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* Avoid some over-inlined routines. Reduces code size of TensorFlow binariesGravatar A. Unique TensorFlower2016-02-25
| | | | | considerably. Shrinks text size of example_trainer binary by ~1.5%. Change: 115578002
* Made sure that the tracking allocator always counts the allocated sizes.Gravatar Benoit Steiner2016-02-25
| | | | | Made the corresponding unit test more robust. Change: 115575179
* TensorFlow: fix bug in StringPiece::contains which made it alwaysGravatar Vijay Vasudevan2016-02-25
| | | | | | return true. Add a unittest to catch this type of regression in the future. Change: 115573280
* Fix for constant folding where nodes with no inputs doesn't get constant folded.Gravatar A. Unique TensorFlower2016-02-25
| | | | Change: 115568214
* Fixes bug in accumulation of total-approximate-duality-gap.Gravatar A. Unique TensorFlower2016-02-25
| | | | Change: 115528686
* Fix an error message in tf.sparse_to_dense to include the possibility that ↵Gravatar A. Unique TensorFlower2016-02-25
| | | | | | indices are invalid because they are out of bounds. Change: 115522264
* Added TestReporter and test / benchmark reporting tools.Gravatar Eugene Brevdo2016-02-25
| | | | | | | | These tools are meant to allow recording of benchmark & unit test structured output to pbtxt files in a directory only when the environment variable TEST_REPORT_FILE_PREFIX is set. For now, only saving of C++ microbenchmark output is supported. Change: 115518303
* Added unit test for max_to_keep being None.Gravatar Sherry Moore2016-02-25
| | | | Change: 115516426
* Move all Tensorflow WORKSPACE rules to a skylark macroGravatar Kiril Gorovoy2016-02-25
| | | | Change: 115515678
* Remove no-longer-needed RequireDefaultOps().Gravatar Josh Levenberg2016-02-25
| | | | Change: 115511835
* Remove no-longer-needed RequireDefaultOps().Gravatar Josh Levenberg2016-02-25
| | | | Change: 115511794
* Switch nn.moments() to using a one-pass stable algorithm.Gravatar Vincent Vanhoucke2016-02-25
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Helps with: https://github.com/tensorflow/tensorflow/issues/917 Also fixes https://github.com/tensorflow/tensorflow/issues/1162 The main benefit is that the computation of the sufficient statistics is now decoupled of the aggregation of the moments, which means that if you want to perform the accumulation incrementally, you don't have to keep all the inputs around, and can instead keep the much more compact sum and sum-of-squares. Accumulation could also be performed locally if you aggregate across multiple devices. Computing sum and sum-of-squares can also theoretically be performed in parallel now. Tested running inception: same performance, same step time. Batch normalization benchmark is a bit faster on CPU, a bit slower on GPU: Before: cpu shape:4/3 #layers:10 mode:py scale:True train:False - 1.139310 secs gpu shape:4/3 #layers:10 mode:py scale:True train:False - 0.021970 secs cpu shape:4/3 #layers:10 mode:py scale:True train:True - 2.767147 secs gpu shape:4/3 #layers:10 mode:py scale:True train:True - 0.074531 secs cpu shape:4/3 #layers:10 mode:py scale:True train:False - 0.742835 secs gpu shape:4/3 #layers:10 mode:py scale:True train:False - 0.013473 secs cpu shape:4/3 #layers:10 mode:py scale:True train:True - 1.738806 secs gpu shape:4/3 #layers:10 mode:py scale:True train:True - 0.052777 secs cpu shape:2/1 #layers:10 mode:py scale:True train:False - 0.119180 secs gpu shape:2/1 #layers:10 mode:py scale:True train:False - 0.011201 secs cpu shape:2/1 #layers:10 mode:py scale:True train:True - 0.218297 secs gpu shape:2/1 #layers:10 mode:py scale:True train:True - 0.048526 secs After: cpu shape:4/3 #layers:10 mode:py scale:True train:False - 0.998944 secs gpu shape:4/3 #layers:10 mode:py scale:True train:False - 0.025828 secs cpu shape:4/3 #layers:10 mode:py scale:True train:True - 2.657428 secs gpu shape:4/3 #layers:10 mode:py scale:True train:True - 0.086614 secs cpu shape:4/3 #layers:10 mode:py scale:True train:False - 0.603137 secs gpu shape:4/3 #layers:10 mode:py scale:True train:False - 0.017668 secs cpu shape:4/3 #layers:10 mode:py scale:True train:True - 1.519533 secs gpu shape:4/3 #layers:10 mode:py scale:True train:True - 0.055214 secs cpu shape:2/1 #layers:10 mode:py scale:True train:False - 0.071344 secs gpu shape:2/1 #layers:10 mode:py scale:True train:False - 0.016440 secs cpu shape:2/1 #layers:10 mode:py scale:True train:True - 0.222093 secs gpu shape:2/1 #layers:10 mode:py scale:True train:True - 0.039967 secs Change: 115507032
* Execute TODO to explain graph-consumer usage ofGravatar Josh Levenberg2016-02-25
| | | | | RemoveNewDefaultAttrsFromGraphDef(). Change: 115506523
* Switch sdca_ops to use tf.load_library mechanism.Gravatar A. Unique TensorFlower2016-02-25
| | | | Change: 115505008
* Avoid using initialization lists since the version of nvcc shipped with TegraGravatar Benoit Steiner2016-02-24
| | | | | X1 crashes when attempting to compile them Change: 115500414
* Surface control_flow_ops.case to public. Update docs. Add unit tests.Gravatar Eugene Brevdo2016-02-24
| | | | Change: 115496194
* Fix build issue with safety fix to gather and scatterGravatar Geoffrey Irving2016-02-24
| | | | Change: 115495726
* Temporarily disable sdca_ops_test - it breaks the opensource build.Gravatar Eugene Brevdo2016-02-24
| | | | Change: 115494526
* Support leaving the offset (beta) parameter out in batch_normalization, in ↵Gravatar A. Unique TensorFlower2016-02-24
| | | | | | which case no offset will be added after normalization. Change: 115489328
* removing repeated hostcast linesGravatar A. Unique TensorFlower2016-02-24
| | | | Change: 115472914
* Rename map in control_flow_ops to map_fn, to avoid name conflict with ↵Gravatar A. Unique TensorFlower2016-02-24
| | | | | | Python's native 'map' function. This also fixes the bug with control_flow_ops.case Change: 115472163
* Eliminate unneded pylint disableGravatar David G. Andersen2016-02-24
| | | | Change: 115470945
* Update TensorBoard README.md.Gravatar A. Unique TensorFlower2016-02-24
| | | | | Describe how to load many runs. Change: 115467346
* Fix safety bug in gather and scatterGravatar Geoffrey Irving2016-02-24
| | | | | | | | | | | | | | | | | | | | Both gather and scatter now unconditionally validate indices in the inner loop, which prevents crashes if indices are changed asynchronously while the ops are running. For gather when validate_indices = true, the new code is within the noise of the old code speedwise or possibly slightly faster (unsurprising since the new code fuses two loops). Specifically, the geometric mean of int32 gather benchmarks goes from 4.05GB/s to 4.04-4.07GB/s. For gather when validate_indices = false, the old code and a version of the old code that supported validate_indices = false both get 1.5% slower. Xiaoqiang and I deem this difference insufficient to preserve the unsafe code path, so poof: it's gone. For scatter (which always validates), the new code is slightly faster than the old code: the geometric mean goes from 546-559M items/s to 573M items/s. Change: 115467091
* Store only what is needed in the node name to node map.Gravatar Yuan Yu2016-02-24
| | | | Change: 115464489
* Add the OneHot op.Gravatar Eugene Brevdo2016-02-24
| | | | Change: 115464229
* TensorFlow: Initial support in SimplePlacer for colocation groups,Gravatar Vijay Vasudevan2016-02-24
| | | | | | | | | | | to be used to colocate based on attributes rather than either names of ops or devices (op names and devices aren't portable). A follow up change will add an ops.colocate_with() to Python that adds this attribute to nodes, and will be used to replace calls to 'with tf.device(foo.device)' in TF library code, which assumes that devices have been specified. Change: 115463464
* Fix minor typo in documentation in training_util.pyGravatar A. Unique TensorFlower2016-02-24
| | | | Change: 115462062
* Tests to check linear_optimizer in tf.contrib.Gravatar A. Unique TensorFlower2016-02-24
| | | | Change: 115419426
* Add correct dependencies to sdca ops to fix build breakage.Gravatar A. Unique TensorFlower2016-02-24
| | | | Change: 115408162
* Make core/framework/graph_def_util.h publicly accessible.Gravatar Josh Levenberg2016-02-24
| | | | Change: 115384748
* Give tensorflow/core/kernels/ its own BUILD file.Gravatar Josh Levenberg2016-02-24
| | | | Change: 115379524
* Update protobuf submodule to bring in gRPC supportGravatar Manjunath Kudlur2016-02-23
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* Add tensorboard graph visualization link to graph visualization how-toGravatar James Wexler2016-02-23
| | | | Change: 115371065
* Fix tslint errors in TensorBoardGravatar A. Unique TensorFlower2016-02-23
| | | | Change: 115370821
* Swap TensorBoard local build from "tsd" to "typings".Gravatar A. Unique TensorFlower2016-02-23
| | | | | | | | | Reason: tsd is deprecated (https://github.com/DefinitelyTyped/tsd/issues/269) and typings is the new standard. Also, tsd was behaving badly - running `tsd install` on a clean client was causing it to incorrectly depend on typing files from node_modules, which resulted in a broken build. This issue does not exist with typings. For convenience, and since typings is really fast when all deps are up-to-date, I made it a part of the standard gulp task. `npm install` so you have all the deps, and running `gulp` will keep the typing files synchronized - there no longer is a separate step for downloading them. The logical next step is to do the same for bower. I did wire that up, but I will not connect it to the gulp task until after the big bower dependency upgrade CL is through. If I add it right now, it will fail on unresolved dependency conflicts and make everyone sad. Change: 115370585
* TensorFlow gflags: add DEFINE_bool as an alias to DEFINE_booleanGravatar Vijay Vasudevan2016-02-23
| | | | Change: 115364038
* Adding tests for TensorFlow tutorialsGravatar A. Unique TensorFlower2016-02-23
| | | | | The tutorial Python files are copied to a separate directory and run against Python installation on the system. The script performs basic quality checks, including timeout, accuracy / loss thresholding, and checks for generated checkpoint files and summary files. Change: 115362939
* Memory swapping between GPU and CPU for stack. Changed stack push and pop ↵Gravatar Yuan Yu2016-02-23
| | | | | | | ops to async. For gradient computation for loops, stacks are used to store the tensors that are computed in the forward but needed in backprop. This CL enables very long sequence training by swapping the stack tensors from GPU to CPU. Change: 115359847
* Fix build rules for C++ tests in the OSS build.Gravatar Derek Murray2016-02-23
| | | | Change: 115358623
* Update graph visualizer tutorial to include new interactions.Gravatar James Wexler2016-02-23
| | | | Change: 115354844
* Disable shape inference for accumulator when the shape is not fully known ↵Gravatar Yuan Yu2016-02-23
| | | | | | statically. Change: 115351830
* Reimplement StrippedOpListForGraph in C++Gravatar Geoffrey Irving2016-02-23
| | | | Change: 115347996
* Adds a C++ test utility for picking an unused port.Gravatar Derek Murray2016-02-23
| | | | | | | The PickUnusedPortOrDie implementation is based on a simplified version of `grpc_pick_unused_port_or_die()` in gRPC. This utility will be necessary for tests of the distributed runtime (issue #23). Change: 115345502
* Adding tensor shapes to the graph visualizer and to the info card.Gravatar Dan Smilkov2016-02-23
| | | | | | | Also: - rename sceneBehavior -> sceneElement to make it clearer it is a polymer element. - improve the info card by showing the actual op node in the successors/predecessors list when the metaedge only contains one base edge (one tensor). Change: 115339805
* Adds a C++ test utility that makes it possible to run multi-process tests.Gravatar Derek Murray2016-02-23
| | | | | This will be necessary for tests the distributed runtime (issue #23). Change: 115339579
* Add license header and future imports to sparse_tensor_dense_matmul_grad_test.Gravatar Derek Murray2016-02-23
| | | | | This should fix Python 3 compatibility for this test. Change: 115339521
* Updated image retraining documentation with usage exampleGravatar Pete Warden2016-02-23
| | | | Change: 115288487
* Add more control over shapes when calculating graph metrics.Gravatar Pete Warden2016-02-23
| | | | Change: 115284554
* Upgraded Eigen to fix a compilation error triggered by xcodeGravatar Benoit Steiner2016-02-22
| | | | Change: 115280348
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