Change: 146316196

Change: 146316019

Change: 146314715

Change: 146314254

The better fix is to add Windows support to ParseURI, but that requires more significant changes, so leaving it as a TODO for now.
Change: 146314223

Also makes resource variables dense-tensor-like.
Change: 146310220

Change: 146309688

Comment out all the overrides except what was in the
first iteration of the change. Enable them after we've
ensured there are no build breakages.
Change: 146309050

Change: 146308381

Change: 146305718

Change: 146301808

Change: 146300684

- Marked control flow ops as hidden
Change: 146300232

- Register attribute and op renames
Change: 146298778

Change: 146298002

Remove code duplication between contrib metrics and core metrics and delete unused methods in contrib metrics.
Change: 146294596

Change: 146289701

Change: 146288841

- Create the directory if it doesn't exist
- Output formatted code
Change: 146286990

Rename training_scaffold to scaffold. First step to use scaffold in all actions: training, evaluation, inference, serving.
Change: 146285386

[TF:XLA] Add a placeholder implementation of Log1p (via log(1+x), which is not numerically accurate for x near 0).
Make some cleanups to unary_ops_test.py.
Change: 146282294

Resource variables are quite new, so this change should not affect any preexisting models. Follows up on the fix for Optimizers dealing with sparse gradients which have repeated indices.
Change: 146279378

Change: 146278252

Helps with #6267
Change: 146277178

[XLA:GPU] Make WhileTransformer match computations post fusion and copy insertion HLO passes. Switches implementation to use simple expression tree matching, and reduces the number of patterns to match to those that we care about in production (i.e. post fusion and copy insertion).

// ExecuteThunks runtime FRNN forward pass (sequence_length=30)  WhileThunk: 112ms

// ExecuteThunks runtime FRNN forward pass (sequence_length=30)  ForThunk:     6ms

// ExecuteThunks runtime FRNN forward pass (sequence_length=100) WhileThunk: 585ms

// ExecuteThunks runtime FRNN forward pass (sequence_length=100) ForThunk:   191ms
Change: 146273048

Change: 146272519

We create a reservoir that organizes health pill values by node name. Also added a
method onto the event multiplexor to fetch the health pills per run.
Change: 146272468

This seems like a reasonable thing to do, as (1) they have been in existence for ~1 year, (2) people have added new fields to them since their inception, and (3) the C API supports them.
Change: 146271432

Change: 146268982

Android: fix issue where mismatch between Inception output size and inception num classes could cause demo app to crash (due to recent CHECK added in inference interface).
Change: 146268764

multiple GPU kernels, aggregate the time for all kernels for that op.
Change: 146268331

Change: 146267759

functions for C++.  A souped-up version of the hidden_ops mechanism in
Python, the intent is to use this for most or all of the client
languages, with a common list of changes to make in a common file and
per-language overrides.

Also:
* include the documentation for outputs in the generated comments
* several updates to C++ API to match Python
* fix C++ shape function for ConcatV2 now that we use it by default
* split op_gen_lib out of core:framework, since it is only used by
  the op generators, and I don't want to add another proto to
  mobile builds
Change: 146267344

Change: 146266321

- enable contrib
- show __init__
- remove core.protobuf module
- fix bug in _get_arg_spec
- hide contrib.learn.head
Change: 146265365

Change: 146260296

Change: 146257820

Fix lookup ops documentation to use correct function names for index_to_string_table_from_tensor and index_to_string_table_from_file.
Change: 146255499

Change: 146241206

Change: 146238867