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    • Haoyu Zhang's avatar
      Merged commit includes the following changes: (#7354) · dc4c5f1a
      Haoyu Zhang authored 
      261171038  by gjn<gjn@google.com>:

    Remove weight_decay_rate 0 early exit check

    Removing this code path should be fine since this was actually not doing
    what it meant to do. Since weight_decay_rate is actually a tensor, the
    equality check was only looking at the id of the object and comparing to
    0. This should never be true. Evaluating a tensor is also not what we
    want to do at this point of the code. Thus it should be fine to simply
    remove this code.

--
261169862  by haoyuzhang<haoyuzhang@google.com>:

    Internal change

261153520  by haoyuzhang<haoyuzhang@google.com>:

    Internal change

261140302  by hongkuny<hongkuny@google.com>:

    Clean up

--

PiperOrigin-RevId: 261171038
      dc4c5f1a
  53. 19 Jul, 2019 1 commit
    • Hongkun Yu's avatar
      Merged commit includes the following changes: (#7255) · 32fadf00
      Hongkun Yu authored 
      258881002  by hongkuny<hongkuny@google.com>:

    Fix lint.

--
258874998  by hongkuny<hongkuny@google.com>:

    Internal

--
258872662  by hongkuny<hongkuny@google.com>:

    Fix doc

--
258871624  by hongkuny<hongkuny@google.com>:

    Internal change

PiperOrigin-RevId: 258881002
      32fadf00
  55. 18 Jul, 2019 1 commit
    • Hongkun Yu's avatar
      Merged commit includes the following changes: (#7252) · 1fb34e76
      Hongkun Yu authored 
      258597234  by rxsang<rxsang@google.com>:

    Update all the TPUStrategy examples to use the new v2 APIs, i.e.
    make_dataset_iterator -> experimental_distribute_dataset,
    make_input_fn_iterator -> experimental_distribute_datasets_from_function,
    unwrap -> experimental_local_results,
    experimental_run -> experimental_run_v2

--
258581998  by taylorrobie<taylorrobie@google.com>:

    Update keras v2 optimizers to reuse coefficients which are shared across all updates, which reduces the total number of ops created by between 5% (for simple optimizers such as SGD and Adagrad) and 25% (for complicated optimizers such as Adam and NAdam). Separate copies are made for each device and dtype.

    The effect of this change on run time is fairly minimal since Grappler is expected to consolidate most of these ops; however it does improve graph construction time.

--

PiperOrigin-RevId: 258597234
      1fb34e76