Skip to content

GitLab

Switch branch/tag
  1. 07 May, 2021 1 commit
  3. 16 Mar, 2021 1 commit
  5. 02 Mar, 2021 1 commit
  7. 01 Mar, 2021 2 commits
  9. 12 Oct, 2020 1 commit
  11. 22 Sep, 2020 1 commit
  13. 12 Aug, 2020 1 commit
  15. 10 Aug, 2020 1 commit
  17. 16 Jul, 2020 1 commit
  19. 15 Jul, 2020 1 commit
  21. 14 Jul, 2020 2 commits
  23. 13 Jul, 2020 4 commits
  25. 01 May, 2020 1 commit
  27. 21 Apr, 2020 1 commit
  29. 14 Apr, 2020 2 commits
  31. 13 Apr, 2020 1 commit
  33. 12 Apr, 2020 1 commit
  35. 11 Apr, 2020 1 commit
  37. 09 Apr, 2020 1 commit
  39. 03 Apr, 2020 1 commit
  41. 16 Mar, 2020 1 commit
  43. 13 Mar, 2020 1 commit
  45. 11 Mar, 2020 1 commit
  47. 09 Mar, 2020 1 commit
  49. 03 Mar, 2020 1 commit
  51. 06 Feb, 2020 1 commit
  53. 01 Feb, 2020 1 commit
  55. 28 Jan, 2020 1 commit
  57. 14 Dec, 2019 1 commit
  59. 27 Nov, 2019 1 commit
  61. 25 Nov, 2019 1 commit
    • Sai Ganesh Bandiatmakuri's avatar
      Inject enable_runtime_flags into benchmarks. · bcce419a
      Sai Ganesh Bandiatmakuri authored 
      This will help general debugging by enabling custom execution with  --benchmark_method_steps.

E.g --benchmark_method_steps=train_steps=7 will run the benchmark for only 7 steps without modifying benchmark code.

PiperOrigin-RevId: 282396875
      bcce419a
  63. 01 Nov, 2019 1 commit
    • Reed Wanderman-Milne's avatar
      Support fp16 using tf.keras.mixed_precision in CTL resnet. · ffa522ea
      Reed Wanderman-Milne authored 
      To test, I ran the following command:

python resnet_ctl_imagenet_main.py --batch_size=2048 --data_dir ~/imagenet --datasets_num_private_threads=14 --epochs_between_evals=10 --model_dir ~/tmp_model_dir --clean --num_gpus=8 --train_epochs=90 --dtype=fp16

I got 76.15% final evaluation accuracy.

PiperOrigin-RevId: 278010061
      ffa522ea
  65. 18 Oct, 2019 1 commit
  67. 17 Oct, 2019 1 commit