3 Commits

Author	SHA1	Message	Date
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