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* Add go_package to proto definition files (#17262)Gravatar Yong Tang2018-05-02
| | | | | | | | | | | | | | | | | | | | | | | | * Add go_package to proto definition files This fix tries to address the issue raised in 16282 by add go_package to proto files, so that generated go files have correct path. This fix fixes 16282. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add go_package to proto definition in tensorflow/core/framework Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add go_package to proto definition in tensorflow/core/example Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add go_package to proto definition in tensorflow/core/example Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Branch 167812735 (#12867)Gravatar Yifei Feng2017-09-06
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | * Internal cleanup PiperOrigin-RevId: 167636242 * Move the Keras API to tf.keras. PiperOrigin-RevId: 167638421 * Automated g4 rollback of changelist 167604306 PiperOrigin-RevId: 167639833 * Call HloComputation.Accept instead of HloInstruction.Accept to get all instructions profiled. RELNOTES: n/a PiperOrigin-RevId: 167640259 * Add fast math attributes to all generated methods when fast math enabled. RELNOTES: n/a PiperOrigin-RevId: 167646637 * Extended ScratchSpace to expose its underlying scratch tensor object. PiperOrigin-RevId: 167649551 * Change zip(...)[1] to list(zip(...))[1], for python 3 compatibility. PiperOrigin-RevId: 167654035 * Add scoped timer to log jit compile times. RELNOTES: n/a PiperOrigin-RevId: 167656720 * Verify that predictions are in the expected range for ops that use thresholds, e.g. tf.contrib.metrics.streaming_auc. PiperOrigin-RevId: 167658134 * Internal change. PiperOrigin-RevId: 167658401 * Fix list formatting PiperOrigin-RevId: 167660250 * Enable java test. PiperOrigin-RevId: 167660276 * Add shape functions on debug ops. PiperOrigin-RevId: 167668811 * Increase session_bundle_test to a medium test. PiperOrigin-RevId: 167672587 * Include layout of convolution input data in the op_profile. PiperOrigin-RevId: 167680208 * Fix tf.sparse_add for SparseTensor with _ref typed values. Example: st = tf.SparseTensor( indices=[[1]], values=tf.Variable([1.0]), dense_shape=[1]) tf.sparse_add(st, st) PiperOrigin-RevId: 167681121 * Fix conversion to explicit scalar broadcast The dimensions field of a broadcast HLO op is meant to be populated with the dimensions that are broadcasted, which in case of a scalar is the empty vector. Generally, the rank of the operand of a broadcast op should always equal the size of the dimensions vector. PiperOrigin-RevId: 167686946 * Add 'unknown shape' shape functions on deprecated linalg ops. PiperOrigin-RevId: 167719029 * Be more careful in IsInitalized, and log when it is called on an unknown node_id. PiperOrigin-RevId: 167722344 * tfdbg: Refactor graph-processing code out of debug_data.py The basic idea is to separate the code in debug_data.py that handles graph structures into its own module (debug_graphs.py). This tackles an existing TODO item to simplify the code debug_data.DebugDumpDir. In a later CL, code will be added to debug_graphs.DebugGraph to allow reconstruction of the original GraphDef, i.e., the GraphDef without the Copy* and Debug* nodes inserted by tfdbg. This will be useful for, among other things, the TensorBoard Debugger Plugin. PiperOrigin-RevId: 167726113 * internal PiperOrigin-RevId: 167727508 * Update MaxPoolV2Shape to support NCHV_VECT_C. PiperOrigin-RevId: 167732437 * Deleting tf.contrib.learn.dnn benchmark tests. PiperOrigin-RevId: 167741308 * Fix off-by-one documentation error. sequence_lengths is the actual length of the sequence and therefor should not be used as zero-based indexing. The code is correct but the documentation was misleading. PiperOrigin-RevId: 167742082 * contrib summaries work in eager-graph mode (with defun) As a side effect fix issues related to using eager-defined variables in graph mode. PiperOrigin-RevId: 167744121 * Fix minor documentation error in ZlibInputStream. PiperOrigin-RevId: 167745218 * Sets the distributed training related properties of RunConfig based on TF_CONFIG. PiperOrigin-RevId: 167752997 * Improved documentation about eval ops in EstimatorSpec. PiperOrigin-RevId: 167753099 * Automated g4 rollback of changelist 156748870 PiperOrigin-RevId: 167753805 * Make cuda_solvers_gpu.cu.cc compile with nvcc8. PiperOrigin-RevId: 167754383 * Add csv dataset example to get_started/regression. PiperOrigin-RevId: 167754634 * Switches to OrderedDict to make the dictionary order deterministic so we have less randomness from graph building. PiperOrigin-RevId: 167755072 * Add int8 version of fused_conv2d_bias_activation operator for the forward phase, and support side_input and scaling parameters in float and int8 versions. PiperOrigin-RevId: 167763219 * Make the text summary write no plugin data content This is actually a safe removal because no logic makes use of the content of text plugin data. PiperOrigin-RevId: 167763880 * Avoid unnecessary buffer allocations & deallocations Before this change, when we reached the end of a file, we would (1) clear the existing buffer (which at large buffer sizes typically involved deallocating it). (2) reserve a buffer (which at large buffer sizes is non-trivial) (3) realize we had reached EoF, and therefore clear the buffer, deallocating it again. With this change, whenever the buffered reader detects an EoF condition, we remember it, so that we can short-circuit the above logic. The above optimization results in a more than 25x performance improvement for large buffers reading small files. PiperOrigin-RevId: 167766751 * [TF:XLA] In Literal: correctly handle operands with zero elements in Copy. PiperOrigin-RevId: 167769308 * Reduce batch size for resampler backward pass test, to speed up test. PiperOrigin-RevId: 167769539 * Remove `SimpleGraphExecutionState::costs_`, which is unused. PiperOrigin-RevId: 167772120 * detecting cycles when users add a control edge to a graph PiperOrigin-RevId: 167773598 * Make writer_test avoid setting content to a string That content field of the PluginData proto is going to be converted into a bytes field, and setting it to a string makes the test fail. Furthermore, the purpose of this test is to make sure that correct data is written, so setting the name of the plugin suffices. PiperOrigin-RevId: 167776457 * Propagate the original stack trace when exceptions caught be MonitoredSession are re-raised. PiperOrigin-RevId: 167781071 * Change trace.py to not access a graph as a default argument. Checks for None and access via default graph inside the function. PiperOrigin-RevId: 167788815 * Added custom metric support for tf.estimator.Estimator. PiperOrigin-RevId: 167788891 * A eager Saver that allows restore on create. PiperOrigin-RevId: 167789332 * Make content field of PluginData a bytes field The content field had previously been a string field, which had been problematic because string fields can only store UTF-8 strings. This problem can manifest in various ways. For instance, take the precision-recall curve plugin. Its summary collects data that scales in size based on the number of thresholds. When the content field is a string, the summary logic serializes the relevant data proto just fine when we only have a few thresholds (about 100). However, for large numbers of thresholds (ie, around 200), the summary logic fails to serialize and throws a cryptic error. ValueError: '\x10\xc8\x01' has type str, but isn't valid UTF-8 encoding. Non-UTF-8 strings must be converted to unicode objects before being added. Changing the content field to a bytes field fixes this issue because bytes fields are not restricted to UTF-8 strings. I just happened to have needed a long enough string for the string to no longer be a valid UTF-8 one. PiperOrigin-RevId: 167790594 * Temporarily disable tf_should_use wrapper, since it can cause python Graph/Operation/Tensor memory leaks. PiperOrigin-RevId: 167790657 * Ensure using "path" as a URI will keep working. PiperOrigin-RevId: 167793848 * Fix typo in graph transforms error message PiperOrigin-RevId: 167796563 * Merge changes from github. END_PUBLIC --- Commit 607816029 authored by Eugene Brevdo<ebrevdo@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Extended ScratchSpace to expose its underlying scratch tensor object. PiperOrigin-RevId: 167649551 --- Commit db43fe68e authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add fast math attributes to all generated methods when fast math enabled. RELNOTES: n/a PiperOrigin-RevId: 167646637 --- Commit aebe8cc6f authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Call HloComputation.Accept instead of HloInstruction.Accept to get all instructions profiled. RELNOTES: n/a PiperOrigin-RevId: 167640259 --- Commit 0ab137cd8 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: BEGIN_PUBLIC Automated g4 rollback of changelist 167604306 PiperOrigin-RevId: 167800256 * Update ops-related pbtxt files. PiperOrigin-RevId: 167802521 * Go: Update generated wrapper functions for TensorFlow ops. PiperOrigin-RevId: 167804076 * Add sloppy_interleave dataset operator. When feeding data at high speed into a model from variable-latency data sources, head-of-line blocking can be a significant concern when using a deterministic input pipeline, such as interleave. This change introduces a new non-deterministic dataset operator that avoids head-of-line blocking. PiperOrigin-RevId: 167810743 * Update ops-related pbtxt files. PiperOrigin-RevId: 167811375 * tfdbg: Fix python3 breakage in grpc debug tests caused by bytes-type plugin_data content PiperOrigin-RevId: 167812508 * [XLA] Rip CheckFusionNode() out of instruction, and move it into the HLO verifier instead. CheckFusionNode() is linear in the size of the fusion node, and was called once per Fuse(), leading to run-time quadratic in the fusion node's size. PiperOrigin-RevId: 167812735 * Disable tensorflow/contrib/data/python/kernel_tests/sloppy_transformation_dataset_op_test.py in cmake.
* Make plugin_data an optional field of SummaryMetadataGravatar A. Unique TensorFlower2017-08-08
| | | | | | Every summary op writes data for a single plugin to process. Hence, each SummaryMetadata proto should have a single PluginData optional field (instead of a repeated one). This removes much complexity from TensorBoard logic that loops over the plugin data. It also simplifies the SQL schema - it can now enforce a one-to-one relationship between summary op and plugin. PiperOrigin-RevId: 164659570
* Make PluginData best practice be binary protoGravatar Justine Tunney2017-08-02
| | | | | | | | | | | Unlike JSON, protobufs have schemas with types and generate object mappers for us. This makes it easier to implement. The proto definition makes it clear during code review when the structure of permanent data is being changed. It also gives us a history of what it looked like at past revisions. This makes it easier for us to support data in the long term. PiperOrigin-RevId: 164032776
* Add support for display_name and summary_description to the ↵Gravatar Dandelion Man?2017-07-19
| | | | | | | | | | | tf.summary.tensor_summary op. The display_name will be used to display the series in TensorBoard, in lieu of the tag, assuming that it is specified. (When it is not specified, behavior will stay the same.) The summary_description will allow the user to write a longform readable description of the summary series for display in TensorBoard. Markdown will be supported. This will make it possible for TensorBoard-2 summary ops to give the user direct control over the display name, solving https://github.com/tensorflow/tensorboard/issues/59. PiperOrigin-RevId: 162566261
* Add a kernel for a new TensorSummaryOpV2. Add a test for it.Gravatar A. Unique TensorFlower2017-06-12
| | | | | | | | | | | | | Add a metadata field (type SummaryMetadata) to the Summary::Value proto. Refactor the static methods in summary.py into a summary_op_util.py file. Unlike the TensorSummaryOp, TensorSummaryOpV2 - passes a tag to the C++ level. This is more consistent with the rest of the summaries. - lets the user pass a third argument that is a serialized SummaryMetadata proto. The SummaryMetadata contains plugin-specific data. This lets TensorBoard determine which events are relevant to which plugins. We must make a new op instead of modifying the TensorSummaryOp because we must be backwards compatible. PiperOrigin-RevId: 158797579
* Simplify api for tf.summary.tensor_summary and tf.summary.scalarGravatar Dan Mané2016-10-13
| | | | | | | | | tf.summary.tensor_summary and tf.summary.scalar now use "name" rather than "tag" to organize what data they contain. This re-uses the existing TF name mechanism rather than inventing a new one. Additional metadata (e.g. a type hint for the data) is now communicated via a SummaryDescription protocol buffer rather than attr fields. There are some unused fields on the TensorSummary op that are being left for backwards compatibility. Change: 136095678
* Parse tf.Example using arena allocation. Dense string benchmark shows 10-20% ↵Gravatar A. Unique TensorFlower2016-07-06
| | | | | | speedup. Change: 126726018
* First step for adding the new TensorSummary op: Add fields to summary.protoGravatar Dan Mané2016-07-01
| | | | Change: 126453617
* Audio summary support.Gravatar RJ Ryan2016-04-26
| | | | | | | | | * Add a simple S16LE WAV encoder. * Add an Audio value type to Summary protocol buffer. * Add AudioSummary kernel and op. * Add support to EventAccumulator/EventMultiplexer for Audio events. * Add 16-bit little endian encode/decode functions. Change: 120854931
* Enables java_multiple_files for all tf protos, and sets theGravatar A. Unique TensorFlower2016-02-09
| | | | | | | | | | | outer class name consistently to <FileName>Protos. Also specifies the java namespace as org.tensorflow.*. This enables compiling tf protos with nano proto for Android (which currently does not work because of file/message name clashes) and follows the same convention for proto3 as used by the API platform. Change: 114279703
* TensorFlow: Initial commit of TensorFlow library.Gravatar Manjunath Kudlur2015-11-06
TensorFlow is an open source software library for numerical computation using data flow graphs. Base CL: 107276108
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