"src/targets/gpu/device/convert.cpp" did not exist on "efa8d9f4c71a549d9f8d27ebc26ee4ddd1588f7b"
- 13 May, 2017 1 commit
-
-
Neal Wu authored
-
- 05 May, 2017 2 commits
-
-
Andrew Hundt authored
-
Andrew Hundt authored
-
- 21 Apr, 2017 1 commit
-
-
Egor-Krivov authored
'xrange' was used in multiple places. In this setting it provided no measurable gain in terms of performance or memory, but broke python3 compatibility. It was replaced with 'range'
-
- 11 Apr, 2017 1 commit
-
-
vonclites authored
* Fixed model_deploy to correctly assign weights to variables_device * Adding test for network_fn's arg_scope * Style fix (double blank line) * Add WORKSPACE file to models/slim so that imports work properly
-
- 10 Apr, 2017 1 commit
-
-
Daniil Pakhomov authored
-
- 16 Mar, 2017 4 commits
-
-
Neal Wu authored
-
Neal Wu authored
-
Stefan Zechner authored
Align model slim/resnet to slim/inception (set spatial_squeeze and default_image_size). Add a sample script for training resnet_v1_50 on flower set
-
Neal Wu authored
-
- 15 Mar, 2017 1 commit
-
-
Neal Wu authored
-
- 14 Mar, 2017 3 commits
- 20 Feb, 2017 2 commits
-
-
Joshua Howard authored
-
Andrew Selle authored
-
- 15 Feb, 2017 1 commit
-
-
Jun Kim authored
The average pool is used but named 'MaxPool_0a_7x7'. Change it to 'AvgPool_0a_7x7'.
-
- 19 Jan, 2017 1 commit
-
-
james mike dupont authored
-
- 15 Nov, 2016 1 commit
-
-
Alex Kurakin authored
-
- 14 Nov, 2016 1 commit
-
-
Alex Alemi authored
-
- 18 Oct, 2016 1 commit
-
-
Rohit Girdhar authored
-
- 01 Oct, 2016 2 commits
- 30 Aug, 2016 1 commit
-
-
Nathan Silberman authored
-
- 27 Aug, 2016 1 commit
-
-
nathansilberman authored
-
