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| * | | Add `tf.unravel_index` as an equivalent of `np.unravel_index`Gravatar Yong Tang2018-01-29
|/ / / | | | | | | | | | | | | | | | | | | | | | | | | | | | This fix tries to address the issue raised in 2075 where there was no implementation of `tf.unravel_index`. The `tf.unravel_index` could be quite useful in many places. This fix adds the `tf.unravel_index` in CPU kernel. Note `order` in `np.unravel_index` has not been added yet. Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* | | Disable AWS S3 virtual addressing (#16443)Gravatar Yong Tang2018-01-29
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | * Disable AWS S3 virtual addressing This fix is related to 16397 and 15159. The fix disables the virtual addressing of AWS S3, as was suggested in the comment. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Fix format issue. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add comment for the passed parameter of virutal addressing. Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
| * | Remove unused class membersGravatar A. Unique TensorFlower2018-01-29
| | | | | | | | | | | | PiperOrigin-RevId: 183662473
| * | tfdbg: add tensorboard debugger plugin option to three existing examplesGravatar Shanqing Cai2018-01-29
| | | | | | | | | | | | PiperOrigin-RevId: 183661140
* | | Fix typo (#16509)Gravatar ManHyuk2018-01-28
| | | | | | | | | | | | * fix typos
| * | [XLA] Set layout of GTE instructions inside fusion nodes.Gravatar Justin Lebar2018-01-28
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Other than the root and parameters of a fusion computation, most other instructions in a fusion computation don't have a layout. GTEs are an exception; they should inherit their layout from their operand, which must be another GTE or a parameter. Previously LayoutAssignment left GTEs alone, assuming they came in with the right layout. But this isn't correct, and in fact LayoutAssignment cleared the layouts of every non-fused instruction before assigning them for exactly this reason. If we'd done the same to fused instructions, it would have caught this bug, so we make that change here as well. (We simplify this loop by removing the check for kOutfeed -- outfeeds do not produce a result, so there's no shape to keep.) PiperOrigin-RevId: 183595627
| * | [XLA] Show layouts of tuple-shaped instructions (other than kTuple) in graphs.Gravatar Justin Lebar2018-01-28
| | | | | | | | | | | | | | | | | | | | | | | | For example the batch-norm ops return a tuple, and those values' layouts are significant. We still hide the layout on tuples, since this can be noisy. PiperOrigin-RevId: 183594622
| * | [XLA] Reset ShapeVisitor's state between runs of the verifier.Gravatar Justin Lebar2018-01-28
| | | | | | | | | | | | | | | | | | | | | | | | We create the ShapeVisitor once per pass pipeline. Without this change, after our ShapeVisitor has checked an instruction, it will never again check that instruction *or any of its transitive inputs*. Yikes. PiperOrigin-RevId: 183593437
| * | Fix use of uninitialied value.Gravatar A. Unique TensorFlower2018-01-27
| | | | | | | | | | | | PiperOrigin-RevId: 183558128
| * | Internal ChangeGravatar Zhixian Yan2018-01-27
| | | | | | | | | | | | PiperOrigin-RevId: 183551521
* | | Update docs for installing CUDA/CUDNN (#16495)Gravatar Yong Tang2018-01-27
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | * Update docs for installing CUDA/CUDNN This fix addresses the issue raised in 16479 where CUDA/CUDNN versions from the docs do not match TensorFlow v1.5.0. From the Dockerfile and docker images ENV, the version of CUDA/CUDNN for TensorFlow v1.5.0: ``` CUDA_VERSION 9.0.176 CUDNN_VERSION 7.0.5.15 ``` This fix updates the doc so that CUDA version is changed from `8.0` -> `9.0`, CUDNN version is changed from `6.0` -> `7.0`. This fix fixes 16479. Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
| * | Remove unused BUILD dependenciesGravatar A. Unique TensorFlower2018-01-27
| | | | | | | | | | | | PiperOrigin-RevId: 183514731
| * | Adds a deprecated_alias utility function with which to deprecate unmodified ↵Gravatar Martin Wicke2018-01-26
| | | | | | | | | | | | | | | | | | aliases. PiperOrigin-RevId: 183495796
| * | [XLA] Make DeviceMemoryAllocator::platform() a const pointer.Gravatar Justin Lebar2018-01-26
| | | | | | | | | | | | PiperOrigin-RevId: 183493603
| * | [TF:XLA] Update stale comments to match function names.Gravatar A. Unique TensorFlower2018-01-26
| | | | | | | | | | | | PiperOrigin-RevId: 183491729
| * | Fix build: add std:: to max() in ↵Gravatar A. Unique TensorFlower2018-01-26
| | | | | | | | | | | | | | | | | | tensorflow/contrib/tpu/profiler/capture_tpu_profile.cc. PiperOrigin-RevId: 183486778
| * | Internal change.Gravatar A. Unique TensorFlower2018-01-26
| | | | | | | | | | | | PiperOrigin-RevId: 183479688
| * | Add a feature to automatically recapture the traces when no trace event is ↵Gravatar A. Unique TensorFlower2018-01-26
| | | | | | | | | | | | | | | | | | collected. PiperOrigin-RevId: 183474367
| * | Remove protobuf patch that was installed to resolve #8394. It appears to not ↵Gravatar A. Unique TensorFlower2018-01-26
| | | | | | | | | | | | | | | | | | be necessary any longer. PiperOrigin-RevId: 183474194
| * | Create different data for each Literal when creating fake data.Gravatar Mark Heffernan2018-01-26
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Thread a generator through the functions for creating fake arguments so the same generator can be reused which avoids repeating the same data patterns for each argument generated. Also tweak the position-dependent biasing heuristic to create both positive and negative numbers for small literals. PiperOrigin-RevId: 183473588
| * | Fixed bug: inconsistency with how damping normalization was applied to ↵Gravatar A. Unique TensorFlower2018-01-26
| | | | | | | | | | | | | | | | | | ConvDiagonalFB blocks. PiperOrigin-RevId: 183472440
| * | Raise to 4 the shard counts of ↵Gravatar A. Unique TensorFlower2018-01-26
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | //third_party/tensorflow/contrib/{factorization:kmeans_test,linear_optimizer:sdca_estimator_test} These tests were getting flaky timeouts when run under asan, sometimes taking longer than the 5 minute timeout. Increasing the shard count to 4 seems to be sufficient to cause them not to time out. PiperOrigin-RevId: 183470183
| * | [XLA] Add a DeviceAllocator* argument to compilation.Gravatar Justin Lebar2018-01-26
| | | | | | | | | | | | | | | | | | | | | | | | In a later change, the GPU backend will use this allocator to reserve scratch memory when trying out different convolution algorithms during compilation. PiperOrigin-RevId: 183469579
* | | Simplify Android/Tegra GPU makefile file lists (#16471)Gravatar Andrew Harp2018-01-26
| | | | | | | | | | | | | | | | | | * updating CUDA srcs for Makefile build to fix unsatisfied link error * more makefile refactoring
| * | Add reduce-precision to evaluator and add implicit broadcast remover pass.Gravatar Mark Heffernan2018-01-26
| | | | | | | | | | | | | | | | | | | | | | | | | | | The reduce precision support is cribbed from the CPU/GPU LLVM-emitted implementation. The implicit broadcast pass removes any implicit broadcasts in the module replacing them with the equivalent explicit broadcast and reshape instructions. PiperOrigin-RevId: 183467648
| * | Add C0301 line-too-long error to pylint sanity check.Gravatar Yifei Feng2018-01-26
| | | | | | | | | | | | PiperOrigin-RevId: 183467186
| * | [tf.data] Support for initializing all the tables of the given graph.Gravatar Shivani Agrawal2018-01-26
| | | | | | | | | | | | PiperOrigin-RevId: 183466905
| * | Add bidirectional sequence RNN to TFLite Ops.Gravatar A. Unique TensorFlower2018-01-26
| | | | | | | | | | | | PiperOrigin-RevId: 183465032
| * | [XLA] Don't print "{no layout}" if there is no layout.Gravatar A. Unique TensorFlower2018-01-26
| | | | | | | | | | | | PiperOrigin-RevId: 183463264
| * | [XLA] (Re-land) Add HLO matcher for CustomCall that accepts a call target.Gravatar Justin Lebar2018-01-26
| | | | | | | | | | | | | | | | | | Now with less build breakage! PiperOrigin-RevId: 183458987
* | | Placate pylint on jupyter_notebook_config.py (#16449)Gravatar cclauss2018-01-26
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* | | Making MKL-DNN default build choice (#16474)Gravatar AG Ramesh2018-01-26
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* | | Merge pull request #16475 from rmlarsen/branch_183446593Gravatar Rasmus Munk Larsen2018-01-26
|\ \ \ | | | | | | | | Branch 183446593
| | * | [XLA] optimize NearComparator#ExpectLiteralsNear()Gravatar Nick Desaulniers2018-01-26
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | While tracking down the issue of timeouts when running THE ISOLATOR, it was observed that NearComparator#ExpectLiteralsNear() could be optimized in the case of matching layouts to not compute multi indexes. In the process of tracking down timeouts in THE ISOLATOR, I had assumed that time spent was dominated by either generating input data, executing the input data on various backends, or comparing the data. Never assume you know where the time is spent in a program; the profiler may surprise you. After making that optimization and then profiling the code before and after, I was surprised by the profile. Image the shock, horror, and disgust I experienced when discovering that runs of THE ISOLATOR were dominated (45%) by calls to Literal#ToString() in NearComparator#ExpectLiteralsNear() for huge (>120 million elements) literals that failed comparisons. No wonder passing shards of THE ISOLATOR were fast, and failing shards were slow. Further, computing multi indexes many times is expensive enough (18%) to show up in profiles, so avoid calculating it until it is necessary. The optimizations in this patch: * Don't call Literal#ToString() on huge literals that are going to get written to disk anyways. The utility of printing said literal to stdout is suspect. * Initialize NearComparator#miscompares_ to false, only update miscompares_ and other stats when miscompare occurs. * Split NearComparator#ExpectLiteralsNear() into two, since we only need to log and update stats if an actual miscompare occurs. * Add fast path in NearComparator#ExpectLiteralsNear() for case of matching layouts, being careful not to compute multi index unless mismatch actually occurs. This optimized NearComparator#ExpectLiteralsNear() for the case of many element literals, with few miscompares. For many miscompares, we cannot avoid calculating multi indexes, but can fast path for equal layouts. For zero miscompares, we can at least fast path in the case of matching layouts. Before this CL, a run of THE ISOLATOR for a single literal with >120 million elements and a few miscompares took 379s (6.3m). With this CL, the same test case now takes 44s. Beautiful flame graphs omitted from public commit message, regrettably. PiperOrigin-RevId: 183451138
| | * | Remove dead codeGravatar A. Unique TensorFlower2018-01-26
| | | | | | | | | | | | | | | | PiperOrigin-RevId: 183450369
| | * | Raise shard count to 10 for tensorflow/python/kernel_tests:metrics_testGravatar A. Unique TensorFlower2018-01-26
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | The test was sometimes taking over six minutes to run in asan mode, causing it to hit the 5 minute timeout. Setting the shard count to 6 was inufficient, but setting it to 10 brought the runtime down to about 3:30 in the worst case over 100 runs. PiperOrigin-RevId: 183449941
| | * | Add a security document discussing high level best practices and explain ↵Gravatar Martin Wicke2018-01-26
| | | | | | | | | | | | | | | | | | | | | | | | vulnerability reporting process. PiperOrigin-RevId: 183448435
| * | | Merge commit for internal changesGravatar Rasmus Larsen2018-01-26
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| * | Improvements to eager linear regression benchmark:Gravatar Alexandre Passos2018-01-26
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1. Using _shape_tuple 2. Bypassing * over math_ops.mul etc 3. Flatmaps in the tape code 4. Cache for ones similar to for zeros 5. Fast path for _SubGrad 6. Fast global_step += 1 for resource variables 7. Bypassing deprecated args decorator in eager mode PiperOrigin-RevId: 183446593
| * | tfe.metrics.{Mean,Accuracy} return their inputs.Gravatar Alexandre Passos2018-01-26
| | | | | | | | | | | | | | | | | | | | | This makes chaining them easier. Control dependencies to ensure updates happen are implicitly added by the function code. PiperOrigin-RevId: 183446211
| * | To add __init__.py to some paths that are imported by other modules.Gravatar A. Unique TensorFlower2018-01-26
| | | | | | | | | | | | PiperOrigin-RevId: 183443656
| * | Delete mkl_tfconv_op.cc which seem to be a duplicate of mkl_tfconv_op.h, and ↵Gravatar A. Unique TensorFlower2018-01-26
| | | | | | | | | | | | | | | | | | did not exist in the external github TF repository. PiperOrigin-RevId: 183443347
* | | Fix build error with GCC 7.2.1 on AWS Linux 2 (#16470)Gravatar Yong Tang2018-01-26
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This fix fixes a build failure when compiling with GCC 7.2.1 on AWS Linux 2: ``` gcc version 7.2.1 20170915 (Red Hat 7.2.1-2) (GCC) ``` The eror output was: ``` ... ./tensorflow/contrib/lite/toco/model.h:1567:25: error: 'std::function' has not been declared void EraseArrays(std::function<bool(const string&)> discardable) { ..... ``` This fix is related to 16046. Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
| * | Add op level memory usage estimation to the op_level_cost_estimatorGravatar Benoit Steiner2018-01-26
| | | | | | | | | | | | PiperOrigin-RevId: 183441321
| * | Automated g4 rollback of changelist 183321394Gravatar Adam Roberts2018-01-26
| | | | | | | | | | | | PiperOrigin-RevId: 183438398
* | | Branch 183429339 (#16469)Gravatar Rasmus Munk Larsen2018-01-26
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | * 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
| * | Improved heuristics for swappingGravatar Benoit Steiner2018-01-26
| | | | | | | | | | | | PiperOrigin-RevId: 183435438
| * | Add more tests to validate the bucket boundaries forGravatar A. Unique TensorFlower2018-01-26
| | | | | | | | | | | | | | | | | | inputs with equal distributions. PiperOrigin-RevId: 183435084
* | | Fix a bug in PR #15906 (#16467)Gravatar ted chang2018-01-26
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| * | Make the graph generation of TFBT deterministic.Gravatar A. Unique TensorFlower2018-01-26
| | | | | | | | | | | | PiperOrigin-RevId: 183431139
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