Commit Graph

7896 Commits

Author SHA1 Message Date
Christoph Hertzberg
dacb469bc9 Enable and fix -Wdouble-conversion warnings 2016-05-05 13:35:45 +02:00
Benoit Steiner
62b710072e Reduced the memory footprint of the cxx11_tensor_image_patch test 2016-05-04 21:08:22 -07:00
Benoit Steiner
dd2b45feed Removed extraneous 'explicit' keywords 2016-05-04 16:57:52 -07:00
Ola Røer Thorsen
be78aea6b3 fix double-promotion/float-conversion in Core/SpecialFunctions.h 2016-05-04 10:52:08 +02:00
Gael Guennebaud
75a94b9662 Improve documentation of BDCSVD 2016-05-04 12:53:14 +02:00
Benoit Steiner
968ec1c2ae Use numext::isfinite instead of std::isfinite 2016-05-03 19:56:40 -07:00
Gael Guennebaud
e2ca478485 bug #1214: consider denormals as zero in D&C SVD. This also workaround infinite binary search when compiling with ICC's unsafe optimizations. 2016-05-03 23:15:29 +02:00
Benoit Steiner
2c5568a757 Added a test to validate the computation of exp and log on 16bit floats 2016-05-03 12:06:07 -07:00
Benoit Steiner
6c3e5b85bc Fixed compilation error with cuda >= 7.5 2016-05-03 09:38:42 -07:00
Benoit Steiner
aad9a04da4 Deleted superfluous explicit keyword. 2016-05-03 09:37:19 -07:00
Benoit Steiner
da50419df8 Made a cast explicit 2016-05-02 19:50:22 -07:00
Benoit Steiner
73ef5371e4 Pulled latest updates from trunk 2016-05-01 14:48:57 -07:00
Benoit Steiner
8a9228ed9b Fixed compilation error 2016-05-01 14:48:01 -07:00
Gael Guennebaud
b1bd53aa6b Fix performance regression: with AVX, unaligned stores were emitted instead of aligned ones for fixed size assignement. 2016-05-01 23:25:06 +02:00
Benoit Steiner
d6c9596fd8 Added missing accessors to fixed sized tensors 2016-04-29 18:51:33 -07:00
Benoit Steiner
17fe7f354e Deleted trailing commas 2016-04-29 18:39:01 -07:00
Benoit Steiner
e5f71aa6b2 Deleted useless trailing commas 2016-04-29 18:36:10 -07:00
Benoit Steiner
44f592dceb Deleted unnecessary trailing commas. 2016-04-29 18:33:46 -07:00
Benoit Steiner
2b890ae618 Fixed compilation errors generated by clang 2016-04-29 18:30:40 -07:00
Benoit Steiner
d217217842 Added a few tests to ensure that the dimensions of rank 0 tensors are correctly computed 2016-04-29 18:15:34 -07:00
Benoit Steiner
f100d1494c Return the proper size (ie 1) for tensors of rank 0 2016-04-29 18:14:33 -07:00
Benoit Steiner
d14105f158 Made several tensor tests compatible with cxx03 2016-04-29 17:22:37 -07:00
Benoit Steiner
c0882ef4d9 Moved a number of tensor tests that don't require cxx11 to work properly outside the EIGEN_TEST_CXX11 test section 2016-04-29 17:13:51 -07:00
Benoit Steiner
9d1dbd1ec0 Fixed teh cxx11_tensor_empty test to compile without requiring cxx11 support 2016-04-29 16:53:55 -07:00
Benoit Steiner
a8c0405cf5 Deleted unused default values for template parameters 2016-04-29 16:34:43 -07:00
Benoit Steiner
4f53178e62 Made a coupe of tensor tests compile without requiring c++11 support. 2016-04-29 16:09:54 -07:00
Benoit Steiner
1131a984a6 Made the cxx11_tensor_forced_eval compile without c++11. 2016-04-29 15:48:59 -07:00
Benoit Steiner
46bcb70969 Don't turn on const expressions when compiling with gcc >= 4.8 unless the -std=c++11 option has been used 2016-04-29 15:20:59 -07:00
Benoit Steiner
c07404f6a1 Restore Tensor support for non c++11 compilers 2016-04-29 15:19:19 -07:00
Benoit Steiner
ba32ded021 Fixed include path 2016-04-29 15:11:09 -07:00
Gael Guennebaud
0f3c4c8ff4 Fix compilation of sparse.cast<>().transpose(). 2016-04-29 18:26:08 +02:00
Benoit Steiner
a524a26fdc Fixed a few memory leaks 2016-04-28 18:55:53 -07:00
Benoit Steiner
dacb23277e Fixed the igamma and igammac implementations to make them callable from a gpu kernel. 2016-04-28 18:54:54 -07:00
Benoit Steiner
a5d4545083 Deleted unused variable 2016-04-28 14:14:48 -07:00
Justin Lebar
40d1e2f8c7 Eliminate mutual recursion in igamma{,c}_impl::Run.
Presently, igammac_impl::Run calls igamma_impl::Run, which in turn calls
igammac_impl::Run.

This isn't actually mutual recursion; the calls are guarded such that we never
get into a loop.  Nonetheless, it's a stretch for clang to prove this.  As a
result, clang emits a recursive call in both igammac_impl::Run and
igamma_impl::Run.

That this is suboptimal code is bad enough, but it's particularly bad when
compiling for CUDA/nvptx.  nvptx allows recursion, but only begrudgingly: If
you have recursive calls in a kernel, it's on you to manually specify the
kernel's stack size.  Otherwise, ptxas will dump a warning, make a guess, and
who knows if it's right.

This change explicitly eliminates the mutual recursion in igammac_impl::Run and
igamma_impl::Run.
2016-04-28 13:57:08 -07:00
Benoit Steiner
3ec81fc00f Fixed compilation error with clang. 2016-04-27 19:32:12 -07:00
Benoit Steiner
2b917291d9 Merged in rmlarsen/eigen2 (pull request PR-183)
Detect cxx_constexpr support when compiling with clang.
2016-04-27 15:19:54 -07:00
Rasmus Munk Larsen
09b9e951e3 Depend on the more extensive support for constexpr in clang:
http://clang.llvm.org/docs/LanguageExtensions.html#c-1y-relaxed-constexpr
2016-04-27 14:59:11 -07:00
Rasmus Munk Larsen
1a325ef71c Detect cxx_constexpr support when compiling with clang. 2016-04-27 14:33:51 -07:00
Benoit Steiner
1a97fd8b4e Merged latest update from trunk 2016-04-27 14:22:45 -07:00
Benoit Steiner
c61170e87d fpclassify isn't portable enough. In particular, the return values of the function are not available on all the platforms Eigen supportes: remove it from Eigen. 2016-04-27 14:22:20 -07:00
Gael Guennebaud
318e65e0ae Fix missing inclusion of Eigen/Core 2016-04-27 23:05:40 +02:00
Benoit Steiner
f629fe95c8 Made the index type a template parameter to evaluateProductBlockingSizes
Use numext::mini and numext::maxi instead of std::min/std::max to compute blocking sizes.
2016-04-27 13:11:19 -07:00
Benoit Steiner
66b215b742 Merged latest updates from trunk 2016-04-27 12:57:48 -07:00
Benoit Steiner
25141b69d4 Improved support for min and max on 16 bit floats when running on recent cuda gpus 2016-04-27 12:57:21 -07:00
Rasmus Larsen
ff33798acd Merged eigen/eigen into default 2016-04-27 12:27:00 -07:00
Rasmus Munk Larsen
463738ccbe Use computeProductBlockingSizes to compute blocking for both ShardByCol and ShardByRow cases. 2016-04-27 12:26:18 -07:00
Benoit Steiner
6744d776ba Added support for fpclassify in Eigen::Numext 2016-04-27 12:10:25 -07:00
Rasmus Munk Larsen
1f48f47ab7 Implement stricter argument checking for SYRK and SY2K and real matrices. To implement the BLAS API they should return info=2 if op='C' is passed for a complex matrix. Without this change, the Eigen BLAS fails the strict zblat3 and cblat3 tests in LAPACK 3.5. 2016-04-27 19:59:44 +02:00
Gael Guennebaud
3dddd34133 Refactor the unsupported CXX11/Core module to internal headers only. 2016-04-26 11:20:25 +02:00