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PiperOrigin-RevId: 212830139
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* Change `reduce_logsumexp` to internally use `reshape` rather than `squeeze`
since the latter requires the `axis` arg to be a Python `list`.
PiperOrigin-RevId: 183396533
* Kernel utils to support broadcast add and mul.
PiperOrigin-RevId: 183397494
* Updating sparsify_gather.
PiperOrigin-RevId: 183402917
* [tf.data] Move slow-path-related code into the slow path in IteratorHandleOp::Compute().
This slightly reduces the amount of work performed when an iterator is accessed (after the first access), and potentially reduces contention if concurrent steps are accessing the same iterator.
PiperOrigin-RevId: 183406221
* Cleanup: Ran clang-format on all *.{cc,h} in under grappler.
PiperOrigin-RevId: 183406440
* Increase shard count of //third_party/tensorflow/python:nn_batchnorm_test to avoid timeouts
When run under asan, the test runs for about 5 minutes, and sometimes
longer, causing frequent timeouts.
This change increases the shard count of the test to 4, which brings the run time
of the longest running shard under asan to about 2 minutes.
PiperOrigin-RevId: 183414888
* Add available choices to toco flags and fix minor formatting issues.
PiperOrigin-RevId: 183415713
* Performance improvements to some GPU code to use shared locks instead of unique locks for some hotspot cases.
PiperOrigin-RevId: 183418559
* [XLA] Improve error message for bad slices.
PiperOrigin-RevId: 183420038
* Fix py3 build rules for all py tests under py2tf.
PiperOrigin-RevId: 183422144
* Fix bug with Operation._control_inputs setter.
PiperOrigin-RevId: 183422192
* Make softmax_op_test.py work with C API enabled.
PiperOrigin-RevId: 183422829
* Cleanup: Ran clang-format on all *.{cc,h} files in tensorflow/core/kernels.
PiperOrigin-RevId: 183423961
* Fix the documentation for the dense layer for how rank > 2 inputs are handled.
PiperOrigin-RevId: 183425868
* Cleanup: Ran clang-format on all *.{cc,h} in tensorflow/core/ops.
PiperOrigin-RevId: 183429339
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* add int32 support for seq_length in reverse_sequence
* modify gpu version of reverse_sequence
* fix bugs
* fix backwards_compatibility
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Change: 123900938
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Change: 113582098
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tensorflow/core/ files and build targets.
Change: 113075177
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After this we can replace port.h with types.h.
Change: 112727463
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directly so we can drop it from port.h.
Change: 111612474
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Change:
Clean up documentation for ReverseSequence
Change:
Updated several tensorflow operations to use 32bit indices on GPU.
Change:
Add attribute batch_dim to ReverseSequenceOp.
Change:
Fix error in convert_to_records.py. As reported in
https://github.com/tensorflow/tensorflow/issues/370
by AlexUnderMicrocontRoll.
Change:
Update TensorBoard README.
Change:
Fixes to boolean flags reported in
https://github.com/tensorflow/tensorflow/issues/379. Supports:
--bool_flag=True --> True
--bool_flag=False --> False
--bool_flag=gibberish --> False
--bool_flag --> True
--nobool_flag --> False
Fixes #379
Change:
Update generated Op docs.
Change:
Enable local development of TensorBoard using gulp
Also make tf-tensorboard a regular component rather than special case
This is mostly effected by creating tfserve.js, which is a small server
with clever routing to load from bower_components/ and components/ using
the paths that work within google3.
Workflow: `gulp serve`
Change:
Add a full working code example to the tensorboard and summaries tutorial
Change:
Fix seq2seq_test when running on GPU.
The "proj_w" and "proj_b" variables were being created before the
`test_session()`'s device function took effect, which pushed the
placement algorithm into making an incorrect decision.
Change:
Add a sentence in TensorBoard README on how to serialize summary data to logs and provide link to the how-to tutorial on the TensorFlow website.
Change:
Add error-catching code if string_input_producer is supplied a null input.
Before this change, it would die with an opaque shape error from inside
the queue. This change catches (most) python null lists being
passed directly in, and at runtime detects null tensors.
Adds two tests for this to input_test.py
Change:
Speed up for models that use the same variable multiple times in the case
where variables must be copied across devices:
- Have Variables wrap the Variable op in an Identity op when converted to Tensor.
This avoids multiple copies across devices if a variable is used multiple time
in a computation.
- Add Variable.mutable() to return the non-wrapped Variable op for used when
assigning new values.
- Add an as_ref parameter to convert_to_tensor() to allow code to specify
if they plan to assign a new value to the result of the conversion. Make Variable
return the result of Variable.mutable() when as_ref is True.
- Make all ops that assign values to variables pass as_ref=True when converting
their arguments.
Change:
Change to reduce critical section times in gpu_event_mgr.h:
(1) Call stream->ThenRecordEvent outside the EventMgr critical section
(2) Do memory deallocation outside the critical section
Speeds up one configuration of ptb_word_lm from 2924 words per
second (wps) to 3278 wps on my desktop machine with a Titan X.
Change:
Remove some colons that break the open source build
::tensorflow::StringPiece breaks for @raingo, see
https://github.com/tensorflow/tensorflow/issues/358.
tensorflow::StringPiece (without the leading colons)
seems to fix the problem.
Change:
Added check that inputs to Operation is a list and make a defensive copy of the input. This is for cases where the input list is changed such as in _add_input.
Change:
Use standard names for TensorFlow dtypes in the tutorial.
Change:
Add tests for tensor inputs.
Change:
Fix build after declaring more types for ops
Change:
Switch to 32 bit indexing to speedup convolutions and concatenations.
Change:
Add convert_image op to convert between types for images (similar to OpenCV's cvtScale).
Change:
Make cast work between numeric types (bool, uint8, int16, int32, int64, float, double).
Change:
Padding input data for odd number of paddings, so we can use cudnn anyway.
+ Fix total padding computation when padding==VALID.
+ This CL makes the Googlenet benchmark run 5x faster.
Change:
Support IndexedSlices in ConcatGrad
Change:
* sampled softmax op uses one embedding lookup for positive and negative samples
* float64 support for sampled softmax
Change:
Move RNN code out of models.rnn (without breaking existing code). The API may still undergo minor changes, until full documentation as added.
Change:
Changed to use per-step stacks for the accumulators used in while-loop gradient computation. This addresses the problem caused by using concat without sufficient static shape information. It should also improve performance as we avoided those expensive concats.
Change:
Update generated Op docs.
Change:
Improve error messages when the optimizer finds no variables to minimize or
when none of the variables has gradients.
Change:
Say that -1 isn't just for flattening in reshape docs
Also add scalar reshape (reshape(t, [])) as an example.
This fixes https://github.com/tensorflow/tensorflow/issues/281.
Change:
This is a test.
Base CL: 109118714
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Changes:
* error message that refers to removed `DefaultSession` method.
* -Wnull-conversion warnings
* the "_start_time" attr for recvs when the flag "--brain_enable_scheduling_for_recvs" is set.
* typo in tutorial data download progress message.
* a typo ("however their installing"=>"however installing").
* typo, rename "TensorFlow Mechanics" to "How To" to be consistent with the website.
* a typo ("subtact"=>"subtract").
* protobuf examples in comments in tensorflow::Example.proto.
* formula formatting in MNIST beginner tutorial
* negative fraction-of-queue-full stats
* protobuf inclusion path so that Android demo will build under Blaze.
* small typo (moderatly > moderately)
* Session.run() to check that tensor arguments come from the session's graph.
* another six import
* seq2seq typo in bazel command
Base CL: 108349164
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error handling, updates to website.
Changes:
- Removes redundant reshape from image models by @mrry
- Default TensorBoard to localhost by @danmane
- Reformatting of tensorflow/core by @josh11b
- Make tutorials backwards compatible to 0.5.0 by @girving
- Improve print documentation (md files not updated).
- Add proper scrolling to sitemap by @martinwicke
Base CL: 107956254
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TensorFlow is an open source software library for numerical computation
using data flow graphs.
Base CL: 107276108
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Asim Shankar
Rasmus Munk Larsen
CQY
Ziming Dong
A. Unique TensorFlower
Vijay Vasudevan
Josh Levenberg
Manjunath Kudlur