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* Roll back changes to core. Move include of TensorFunctors.h up to satisfy ↵Gravatar Rasmus Munk Larsen2016-05-17
| | | | dependence in TensorCostModel.h.
* Improvements to parallelFor.Gravatar Rasmus Munk Larsen2016-05-12
| | | | Move some scalar functors from TensorFunctors. to Eigen core.
* Fix missing inclusion of Eigen/CoreGravatar Gael Guennebaud2016-04-27
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* Refactor the unsupported CXX11/Core module to internal headers only.Gravatar Gael Guennebaud2016-04-26
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* Merged in rmlarsen/eigen (pull request PR-177)Gravatar Benoit Steiner2016-04-14
|\ | | | | | | Eigen Tensor cost model part 1.
* | Prepared the migration to the new non blocking thread poolGravatar Benoit Steiner2016-04-14
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| * Eigen cost model part 1. This implements a basic recursive framework to ↵Gravatar Rasmus Munk Larsen2016-04-14
|/ | | | estimate the cost of evaluating tensor expressions.
* Use a single Barrier instead of a collection of Notifications to reduce the ↵Gravatar Benoit Steiner2016-03-22
| | | | thread synchronization overhead
* Made sure to include the <random> header file when compiling with visual studioGravatar Benoit Steiner2016-03-09
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* include <iostream> in the tensor header since we now use it to better report ↵Gravatar Benoit Steiner2016-02-22
| | | | cuda initialization errors
* Created a mechanism to enable contraction mappers to determine the best ↵Gravatar Benoit Steiner2016-01-22
| | | | blocking strategy.
* Moved the contraction mapping code to its own file to make the code more ↵Gravatar Benoit Steiner2016-01-19
| | | | manageable.
* Fixed some compilation error triggered by the tensor code with msvc 2008Gravatar Benoit Steiner2015-12-16
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* Made it possible to refer t oa GPUDevice from code compile with a regular ↵Gravatar Benoit Steiner2015-11-23
| | | | C++ compiler
* Split TensorDeviceType.h in 3 files to make it more manageableGravatar Benoit Steiner2015-11-20
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* Added support for 128bit integers on CUDA devices.Gravatar Benoit Steiner2015-11-19
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* Code cleanupGravatar Benoit Steiner2015-11-06
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* Added missing glue logicGravatar Benoit Steiner2015-10-22
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* Tightened the definition of isOfNormalIndex to take into account integer ↵Gravatar Benoit Steiner2015-10-14
| | | | | | | types in addition to arrays of indices Only compile the custom index code when EIGEN_HAS_SFINAE is defined. For the time beeing, EIGEN_HAS_SFINAE is a synonym for EIGEN_HAS_VARIADIC_TEMPLATES, but this might evolve in the future. Moved some code around.
* added CustomIndex capability only to Tensor and not yet to TensorBase.Gravatar Gabriel Nützi2015-10-09
| | | | | | | | | | | | | | using Sfinae and is_base_of to select correct template which converts to array<Index,NumIndices> user: Gabriel Nützi <gnuetzi@gmx.ch> branch 'default' added unsupported/Eigen/CXX11/src/Tensor/TensorMetaMacros.h added unsupported/test/cxx11_tensor_customIndex.cpp changed unsupported/Eigen/CXX11/Tensor changed unsupported/Eigen/CXX11/src/Tensor/Tensor.h changed unsupported/Eigen/CXX11/src/Tensor/TensorMeta.h changed unsupported/test/CMakeLists.txt
* Added support for argmax/argminGravatar Benoit Steiner2015-08-31
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* Use standard include syntax in Tensor module (<> for include-path and "" for ↵Gravatar Christoph Hertzberg2015-08-18
| | | | relative path)
* Added support for tensor inflation.Gravatar Benoit Steiner2015-07-16
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* Added support for user defined custom tensor op.Gravatar Benoit Steiner2015-06-30
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* Added support for 3D patch extractionGravatar Benoit Steiner2015-06-30
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* Moved some utilities to TensorMeta.h to make it easier to reuse them accross ↵Gravatar Benoit Steiner2015-06-29
| | | | | | several tensor operations. Created the TensorDimensionList class to encode the list of all the dimensions of a tensor of rank n. This could be done using TensorIndexList, however TensorIndexList require cxx11 which isn't yet supported as widely as we'd like.
* Added missing include filesGravatar Benoit Steiner2015-05-28
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* Moved away from std::async and std::future as the underlying mechnism for ↵Gravatar Benoit Steiner2015-05-20
| | | | | | the thread pool device. On several platforms, the functions passed to std::async are not scheduled in the order in which they are given to std::async, which leads to massive performance issues in the contraction code. Instead we now have a custom thread pool that ensures that the functions are picked up by the threads in the pool in the order in which they are enqueued in the pool.
* Added the ability to generate a tensor from a custom user defined ↵Gravatar Benoit Steiner2015-04-22
| | | | | | 'generator'. This simplifies the creation of constant tensors initialized using specific regular patterns. Created a gaussian window generator as a first use case.
* Pulled latest changes from trunkGravatar Benoit Steiner2015-04-14
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| * Fixed the order of 2 #includesGravatar Benoit Steiner2015-04-06
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* | Pulled latest updates from trunkGravatar Benoit Steiner2015-04-01
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| * Cleaned up the TensorDevice code a little bit.Gravatar Benoit Steiner2015-03-25
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* | Added support for vectorized type casting of tensorsGravatar Benoit Steiner2015-02-27
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* Updated the list of include filesGravatar Benoit Steiner2015-01-14
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* Added support for extraction of patches from imagesGravatar Benoit Steiner2014-11-13
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* Added support for static list of indicesGravatar Benoit Steiner2014-11-12
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* Added support for tensor referencesGravatar Benoit Steiner2014-10-28
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* Made the blocking computation aware of the l3 cacheGravatar Benoit Steiner2014-10-15
| | | | Also optimized the blocking parameters to take into account the number of threads used for a computation
* Added support for promisesGravatar Benoit Steiner2014-10-15
| | | | Started to improve multithreaded contractions
* Misc improvements and cleanupsGravatar Benoit Steiner2014-10-13
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* Added support for patch extractionGravatar Benoit Steiner2014-10-13
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* Added ability to print a tensor using an iostream.Gravatar Benoit Steiner2014-10-10
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* Added support for tensor chipsGravatar Benoit Steiner2014-10-10
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* Improved support for CUDA devices.Gravatar Benoit Steiner2014-10-03
| | | | Improved contractions on GPU
* Added support for tensor reductions and concatenationsGravatar Benoit Steiner2014-10-01
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* Added support for broadcastingGravatar Benoit Steiner2014-08-20
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* Added support for fast integer divisions by a constantGravatar Benoit Steiner2014-08-14
| | | | Sped up tensor slicing by a factor of 3 by using these fast integer divisions.
* Added support for padding, stridding, and shufflingGravatar Benoit Steiner2014-08-14
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* Reworked the expression evaluation mechanism in order to make it possible to ↵Gravatar Benoit Steiner2014-06-13
| | | | | | | | efficiently compute convolutions and contractions in the future: * The scheduling of computation is moved out the the assignment code and into a new TensorExecutor class * The assignment itself is now a regular node on the expression tree * The expression evaluators start by recursively evaluating all their subexpressions if needed
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