1. 16 Dec, 2019 1 commit
  2. 17 Sep, 2019 1 commit
  3. 12 Aug, 2019 1 commit
    • Hongjun Choi's avatar
      Merged commit includes the following changes: (#7430) · 03b4a0af
      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
      03b4a0af
  4. 22 Apr, 2019 1 commit
  5. 20 Apr, 2019 1 commit
    • Shining Sun's avatar
      Remove contrib imports, or move them inline (#6591) · 8ff9eb54
      Shining Sun authored
      * Remove contrib imports, or move them inline
      
      * Use exposed API for FixedLenFeature
      
      * Replace tf.logging with absl logging
      
      * Change GFile to v2 APIs
      
      * replace tf.logging with absl loggin in movielens
      
      * Fixing an import bug
      
      * Change gfile to v2 APIs in code
      
      * Swap to keras optimizer v2
      
      * Bug fix for optimizer
      
      * Change tf.log to tf.keras.backend.log
      
      * Change the loss function to keras loss
      
      * convert another loss to keras loss
      
      * Resolve comments and fix lint
      
      * Add a doc string
      
      * Fix existing tests and add new tests for DS
      
      * Added tests for multi-replica
      
      * Fix lint
      
      * resolve comments
      
      * make estimator run in tf2.0
      
      * use compat v1 loss
      
      * fix lint issue
      8ff9eb54
  6. 01 Mar, 2019 1 commit
    • Shining Sun's avatar
      Keras-fy NCF Model (#6092) · 048e5bff
      Shining Sun authored
      * tmp commit
      
      * tmp commit
      
      * first attempt (without eval)
      
      * Bug fixes
      
      * bug fixes
      
      * training done
      
      * Loss NAN, no eval
      
      * Loss weight problem solved
      
      * resolve the NAN loss problem
      
      * Problem solved. Clean up needed
      
      * Added a todo
      
      * Remove debug prints
      
      * Extract get_optimizer to ncf_common
      
      * Move metrics computation back to neumf; use DS.scope api
      
      * Extract DS.scope code to utils
      
      * lint fixes
      
      * Move obtaining DS above producer.start to avoid race condition
      
      * move pt 1
      
      * move pt 2
      
      * Update the run script
      
      * Wrap keras_model related code into functions
      
      * Update the doc for softmax_logitfy and change the method name
      
      * Resolve PR comments
      
      * working version with: eager, DS, batch and no masks
      
      * Remove git conflict indicator
      
      * move reshape to neumf_model
      
      * working version, not converge
      
      * converged
      
      * fix a test
      
      * more lint fix
      
      * more lint fix
      
      * more lint fixes
      
      * more lint fix
      
      * Removed unused imports
      
      * fix test
      
      * dummy commit for kicking of checks
      
      * fix lint issue
      
      * dummy input to kick off checks
      
      * dummy input to kick off checks
      
      * add collective to dist strat
      
      * addressed review comments
      
      * add a doc string
      048e5bff