1c3f Fix missing cooperative launch (#1726)
* dc670a2 Async gmem copy support on sm80+ (#1619)
* 5e6a8da Add turing mma support and test (#1643)
* d6d6b7d Fix rFactor when there are indirect root domain(s), and refactor (#1723)
* 7093e39 Mma op integration on ampere (#1440)
* fade8da patch python test for bfloat16 (#1724)
* 8fbd0b1 Fine-grained kernel profiling (#1720)
* 77c1b4f Adding dry run mode to skip arch dependent checks (#1702)
* 151d95b More precise concretization analysis (#1719)
* f4d3630 Enable complex python tests (#1667)
* 4ceeee5 Minor bugfix in transform_rfactor.cpp (#1715)
* 3675c70 Separate root domain and rfactor domain in TransformPrinter (#1716)
* f68b830 Fix scheduling with polymorphic broadcast (#1714)
* 4ab5ef7 updating_ci_machine (#1718)
* 56585c5 Merge pull request #1711 from csarofeen/upstream_master_bump_0517
* 174d453 Allow using nvFuser on CUDA extension (#1701)
* 18bee67 Validate LOOP concrete IDs have complete IterDomains (#1676)
```

Pull Request resolved: #78244

Reviewed By: ejguan

Differential Revision: D36678948

Pulled By: davidberard98

fbshipit-source-id: 0ccde965acbd31da67d99c6adb2eaaa888948105
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4 participants
@Kaixhin @apaszke @ezyang @soumith