aboutsummaryrefslogtreecommitdiffhomepage
path: root/tensorflow/core/framework/common_shape_fns.h
Commit message (Collapse)AuthorAge
* More changes.Gravatar Pan Daoxin2018-09-21
|
* Move location of Slice shape function.Gravatar Pan Daoxin2018-09-19
|
* fix C++ header guards.Gravatar A. Unique TensorFlower2018-08-21
| | | | PiperOrigin-RevId: 209679086
* Add a utility function so broadcasting can be done over arbitrary ↵Gravatar A. Unique TensorFlower2018-07-05
| | | | | | ShapeHandle objects. PiperOrigin-RevId: 203354718
* Add ExplicitShapes as a new shape inference function for Ops withGravatar A. Unique TensorFlower2018-05-14
| | | | | | multiple outputs, each of which is explicitly declared. PiperOrigin-RevId: 196579920
* Automated g4 rollback of changelist 190858242Gravatar Jianwei Xie2018-03-29
| | | | PiperOrigin-RevId: 190953197
* Automated g4 rollback of changelist 190835392Gravatar Anna R2018-03-28
| | | | PiperOrigin-RevId: 190858242
* Merge changes from github.Gravatar Jianwei Xie2018-03-28
| | | | PiperOrigin-RevId: 190835392
* Remove THIRD_PARTY_ from #include guardsGravatar Sanjoy Das2018-01-24
| | | | | | They don't make sense in the open source repository. PiperOrigin-RevId: 183140889
* Add V2 versions of output window size computation functions for convolution.Gravatar Yangzihao Wang2017-10-04
| | | | | | | These V2 versions take arbitrary dilation rates. In preparation for the support of native cudnn dilated convolution. PiperOrigin-RevId: 171048878
* Updates the API for tf.space_to_depth and tf.depth_to_space to support NCHW ↵Gravatar A. Unique TensorFlower2017-09-27
| | | | | | | | | and NCHW_VECT_C. Implements NCHW support for tf.space_to_depth on GPU. Other combinations implied by the API change will be implemented in follow up changes. PiperOrigin-RevId: 170296664
* Add float16 support to tf.nn.fused_batch_norm on the GPU.Gravatar Reed Wanderman-Milne2017-09-27
| | | | | | Scale, offset, mean, and variance must still be float32 if the input is float16. PiperOrigin-RevId: 170239448
* Merge changes from github.Gravatar Shanqing Cai2017-09-25
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | END_PUBLIC --- Commit 1e1b3d902 authored by Pete Warden<pete@petewarden.com> Committed by gunan<gunan@google.com>: Changed output directory for Pi CI build to fix permissions problem with nightlies (#13257) * Fix for RTLD_GLOBAL breakage of Pi builds, and removed Eigen version change for Pi that's no longer needed * Fixed Pi Zero OpenBLAS build problems and tidied up directories used * More robust checks in Pi build script * Changed output directory for Pi CI build to fix permissions problem --- Commit fe3a2e65c authored by Yan Facai (???)<facai.yan@gmail.com> Committed by drpngx<drpngx@users.noreply.github.com>: check invalid string type for dest_nodes in extract_sub_graph (#13057) * BUG: check str type * TST: add unit test * CLN: remove list check * CLN: use warning * CLN: 2 indent * CLN: raise TypeError if not list * CLN: check string only --- Commit 225ab7629 authored by Jean Wanka<jm.wanka@gmail.com> Committed by Jean Wanka<jm.wanka@gmail.com>: Fix polynomial decay with cycle for global step=0 For polynomial decay with cycle=True the learning rate at step 0 becomes NaN, because in the process of calculating it we devide by 0. This change should fix it, by setting the multiplier for the decay steps to one for global_step=0. --- Commit 286f57061 authored by Bjarke Hammersholt Roune<broune@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make Service::TransferToClient not attempt to manipulate the literal when the transfer failed, preventing a crash and allowing the caller to see the reason for the failed transfer. PiperOrigin-RevId: 169770126 --- Commit e0501bc4d authored by Yong Tang<yong.tang.github@outlook.com> Committed by Shanqing Cai<cais@google.com>: Fix GRUBlockCell parameter naming inconsistency (#13153) * Fix GRUBlockCell parameter naming inconsistency This fix tries to fix the issue in 13137 where parameter `cell_size` is used instead of `num_units`. This is inconsistent with other RNN cells. This fix adds support of `num_units` while at the same time maintains backward compatiblility for `cell_size`. This fix fixes 13137. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add `@deprecated_args` for 'cell_size' in `GRUBlockCell` This commit adds `@deprecated_args` for 'cell_size' in `GRUBlockCell` Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Address review comment Signed-off-by: Yong Tang <yong.tang.github@outlook.com> --- Commit 02a2eba05 authored by Pete Warden<pete@petewarden.com> Committed by gunan<gunan@google.com>: Fix for RTLD_GLOBAL breakage of Pi builds, and removed Eigen version change that's no longer needed (#13251) * Fix for RTLD_GLOBAL breakage of Pi builds, and removed Eigen version change for Pi that's no longer needed * Fixed Pi Zero OpenBLAS build problems and tidied up directories used * More robust checks in Pi build script --- Commit 8ef722253 authored by Sanjoy Das<sanjoy@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Remove a redundant setName. The EmitComputation should have emitted a function with the right name, so use a CHECK instead. PiperOrigin-RevId: 169764856 --- Commit 1b94147dc authored by Neal Wu<wun@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix broken GitHub links in tensorflow and tensorflow_models resulting from The Great Models Move (a.k.a. the research subfolder) PiperOrigin-RevId: 169763373 --- Commit b1ada5f0c authored by Justine Tunney<jart@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix TensorBoard python -m invoke in docs PiperOrigin-RevId: 169758752 --- Commit 2957cd894 authored by Mustafa Ispir<ispir@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Local run option of estimator training. PiperOrigin-RevId: 169756384 --- Commit 1dc2fe7ac authored by Gunhan Gulsoy<gunan@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: BEGIN_PUBLIC Automated g4 rollback of changelist 166264198 PiperOrigin-RevId: 169998124
* Move FusedConvBiasActivationShape out of common_shape_fns.cc to a lambda ↵Gravatar A. Unique TensorFlower2017-09-11
| | | | | | inside the op. PiperOrigin-RevId: 168300911
* Merge changes from github.Gravatar A. Unique TensorFlower2017-08-15
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | END_PUBLIC --- Commit 9f81374c3 authored by raymondxyang<zihao.yang@microsoft.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Add option for build more python tests in Cmake (#11853) * Ignore Windows built project * Fix deprecated methods in tf.contrib.python * Fix regex match for Windows build in contrib.keras * Fix Regex match for Windows build in session_bundle * * Fix deprecated methods * Fix regex match for Windows * Fix compatibility issue with Python 3.x * Add missing ops into Windows build for test * Enabled more testcases for Windows build * Clean code and fix typo * Add conditional cmake mode for enabling more unit testcase * Add Cmake mode for major Contrib packages * Add supplementary info in RAEDME for new cmake option * * Update tf_tests after testing with TF 1.3 * Clean code and resolve conflicts * Fix unsafe regex matches and format code * Update exclude list after testing with latest master branch * Fix missing module --- Commit 98f0e1efe authored by Yong Tang<yong.tang.github@outlook.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Dynamic ksize and strides with MaxPool (#11875) * Dynamic ksize with max_pool This fix tries to fix the issue raised in 4746 where ksize is static (attr) with max_pool. This fix changes ksize to input tensor so that it is dynamic now. This fix fixes 4746. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add dynamic ksize to MaxPoolGrad and MaxPoolGradGrad Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add test cases for max_pool_v2 Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Fix GPU Jenkins issue. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Enable MaxPoolV2 in GPU Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Hide MaxPoolV2 and other fixes. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> --- Commit 02d6bc185 authored by Bairen Yi<byronyi@users.noreply.github.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: remove useless variable (#12212) --- Commit ed6b0d905 authored by namrata-ibm<bhavenamrata@gmail.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Adding support for s390x in calculation of cpu_frequency (#12201) --- Commit 627dfc9dd authored by Taehoon Lee<taehoonlee@snu.ac.kr> Committed by Taehoon Lee<taehoonlee@snu.ac.kr>: Fix typos --- Commit c0f9b0a91 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: In fast-math mode emit a tanh that has a faster min/max. PiperOrigin-RevId: 164943597 --- Commit 87605f3d6 authored by Kay Zhu<kayzhu@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [TF:XLA] Use HloEvaluator for ComputeConstant, remove the need of a dedicated compute constant backend. PiperOrigin-RevId: 164940970 --- Commit 881de45c2 authored by Taehoon Lee<me@taehoonlee.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Add bool type supports for GPU kernels (#11927) * Add bool type supports for GPU kernels * Add bool type test codes for GPU kernels --- Commit eeacdcdb1 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add missing "CPU" suffix in registrations. PiperOrigin-RevId: 164939527 --- Commit de01be952 authored by namrata-ibm<bhavenamrata@gmail.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Adding support for Big Endian in graph_constructor_test and wav_io (#12179) --- Commit 26719d29f authored by QingYing Chen<pkudysj@126.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Implement CRF decode (Viterbi decode) for tensor (#12056) * Implement CRF decoding for tensors * add test code for tensor version's CRF decoding * made modifications according to pylint * add some comments for crf decode * remove useless code * add comments at the top comment of crf module and add more comments in crf_test * capitalize first char of first word in comments * replace crf_decode test code with a deterministic example --- Commit f9a81ca2f authored by Pete Warden<pete@petewarden.com> Committed by gunan<gunan@google.com>: Create CI build script for Raspberry Pi (#12190) * Create CI build script for Raspberry Pi * Moved location of Pi build script --- Commit e2a163a90 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Merge code from PR #11940 with internal changes from cl/164796436, and update Python tests to also run on GPU. PiperOrigin-RevId: 164929133 --- Commit 08bbfa187 authored by Taehoon Lee<me@taehoonlee.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Fix typos (#12195) --- Commit ab96f41fb authored by Luke Iwanski<luke@codeplay.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: [OpenCL] Extends matmul_benchmark.py to cover SYCL (#11697) * [OpenCL] Extends matmul_benchmark.py to cover SYCL * Fixed typo * /gpu:0 -> /device:GPU:0 * Fixes control_flow_ops_py_test * /gpu: -> /device:GPU: * Fixes //tensorflow/python/profiler/internal:run_metadata_test * gpu: -> GPU: * Fixes tfprof_node * [OpenCL] Fixes device path to name with many colons (#123) The device path is constructed from a device name by replacing all colons with underscores. Some device names contain more than one colon, for example 'device:SYCL:0' which gives a path 'device_SYCL_0'. The previous code would not convert this back to the original device name, but rather to 'device:SYCL_0'. An alternative fix would be to convert all underscores to colons in the device name (i.e. remove the restriction inside `replace("_", ":", 1)`), however I'm not sure if there are any device names which contain underscores. * If no gpu device aviable fake one * gpu: -> device:GPU * Fixes profiler test * /gpu:x -> /device:GPU:x * Fixes debug_io_utils_test.cc test * Fixes device_name_utils_test.cc --- Commit 35e7a3665 authored by Yong Tang<yong.tang.github@outlook.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: Remove unneeded casting of int64 for reverse_sequence (#12192) This fix remove unneeded cast of int64 for reverse_sequence: ``` lengths = math_ops.to_int64(lengths) ``` as int32 has already been enabled for reverse_sequence. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> --- Commit 9fba8c185 authored by Anna R<annarev@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add benchmark dashboard link to benchmarks doc. Also, I added a link and description for Benchmarks page to Community index page. PiperOrigin-RevId: 164924906 --- Commit bb6f32fa7 authored by Mark Heffernan<meheff@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make HloAliasAnalysis updatable after changes to the HLO graph. As part of this change make HloAliasAnalysis a thinner layer which basically only holds a map from HloValue to HloBuffer and vice versa. PiperOrigin-RevId: 164923041 --- Commit 9103096c1 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by Thomas K?ppe<tkoeppe@google.com>: Merged commit includes the following changes: 164923041 by meheff: Make HloAliasAnalysis updatable after changes to the HLO graph. As part of this change make HloAliasAnalysis a thinner layer which basically only holds a map from HloValue to HloBuffer and vice versa. -- PiperOrigin-RevId: 164923041 --- Commit 822603aed authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Merging sibling fusion instruction using multi_output_fusion PiperOrigin-RevId: 164920220 --- Commit c035aa2a8 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Go: Update generated wrapper functions for TensorFlow ops. PiperOrigin-RevId: 164917891 --- Commit e1e81d9ba authored by Luke Iwanski<luke@codeplay.com> Committed by Rasmus Munk Larsen<rmlarsen@google.com>: [OpenCL] Fixes double memcpy bug (#151) (#12173) * [OpenCL] Fixes double memcpy bug (#151) As the debg CopyOp is called on a Tensor without type, we need to use the DataType enum to get type information, and use this to pass the type on to Eigen. This is a workaround Eigen's need to have a type when calling memcpy. If the Eigen memcpy can be provided without a type requirement, then the memcpy in sycl_util is unnecessary. * Acts on feedback from: #12173/files/32cb12a9001b672425867b5a3110fd98e737a20b#r132496277 --- Commit d9ca2d86d authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Internal change PiperOrigin-RevId: 164916465 --- Commit b8d13d218 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Remove more parts of DCASGD missed in the first pass. (47949b) PiperOrigin-RevId: 164914552 --- Commit 73b3d52c7 authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: cmake fix PiperOrigin-RevId: 164911656 --- Commit 2173b5b0a authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Allow TFE_TensorHandleCopyToDevice to have the same device as src and destination. It will reuse the same underlying buffer in those cases. PiperOrigin-RevId: 164909906 --- Commit 13eb3b90e authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Experimental C and Python APIs to invoke TensorFlow kernels on concrete values. PiperOrigin-RevId: 164902588 --- Commit 7dfabcc01 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Initialize ExecutionOptions in ComputeConstant to default values. PiperOrigin-RevId: 164894867 --- Commit c8897e9bc authored by Benoit Steiner<bsteiner@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Static required time computation PiperOrigin-RevId: 164894645 --- Commit 076158f9b authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Enable implicit->explicit conversion by default. PiperOrigin-RevId: 164890915 --- Commit 58c4a4cb1 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Bugfix: number of input channels is not necessarily in the last dimension, after introduction of data_format param. PiperOrigin-RevId: 164889729 --- Commit 8f9b1af8a authored by Igor Saprykin<isaprykin@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Recover MonitoredSession when the Coordinator is requested to stop with one of the _PREEMPTION_ERRORS. When SyncReplicasOptimizer is used, a preemption in the Coordinator may result in two cases: Case 1) the session gets silently marked as complete Case 2) the session gets stuck This CL aims to solve and verify solutions for both of these problems. Fix 1 changes the should_stop logic. Fix 2 changes the CoordinatedSession.run() logic. SyncReplicasOptimizer runs a separate set of threads using a Coordinator instance. Those threads do FIFOQueue.enqueue; the main thread does a blocking FIFOQueue.dequeue. `sync_token_q` FIFOQueue is on parameter-servers. When one of the PS instances gets preempted, an AbortedError causes the Coordinator to stop via request_stop(ex). That by itself changes the state of MonitoredSession.should_stop() to True (Fix 1). Results of the blocking Dequeue operation are sent to the chief worker via Recv. What happens next depends on the amount of tokens in `sync_token_q`. If there are enough for the next call to Dequeue to return, then the low-level "tf session run() call" returns. The next iteration of the `while not MonitoredSession.should_stop()` loop decides that the training is complete (Case 1). If there are not enough tokens in `sync_token_q`, then the blocking Dequeue is going to keep waiting for them. This results in the graph execution getting stuck and the whole session getting garbage collected after 10 minutes (Case 2). We decided to fix that by re-creating a session after it gets garbage collected (Fix 2). An alternative was to try to cancel the pending Dequeue operation, but it's not clear that it is the right thing to do and it is also not easy. PiperOrigin-RevId: 164888390 --- Commit 46e4de6e5 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Undo loop fusion changes for now as they seem to be altering a few results. END_PUBLIC RELNOTES: n/a BEGIN_PUBLIC BEGIN_PUBLIC Automated g4 rollback of changelist 164825735 PiperOrigin-RevId: 165340331
* Add fused_conv2d_bias_activation operator for the forward phase.Gravatar Yangzihao Wang2017-07-20
| | | | PiperOrigin-RevId: 162624917
* Fix bugs in ScatterNd and add ScatterNdNonAliasingAdd.Gravatar Eugene Brevdo2017-06-27
| | | | | | | | | tf.scatter_nd_non_aliasing_add acts similarly to tf.scatter_nd_add but works on non-ref objects (i.e., Tensors -- not Variables). This means it has a gradient with respect to the primary input as well as the updates. It does its best to avoid making extra copies of the input. PiperOrigin-RevId: 160339328
* Move a few random op helper functions to header filesGravatar Geoffrey Irving2017-04-07
| | | | | | 1. shape_inference::RandomShape 2. OpKernel::MakeShape(Tensor, TensorShape*) Change: 152522156
* Change reduce_join to treat reduction_indices in the same way asGravatar A. Unique TensorFlower2017-01-09
| | | | | | | | | | | other reduce_ ops: - [] is no longer special, it means to do no reduction - None is handled in python to mean "reduce all dims" - reducing over a scalar is supported Unlike other reduce_ ops, reduce_join still disallows duplicate reduction indices. This is because the order of the indices matters. Change: 143984486
* Move ValidateSparseTensor to common_shape_fns.h.Gravatar A. Unique TensorFlower2016-11-14
| | | | Change: 139112567
* Fix QuantizedConcat shape function. Enable it from python as well.Gravatar A. Unique TensorFlower2016-11-11
| | | | Change: 138895028
* Make the DimensionHandle version of computing windowed output sizeGravatar Vijay Vasudevan2016-10-31
| | | | | public. Change: 137774322
* Add ConcatV2 operation which is the same as Concat but with argument orderGravatar A. Unique TensorFlower2016-10-20
| | | | | swapped. Change: 136763054
* Move BinaryBroadcastShapeFn to core/framework/common_shape_fns.hGravatar A. Unique TensorFlower2016-10-06
| | | | Change: 135363012
* Switch ops in functional_ops, math_ops, state_ops, string_ops,Gravatar A. Unique TensorFlower2016-09-09
| | | | | | | | | | | | | | | | | contrib/quantization, and contrib/layers to use C++ shape inference functions. Implement Betainc C++ shape inference function; it's a little different from the python one, mainly because propagating an unknown input (a_shape in this case) when all are unknown is not correct for C++ (in case we later backwards bind the value), since it could end up being a broadcasted scalar. Change ReduceJoin's C++ shape inference function to match python. Fix SymbolicGradient's shape function in C++ - there are actually more inputs than outputs. Changes QuantizedBiasAdd to be more precise (the C++ shape fn invokes the common bias_add to compute the shape of the first output). Change: 132688147
* Add shape_inference::ShapeHandle and shape_inference::DimensionHandle toGravatar A. Unique TensorFlower2016-08-23
| | | | | | | | replace uses of const Shape* and const Dimension*. This change only adds a typedef and updates references. A later change will make DimensionHandle and ShapeHandle real types instead of typedefs (to further hide the pointer access). Change: 131118981
* Add shape function for QuantizedConcat, moving ConcatShape intoGravatar Vijay Vasudevan2016-08-10
| | | | | a common shape fn. Change: 129928393
* TensorFlow: shape function in C++ for Reduction operations.Gravatar Vijay Vasudevan2016-08-10
| | | | | | Change ReduceJoin to have the same shape function as other reduction operations, including the same rank requirements. Change: 129888814
* TensorFlow: Add Conv3D/MaxPool3D/AvgPool3D C++ shape inference functions .Gravatar Vijay Vasudevan2016-08-01
| | | | Change: 129011665
* TensorFlow: implement MaxPoolShape common function + tests, add toGravatar Vijay Vasudevan2016-07-29
| | | | | | | | ops that need it. Moved one of the implementation-specific checks in the shape function to the kernel instead, where it belongs. Change: 128834923
* TensorFlow: Annotate UnknownShape common shape function to allGravatar Vijay Vasudevan2016-07-27
| | | | | ops that currently do the same in python. Change: 128627877
* Add C++ Shape function for AvgPoolGravatar Vijay Vasudevan2016-07-22
| | | | Change: 128219991
* Add ShapeInference functions for DepthwiseConv2DNative, and MultiplyGravatar Vijay Vasudevan2016-07-21
| | | | | support to ShapeInference in support of DepthwiseConv. Change: 128114077
* Added C++ Shape inference function for Conv2D.Gravatar Vijay Vasudevan2016-07-20
| | | | | | Moved some of the utilities we use for computing 2d output shapes into common_shape_fns.h to share some of this code. Change: 128008947
* Add C++ shape inference functions for more functions in nn_ops.cc.Gravatar A. Unique TensorFlower2016-07-19
| | | | | Add shape_inference::InferenceContext::ReplaceDim. Change: 127893881
* Implement more common shape functions in C++ with tests:Gravatar Vijay Vasudevan2016-07-15
| | | | | | | | - MatMulShape - BiasAddShape - NoOutputs - ScalarShape Change: 127592611
* Add shape functions in math_ops for unchanged shapes and segment reductionGravatar A. Unique TensorFlower2016-06-20
shapes. Also restored math_ops_test and shape_inference_testutil_test in BUILD file that were dropped from original change somehow. Change: 125376193
generated by cgit v1.2.3 (git 2.39.1) at 2024-06-26 04:19:54 +0000