History log of /external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h
Revision Date Author Comments (<<< Hide modified files) (Show modified files >>>)
d100729c309cb22baf1630d9f39cf60516c58cdf 21-Feb-2018 Daniel Trebbien <dtrebbien@gmail.com> Add missing `override' (#17118)

This fixes a warning produced by clang:
./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h:470:8: warning: 'InitLeafClassStats' overrides a member function but is not marked 'override' [-Winconsistent-missing-override]
void InitLeafClassStats(int best_split_index, LeafStat* left_stats,
^
./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h:190:16: note: overridden virtual function is here
virtual void InitLeafClassStats(int best_split_index, LeafStat* left_stats,
^
/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h
4463d105a8a4a83642b9709ba79310e8f4ddf577 30-Jan-2018 A. Unique TensorFlower <gardener@tensorflow.org> Cleanup: Ran clang-format on all *.{cc,h} files in tensorflow/contrib/.../*.{hh,c}.

PiperOrigin-RevId: 183855242
/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h
7578785dff668c63ba6b5423a6bf2a5984c7b409 26-Jan-2018 A. Unique TensorFlower <gardener@tensorflow.org> Fix override annotations

PiperOrigin-RevId: 183367326
/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h
f8347ceebbad0e06552633fcdf8e63f52246ba62 24-Jan-2018 Sanjoy Das <sanjoy@google.com> Remove THIRD_PARTY_ from #include guards

They don't make sense in the open source repository.

PiperOrigin-RevId: 183140889
/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h
054b88233bf6d6bc5b953fca50dbb01d108b2d18 21-Sep-2017 A. Unique TensorFlower <gardener@tensorflow.org> Add fixed space sparse class stats handling.

PiperOrigin-RevId: 169570470
/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h
90d6421c5e0898fb840197d9533c2f8ba1a7c651 11-Jul-2017 Shanqing Cai <cais@google.com> Merge changes from github.
END_PUBLIC

---
Commit d0f53f77f authored by Penghao Cen<scorpiocph@gmail.com>
Committed by Shanqing Cai<cais@google.com>:
Minor fix typo (#11323)

---
Commit 02fcf564e authored by Chris Song<sjhshy@gmail.com>
Committed by Chris Song<sjhshy@gmail.com>:
Fix misspells.

---
Commit 764c9b6b4 authored by Louis Tiao<ltiao@users.noreply.github.com>
Committed by GitHub<noreply@github.com>:
Fixed typo in docstring
---
Commit f8cd1283e authored by Shanqing Cai<cais@google.com>
Committed by Shanqing Cai<cais@google.com>:
Chaser

---
Commit 01383b946 authored by Shanqing Cai<cais@google.com>
Committed by Shanqing Cai<cais@google.com>:
Adapt TensorFlowTestCase.setUp() to new reset_default_graph() semantics

Avoid calling reset_default_graph() directly to prevent exceptions in
cases where test methods error out from within nested graph contexts,
which can leave _default_graph_stack non-empty in certain Python
versions.

---
Commit 0ffc37890 authored by Amit Patankar<amitpatankar@google.com>
Committed by Amit Patankar<amitpatankar@google.com>:
Removing second declaration of functions.

---
Commit f9c9cacb0 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Refactor ElementalIrEmitter's slice index finding code into
IrArray::Index::SourceIndexOfSlice().

PiperOrigin-RevId: 161140653

---
Commit ba297aec9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update ops-related pbtxt files.

PiperOrigin-RevId: 161138258

---
Commit 68d666737 authored by Alexandre Passos<apassos@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixes a reentrant lock issue with tensors using ndarray memory which uses tensor memory.

PiperOrigin-RevId: 161137788

---
Commit a2ee8bca3 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add support for int8 x int8 -> int32 matrix multiplication via cublasGemmEx to stream_executor.

PiperOrigin-RevId: 161137741

---
Commit 755fa7b50 authored by Mark Daoust<markdaoust@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Block generate_test, and docs generating from running in python3.

- Doc generation is currently unsupported in python3

- These both end in errors in python 3.5.1+

PiperOrigin-RevId: 161137467

---
Commit 97cbcac45 authored by Peter Hawkins<phawkins@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Fix failure in functionalize_control_flow rewrite for Enter nodes that are unused. Make sure we ignore such nodes without producing an error.

PiperOrigin-RevId: 161136545

---
Commit dabcb60bc authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add reasonable error messages to Builder::Build for bad parameter numbers.

PiperOrigin-RevId: 161136262

---
Commit 0cbd249e8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Add complex tensors support to `matrix_determinant`.

PiperOrigin-RevId: 161132422

---
Commit 335f1f14d authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Extend static shape inference for SparseTensors with dense_shapes constructed using slicing.

PiperOrigin-RevId: 161132391

---
Commit 53604916e authored by Jianwei Xie<xiejw@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fixed the missing labels test in TPUEstimator.

PiperOrigin-RevId: 161131282

---
Commit 9f57dc8dd authored by Bruno Rosa<bruno.rosa@eldorado.org.br>
Committed by Bruno Rosa<bruno.rosa@eldorado.org.br>:
Use mcpu instead of march for ppc64le

march is not support by gcc on ppc64le

---
Commit 7d5c74a9c authored by Skye Wanderman-Milne<skyewm@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Move duplicate detection logic from Graph to FunctionLibraryDefinition

Turns out this is more useful, since there are many function libraries
that don't belong to a graph. This will be used in a future
change. Note that this maintains the current behavior of Graph.

In addition, updates FunctionDefsEqual() to handle unset attr entries
(I ran into this when using this in said future change).

PiperOrigin-RevId: 161126628

---
Commit 2caec3af1 authored by Shanqing Cai<cais@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Disable more timeseries py tests failing in OSS PIP GPU builds

PiperOrigin-RevId: 161124799

---
Commit 0b5cce367 authored by Eugene Brevdo<ebrevdo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Get TopK op working on GPU again. Extend using cub's radix sort.

1. Undo rollback of Andreas Kirsch's initial implementation.
2. Use cub segmented radix sort if Andreas' heap-based impl
for large k and small num_cols (thresholds of k=100, n=1000
determined empirically).
3. Use cub segmented radix sort if k == num_cols (this case is always faster).
4. Added benchmarks.

Benchmarks show that the GPU implementation is up to 3x slower for small k but
can be 10x faster for large num_cols and k.

Benchmarks:

Benchmark: m_128_n_10_k_5_use_gpu_False wall_time: 0.000166 s Throughput: 0.0077 GB/s
Benchmark: m_128_n_10_k_5_use_gpu_True wall_time: 0.000796 s Throughput: 0.00161 GB/s
Benchmark: m_128_n_10_k_9_use_gpu_False wall_time: 0.00017 s Throughput: 0.00751 GB/s
Benchmark: m_128_n_10_k_9_use_gpu_True wall_time: 0.000796 s Throughput: 0.00161 GB/s
Benchmark: m_128_n_10_k_10_use_gpu_False wall_time: 0.00017 s Throughput: 0.00753 GB/s
Benchmark: m_128_n_10_k_10_use_gpu_True wall_time: 0.000775 s Throughput: 0.00165 GB/s
Benchmark: m_128_n_100_k_1_use_gpu_False wall_time: 0.000155 s Throughput: 0.0826 GB/s
Benchmark: m_128_n_100_k_1_use_gpu_True wall_time: 0.000796 s Throughput: 0.0161 GB/s
Benchmark: m_128_n_100_k_50_use_gpu_False wall_time: 0.000247 s Throughput: 0.0519 GB/s
Benchmark: m_128_n_100_k_50_use_gpu_True wall_time: 0.0008 s Throughput: 0.016 GB/s
Benchmark: m_128_n_100_k_99_use_gpu_False wall_time: 0.000261 s Throughput: 0.049 GB/s
Benchmark: m_128_n_100_k_99_use_gpu_True wall_time: 0.000794 s Throughput: 0.0161 GB/s
Benchmark: m_128_n_100_k_100_use_gpu_False wall_time: 0.000239 s Throughput: 0.0536 GB/s
Benchmark: m_128_n_100_k_100_use_gpu_True wall_time: 0.000777 s Throughput: 0.0165 GB/s
Benchmark: m_128_n_1000_k_1_use_gpu_False wall_time: 0.000324 s Throughput: 0.395 GB/s
Benchmark: m_128_n_1000_k_1_use_gpu_True wall_time: 0.000916 s Throughput: 0.14 GB/s
Benchmark: m_128_n_1000_k_10_use_gpu_False wall_time: 0.00042 s Throughput: 0.305 GB/s
Benchmark: m_128_n_1000_k_10_use_gpu_True wall_time: 0.000902 s Throughput: 0.142 GB/s
Benchmark: m_128_n_1000_k_500_use_gpu_False wall_time: 0.0011 s Throughput: 0.116 GB/s
Benchmark: m_128_n_1000_k_500_use_gpu_True wall_time: 0.00097 s Throughput: 0.132 GB/s
Benchmark: m_128_n_1000_k_990_use_gpu_False wall_time: 0.00133 s Throughput: 0.0962 GB/s
Benchmark: m_128_n_1000_k_990_use_gpu_True wall_time: 0.000993 s Throughput: 0.129 GB/s
Benchmark: m_128_n_1000_k_1000_use_gpu_False wall_time: 0.00102 s Throughput: 0.126 GB/s
Benchmark: m_128_n_1000_k_1000_use_gpu_True wall_time: 0.000964 s Throughput: 0.133 GB/s
Benchmark: m_128_n_10000_k_10_use_gpu_False wall_time: 0.002 s Throughput: 0.64 GB/s
Benchmark: m_128_n_10000_k_10_use_gpu_True wall_time: 0.00288 s Throughput: 0.445 GB/s
Benchmark: m_128_n_10000_k_100_use_gpu_False wall_time: 0.00233 s Throughput: 0.549 GB/s
Benchmark: m_128_n_10000_k_100_use_gpu_True wall_time: 0.00325 s Throughput: 0.394 GB/s
Benchmark: m_128_n_10000_k_5000_use_gpu_False wall_time: 0.0127 s Throughput: 0.101 GB/s
Benchmark: m_128_n_10000_k_5000_use_gpu_True wall_time: 0.00381 s Throughput: 0.336 GB/s
Benchmark: m_128_n_10000_k_9900_use_gpu_False wall_time: 0.015 s Throughput: 0.0853 GB/s
Benchmark: m_128_n_10000_k_9900_use_gpu_True wall_time: 0.00438 s Throughput: 0.292 GB/s
Benchmark: m_128_n_10000_k_10000_use_gpu_False wall_time: 0.0104 s Throughput: 0.123 GB/s
Benchmark: m_128_n_10000_k_10000_use_gpu_True wall_time: 0.00427 s Throughput: 0.3 GB/s
Benchmark: m_128_n_100000_k_100_use_gpu_False wall_time: 0.0148 s Throughput: 0.865 GB/s
Benchmark: m_128_n_100000_k_100_use_gpu_True wall_time: 0.0262 s Throughput: 0.488 GB/s
Benchmark: m_128_n_100000_k_1000_use_gpu_False wall_time: 0.0201 s Throughput: 0.636 GB/s
Benchmark: m_128_n_100000_k_1000_use_gpu_True wall_time: 0.0263 s Throughput: 0.486 GB/s
Benchmark: m_128_n_100000_k_50000_use_gpu_False wall_time: 0.214 s Throughput: 0.0599 GB/s
Benchmark: m_128_n_100000_k_50000_use_gpu_True wall_time: 0.0322 s Throughput: 0.398 GB/s
Benchmark: m_128_n_100000_k_99000_use_gpu_False wall_time: 0.262 s Throughput: 0.0489 GB/s
Benchmark: m_128_n_100000_k_99000_use_gpu_True wall_time: 0.0377 s Throughput: 0.34 GB/s
Benchmark: m_128_n_100000_k_100000_use_gpu_False wall_time: 0.118 s Throughput: 0.108 GB/s
Benchmark: m_128_n_100000_k_100000_use_gpu_True wall_time: 0.0365 s Throughput: 0.351 GB/s

END_PUBLIC

BEGIN_PUBLIC
BEGIN_PUBLIC
Automated g4 rollback of changelist 157169178

PiperOrigin-RevId: 161476569
/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h
75f03e2d509d016021f8508555f9ab96af2c7cfe 06-Jul-2017 A. Unique TensorFlower <gardener@tensorflow.org> Add option to TensorForest to initialize splits with the average of 2 examples.

PiperOrigin-RevId: 161122345
/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h
1588d3790d759ee8a50e2bcf17b1eeadca69ba30 15-Jun-2017 A. Unique TensorFlower <gardener@tensorflow.org> Migrate core resource code for new version of TensorForest.

PiperOrigin-RevId: 159130303
/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h