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7 Commits

Author SHA1 Message Date
Jerry Zhang
63e77ab6c4 Move numa.{h, cc} to c10/util (#15024) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/15024

Pull Request resolved: https://github.com/pytorch/pytorch/pull/14393

att

Reviewed By: dzhulgakov

Differential Revision: D13380559

fbshipit-source-id: abc3fc7321cf37323f756dfd614c7b41978734e4
 2018-12-12 12:21:10 -08:00
Yudong Guang
265b55d028 Revert D13205604: Move numa.{h, cc} to c10/util 
Differential Revision:
D13205604

Original commit changeset: 54166492d318

fbshipit-source-id: 89b6833518c0b554668c88ae38d97fbc47e2de17
 2018-12-07 10:01:25 -08:00
Jerry Zhang
1d111853ae Move numa.{h, cc} to c10/util (#14393) 
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/14393

att

Reviewed By: ezyang

Differential Revision: D13205604

fbshipit-source-id: 54166492d31827b0343ed070cc36a825dd86e2ed
 2018-12-06 11:30:13 -08:00
Yangqing Jia
38f3d1fc40 move flags to c10 (#12144) 
Summary:
still influx.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/12144

Reviewed By: smessmer

Differential Revision: D10140176

Pulled By: Yangqing

fbshipit-source-id: 1a313abed022039333e3925d19f8b3ef2d95306c
 2018-10-04 02:09:56 -07:00
Yangqing Jia
0a809fc8b1 build changes to make cpu unified build working. (#10504) 
Summary:
Properly annotated all apis for cpu front. Checked with cmake using

cmake -DUSE_ATEN=ON -DUSE_CUDA=OFF -DBUILD_ATEN=ON

and resulting libcaffe2.so has about 11k symbols.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/10504

Reviewed By: ezyang

Differential Revision: D9316491

Pulled By: Yangqing

fbshipit-source-id: 215659abf350af7032e9a4b0f28a856babab2454
 2018-08-15 17:22:36 -07:00
Orion Reblitz-Richardson
1d5780d42c Remove Apache headers from source. 
* LICENSE file contains details, so removing from individual source files.
 2018-03-27 13:10:18 -07:00
Dmytro Dzhulgakov
9e71de398b [core] Graph-level NUMA awareness in Caffe2 
Adding NUMA awareness through numa_node_id in DeviceOption. Blobs of operators
with numa_node_id are allocated on corr. memory banks, using CPU pools with
NUMA affinity set to run operators.
 2018-03-06 00:33:11 -08:00