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
Benoit Steiner
4a164d2c46
Fixed the partial evaluation of non vectorizable tensor subexpressions
2016-04-25 10:43:03 -07:00
Benoit Steiner
fd9401f260
Refined the cost of the striding operation.
2016-04-25 09:16:08 -07:00
Benoit Steiner
5c372d19e3
Merged in rmlarsen/eigen (pull request PR-179)
...
Prevent crash in CompleteOrthogonalDecomposition if object was default constructed.
2016-04-21 18:06:36 -07:00
Benoit Steiner
4bbc97be5e
Provide access to the base threadpool classes
2016-04-21 17:59:33 -07:00
Rasmus Munk Larsen
a3256d78d8
Prevent crash in CompleteOrthogonalDecomposition if object was default constructed.
2016-04-21 16:49:28 -07:00
Benoit Steiner
33adce5c3a
Added the ability to switch to the new thread pool with a #define
2016-04-21 11:59:58 -07:00
Benoit Steiner
79b900375f
Use index list for the striding benchmarks
2016-04-21 11:58:27 -07:00
Benoit Steiner
f670613e4b
Fixed several compilation warnings
2016-04-21 11:03:02 -07:00
Benoit Steiner
6015422ee6
Added an option to enable the use of the F16C instruction set
2016-04-21 10:30:29 -07:00
Benoit Steiner
32ffce04fc
Use EIGEN_THREAD_YIELD instead of std::this_thread::yield to make the code more portable.
2016-04-21 08:47:28 -07:00
Benoit Steiner
2dde1b1028
Don't crash when attempting to reduce empty tensors.
2016-04-20 18:08:20 -07:00
Benoit Steiner
a792cd357d
Added more tests
2016-04-20 17:33:58 -07:00
Benoit Steiner
80200a1828
Don't attempt to leverage the _cvtss_sh and _cvtsh_ss instructions when compiling with clang since it's unclear which versions of clang actually support these instruction.
2016-04-20 12:10:27 -07:00
Benoit Steiner
c7c2054bb5
Started to implement a portable way to yield.
2016-04-19 17:59:58 -07:00
Benoit Steiner
1d0238375d
Made sure all the required header files are included when trying to use fp16
2016-04-19 17:44:12 -07:00
Benoit Steiner
2b72163028
Implemented a more portable version of thread local variables
2016-04-19 15:56:02 -07:00
Benoit Steiner
04f954956d
Fixed a few typos
2016-04-19 15:27:09 -07:00
Benoit Steiner
5b1106c56b
Fixed a compilation error with nvcc 7.
2016-04-19 14:57:57 -07:00
Benoit Steiner
7129d998db
Simplified the code that launches cuda kernels.
2016-04-19 14:55:21 -07:00
Benoit Steiner
b9ea40c30d
Don't take the address of a kernel on CUDA devices that don't support this feature.
2016-04-19 14:35:11 -07:00
Benoit Steiner
884c075058
Use numext::ceil instead of std::ceil
2016-04-19 14:33:30 -07:00
Benoit Steiner
a278414d1b
Avoid an unnecessary copy of the evaluator.
2016-04-19 13:54:28 -07:00
Benoit Steiner
f953c60705
Fixed 2 recent regression tests
2016-04-19 12:57:39 -07:00
Benoit Steiner
50968a0a3e
Use DenseIndex in the MeanReducer to avoid overflows when processing very large tensors.
2016-04-19 11:53:58 -07:00
Benoit Steiner
84543c8be2
Worked around the lack of a rand_r function on windows systems
2016-04-17 19:29:27 -07:00
Benoit Steiner
5fbcfe5eb4
Worked around the lack of a rand_r function on windows systems
2016-04-17 18:42:31 -07:00
Gael Guennebaud
e4fe611e2c
Enable lazy-coeff-based-product for vector*(1x1) products
2016-04-16 15:17:39 +02:00
Benoit Steiner
c8e8f93d6c
Move the evalGemm method into the TensorContractionEvaluatorBase class to make it accessible from both the single and multithreaded contraction evaluators.
2016-04-15 16:48:10 -07:00
Benoit Steiner
1a16fb1532
Deleted extraneous comma.
2016-04-15 15:50:13 -07:00
