pytorch/caffe2/python/modeling
Chenguang Xi 96a1f7695f Support plot norm of specific embeddings of a LUT in diagnose_options (#19809)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/19809

as title

Reviewed By: chocjy

Differential Revision: D15100505

fbshipit-source-id: cba290fd4317b260e2bf1689b9ca215d3d19a9e2
2019-05-18 01:08:45 -07:00
..
__init__.py Experimental support for setup.py develop mode install 2018-02-12 23:36:18 -08:00
compute_histogram_for_blobs_test.py [caffe2] Fbcode to GitHub sync (#6208) 2018-04-02 16:35:27 -07:00
compute_histogram_for_blobs.py [caffe2] Fbcode to GitHub sync (#6208) 2018-04-02 16:35:27 -07:00
compute_norm_for_blobs_test.py Support plot norm of specific embeddings of a LUT in diagnose_options (#19809) 2019-05-18 01:08:45 -07:00
compute_norm_for_blobs.py Support plot norm of specific embeddings of a LUT in diagnose_options (#19809) 2019-05-18 01:08:45 -07:00
compute_statistics_for_blobs_test.py [caffe2] Fbcode to GitHub sync (#6208) 2018-04-02 16:35:27 -07:00
compute_statistics_for_blobs.py [caffe2] Fbcode to GitHub sync (#6208) 2018-04-02 16:35:27 -07:00
get_entry_from_blobs_test.py diagnose option: get_entry to print a whole row (#11308) 2018-09-06 21:26:30 -07:00
get_entry_from_blobs.py diagnose option: get_entry to print a whole row (#11308) 2018-09-06 21:26:30 -07:00
gradient_clipping_test.py support gradClipping per blob in mtml (#10776) 2018-09-06 18:10:52 -07:00
gradient_clipping.py support gradClipping per blob in mtml (#10776) 2018-09-06 18:10:52 -07:00
initializers_test.py Remove Apache headers from source. 2018-03-27 13:10:18 -07:00
initializers.py fix the annotation 2018-07-12 18:53:59 -07:00
net_modifier.py [caffe2] Fbcode to GitHub sync (#6208) 2018-04-02 16:35:27 -07:00
parameter_info.py Remove unused code base for distributed training (#10282) 2018-08-16 20:10:17 -07:00
parameter_sharing_test.py Remove Apache headers from source. 2018-03-27 13:10:18 -07:00
parameter_sharing.py Remove Apache headers from source. 2018-03-27 13:10:18 -07:00