| Commit message (Collapse) | Author | Age |
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Change 109628097
Fix gcc 4.8.1 compile
Modified from patch by @assolini here:
https://github.com/tensorflow/tensorflow/issues/405
Change 109624275
Make preview frame ImageReader global so that it does not get GC'd.
This may fix an issue with connecting to the camera on some devices where the underlying Surface is prematurely cleaned up (http://stackoverflow.com/questions/33437961/android-camera-2-api-bufferqueue-has-been-abandoned).
Change 109620599
- improved test a little to make it easier to understand as it serves as an
example for users
Change 109614953
TensorFlow: update tutorials/howtos to point to correct
location of files, show python example in addition to bazel.
Change 109612732
TensorFlow: move reading_data into examples, change data dir
to /tmp/data. Validated that they all run, but these
probably need a selftest at some point.
Change 109608695
Apply 'gate_gradients' only when there is more than one real gradients.
Change 109605014
There are 3 obvious places to start using TensorFlow. 2/3 of the starting points do not have a link to the installation instructions.
Change 109604287
Make the `tf.reshape` shape function more restrictive.
Previously, it did not raise a construction-time error if the input
shape and the new shape were incompatible; now it detects this and
raises a `ValueError`.
Change 109603375
TensorFlow: Move word2vec_basic.py from g3doc/ to examples/
There are no additional libraries this uses, so nothing else
needs to be done
Change 109601289
TensorBoard tag 3
Change 109600908
Decrease number of scalar values stored by TensorBoard.
10k is more than displays nicely.
Change 109599464
Fix "smart restart" functionality in TensorBoard (it throws away dead data)
After restarts, a file_version event is created that always has step 0.
We need to ignore this.
Change 109597667
Switch to using /dev/urandom for TensorFlow randomness.
Using /dev/random leads to slowdown when running in an environment
with poor access to an entropy source (such as some VMs). /dev/urandom
has more predictable performance, and we don't require
cryptographically secure random number generation, so a PRNG is good
enough.
Also removes the use of the RNG in DirectSession construction. This
was being used to generate a session handle, which is not necessary
(since a DirectSession owns its devices, we don't need a unique handle
to key the OpSegment objects registered with the various devices).
This addresses bugs that have been reported on the mailing list and
Stack Overflow.
Change 109596906
Add an is_unsigned property to dtype
Change 109596830
Remove unnecessary fill in clip_by_value
Change 109591880
Remove Android demo's libpthread.so dummy file (required by protobuf) from repo and generate it at compile-time.
This makes the Android demo more portable, as the generated file will now always be the correct archictecture for linking.
Change 109589028
Isolating out the RTTI part of TensorFlow and add non-RTTI backups for Android.
This saves about 400KB of the compiled library, when compiling the Android
tensorflow target with -fno-rtti.
Change 109589018
Internal reworking of LSTMCell.
Change 109588229
Allow bool-valued tensors to be persisted.
Change 109577175
TensorBoard host defaults to 0.0.0.0
Change 109551438
TensorFlow: move mnist g3doc tutorials into tensorflow/examples.
Update examples to point to the correct location.
Adds tests to make sure they don't regress, do some lint cleanup.
Base CL: 109630240
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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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Changes:
- Ptrdiff -> DenseIndex change by @jiayq
- Fix to scoping the logging in logging.py by @dga
- Improvement to Conv2DBackpropFilter on CPU by Andy
- Remove lookup table wrappers for the time being (wasn't in our
public API yet) by Yukata
- Add a check similar to numpy to make sure the user isn't in the
tensorflow src directory by @vrv
- More changes for python 3 compat by @girving
- Make dropout preserve shape info from input (@mrry)
- Significant speed improvements by @zheng-xq to BFC allocator to bring
on par (CPU overhead-wise) to the region allocator. Make BFC
allocator the default now that it's working well for a variety
of models.
- Fix a bunch of typos reported by users (@vrv)
- Enable concat for bfloat16 on GPU by Ashish.
Base CL: 107733123
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Changes:
- futurize --stage2 changes for Python 3 compatibility by @girving.
- Small updates to documentation by @vrv, schuster and others
- Account for failure of std::thread::hardware_concurrency by @ebrevdo.
- More changes for backwards-compatibility tests by Josh
- Updates to python op doc generation by Josh
- Added support for using the best-fit allocator via ConfigProto by @vrv.
- Rename LocalSession to DirectSession, since local was a bad name for
it.
- Enable tf.nn.moments() to work with tensors of unknown shape by @mrry.
GITHUB_ISSUE: 139
- Changes for Android build by Andrew.
Base CL: 107645181
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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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