aboutsummaryrefslogtreecommitdiffhomepage
path: root/unsupported
Commit message (Collapse)AuthorAge
...
| | * Remove redundant steal loopGravatar Eugene Zhulenev2019-03-06
| |/
| * Check that inner block dimension is continuousGravatar Eugene Zhulenev2019-03-05
| |
| * Block evaluation for TensorGeneratorOpGravatar Eugene Zhulenev2019-03-05
| |
| * Tune tensor contraction threadpool heuristicsGravatar Eugene Zhulenev2019-03-05
| |
| * Add an extra check for the RunQueue size estimateGravatar Eugene Zhulenev2019-03-05
| |
| * Do not create Tensor<const T> in cxx11_tensor_forced_eval testGravatar Eugene Zhulenev2019-03-05
| |
| * Do not initialize invalid fast_strides in TensorGeneratorOpGravatar Eugene Zhulenev2019-03-04
| |
| * Add tiled evaluation for TensorForcedEvalOpGravatar Eugene Zhulenev2019-03-04
| |
| * Use fast divisors in TensorGeneratorOpGravatar Eugene Zhulenev2019-03-04
| |
| * Fix specialization for conjugate on non-complex types in TensorBase.h.Gravatar Rasmus Munk Larsen2019-03-01
| |
| * Improve EventCount used by the non-blocking threadpool.Gravatar Rasmus Munk Larsen2019-02-22
| | | | | | | | | | | | | | | | | | | | The current algorithm requires threads to commit/cancel waiting in order they called Prewait. Spinning caused by that serialization can consume lots of CPU time on some workloads. Restructure the algorithm to not require that serialization and remove spin waits from Commit/CancelWait. Note: this reduces max number of threads from 2^16 to 2^14 to leave more space for ABA counter (which is now 22 bits). Implementation details are explained in comments.
| * Fix conversion warningsGravatar Gael Guennebaud2019-02-19
| |
| * Fix incorrect value of NumDimensions in TensorContraction traits.Gravatar Rasmus Munk Larsen2019-02-19
| | | | | | | | Reported here: #1671
| * Merged in ezhulenev/eigen-01 (pull request PR-590)Gravatar Rasmus Larsen2019-02-14
| |\ | | | | | | | | | Do not generate no-op cast() and conjugate() expressions
| * | Fix signed-unsigned return in RuqQueueGravatar Eugene Zhulenev2019-02-14
| | |
| * | Fix signed-unsigned comparison warning in RunQueueGravatar Eugene Zhulenev2019-02-14
| | |
| | * Do not generate no-op cast() and conjugate() expressionsGravatar Eugene Zhulenev2019-02-14
| |/
| * Speedup Tensor ThreadPool RunQueu::Empty()Gravatar Eugene Zhulenev2019-02-13
| |
| * Add PacketConv implementation for non-vectorizable src expressionsGravatar Eugene Zhulenev2019-02-08
| |
| * Optimize TensorConversion evaluator: do not convert same typeGravatar Eugene Zhulenev2019-02-08
| |
| * Spline.h: fix spelling "spang" -> "span"Gravatar Steven Peters2019-02-08
| |
| * Don't do parallel_pack if we can use thread_local memory in tensor contractionsGravatar Eugene Zhulenev2019-02-07
| |
| * Do not reduce parallelism too much in contractions with small number of threadsGravatar Eugene Zhulenev2019-02-04
| |
| * Parallelize tensor contraction only by sharding dimension and use ↵Gravatar Eugene Zhulenev2019-02-04
| | | | | | | | 'thread-local' memory for packing
| * Workaround lack of support for arbitrary packet-type in Tensor by manually ↵Gravatar Gael Guennebaud2019-01-30
| | | | | | | | loading half/quarter packets in tensor contraction mapper.
| * Hide some annoying unused variable warnings in g++8.1Gravatar Christoph Hertzberg2019-01-29
| |
| * Renaming even more `I` identifiersGravatar Christoph Hertzberg2019-01-26
| |
| * Avoid `I` as an identifier, since it may clash with the C-header complex.hGravatar Christoph Hertzberg2019-01-25
| |
| * Fix flaky test for tensor fft.Gravatar Rasmus Munk Larsen2019-01-16
| |
| * Fix shorten-64-to-32 warning in TensorContractionThreadPoolGravatar Eugene Zhulenev2019-01-11
| |
| * Fix shorten-64-to-32 warning in TensorContractionThreadPoolGravatar Eugene Zhulenev2019-01-10
| |
| * bug #1654: fix compilation with cuda and no c++11Gravatar Gael Guennebaud2019-01-09
| |
| * Optimize evalShardedByInnerDimGravatar Eugene Zhulenev2019-01-08
| |
| * Fix shorten-64-to-32 warning. Use regular memcpy if num_threads==0.Gravatar Rasmus Munk Larsen2018-12-12
| |
| * Remove debug code.Gravatar Gael Guennebaud2018-12-09
| |
| * Various fixes in polynomial solver and its unit tests:Gravatar Gael Guennebaud2018-12-09
| | | | | | | | | | | | - cleanup noise in imaginary part of real roots - take into account the magnitude of the derivative to check roots. - use <= instead of < at appropriate places
| * Merged in markdryan/eigen/avx512-contraction-2 (pull request PR-554)Gravatar Rasmus Munk Larsen2018-12-05
| |\ | | | | | | | | | | | | | | | Fix tensor contraction on AVX512 builds Approved-by: Rasmus Munk Larsen <rmlarsen@google.com>
| | * Fix evalShardedByInnerDim for AVX512 buildsGravatar Mark D Ryan2018-12-05
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | evalShardedByInnerDim ensures that the values it passes for start_k and end_k to evalGemmPartialWithoutOutputKernel are multiples of 8 as the kernel does not work correctly when the values of k are not multiples of the packet_size. While this precaution works for AVX builds, it is insufficient for AVX512 builds where the maximum packet size is 16. The result is slightly incorrect float32 contractions on AVX512 builds. This commit fixes the problem by ensuring that k is always a multiple of the packet_size if the packet_size is > 8.
| * | Fixed most conversion warnings in MatrixFunctions moduleGravatar Christoph Hertzberg2018-11-20
| | |
* | | ROCm/HIP specfic fixes + updatesGravatar Deven Desai2018-11-19
|/ / | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1. Eigen/src/Core/arch/GPU/Half.h Updating the HIPCC implementation half so that it can declared as a __shared__ variable 2. Eigen/src/Core/util/Macros.h, Eigen/src/Core/util/Memory.h introducing a EIGEN_USE_STD(func) macro that calls - std::func be default - ::func when eigen is being compiled with HIPCC This change was requested in the previous HIP PR (https://bitbucket.org/eigen/eigen/pull-requests/518/pr-with-hip-specific-fixes-for-the-eigen/diff) 3. unsupported/Eigen/CXX11/src/Tensor/TensorDeviceThreadPool.h Removing EIGEN_DEVICE_FUNC attribute from pure virtual methods as it is not supported by HIPCC 4. unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h Disabling the template specializations of InnerMostDimReducer as they run into HIPCC link errors
* | Merged in rmlarsen/eigen2 (pull request PR-543)Gravatar Rasmus Munk Larsen2018-11-13
|\ \ | | | | | | | | | | | | | | | Add parallel memcpy to TensorThreadPoolDevice in Eigen, but limit the number of threads to 4, beyond which we just seem to be wasting CPU cycles as the threads contend for memory bandwidth. Approved-by: Eugene Zhulenev <ezhulenev@google.com>
| * | Remove accidental changes.Gravatar Rasmus Munk Larsen2018-11-12
| | |
| * | Add parallel memcpy to TensorThreadPoolDevice in Eigen, but limit the number ↵Gravatar Rasmus Munk Larsen2018-11-12
| | | | | | | | | | | | of threads to 4, beyond which we just seem to be wasting CPU cycles as the threads contend for memory bandwidth.
* | | [PATCH 1/2] Misc. typosGravatar luz.paz"2018-09-18
|/ / | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | From 68d431b4c14ad60a778ee93c1f59ecc4b931950e Mon Sep 17 00:00:00 2001 Found via `codespell -q 3 -I ../eigen-word-whitelist.txt` where the whitelists consists of: ``` als ans cas dum lastr lowd nd overfl pres preverse substraction te uint whch ``` --- CMakeLists.txt | 26 +++++++++---------- Eigen/src/Core/GenericPacketMath.h | 2 +- Eigen/src/SparseLU/SparseLU.h | 2 +- bench/bench_norm.cpp | 2 +- doc/HiPerformance.dox | 2 +- doc/QuickStartGuide.dox | 2 +- .../Eigen/CXX11/src/Tensor/TensorChipping.h | 6 ++--- .../Eigen/CXX11/src/Tensor/TensorDeviceGpu.h | 2 +- .../src/Tensor/TensorForwardDeclarations.h | 4 +-- .../src/Tensor/TensorGpuHipCudaDefines.h | 2 +- .../Eigen/CXX11/src/Tensor/TensorReduction.h | 2 +- .../CXX11/src/Tensor/TensorReductionGpu.h | 2 +- .../test/cxx11_tensor_concatenation.cpp | 2 +- unsupported/test/cxx11_tensor_executor.cpp | 2 +- 14 files changed, 29 insertions(+), 29 deletions(-)
| * Fix tensor contraction for AVX512 machinesGravatar Mark D Ryan2018-07-31
|/ | | | | | | | | This patch modifies the TensorContraction class to ensure that the kc_ field is always a multiple of the packet_size, if the packet_size is > 8. Without this change spatial convolutions in Tensorflow do not work properly as the code that re-arranges the input matrices can assert if kc_ is not a multiple of the packet_size. This leads to a unit test failure, //tensorflow/python/kernel_tests:conv_ops_test, on AVX512 builds of tensorflow.
* A few small fixes to a) prevent throwing in ctors and dtors of the threading ↵Gravatar Rasmus Munk Larsen2018-11-09
| | | | code, and b) supporting matrix exponential on platforms with 113 bits of mantissa for long doubles.
* Merged in ezhulenev/eigen-02 (pull request PR-534)Gravatar Rasmus Munk Larsen2018-10-25
|\ | | | | | | Fix cxx11_tensor_{block_access, reduction} tests
| * Fix cxx11_tensor_{block_access, reduction} testsGravatar Eugene Zhulenev2018-10-25
| |
* | Fix most Doxygen warnings. Also add links to stable documentation from ↵Gravatar Christoph Hertzberg2018-10-19
| | | | | | | | | | | | | | unsupported modules (by using the corresponding Doxytags file). Manually grafted from d107a371c61b764c73fd1570b1f3ed1c6400dd7e
* | bug #1606: Explicitly set the standard before ↵Gravatar Christoph Hertzberg2018-10-19
| | | | | | | | | | | | | | find_package(StandardMathLibrary). Also replace EIGEN_COMPILER_SUPPORT_CXX11 in favor of EIGEN_COMPILER_SUPPORT_CPP11. Grafted manually from a4afa90d161faab385a77f0e2764fb13ff3b9484
generated by cgit v1.2.3 (git 2.39.1) at 2024-07-05 03:09:57 +0000