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* STYLE: Convert CMake-language commands to lower caseGravatar Hans Johnson2019-10-31
| | | | | Ancient CMake versions required upper-case commands. Later command names became case-insensitive. Now the preferred style is lower-case.
* STYLE: Remove CMake-language block-end command argumentsGravatar Hans Johnson2019-10-31
| | | | | | Ancient versions of CMake required else(), endif(), and similar block termination commands to have arguments matching the command starting the block. This is no longer the preferred style.
* bug #1747: one more fix for MSVC regarding the Bessel implementation.Gravatar Gael Guennebaud2019-11-15
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* bug #1281: fix AutoDiffScalar's make_coherent for nested expression of ↵Gravatar Gael Guennebaud2019-11-14
| | | | constant ADs.
* Remove legacy block evaluation supportGravatar Eugene Zhulenev2019-11-12
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* Fix a race in async tensor evaluation: Don't run on_done() until after ↵Gravatar Rasmus Munk Larsen2019-11-11
| | | | device.deallocate() / evaluator.cleanup() complete, since the device might be destroyed after on_done() runs.
* Break loop dependence in TensorGenerator block accessGravatar Eugene Zhulenev2019-11-11
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* Fix data race in css11_tensor_notification test.Gravatar Rasmus Munk Larsen2019-11-08
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* Add EIGEN_HAS_INTRINSIC_INT128 macroGravatar Rasmus Munk Larsen2019-11-06
| | | | Add a new EIGEN_HAS_INTRINSIC_INT128 macro, and use this instead of __SIZEOF_INT128__. This fixes related issues with TensorIntDiv.h when building with Clang for Windows, where support for 128-bit integer arithmetic is advertised but broken in practice.
* Rollback or PR-746 and partial rollback of ↵Gravatar Rasmus Munk Larsen2019-11-05
| | | | | | | | https://bitbucket.org/eigen/eigen/commits/668ab3fc474e54c7919eda4fbaf11f3a99246494 . std::array is still not supported in CUDA device code on Windows.
* Merged in ezhulenev/eigen-01 (pull request PR-746)Gravatar Rasmus Larsen2019-11-04
|\ | | | | | | Remove internal::smart_copy and replace with std::copy
* | Cleanup includes in Tensor module after switch to C++11 and aboveGravatar Eugene Zhulenev2019-10-29
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| * Remove internal::smart_copy and replace with std::copyGravatar Eugene Zhulenev2019-10-29
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* Fix CXX11Meta compilation with MSVCGravatar Eugene Zhulenev2019-10-28
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* Prevent potential ODR in TensorExecutorGravatar Eugene Zhulenev2019-10-28
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* This PR fixes:Gravatar Mehdi Goli2019-10-23
| | | | | * The specialization of array class in the different namespace for GCC<=6.4 * The implicit call to `std::array` constructor using the initializer list for GCC <=6.1
* Merged in deven-amd/eigen-hip-fix-191018 (pull request PR-738)Gravatar Rasmus Larsen2019-10-22
|\ | | | | | | Fix for the HIP build+test errors.
* | Add block evaluation V2 to TensorAsyncExecutor.Gravatar Rasmus Munk Larsen2019-10-22
| | | | | | | | Add async evaluation to a number of ops.
| * Fix for the HIP build+test errors.Gravatar Deven Desai2019-10-22
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | The errors were introduced by this commit : After the above mentioned commit, some of the tests started failing with the following error ``` Built target cxx11_tensor_reduction Building HIPCC object unsupported/test/CMakeFiles/cxx11_tensor_reduction_gpu_5.dir/cxx11_tensor_reduction_gpu_5_generated_cxx11_tensor_reduction_gpu.cu.o In file included from /home/rocm-user/eigen/unsupported/test/cxx11_tensor_reduction_gpu.cu:16: In file included from /home/rocm-user/eigen/unsupported/Eigen/CXX11/Tensor:117: /home/rocm-user/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorBlockV2.h:155:5: error: the field type is not amp-compatible DestinationBufferKind m_kind; ^ /home/rocm-user/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorBlockV2.h:211:3: error: the field type is not amp-compatible DestinationBuffer m_destination; ^ ``` For some reason HIPCC does not like device code to contain enum types which do not have the base-type explicitly declared. The fix is trivial, explicitly state "int" as the basetype
* | Drop support for c++03 in Eigen tensor. Get rid of some code used to emulate ↵Gravatar Rasmus Munk Larsen2019-10-18
|/ | | | c++11 functionality with older compilers.
* Propagate block evaluation preference through rvalue tensor expressionsGravatar Eugene Zhulenev2019-10-17
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* Cleanup Tensor block destination and materialized block storage allocationGravatar Eugene Zhulenev2019-10-16
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* TensorBroadcasting support for random/uniform blocksGravatar Eugene Zhulenev2019-10-16
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* Block evaluation for TensorGenerator/TensorReverse/TensorShufflingGravatar Eugene Zhulenev2019-10-14
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* bug #1747: fix compilation with MSVCGravatar Gael Guennebaud2019-10-14
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* Block evaluation for TensorGenerator + TensorReverse + fixed bug in tensor ↵Gravatar Eugene Zhulenev2019-10-10
| | | | reverse op
* Block evaluation for TensorChipping + fixed bugs in TensorPadding and ↵Gravatar Eugene Zhulenev2019-10-09
| | | | TensorSlicing
* Implement c++03 compatible fix for changeset ↵Gravatar Gael Guennebaud2019-10-09
| | | | 7a43af1a335da2c0489b4119a33ee1cbff0c15d6
* Fix compilation of FFTW unit testGravatar Gael Guennebaud2019-10-08
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* Add block evaluation to TensorEvalTo and fix few small bugsGravatar Eugene Zhulenev2019-10-07
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* Fixing incorrect size in Tensor documentation.Gravatar Brian Zhao2019-10-04
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* Use "pdiv" rather than operator/ to support packet types.Gravatar Rasmus Munk Larsen2019-10-04
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* Fix compilation warnings and errors with clang in TensorBlockV2 code and testsGravatar Eugene Zhulenev2019-10-04
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* Add block evaluation to TensorReshaping/TensorCasting/TensorPadding/TensorSelectGravatar Eugene Zhulenev2019-10-02
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* Add beta to TensorContractionKernel and make memset optionalGravatar Eugene Zhulenev2019-10-02
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* Move implementation of vectorized error function erf() to ↵Gravatar Rasmus Munk Larsen2019-09-27
| | | | SpecialFunctionsImpl.h.
* Fix cxx11_tensor_block_io testGravatar Eugene Zhulenev2019-09-25
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* Fix compilation warnings and errors with clang in TensorBlockV2Gravatar Eugene Zhulenev2019-09-25
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* Fix for the HIP build+test errors.Gravatar Deven Desai2019-09-25
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | The errors were introduced by this commit : https://bitbucket.org/eigen/eigen/commits/d38e6fbc27abe0c354ffe90928f6741c378e76e1 After the above mentioned commit, some of the tests started failing with the following error ``` Building HIPCC object unsupported/test/CMakeFiles/cxx11_tensor_reduction_gpu_5.dir/cxx11_tensor_reduction_gpu_5_generated_cxx11_tensor_reduction_gpu.cu.o In file included from /home/rocm-user/eigen/unsupported/test/cxx11_tensor_reduction_gpu.cu:16: In file included from /home/rocm-user/eigen/unsupported/Eigen/CXX11/Tensor:29: In file included from /home/rocm-user/eigen/unsupported/Eigen/CXX11/../SpecialFunctions:70: /home/rocm-user/eigen/unsupported/Eigen/CXX11/../src/SpecialFunctions/SpecialFunctionsHalf.h:28:22: error: call to 'erf' is ambiguous return Eigen::half(Eigen::numext::erf(static_cast<float>(a))); ^~~~~~~~~~~~~~~~~~ /home/rocm-user/eigen/unsupported/test/../../Eigen/src/Core/MathFunctions.h:1600:7: note: candidate function [with T = float] float erf(const float &x) { return ::erff(x); } ^ /home/rocm-user/eigen/unsupported/Eigen/CXX11/../src/SpecialFunctions/SpecialFunctionsImpl.h:1897:5: note: candidate function [with Scalar = float] erf(const Scalar& x) { ^ In file included from /home/rocm-user/eigen/unsupported/test/cxx11_tensor_reduction_gpu.cu:16: In file included from /home/rocm-user/eigen/unsupported/Eigen/CXX11/Tensor:29: In file included from /home/rocm-user/eigen/unsupported/Eigen/CXX11/../SpecialFunctions:75: /home/rocm-user/eigen/unsupported/Eigen/CXX11/../src/SpecialFunctions/arch/GPU/GpuSpecialFunctions.h:87:23: error: call to 'erf' is ambiguous return make_double2(erf(a.x), erf(a.y)); ^~~ /home/rocm-user/eigen/unsupported/test/../../Eigen/src/Core/MathFunctions.h:1603:8: note: candidate function [with T = double] double erf(const double &x) { return ::erf(x); } ^ /home/rocm-user/eigen/unsupported/Eigen/CXX11/../src/SpecialFunctions/SpecialFunctionsImpl.h:1897:5: note: candidate function [with Scalar = double] erf(const Scalar& x) { ^ In file included from /home/rocm-user/eigen/unsupported/test/cxx11_tensor_reduction_gpu.cu:16: In file included from /home/rocm-user/eigen/unsupported/Eigen/CXX11/Tensor:29: In file included from /home/rocm-user/eigen/unsupported/Eigen/CXX11/../SpecialFunctions:75: /home/rocm-user/eigen/unsupported/Eigen/CXX11/../src/SpecialFunctions/arch/GPU/GpuSpecialFunctions.h:87:33: error: call to 'erf' is ambiguous return make_double2(erf(a.x), erf(a.y)); ^~~ /home/rocm-user/eigen/unsupported/test/../../Eigen/src/Core/MathFunctions.h:1603:8: note: candidate function [with T = double] double erf(const double &x) { return ::erf(x); } ^ /home/rocm-user/eigen/unsupported/Eigen/CXX11/../src/SpecialFunctions/SpecialFunctionsImpl.h:1897:5: note: candidate function [with Scalar = double] erf(const Scalar& x) { ^ 3 errors generated. ``` This PR fixes the compile error by removing the "old" implementation for "erf" (assuming that the "new" implementation is what we want going forward. from a GPU point-of-view both implementations are the same). This PR also fixes what seems like a cut-n-paste error in the aforementioned commit
* Fix a bug in a packed block type in TensorContractionThreadPoolGravatar Eugene Zhulenev2019-09-24
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* Merged in rmlarsen/eigen (pull request PR-704)Gravatar Rasmus Larsen2019-09-24
|\ | | | | | | Add generic PacketMath implementation of the Error Function (erf).
| * Add TODO to cleanup FMA cost modelling.Gravatar Rasmus Munk Larsen2019-09-24
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* | Choose TensorBlock StridedLinearCopy type staticallyGravatar Eugene Zhulenev2019-09-24
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* | Add new TensorBlock api implementation + testsGravatar Eugene Zhulenev2019-09-24
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* | Tensor block evaluation V2 support for unary/binary/broadcstingGravatar Eugene Zhulenev2019-09-24
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* | Fix implicit conversion warnings and use pnegate to negate packetsGravatar Christoph Hertzberg2019-09-23
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* | Fix (or mask away) conversion warnings introduced in ↵Gravatar Christoph Hertzberg2019-09-23
| | | | | | | | | | | | 553caeb6a3bb545aef895f8fc9f219be44679017 .
* | Add support for asynchronous evaluation of tensor casting expressions.Gravatar Rasmus Munk Larsen2019-09-19
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| * Add generic PacketMath implementation of the Error Function (erf).Gravatar Rasmus Munk Larsen2019-09-19
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* Merging eigen/eigen.Gravatar Srinivas Vasudevan2019-09-16
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