| Commit message (Collapse) | Author | Age |
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third_party/eigen3 copy
to being part of TF, add tests."
Change: 117587217
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Change: 117570343
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copy
to being part of TF, add tests."
Change: 117519243
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to being part of TF, add tests.
Change: 117509710
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Change: 117506296
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Also fixed compilation issues with cuda devices that support the compute model 5.3
Change: 117493644
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Change: 117375570
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Change: 117304114
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Change: 117301677
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Change: 116925769
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Change: 116831720
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both avx instructions and cuda to run as fast as possible.
Change: 116775924
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other than 0 and significantly speeds up a number of computations on GPUs.
Change: 116607765
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Checking for a specific crosstool_top directory doesn't work when TensorFlow
is a sub-module for a different project.
Change: 116592676
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GPUs
Change: 116409601
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Change: 116063261
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Change: 115889721
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Change: 115280348
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Change: 115268843
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floats in TensorFlow. The code was tested on Tegra x1.
Change: 115253733
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Change: 114882676
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Change: 114585944
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Eigen::CompleteOrthogonalDecomposition (COD), which I recently contributed to Eigen in https://bitbucket.org/eigen/eigen/pull-requests/163/implement-complete-orthogonal/diff
The advantage of COD over column pivoted QR is that it is able to compute the minimum-norm solution when the matrix is rank-deficient, which is usually the desired behavior and makes it consistent with the fast path.
Change: 114483303
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Change: 114243879
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Change: 113989341
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Change: 113963788
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stability improvements
Change: 113791782
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Change: 113646664
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Change: 113371678
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from 5.5mb to 3.2mb (compressed).
Change: 113369407
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Change: 113114631
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problems."
Doesn't work in OSS
Change: 113103348
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Change: 112920860
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* Move some checks out of inner loops
* Split the mapper in 2: a base mapper, and a sub-mapper. This reduces the number of variables that are contained in the base mapper and helps reduce register spills
Change: 112809881
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matrix-vector products and provides various fixes for CUDA.
Change: 112298067
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well the crash reported in https://github.com/tensorflow/tensorflow/issues/713.
Change: 111874622
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reductions on GPU"
Change: 111739152
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imported.
Change: 110842260
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Change: 110617807
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Change: 110406666
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with nvcc in debug mode.
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changes in last commit.
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Change 109240606
Fix typo
Change 109240358
Fix bug in Concat's shape inference due to legacy scalar handling.
The shape function was inadvertently converting outputs of unknown
shape (rank=None) to vectors of unknown length (rank=1), due to
inability to distinguish between legacy scalars and vectors, because
`max(1, None)` is 1.
Change 109237152
Remove numarray requirement in python_config.
Change 109234003
Fix typo in elu documentation.
Change 109232946
Python must now be configured via ./configure script
Change 109232134
Backported fixes to the tensor comparison operators from the public Eigen repository
Change 109231761
Test invalid inputs to softmax_cross_entropy_with_logits.
Change 109230218
Backported fixes to the tensor comparison operators from the public Eigen repository
Change 109229915
Correct comments in seq2seq to show the right input types for embedding models.
(Thanks to hugman@github for bringing this up.)
Change 109229118
Fix resize_images example in documentation and allow resize_images to run on a single image with partially-known shape.
Change 109228940
Fix demo and node add/remove button spacing
Change 109227909
Include Elu in the NN docs.
Change 109227059
Adds variable_op_scope and makes variable_scope always add a name_scope.
This creates an op scope for variables that makes it easy to create independent
operations with a default name by making that name unique for the current scope
and it allows explicit names that are not made unique.
Change 109224492
Streamline yuv -> rgb conversion to be done in one pass in native code.
The entire process now takes ~2ms (including the ByteBuffer.get() calls), down from 10+ ms when the arrays were being interleaved in Java prior to conversion.
Also abstracting common yuv->rgb color conversion into helper method.
Change 109224389
Add ability to move nodes in and out of auxiliary nodes in graph.
Change 109217177
Update generated Op docs.
Change 109215030
Implementation of the ELU activation function: http://arxiv.org/abs/1511.07289
Change 109209848
When GPUBFCAllocator runs out of memory, also log a summary
of chunks in use by size.
Change 109206569
Switched to the public version of the Eigen::sign method since it supports complex numbers.
Change 109199813
Modify tensorflow.SequenceExample to support multiple-length sequences.
Base CL: 109241553
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Change 109195845
Fix TensorFlow for build against Bazel 0.1.2rc2
Two things are currently broken with TensorFlow and Bazel 0.1.2:
- Bazel now use sandboxing by default on Linux and have fixed it for cc_* rules.
Undeclared headers are not mounted in the sandbox which make several cc_* rules
fails.
- Bazel now enforce strict header checking and some target were missing
headers even though the headers were mounted in the sandbox. This change
adds a "strict_headers" target that globs every headers of the core
library and add it to the `tf_cc_tests` targets.
Change 109162708
Fix various website issues
- Fix headline in os_setup.md
- Fix #anchor links
Change 109162129
Fix numbers in mnist tutorial, fixes #362
Change 109158967
Fix typo in word2vec tutorial, fixes #347
Change 109151855
Fix tile and its gradient for scalars on GPUs
Eigen doesn't handle scalars on GPUs in all cases. Fortunately, both
tile and its gradient are the identity for scalars, so we can just copy
the input to the output.
Fixes https://github.com/tensorflow/tensorflow/issues/391.
Change 109140763
Support int32 and int64 in tf.random_uniform
This requires a new RandomUniformInt op on the C++ side since the op needs
to know minval and maxval.
Fixes https://github.com/tensorflow/tensorflow/issues/364.
Change 109140738
Fix spacing in docs.
Change 109140030
Fix content nav to not hide the bottom 100 or so px.
Change 109139967
Add license files to TensorBoard files, fix mnist_with_summaries test
Change 109138333
Fix typos in docstring
Change 109138098
Fix some missing resources in the website.
Fixes #366.
Change 109123771
Make sparse_to_dense's default_value default to 0
Nearly all uses of sparse_to_dense use 0 as the default. The
same goes for sparse_tensor_to_dense.
Base CL: 109198336
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Changes:
- Updates to docs
- Several changes for Python 3 compatibility
- Added license headers
Base CL: 108710566
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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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Changes:
- Remove all large assets from the repoistory, incuding the other 50MiB
model protobuf and a lot of images in our g3doc directory. We will
maintain these assets externally for now. g3doc images may be
broken for a little bit, but the website will be fine, which
is the important resource. By @vrv and @petewarden. Updates
READMES to reflect the external model resources.
- Fix to saver's latest_checkpoint function by Zhifeng
- Made protos visibility public by @vrv
- Updates to docs by @mrry, Andy
- Embed tensorboard resource for summary icon by Daniel
- More updates to backwars compat by @josh11b
Base CL: 108194981
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