review.tizen.org Git - platform/upstream/pytorch.git/commit

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

author	vishwakftw <cs15btech11043@iith.ac.in>
	Tue, 26 Mar 2019 14:49:58 +0000 (07:49 -0700)
committer	Facebook Github Bot <facebook-github-bot@users.noreply.github.com>
	Tue, 26 Mar 2019 14:53:07 +0000 (07:53 -0700)
commit	5e462a3ed6ec88a022e1ab4d60f9e2282e96ec44
tree	0e23d6442a8e7d39c3fd1f7b7dfc09d8303b894c	tree \| snapshot
parent	9080942afb0f53be24efd3e213a39f1c270b8e5c	commit \| diff

aten/src/ATen/native/SobolEngineOps.cpp	[new file with mode: 0644]	blob
aten/src/ATen/native/SobolEngineOpsUtils.h	[new file with mode: 0644]	blob
aten/src/ATen/native/native_functions.yaml		diff \| blob \| history
docs/source/torch.rst		diff \| blob \| history
test/test_torch.py		diff \| blob \| history
tools/autograd/gen_variable_type.py		diff \| blob \| history
torch/__init__.py		diff \| blob \| history
torch/quasirandom.py	[new file with mode: 0644]	blob