- 08 12月, 2015 2 次提交
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由 Jeff Hammerbacher 提交于
Change-Id: I8f4b4453d07d25964ca756d40e6925b549c5f220
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由 dresimpelo 提交于
Very minor fix to clean up comment, erased blank line (line 209 basic_usage.md) Added a session close the Interactive Session in the 'Getting Started' tutorial -so that no exceptions are thrown when a user tests later examples in the same python kernel. Highlighted 't[i,j,k]' for read consistency in tutorial (line 21, resources/dim_types.md) Change-Id: I9c0d8a6f6651bbb6a00bddecc0977b512e394669
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- 07 12月, 2015 9 次提交
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由 Dongjoon Hyun 提交于
Changes: * Add port mapping options to `docker run` commands in docker_run_gpu.sh and README.md. Docker on Mac needs an extra option `-p` to expose 8888 for Jupyter Notebook. The added option makes the behavior of containers consistent on both Ubuntu and Mac. Change-Id: I29002329f08d7dc05415925e9b2aedbd3f112813
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由 Vijay Vasudevan 提交于
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由 Vijay Vasudevan 提交于
TensorFlow: update left nav bar Base CL: 109547821
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由 Vijay Vasudevan 提交于
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由 Vijay Vasudevan 提交于
Change 109544196 Clean up the introductory text of the tutorial. Base CL: 109546821
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由 Vijay Vasudevan 提交于
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由 Vijay Vasudevan 提交于
Change 109540764 TensorFlow: some edits to image_recognition tutorial. Base CL: 109540774
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由 Vijay Vasudevan 提交于
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由 Vijay Vasudevan 提交于
Change 109537918 TensorFlow pip setup: wheel >= 0.26 for python3 pip install Change 109505848 Fix distortion default value to 1.0 in fixed_unigram_candidate_sampler. This means we default to the actual provided unigram distribution, instead of to the uniform (as it is currently). Change 109470494 Bugfix in gradients calculation when the ys rely on each other. Change 109467619 Fix CIFAR-10 model to train on all the training data instead of just 80% of it. Fixes #396. Change 109467557 Replaced checkpoint file with binary GraphDef. Change 109467433 Updates to C++ tutorial section. Change 109465269 TensorFlow: update documentation for tutorials to not assume use of bazel (when possible). Change 109462916 A tutorial for image recognition to coincide with the release of the latest Inception image classification model. Change 109462342 Clear control dependencies in variable_scope.get_variable() when creating ops for the initializer. Add tests of various error conditions. Change 109461981 Various performance improvements in low-level node execution code paths. Speeds up ptb_word_lm on my desktop with a Titan X from 3638 words per second to 3751 words per second (3.1% speedup). Changes include: o Avoided many strcmp operations per node execution and extra touches of cache lines in executor.cc, by making all the various IsMerge, IsSwitch, IsSend, etc. operations instead be based on an internal enum value that is pre-computed at Node construction time, rather than doing string comparisons against node->type_string(). We were doing about 6 such comparisons per executed node. o Removed mutex_lock in executor.cc in ExecutorState::Process. The lock was not needed and the comment about the iterations array being potentially resized is not true (the iterations arrays are created with a fixed size). Checked with yuanbyu to confirm this. o Added new two-argument port::Tracing::ScopedAnnotation constructor that takes two StringPiece arguments, and only concatenates them lazily if tracing is enabled. Also changed the code in platform/tracing.{h,cc} so that the ScopedAnnotation constructor and the TraceMe constructor can be inlined. o In BaseGPUDevice::Compute, used the two-argument ScopedAnnotation constructor to avoid doing StrCat(opkernel->name(), ":", op_kernel->type_string()) on every node execution on a GPU. o Introduced a new TensorReference class that just holds a reference to an underlying TensorBuffer, and requires an explicit Unref(). o Changed the EventMgr interface to take a vector of TensorReference objects for EventMgr::ThenDeleteTensors, rather than a vector of Tensor objects. o Used TensorReference in a few places in gpu_util.cc o Minor: switched to using InlinedVectors in a few places to get better cache locality. Change 109456692 Updated the label_image example to use the latest Inception model Change 109456545 Provides classify_image which performs image recognition on a 1000 object label set. $ ./classify_image giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca (score = 0.88493) indri, indris, Indri indri, Indri brevicaudatus (score = 0.00878) lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens (score = 0.00317) custard apple (score = 0.00149) earthstar (score = 0.00127) Change 109455002 TensorFlow: make the helper libraries for various models available in the pip package so that when users type: python translate.py ... the absolute import works. This change is supposed to help make our tutorials run without the *need* to use bazel. Change 109450041 TensorFlow: remove cifar and convolutional binary copies from pip install. Adds embedding and some other models to the list. Change 109448520 Move the description of a failing invariant from a comment into the dcheck-fail message text. Change 109447577 TensorBoard has release tagging (tensorboard/TAG) Also track TensorBoard changes (tensorboard/CHANGES) Change 109444161 Added ParseSingleSequenceExample + python wrappers + unit tests. Change 109440864 Update all the TensorFlow Dockerfiles, and simplify GPU containers. This change updates all four of our Dockerfiles to match the targets discussed in https://github.com/tensorflow/tensorflow/issues/149. The most notable change here is moving the GPU images to use the NVidia containers which include cudnn and other build-time dependencies, dramatically simplifying both the build and run steps. A description of which tags exist and get pushed where will be in a follow-up. Change 109432591 Some pylint and pydoc changes in saver. Change 109430127 Remove unused hydrogen components Change 109419354 The RNN api, although moved into python/ops/, remains undocumented. It may still change at any time. Base CL: 109538006
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- 05 12月, 2015 6 次提交
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由 Vijay Vasudevan 提交于
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由 Vijay Vasudevan 提交于
supports python3
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由 Manjunath Kudlur 提交于
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由 Manjunath Kudlur 提交于
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由 Manjunath Kudlur 提交于
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由 Manjunath Kudlur 提交于
Change 109418220 Update WORKSPACE to use gmock.BUILD from google/protobuf instead of a duplicate. Update google/protobuf's commit hash to include damieng@'s commit. Change 109417314 TensorFlow: add .gitignore to ignore some in-tree modified files. Change 109400051 Optionally build full TensorFlow for Android. 1. --define ANDROID_TYPES=__ANDROID_TYPES_FULL__ to register ops for all types, not just float. Today this increases codesize by ~700K when compiled for ARM, though only for clients who request full type support. 2. Add more ops to android_extended_ops, sufficient to train on the linear regression baseball codelab. Change 109388118 Fix the option changed in templatize. Oops. Change 109382553 Allows setting a function name in an op's attr in the py frontend. Change 109380896 Remove assert_same_graph in favor of op_scope. Change the latter to handle tensor-like objects such as SparseTensor, IndexedSlices, and Variable. Base CL: 109418322
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- 04 12月, 2015 6 次提交
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由 Vijay Vasudevan 提交于
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由 Vijay Vasudevan 提交于
Change 109366961 TensorFlow BUILD: now that we have an ops library, set linkstatic to 1. This fixes a breakage in the would-be opensource build, and it *might* mean we can get rid of all of the RequireDefaultOps() calls in our code. The ops library is much smaller than the kernels library that was previously linked together. We set linkstatic=0 presumably since we didn't want to package a static copy of the kernels (very large) everywhere. But the op definitions are small, so this seems like a safe change to make. Time to build the various tests was not any longer after this change, and inspecting the example_trainer binary showed no large increase. Change 109363613 TensorFlow: new graph_def_builder_test needs to RequireDefaultOps. Change 109362569 Split ":ops" out of ":kernels" target in tensorflow/core. Change 109360666 Catch dtype and some shape errors sooner in `QueueBase`. Some avoidable errors were not being caught (e.g. the dtypes of the enqueue components were not checked against the queue's dtypes in Python), leading to cryptic messages at runtime. After this CL, they will be caught earlier. Change 109359569 TensorFlow: Expect g_ != nullptr in test Change 109350735 Add a version number to GraphDef We would like to be able to deprecate behavior in newly generated graphs without invalidating tensorflow's ability to read and evaluate old graphs. For this purpose, GraphDef now has a version field which can be checked inside op kernels to determine how backwards compatible to be. version.h defines TF_GRAPHDEF_VERSION_MIN and TF_GRAPHDEF_VERSION_MAX specifying the range of supported GraphDef versions in the current version of tensorflow. Also expose tf.__version__ and tf.__graph_def_version{,_min,_max}__ for Python interrogation purposes. Whenever we want to deprecate or change some GraphDef semantics, we will proceed as follows: 1. Bump TF_GRAPHDEF_VERSION_MAX, leaving TF_GRAPHDEF_VERSION_MIN unchanged. Describe the change in graph.proto, include the date introduced. 2. In each relevant kernel, implement the new behavior if the GraphDef version is new, but preserve the old behavior for previous GraphDef versions. 3. Wait six months or so (we need to formalize this somewhere). 4. Bump TF_GRAPHDEF_VERSION_MIN and remove the backwards compatibility. The GraphDef version is distinct from the open source version, but at least (4) and possibly (1) correspond to major version number bumps. The first GraphDef version bump is the upcoming scalar strictness change, which affects Google users only since open source is already scalar strict. This commit does not yet plumb the version number into OpKernelConstruction so that ops can access it. That will follow. Change 109350260 Made TensorShapeProto implicitly convertible to TensorShape. Base CL: 109366982
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由 Vijay Vasudevan 提交于
Change 109344341 Teach ./configure about Python 3 (and other minor Python 3 issues) ./configure now writes bazel.rc based on a bazel.rc.template, which gives us a place to tell bazel which version of Python we were using. Also fix a few tests whose Python 3 support had degraded. The only thing left before we have Python 3 support is https://github.com/google/protobuf/pull/1023 Change 109343002 Update ops.pbtxt to reflect 109321497. Change 109342838 Do memory deallocation outside the critical section in gpu_event_mgr.cc. Change 109334210 PTB LSTM example: use slicing instead of splitting the inputs. Change 109332238 Cleanup TensorBoard local development environment Change 109331051 Use __all__ in __init__.py to restrict exported modules Specifically, __all__ is now anything that (1) doesn't begin with an underscore and (2) isn't a non-whitelisted module. This fixes one tiny piece of b/25561952. Specifically, the following no longer exist: tf.np, tf.math_ops, and tf.variables. tf.ops and tf.tensor_util still exist but shouldn't; that will have to wait for a later CL. Change 109327154 tf.tuple allow Tensors to be passed in as control_inputs like tf.control_dependencies. Change 109324239 Make tf.control_dependencies(None) clear the control dependencies. Use that to prevent ops created for Variables to inherit the current control dependencies. This fixes issues when using ExponentialMovingAverages with control dependencies. Change 109323719 Added support for boolean tf.scatter_update. Base CL: 109348398
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由 Manjunath Kudlur 提交于
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由 Vijay Vasudevan 提交于
Change 109321497 Move all images to images directory to make docs versioning easier - adjust all paths in the docs to point to the new locations - remove some now redundant section-order tags added for the old website Change 109317807 Added a kernel op to compute the eigendecomposition of a self-adjoint matrix. Added a new kernel op called self_adjoint_eig (and a batch_self_adjoint_eig) that computes the eigendecomposition of a self-adjoint matrix. The return value is the concatenation of the eigenvalues as a row vector, and the eigenvectors. Change 109310773 Change `_read32()` in the MNIST input example to return an int. Currently we return a 1-D numpy array with 1 element. Numpy has recently deprecated the ability to treat this as a scalar, and as a result this tutorial fails. The fix returns the 0th element of the array instead. Change 109301269 Re-arrange TensorBoard demo files. Change 109273589 add ci_build for ci.tensorflow.org Change 109260293 Speed up NodeDef -> OpKernel process by not spending time generating an error message for missing "_kernel" attr that will be thrown away. Change 109257179 TensorFlow:make event_file_loader_test hermetic by using tempfile instead of fixed filenames. Without this change, running event_file_loader_test twice in the same client (locally) causes it to fail, because it writes into the same file and appends another event, instead of starting from scratch. Change 109256464 Minor cleanup in TensorBoard server code Change 109255382 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 109254843 Fix use of uninitialized memory in test. Change 109250995 python_config.sh needs a license header Otherwise the license test fails. Change 109249914 add ci_build for ci.tensorflow.org Change 109249397 Fixes reduce_sum (complex) on GPU segfaults. Fixes #357 Change 109245652 add ci_build for ci.tensorflow.org Base CL: 109321563
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- 03 12月, 2015 3 次提交
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由 Vijay Vasudevan 提交于
changes in last commit.
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由 Vijay Vasudevan 提交于
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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由 Manjunath Kudlur 提交于
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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- 02 12月, 2015 2 次提交
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由 Vijay Vasudevan 提交于
956a770adc772184e5911f964b866028465d1727 for bazel 0.1.2
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由 Vijay Vasudevan 提交于
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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- 26 11月, 2015 3 次提交
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由 Manjunath Kudlur 提交于
Changes: - Fix README example to not include implicit print Base CL: 108729071
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由 Manjunath Kudlur 提交于
Changes: - Make compat accessible as tf.compat Base CL: 108727647
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由 Manjunath Kudlur 提交于
Changes: - Updates to docs - Several changes for Python 3 compatibility - Added license headers Base CL: 108710566
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- 24 11月, 2015 1 次提交
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由 Boris Daskalov 提交于
beta[12]_power variables in the ADAM implemenation are not marked as non-trainable which can lead to very confusing results when calling tf.trainable_variables(). Change-Id: Ibf4832615144d2aca7d10f8adcf70ac583fedd7e
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- 21 11月, 2015 1 次提交
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由 Manjunath Kudlur 提交于
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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- 19 11月, 2015 2 次提交
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由 Vijay Vasudevan 提交于
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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由 Vijay Vasudevan 提交于
Changes: - Add Split/Concat() methods to TensorUtil (meant for convenience, not speed) by Chris. - Changes to linear algebra ops interface by Rasmus - Tests for tensorboard by Daniel - Fix bug in histogram calculation by Cassandra - Added tool for backwards compatibility of OpDefs. Tool Checks in history of opdefs and their changes, checks for backwards-incompatible changes. All done by @josh11b - Fix some protobuf example proto docs by Oliver - Add derivative of MatrixDeterminant by @yaroslavvb - Add a priority queue queue by @ebrevdo - Doc and typo fixes by Aurelien and @dave-andersen - Speed improvements to ConvBackwardFilter by @AndyDavis - Improve speed of Alexnet on TitanX by @zheng-xq - Add some host memory annotations to some GPU kernels by Yuan. - Add support for doubles in histogram summary by @jmchen-g Base CL: 108158338
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- 17 11月, 2015 4 次提交
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由 Vijay Vasudevan 提交于
It is 50MiB, which doesn't belong in git. It turns out there is a second copy of this graph in the android assets already too. That explains why the repo is so large. (Since we have not accepted external commits yet, we may consider rewriting the history to purge these files if the size of the repo is a concern). Base CL: 108016510
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由 Vijay Vasudevan 提交于
a few other changes. Changes: - Some improvements to convolution by using 32-bit indices by @benoitsteiner. Not all calls converted yet. Also some improvements to pooling as well by @benoitsteiner. - Improvements to sparse matmul CPU implementation by Ashish - Some fixes to warnings by @vrv - Doc fixes to padding by @Yangqing - Some improvements to Tensor wrappers by Eider - Speed up of matrix inverse on CPU by Rasmus - Add an example of doing image inference from a pre-trained model by @petewarden. - fixed formula in mnist example by nodir - Updates to event accumulator by Cassandra - Slight changes to tensor c api by @mrry - Handling of strings in listdiff by Phil - Fix negative fraction-of-queue-full stats by Frank - Type-checking improvement to importer by Yaroslav - logdir recursive search for Tensorboard by @danmane - Session.run() checks for empty graph by Manoj Base CL: 108013706
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由 Vijay Vasudevan 提交于
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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由 Vijay Vasudevan 提交于
Changes: - Bug fix to input.py by @dave-andersen with tests. - Some fixes to names in the whitepaper - Include cfloat for FLT_MAX by @benoitsteiner - Fix broken link in mnist tutorials by @mrry - Typos and fixes to documentation by @Sohl-Dickstein, @ebrevdo, @vrv, Yaroslav, @martinwicke - Fixed unnecessary check around a delete by @girving - More compatibility tests by @josh11b - Misc other typos and fixes by Googlers. Base CL: 107944070
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- 13 11月, 2015 1 次提交
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由 Vijay Vasudevan 提交于
Changes: - Fix softmax formula in word2vec to remove an extra exp() by @gouwsmeister - Python3 fixes to remove basestring / support for unicode by @mrry - Remove some comments by Josh - Specify exact versions of bower dependencies for TensorBoard by @danmane. Base CL: 107742361
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