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756 Commits

Author SHA1 Message Date
Benoit Steiner
573b377110 Added support for vectorized type casting of tensors 2015-02-27 08:46:04 -08:00
Benoit Steiner
f074bb4b5f Fixed another compilation problem with TensorIntDiv.h 2015-02-26 11:14:23 -08:00
Benoit Steiner
57154fdb32 Can now use the tensor 'reverse' operation as a lvalue 2015-02-26 11:13:42 -08:00
Benoit Steiner
f41b1f1666 Added support for fast reciprocal square root computation. 2015-02-26 09:42:41 -08:00
Benoit Steiner
2fffe69b1b Added missing copy constructor 2015-02-26 09:27:53 -08:00
Benoit Steiner
bffb6bdf45 Made TensorIntDiv.h compile with MSVC 2015-02-25 23:54:43 -08:00
Benoit Steiner
27f3fb2bcc Fixed another clang warning 2015-02-25 22:54:20 -08:00
Benoit Steiner
f8fbb3f9a6 Fixed several compilation warnings reported by clang 2015-02-25 22:22:37 -08:00
Benoit Steiner
8e817b65d0 Silenced a few more compilation warnings generated by nvcc 2015-02-25 17:46:20 -08:00
Benoit Steiner
1cfd51908c Added support for RowMajor layout to the tensor patch extraction cofde. 2015-02-25 13:29:12 -08:00
Benoit Steiner
8afce86e64 Added support for RowMajor layout to the image patch extraction code 
Speeded up the unsupported_cxx11_tensor_image_patch test and reduced its memory footprint
 2015-02-25 09:48:54 -08:00
Benoit Steiner
110fb90250 Improved the documentations 2015-02-19 11:59:04 -08:00
Abhijit Kundu
ef09ce4552 Fix for TensorIO for Fixed sized Tensors. 
The following code snippet was failing to compile:

TensorFixedSize<double, Sizes<4, 3> > t_4x3;
cout << 4x3;
 2015-02-28 21:30:31 -05:00
Abhijit Kundu
3a4b6827b4 Merged eigen/eigen into default 2015-02-28 20:15:28 -05:00
Abhijit Kundu
4084dce038 Added CMake support for Tensor module. CMake now installs CXX11 Tensor module like the rest of the unsupported modules 2015-02-26 16:50:09 -05:00
Benoit Steiner
f77054f43c Silenced compilation warning 2015-02-17 10:02:04 -08:00
Benoit Steiner
1d3b64d32b Added support for tensor concatenation as lvalue 2015-02-17 09:57:41 -08:00
Benoit Steiner
00f048d44f Added support for tensor concatenation as lvalue 2015-02-17 09:54:40 -08:00
Benoit Steiner
6620aaa4b3 Silenced a few compilation warnings generated by nvcc 2015-02-10 14:34:42 -08:00
Benoit Steiner
f669f5656a Marked a few functions as EIGEN_DEVICE_FUNC to enable the use of tensors in cuda kernels. 2015-02-10 14:29:47 -08:00
Benoit Steiner
fefec723aa Fixed compilation error triggered when trying to vectorize a non vectorizable cuda kernel. 2015-02-10 13:16:22 -08:00
Benoit Steiner
780b2422e2 Silenced the last batch of compilation warnings triggered by gcc 4.8 2015-02-10 12:43:55 -08:00
Benoit Steiner
c21e45fbc5 Fixed a few more compilation warnings 2015-02-10 12:36:26 -08:00
Benoit Steiner
057cfd2f02 Silenced more compilation warnings 2015-02-10 12:25:02 -08:00
Benoit Steiner
114e863f08 Silcenced a few compilation warnings 2015-02-10 12:20:24 -08:00
Benoit Steiner
410895a7e4 Silenced several compilation warnings 2015-02-10 12:13:19 -08:00
Benoit Steiner
91fe3a3004 Removed a debug printf statement. 2015-02-10 10:29:28 -08:00
Benoit Steiner
3ba6647398 Fixed the cxx11_meta test 2015-02-06 06:00:59 -08:00
Benoit Steiner
c739102ef9 Pulled the latest changes from the trunk 2015-02-06 05:25:03 -08:00
Benoit Steiner
dcb2a8b184 Added the EIGEN_HAS_CONSTEXPR define 
Gate the tensor index list code based on the value of EIGEN_HAS_CONSTEXPR
 2015-02-06 02:51:59 -08:00
Benoit Steiner
f64045a060 Silenced a few more compilation warnings 2015-01-30 19:52:01 -08:00
Benoit Steiner
590f4b0aa3 Silenced some compilation warnings 2015-01-30 19:46:30 -08:00
Benoit Steiner
e896c0ade7 Marked the contraction operation as read only, since its result can't be assigned. 2015-01-29 10:29:47 -08:00
Benoit Steiner
5a6ea4edf6 Added more tests to cover tensor reductions 2015-01-28 10:02:47 -08:00
Benoit Steiner
9dfdbd7e56 mproved the performance of tensor reductions that preserve the inner most dimension(s). 2015-01-27 14:15:31 -08:00
Benoit Steiner
14f537c296 gcc doesn't consider that 
template<typename OtherDerived> TensorStridingOp& operator = (const OtherDerived& other)
provides a valid assignment operator for the striding operation, and therefore refuses to compile code like:
result.stride(foo) = source.stride(bar);

Added the explicit
   TensorStridingOp& operator = (const TensorStridingOp& other)

as a workaround to get the code to compile, and did the same in all the operations that can be used as lvalues.
 2015-01-16 09:09:23 -08:00
Benoit Steiner
641e824c56 Added cube() operation 2015-01-15 11:11:48 -08:00
Benoit Steiner
54e3633b43 Updated the list of include files 2015-01-14 15:43:38 -08:00
Benoit Steiner
f697df7237 Improved support for RowMajor tensors 
Misc fixes and API cleanups.
 2015-01-14 15:38:48 -08:00
Benoit Steiner
6559d09c60 Ensured that each thread has it's own copy of the TensorEvaluator: this avoid race conditions when the evaluator calls a non thread safe functor, eg when generating random numbers. 2015-01-14 15:34:50 -08:00
Benoit Steiner
8a382aa119 Improved the resizing of tensors 2015-01-14 15:33:11 -08:00
Benoit Steiner
703c526355 Misc improvements 2015-01-14 15:31:52 -08:00
Benoit Steiner
4cdf3fe427 Misc fixes 2015-01-14 15:30:47 -08:00
Benoit Steiner
0feff6e987 Expanded the functionality of index lists 2015-01-14 15:29:48 -08:00
Benoit Steiner
1ac8600126 Fixed the return type of coefficient wise operations. For example, the abs function returns a floating point value when called on a complex input. 2015-01-14 12:47:46 -08:00
Benoit Steiner
378bdfb7f0 Added missing apis to the TensorMap class 2015-01-14 12:45:20 -08:00
Benoit Steiner
0526dc1bb4 Added missing apis to the tensor class 2015-01-14 12:44:08 -08:00
Benoit Steiner
1a36590e84 Fixed the printing of RowMajor tensors 2015-01-14 12:43:20 -08:00
Benoit Steiner
7e0b6c56b4 Added ability to initialize a tensor using an initializer list 2015-01-14 12:41:30 -08:00
Benoit Steiner
b12dd1ae3c Misc improvements for fixed size tensors 2015-01-14 12:39:34 -08:00
Benoit Steiner
71676eaddd Added support for RowMajor inputs to the contraction code. 2015-01-14 12:36:57 -08:00
Benoit Steiner
0a0ab6dd15 Increased the functionality of the tensor devices 2015-01-14 11:45:17 -08:00
Benoit Steiner
5692723c58 Improved the performance of the contraction code on CUDA 2015-01-14 11:42:52 -08:00
Benoit Steiner
8f4b8d204b Improved the performance of tensor reductions 
Added the ability to generate random numbers following a normal distribution
Created a test to validate the ability to generate random numbers.
 2015-01-14 10:19:33 -08:00
Benoit Steiner
4928ea1212 Added ability to reverse the order of the coefficients in a tensor 2015-01-14 10:15:58 -08:00
Benoit Steiner
b00fe1590d Added ability to swap the layout of a tensor 2015-01-14 10:14:46 -08:00
Benoit Steiner
c94174b4fe Improved tensor references 2015-01-14 10:13:08 -08:00
Benoit Steiner
91dd53e54d Created some documentation 2015-01-13 16:07:51 -08:00
Benoit Steiner
b33cf92878 Fixed the evaluation of expressions involving tensors of 2 or 3 elements on CUDA devices. 2014-11-18 14:32:41 -08:00
Benoit Steiner
1d3c8306f8 Fixed compilation errors with clang. 
H: Enter commit message.  Lines beginning with 'HG:' are removed.
 2014-11-13 19:13:17 -08:00
Benoit Steiner
ec785b0180 Added support for extraction of patches from images 2014-11-13 09:28:54 -08:00
Benoit Steiner
eeabf7975e Optimized broadcasting 2014-11-12 22:35:44 -08:00
Benoit Steiner
c2d1074932 Added support for static list of indices 2014-11-12 22:25:38 -08:00
Benoit Steiner
cb37f818ca Fixed a compilation error triggered by some operations on fixed sized tensors 2014-11-05 23:25:11 -08:00
Benoit Steiner
9ea09179b5 Fixed the return type of the coefficient-wise tensor operations. 2014-11-04 10:24:42 -08:00
Benoit Steiner
b1789c112b Improved handling of 1d tensors 2014-11-03 08:51:33 -08:00
Benoit Steiner
7f2c6ed2fa Fixed a compilation warning 2014-10-31 11:45:21 -07:00
Benoit Steiner
85c3389b28 Fixed a test 2014-10-31 00:04:13 -07:00
Benoit Steiner
67fcf47ecb Merged from trunk 2014-10-30 21:59:22 -07:00
Benoit Steiner
fcecafde3a Fixed a compilation error with clang 2014-10-30 21:58:14 -07:00
Benoit Steiner
d62bfe73a9 Use the proper index type in the padding code 2014-10-30 18:15:05 -07:00
Benoit Steiner
bc99c5f7db fixed some potential alignment issues. 2014-10-30 18:09:53 -07:00
Benoit Steiner
5e62427e22 Use the proper index type 2014-10-30 17:49:39 -07:00
Benoit Steiner
debc97821c Added support for tensor references 2014-10-28 23:10:13 -07:00
Benoit Steiner
f786897e4b Added access to the unerlying raw data of a tnsor slice/chip whenever possible 2014-10-17 15:33:27 -07:00
Benoit Steiner
7acd38d19e Created some benchmarks for the tensor code 2014-10-17 09:49:03 -07:00
Benoit Steiner
65af852b54 Silenced one last warning 2014-10-16 15:02:30 -07:00
Benoit Steiner
ae697b471c Silenced a few compilation warnings 
Generalized a TensorMap constructor
 2014-10-16 14:52:50 -07:00
Benoit Steiner
94e47798f4 Fixed the return types of unary and binary expressions to properly handle the case where it is different from the input type (e.g. abs(complex<float>)) 2014-10-16 10:41:07 -07:00
Benoit Steiner
d853adffdb Avoid calling get_future() more than once on a given promise. 2014-10-16 10:10:04 -07:00
Benoit Steiner
bfdd9f3ac9 Made the blocking computation aware of the l3 cache 
Also optimized the blocking parameters to take into account the number of threads used for a computation
 2014-10-15 15:32:59 -07:00
Benoit Steiner
dba55041ab Added support for promises 
Started to improve multithreaded contractions
 2014-10-15 11:20:36 -07:00
Benoit Steiner
99d75235a9 Misc improvements and cleanups 2014-10-13 17:02:09 -07:00
Benoit Steiner
4c70b0a762 Added support for patch extraction 2014-10-13 10:04:04 -07:00
Benoit Steiner
0219f8aed4 Added ability to print a tensor using an iostream. 2014-10-10 16:17:26 -07:00
Benoit Steiner
2ed1838aeb Added support for tensor chips 2014-10-10 16:11:27 -07:00
Benoit Steiner
4b36c3591f Fixed the tensor shuffling test 2014-10-10 15:43:21 -07:00
Benoit Steiner
a991f94c0e Fixed the thread pool test 2014-10-10 15:20:37 -07:00
Benoit Steiner
498b7eed25 Rewrote the TensorBase::random method to support the generation of random number on gpu. 2014-10-09 15:39:13 -07:00
Benoit Steiner
767424af18 Improved the functors defined for standard reductions 
Added a functor to encapsulate the generation of random numbers on cpu and gpu.
 2014-10-09 15:36:23 -07:00
Benoit Steiner
44beee9d68 Removed dead code 2014-10-08 14:14:20 -07:00
Benoit Steiner
0a07ac574e Added support for the *= and /* operators to TensorBase 2014-10-08 13:32:41 -07:00
Benoit Steiner
6c047d398d Fixed a comment 2014-10-08 13:29:36 -07:00
Benoit Steiner
af2e5995e2 Improved support for CUDA devices. 
Improved contractions on GPU
 2014-10-03 19:18:07 -07:00
Benoit Steiner
1269392822 Created the IndexPair type to store pair of tensor indices. CUDA doesn't support std::pair so we can't use them when targeting GPUs. 
Improved the performance on tensor contractions
 2014-10-03 10:16:59 -07:00
Benoit Steiner
8b2afe33a1 Fixes for the forced evaluation of tensor expressions 
More tests
 2014-10-02 10:39:36 -07:00
Benoit Steiner
7caaf6453b Added support for tensor reductions and concatenations 2014-10-01 20:38:22 -07:00
Benoit Steiner
1c236f4c9a Added tests for tensors of const values and tensors of stringswwq:: 2014-10-01 20:21:42 -07:00
Benoit Steiner
efdff15749 Fixed a typo in the contraction code 2014-09-06 13:28:24 -07:00
Benoit Steiner
74db22455a Misc fixes. 2014-09-05 07:47:43 -07:00
Benoit Steiner
d43f737b4a Added support for evaluation of tensor shuffling operations as lvalues 2014-09-04 20:02:28 -07:00
Benoit Steiner
f50548e86a Added missing tensor copy constructors. As a result it is now possible to declare and initialize a tensor on the same line, as in: 
Tensor<bla> T = A + B;  or
  Tensor<bla> T(A.reshape(new_shape));
 2014-09-04 19:50:27 -07:00
Benoit Steiner
b24fe22b1a Improved the performance of the tensor convolution code by a factor of about 4. 2014-09-03 11:38:13 -07:00
Benoit Steiner
2959045f2f Optimized the tensor padding code. 2014-08-26 09:47:18 -07:00
Benoit Steiner
36fffe48f7 Misc api improvements and cleanups 2014-08-23 14:35:41 -07:00
Benoit Steiner
fb5c1e9097 Optimized and cleaned up the tensor morphing code 2014-08-23 13:18:30 -07:00
Benoit Steiner
3d298da269 Added support for broadcasting 2014-08-20 17:00:50 -07:00
Benoit Steiner
9ac3c821ea Improved the speed of convolutions when running on cuda devices 2014-08-19 16:57:10 -07:00
Benoit Steiner
33c702c79f Added support for fast integer divisions by a constant 
Sped up tensor slicing by a factor of 3 by using these fast integer divisions.
 2014-08-14 22:13:21 -07:00
Benoit Steiner
eeb43f9e2b Added support for padding, stridding, and shuffling 2014-08-14 00:22:47 -07:00
Benoit Steiner
16047c8d4a Pulled in the latest changes from the Eigen trunk 2014-08-13 22:25:29 -07:00
Benoit Steiner
916ef48846 Added ability to get the nth element from an abstract array type. 2014-08-13 08:44:47 -07:00
Benoit Steiner
f1d8c13dbc Fixed misc typos. 2014-08-13 08:40:26 -07:00
Benoit Steiner
9faad2932f Added missing apis. 2014-08-13 08:36:33 -07:00
Benoit Steiner
f8fad09301 Updated the convolution and contraction evaluators to follow the new EvalSubExprsIfNeeded apu. 2014-08-13 08:33:18 -07:00
Benoit Steiner
72e7529708 Fixed a typo. 2014-08-13 08:29:40 -07:00
Benoit Steiner
1aa2bf8274 Support for in place evaluation of expressions containing slicing and reshaping operations 2014-08-13 08:27:58 -07:00
Benoit Steiner
b1892ab14d Added suppor for in place evaluation to simple tensor expressions. 
Use mempy to speedup tensor copies whenever possible.
 2014-08-13 08:26:44 -07:00
Benoit Steiner
439feca139 Reworked the TensorExecutor code to support in place evaluation. 2014-08-13 08:22:05 -07:00
Benoit Steiner
647622281e The tensor assignment code now resizes the destination tensor as needed. 2014-07-31 17:39:04 -07:00
Benoit Steiner
2116e261fb Made sure that the data stored in fixed sized tensor is aligned. 2014-07-25 09:47:59 -07:00
Benoit Steiner
f7bb7ee3f3 Fixed the assignment operator of the Tensor and TensorMap classes. 2014-07-22 10:31:21 -07:00
Benoit Steiner
40bb98e76a Added primitives to compare tensor dimensions 2014-07-10 11:29:51 -07:00
Benoit Steiner
ffd3654f67 Vectorized the evaluation of expressions involving tensor slices. 2014-07-10 11:09:46 -07:00
Benoit Steiner
25b2f6624d Improved the speed of slicing operations. 2014-07-09 12:48:34 -07:00
Benoit Steiner
ea0906dfd8 Improved evaluation of tensor expressions when used as rvalues 2014-07-08 16:43:28 -07:00
Benoit Steiner
cc1bacea5b Improved the efficiency of the tensor evaluation code on thread pools and gpus. 2014-07-08 16:39:28 -07:00
Benoit Steiner
c285fda7f4 Extended the functionality of the TensorDeviceType classes 2014-07-08 16:30:48 -07:00
Benoit Steiner
7d53633e05 Added support for tensor slicing 2014-07-07 14:10:36 -07:00
Benoit Steiner
bc072c5cba Added support for tensor slicing 2014-07-07 14:08:45 -07:00
Benoit Steiner
47981c5925 Added support for tensor slicing 2014-07-07 14:07:57 -07:00
Benoit Steiner
f80c8e17eb Silenced a compilation warning 2014-06-13 10:12:12 -07:00
Benoit Steiner
38ab7e6ed0 Reworked the expression evaluation mechanism in order to make it possible to 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
 2014-06-13 09:56:51 -07:00
Benoit Steiner
aa664eabb9 Fixed a few compilation errors. 2014-06-10 10:31:29 -07:00
Benoit Steiner
4304c73542 Pulled latest updates from the Eigen main trunk. 2014-06-10 10:23:32 -07:00
Benoit Steiner
925fb6b937 TensorEval are now typed on the device: this will make it possible to use partial template specialization to optimize the strategy of each evaluator for each device type. 
Started work on partial evaluations.
 2014-06-10 09:14:44 -07:00
Benoit Steiner
a77458a8ff Fixes compilation errors triggered when compiling the tensor contraction code with cxx11 enabled. 2014-06-09 10:06:57 -07:00
Benoit Steiner
a669052f12 Improved support for rvalues in tensor expressions. 2014-06-09 09:45:30 -07:00
Benoit Steiner
36a2b2e9dc Prevent the generation of unlaunchable cuda kernels when compiling in debug mode. 2014-06-09 09:43:51 -07:00
Benoit Steiner
2859a31ac8 Fixed compilation error 2014-06-09 09:42:34 -07:00
Benoit Steiner
a961d72e65 Added support for convolution and reshaping of tensors. 2014-06-06 16:25:16 -07:00
Christian Seiler
96cb58fa3b unsupported/TensorSymmetry: factor out completely from Tensor module 
Remove the symCoeff() method of the the Tensor module and move the
functionality into a new operator() of the symmetry classes. This makes
the Tensor module now completely self-contained without symmetry
support (even though previously it was only a forward declaration and a
otherwise harmless trivial templated method) and also removes the
inconsistency with the rest of eigen w.r.t. the method's naming scheme.
 2014-06-04 20:44:22 +02:00
Christian Seiler
ea99433523 unsupported/TensorSymmetry: make symgroup construction autodetect number of indices 
When constructing a symmetry group, make the code automatically detect
the number of indices required from the indices of the group's
generators. Also, allow the symmetry group to be applied to lists of
indices that are larger than the number of indices of the symmetry
group.

Before:
SGroup<4, Symmetry<0, 1>, Symmetry<2,3>> group;
group.apply<SomeOp, int>(std::array<int,4>{{0, 1, 2, 3}}, 0);

After:
SGroup<Symmetry<0, 1>, Symmetry<2,3>> group;
group.apply<SomeOp, int>(std::array<int,4>{{0, 1, 2, 3}}, 0);
group.apply<SomeOp, int>(std::array<int,5>{{0, 1, 2, 3, 4}}, 0);

This should make the symmetry group easier to use - especially if one
wants to reuse the same symmetry group for different tensors of maybe
different rank.

static/runtime asserts remain for the case where the length of the
index list to which a symmetry group is to be applied is too small.
 2014-06-04 20:27:42 +02:00
Christian Seiler
cee62018fc unsupported/CXX11/Core: allow gen_numeric_list to have a starting point 
Add a template parameter to gen_numeric_list that acts as a starting
point for the list, i.e. gen_numeric_list<int, 5, 4> will generate a
numeric_list<int, 4, 5, 6, 7, 8>.
 2014-06-04 19:54:22 +02:00
Christian Seiler
58cfac9a12 unsupported/ C++11 workarounds: don't use hack for libc++ if not required 
libc++ from 3.4 onwards supports constexpr std::get, but only if
compiled with -std=c++1y. Change the detection so that libc++'s
internals are only used if either -std=c++1y is not specified or the
library is too old, making the whole hack a bit more future-proof.
 2014-06-04 18:47:42 +02:00
Christian Seiler
45515779d3 Fix compilation for CXX11/Tensor module if unsupported is not in include path 2014-06-04 18:31:02 +02:00
Benoit Steiner
6fa6cdd2b9 Added support for tensor contractions 
Updated expression evaluation mechanism to also compute the size of the tensor result
Misc fixes and improvements.
 2014-06-04 09:21:48 -07:00
Benoit Steiner
736267cf6b Added support for additional tensor operations: 
* comparison (<, <=, ==, !=, ...)
  * selection
  * nullary ops such as random or constant generation
  * misc unary ops such as log(), exp(), or a user defined unaryExpr()
Cleaned up the code a little.
 2014-05-22 16:22:35 -07:00
Benoit Steiner
7402fea0a8 Vectorized the evaluation of tensor expression (using SSE, AVX, NEON, ...) 
Added the ability to parallelize the evaluation of a tensor expression over multiple cpu cores.
Added the ability to offload the evaluation of a tensor expression to a GPU.
 2014-05-16 15:08:05 -07:00
Benoit Steiner
0320f7e3a7 Added support for fixed sized tensors. 
Improved support for tensor expressions.
 2014-05-06 11:18:37 -07:00
Benoit Steiner
c0f2cb016e Extended support for Tensors: 
* Added ability to map a region of the memory to a tensor
  * Added basic support for unary and binary coefficient wise expressions, such as addition or square root
  * Provided an emulation layer to make it possible to compile the code with compilers (such as nvcc) that don't support cxx11.
 2014-04-28 10:32:27 -07:00
Benoit Steiner
1afd50e0f3 Fixed a typo in CXX11Meta.h 2014-04-14 14:26:30 -07:00
Christian Seiler
f6bac196d5 C++11/Tensor: Fix copyright headers 2013-11-16 00:03:23 +01:00
Christian Seiler
03a956925a CXX11/TensorSymmetry: add symmetry support for Tensor class 
Add a symCoeff() method to the Tensor class template that allows the
user of the class to set multiple elements of a tensor at once if they
are connected by a symmetry operation with respect to the tensor's
indices (symmetry/antisymmetry/hermiticity/antihermiticity under
echange of two indices and combination thereof for different pairs of
indices).

A compile-time resolution of the required symmetry groups via meta
templates is also implemented. For small enough groups this is used to
unroll the loop that goes through all the elements of the Tensor that
are connected by this group. For larger groups or groups where the
symmetries are defined at run time, a standard run-time implementation
of the same algorithm is provided.

For example, the following code completely initializes all elements of
the totally antisymmetric tensor in three dimensions ('epsilon
tensor'):

SGroup<3, AntiSymmetry<0,1>, AntiSymmetry<1,2>> sym;
Eigen::Tensor<double, 3> epsilon(3,3,3);
epsilon.setZero();
epsilon.symCoeff(sym, 0, 1, 2) =  1;
 2013-11-14 23:35:11 +01:00
Christian Seiler
f97b3cd024 CXX11/Tensor: add simple initial tensor implementation 
This commit adds an initial implementation of a class template Tensor
that allows for the storage of objects with more than two indices.
Currently, only storing data and setting the object to zero for POD
data types are implemented.
 2013-11-14 22:52:37 +01:00
Christian Seiler
5e28c41549 C++11: add template metaprogramming helpers 
Create a new directory CXX11 under unsupported/Eigen that contains code
that requires C++11. In that directory, add a few generic templates
useful for any module relying on C++11. These templates may be included
with #include <[unsupported/]Eigen/CXX11/Core>. At the moment, this
will only provide templates in the Eigen::internal namespace.
 2013-11-14 22:27:06 +01:00