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cuda_stream_jit
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8 Commits

Author SHA1 Message Date
Rong Rong
5855aa8dac Type check quasirandom (#45434) 
Summary:
Fixes https://github.com/pytorch/pytorch/issues/42978.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/45434

Reviewed By: walterddr

Differential Revision: D23967139

Pulled By: ajitmaths

fbshipit-source-id: bcee6627f367fd01aa9a5c10a7c24331fc1823ad
 2020-09-28 16:49:38 -07:00
Nikita Shulga
0c01f136f3 [BE] Use f-string in various Python functions (#44161) 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/44161

Reviewed By: seemethere

Differential Revision: D23515874

Pulled By: malfet

fbshipit-source-id: 868cf65aedd58fce943c08f8e079e84e0a36df1f
 2020-09-04 07:38:25 -07:00
Edward Leardi
6b50874cb7 Fix HTTP links in documentation to HTTPS (#40878) 
Summary:
I ran `make linkcheck` using `sphinx.builders.linkcheck` on the documentation and noticed a few links weren't using HTTPS so I quickly updated them all.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/40878

Differential Revision: D22404647

Pulled By: ngimel

fbshipit-source-id: 9c9756db59197304023fddc28f252314f6cf4af3
 2020-07-06 20:05:21 -07:00
Max Balandat
379e4d9cad [pytorch] Make behavior of SobolEngine consistent w/ other RNG functions (#36427) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/36427

Addresses https://github.com/pytorch/pytorch/issues/36341

Test Plan: unit tests

Reviewed By: ldworkin

Differential Revision: D20952703

fbshipit-source-id: 28055f4c4c0f8012c2d96e473b822fa455dd833c
 2020-04-13 07:53:33 -07:00
Max Balandat
8bc889e502 Fix crash of SobolEngine if default tensor type is cuda (#32496) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/32496

Addresses https://github.com/pytorch/pytorch/issues/32494

Test Plan:
```
import torch
from torch.quasirandom import SobolEngine

torch.set_default_tensor_type(torch.cuda.FloatTensor)
se = SobolEngine(3)
```

Reviewed By: 2timesjay

Differential Revision: D19517571

fbshipit-source-id: 02eb499ffbd4260474d348e9bb536fb8c36c2c31
 2020-01-29 08:49:18 -08:00
Igor Fedan
75309b45f3 explicitly provide memory format when calling to clone() at Indexing.cpp 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/28660

Test Plan: Imported from OSS

Differential Revision: D18333346

Pulled By: ifedan

fbshipit-source-id: 06590205d883a5096388a4ae318389244130972d
 2019-11-07 05:38:32 -08:00
Max Balandat
d33623f7c1 Make SobolEngine use random seed if not specified (#24884) 
Summary:
Addresses https://github.com/pytorch/pytorch/issues/24881. Makes behavior consistent with the rest of the random functions.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/24884

Test Plan: Unit tests

Reviewed By: sdsingh

Differential Revision: D16912036

Pulled By: Balandat

fbshipit-source-id: eff00cca989926a5d9e20d8846a8674f7cd270cb
 2019-08-20 09:22:41 -07:00
vishwakftw
5e462a3ed6 Introduce SobolEngine (#10505) 
Summary:
`SobolEngine` is a quasi-random sampler used to sample points evenly between [0,1]. Here we use direction numbers to generate these samples. The maximum supported dimension for the sampler is 1111.

Documentation has been added, tests have been added based on Balandat 's references. The implementation is an optimized / tensor-ized implementation of Balandat 's implementation in Cython as provided in #9332.

This closes #9332 .

cc: soumith Balandat
Pull Request resolved: https://github.com/pytorch/pytorch/pull/10505

Reviewed By: zou3519

Differential Revision: D9330179

Pulled By: ezyang

fbshipit-source-id: 01d5588e765b33b06febe99348f14d1e7fe8e55d
 2019-03-26 07:53:07 -07:00