- 05 Mar, 2020 1 commit
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Hongkun Yu authored
PiperOrigin-RevId: 299160422
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- 03 Dec, 2019 1 commit
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A. Unique TensorFlower authored
PiperOrigin-RevId: 283449673
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- 26 Nov, 2019 1 commit
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A. Unique TensorFlower authored
PiperOrigin-RevId: 282650416
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- 16 Oct, 2019 1 commit
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Reed Wanderman-Milne authored
To test, I did 50 fp32 runs and 50 fp16 runs. I used the following command: python ncf_keras_main.py --dataset=ml-20m --num_gpus=1 --train_epochs=10 --clean --batch_size=99000 --learning_rate=0.00382059 --beta1=0.783529 --beta2=0.909003 --epsilon=1.45439e-7 --layers=256,256,128,64 --num_factors=64 --hr_threshold=0.635 --ml_perf --nouse_synthetic_data --data_dir ~/ncf_data_dir_python3 --model_dir ~/tmp_model_dir --keras_use_ctl For the fp16 runs, I added --dtype=fp16. The average hit-rate for both fp16 and fp32 was 0.6365. I also did 50 runs with the mixed precision graph rewrite, and the average hit-rate was 0.6363. The difference is likely due to noise. PiperOrigin-RevId: 275059871
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- 24 Sep, 2019 1 commit
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Bruce Fontaine authored
PiperOrigin-RevId: 270926016
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- 17 Sep, 2019 1 commit
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Hongkun Yu authored
Move movielens to recommendation PiperOrigin-RevId: 269680664
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- 05 Sep, 2019 1 commit
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David Chen authored
PiperOrigin-RevId: 267486140
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- 04 Sep, 2019 1 commit
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David Chen authored
PiperOrigin-RevId: 267063166
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- 14 Aug, 2019 4 commits
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A. Unique TensorFlower authored
PiperOrigin-RevId: 263401952
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Hongkun Yu authored
PiperOrigin-RevId: 263257133
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tf-models-copybara-bot authored
PiperOrigin-RevId: 263204353
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Nimit Nigania authored
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- 12 Aug, 2019 1 commit
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Hongjun Choi authored
262988559 by A. Unique TensorFlower<gardener@tensorflow.org>: Enable NCF TF 2.0 model to run on TPUStrategy. -- 262971756 by A. Unique TensorFlower<gardener@tensorflow.org>: Internal change 262967691 by hongkuny<hongkuny@google.com>: Internal -- PiperOrigin-RevId: 262988559
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- 09 Aug, 2019 2 commits
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Nimit Nigania authored
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Toby Boyd authored
* Add run_eagerly for ctl. * fix test name and do not set "default".
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- 06 Aug, 2019 1 commit
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Toby Boyd authored
* force_v2_in_keras_compile FLAG default to None and added seperate temp path. * switch to force testing 1v path not force v2 path. * Rename function force_v1_path.
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- 31 Jul, 2019 2 commits
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Hongjun Choi authored
* Merged commit includes the following changes: 260800447 by A. Unique TensorFlower<gardener@tensorflow.org>: Fix tf function signature errors for NCF model. -- 260767064 by psv<psv@google.com>: Renames the `run_distributed` flag to `experimental_run_tf_function` and modifies the tests generated by the keras_all_modes decorator to better reflect that. -- PiperOrigin-RevId: 260800447 * Update ncf_keras_benchmark.py * Update ncf_keras_benchmark.py * Update ncf_keras_benchmark.py * Update ncf_keras_benchmark.py -
Toby Boyd authored
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- 30 Jul, 2019 1 commit
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Hongjun Choi authored
260622966 by A. Unique TensorFlower<gardener@tensorflow.org>: Add absl_app import. -- PiperOrigin-RevId: 260622966
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- 29 Jul, 2019 1 commit
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Hongjun Choi authored
260228553 by priyag<priyag@google.com>: Enable transformer and NCF official model tests. Also fix some minor issues so that all tests pass with TF 1 + enable_v2_behavior. -- 260043210 by A. Unique TensorFlower<gardener@tensorflow.org>: Add logic to train NCF model using offline generated data. -- 259778607 by priyag<priyag@google.com>: Internal change 259656389 by hongkuny<hongkuny@google.com>: Internal change PiperOrigin-RevId: 260228553
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- 23 Jul, 2019 1 commit
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Toby Boyd authored
* Add force_run_distributed tests. * Added enable_eager * r/force_run_distributed/force_v2_in_keras_compile * Adding force_v2 tests and FLAGs. * Rename method to avoid conflict. * Add cpu force_v2 tests. * fix lint, wrap line. * change to force_v2_in_keras_compile * Update method name. * Lower mlperf target to 0.736.
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- 20 Jul, 2019 1 commit
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Toby Boyd authored
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- 19 Jul, 2019 2 commits
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guptapriya authored
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guptapriya authored
This combination does not yet work. Fail early with an explicit message instead of throwing error later on.
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- 16 Jul, 2019 1 commit
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nnigania authored
* Ncf perf changes 1)exclude metric layer from CTL train step 2)dataset optimization to fix size of the sample_weights, preventing a costly broadcast during loss calculation for multi-gpu case
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- 08 Jul, 2019 1 commit
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Toby Boyd authored
* reduce iterations from 20 to 12. * add fp16 dynamic batch accuracy check. * fix existing lint issue.
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- 28 Jun, 2019 1 commit
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nnigania authored
* borrowing a tf1.x optimization which converts gradients from sparse to dense for better perf * cleanup after code review
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- 21 Jun, 2019 1 commit
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Toby Boyd authored
* XLA FP32 and first test * More XLA benchmarks FP32. * Add eager to NCF and refactor resnet. * fix v2_0 calls and more flag refactor. * Remove extra flag args. * 90 epoch default * add return * remove xla not used by estimator. * Remove duplicate run_eagerly. * fix flag defaults. * Remove fp16_implementation flag option. * Remove stop early on mlperf test. * remove unneeded args. * load flags from keras mains.
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- 13 Jun, 2019 7 commits
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guptapriya authored
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guptapriya authored
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guptapriya authored
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guptapriya authored
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guptapriya authored
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guptapriya authored
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guptapriya authored
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- 05 Jun, 2019 4 commits
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guptapriya authored
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guptapriya authored
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guptapriya authored
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guptapriya authored
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- 03 Jun, 2019 1 commit
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guptapriya authored
* Add CTL benchmark * Divide train loss by number of train steps * increase num epochs to 10 * add benchmark for early stopping with CTL * remove whitespace
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