Avi Ginsburg
ac63d6891c
Patch to allow VS2015 & CUDA 8.0 to compile with Eigen included. I'm not sure
...
whether to limit the check to this compiler combination
(` || (EIGEN_COMP_MSVC == 1900 && __CUDACC_VER__) `)
or to leave it as it is. I also don't know if this will have any affect on
including Eigen in device code (I'm not in my current project).
2016-10-13 08:47:32 +00:00
Gael Guennebaud
e74612b9a0
Remove double ;;
2016-10-12 22:49:47 +02:00
Gael Guennebaud
f939c351cb
Fix SPQR for rectangular matrices
2016-10-12 22:39:33 +02:00
Gael Guennebaud
091d373ee9
Fix outer-stride.
2016-10-12 21:47:52 +02:00
Gael Guennebaud
5c366fe1d7
Merged in rmlarsen/eigen (pull request PR-230)
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Fix a bug in psqrt for SSE and AVX when EIGEN_FAST_MATH=1
2016-10-12 16:30:51 +00:00
Rasmus Munk Larsen
47150af1c8
Fix copy-paste error: Must use _mm256_cmp_ps for AVX.
2016-10-12 08:34:39 -07:00
Gael Guennebaud
89e315152c
bug #1325 : fix compilation on NEON with clang
2016-10-12 16:55:47 +02:00
Benoit Steiner
7f0599b6eb
Manually define int16_t and uint16_t when compiling with Visual Studio
2016-10-08 22:56:32 -07:00
Benoit Steiner
5727e4d89c
Reenabled the use of variadic templates on tegra x1 provides that the latest version (i.e. JetPack 2.3) is used.
2016-10-08 22:19:03 +00:00
Benoit Steiner
5266ff8966
Cleaned up a regression test
2016-10-08 19:12:44 +00:00
Gael Guennebaud
4860727ac2
Remove static qualifier of free-functions (inline is enough and this helps ICC to find the right overload)
2016-10-07 09:21:12 +02:00
Benoit Steiner
33fba3f08d
Merged in rryan/eigen/tensorfunctors (pull request PR-233)
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Fully support complex types in SumReducer and MeanReducer when building for CUDA by using scalar_sum_op and scalar_product_op instead of operator+ and operator*.
2016-10-06 12:29:19 -07:00
RJ Ryan
bfc264abe8
Add a test that GPU complex product reductions match CPU reductions.
2016-10-06 11:10:14 -07:00
RJ Ryan
e2e9cdd169
Fully support complex types in SumReducer and MeanReducer when building for CUDA by using scalar_sum_op and scalar_product_op instead of operator+ and operator*.
2016-10-06 10:49:48 -07:00
Benoit Steiner
d485d12c51
Added missing AVX intrinsics for fp16: in particular, implemented predux which is required by the matrix-vector code.
2016-10-06 10:41:03 -07:00
Gael Guennebaud
80b5133789
Fix compilation of qr.inverse() for column and full pivoting variants.
2016-10-06 09:55:50 +02:00
Benoit Steiner
4387433acf
Increased the robustness of the reduction tests on fp16
2016-10-05 10:42:41 -07:00
Benoit Steiner
aad20d700d
Increase the tolerance to numerical noise.
2016-10-05 10:39:24 -07:00
Benoit Steiner
8b69d5d730
::rand() returns a signed integer on win32
2016-10-05 08:55:02 -07:00
Benoit Steiner
ed7a220b04
Fixed a typo that impacts windows builds
2016-10-05 08:51:31 -07:00
Benoit Steiner
ceee1c008b
Silenced compilation warning
2016-10-04 18:47:53 -07:00
Benoit Steiner
698ff69450
Properly characterize the CUDA packet primitives for fp16 as device only
2016-10-04 16:53:30 -07:00
Rasmus Munk Larsen
7f67e6dfdb
Update comment for fast sqrt.
2016-10-04 15:09:11 -07:00
Rasmus Munk Larsen
765615609d
Update comment for fast sqrt.
2016-10-04 15:08:41 -07:00
Rasmus Munk Larsen
3ed67cb0bb
Fix a bug in the implementation of Carmack's fast sqrt algorithm in Eigen (enabled by EIGEN_FAST_MATH), which causes the vectorized parts of the computation to return -0.0 instead of NaN for negative arguments.
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Benchmark speed in Giga-sqrts/s
Intel(R) Xeon(R) CPU E5-1650 v3 @ 3.50GHz
-----------------------------------------
SSE AVX
Fast=1 2.529G 4.380G
Fast=0 1.944G 1.898G
Fast=1 fixed 2.214G 3.739G
This table illustrates the worst case in terms speed impact: It was measured by repeatedly computing the sqrt of an n=4096 float vector that fits in L1 cache. For large vectors the operation becomes memory bound and the differences between the different versions almost negligible.
2016-10-04 14:22:56 -07:00
Benoit Steiner
6af5ac7e27
Cleanup the cuda executor code.
2016-10-04 08:52:13 -07:00
Benoit Steiner
2f6d1607c8
Cleaned up the random number generation code.
2016-10-04 08:38:23 -07:00
Benoit Steiner
881b90e984
Use explicit type casting to generate packets of zeros.
2016-10-04 08:23:38 -07:00
Benoit Steiner
616a7a1912
Improved support for compiling CUDA code with clang as the host compiler
2016-10-03 17:09:33 -07:00
Benoit Steiner
409e887d78
Added support for constand std::complex numbers on GPU
2016-10-03 11:06:24 -07:00
Gael Guennebaud
9d6d0dff8f
bug #1317 : fix performance regression with some Block expressions and clang by helping it to remove dead code.
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The trick is to get rid of the nested expression in the evaluator by copying only the required information (here, the strides).
2016-10-01 15:37:00 +02:00
Gael Guennebaud
8b84801f7f
bug #1310 : workaround a compilation regression from 3.2 regarding triangular * homogeneous
2016-09-30 22:49:59 +02:00
Gael Guennebaud
67b4f45836
Fix angle range
2016-09-30 12:46:33 +02:00
Gael Guennebaud
27f3970453
Remove std:: prefix
2016-09-30 12:40:41 +02:00
Gael Guennebaud
3860a0bc8f
bug #1312 : Quaternion to AxisAngle conversion now ensures the angle will be in the range [-pi,pi]. This also increases accuracy when q.w is negative.
2016-09-29 23:23:35 +02:00
Gael Guennebaud
33500050c3
bug #1308 : fix compilation of some small products involving nullary-expressions.
2016-09-29 09:40:44 +02:00
Benoit Steiner
27d7628f16
Updated the list of warnings to reflect the new message ids introduced in cuda 8.0
2016-09-28 17:42:59 -07:00
Benoit Steiner
2bda1b0d93
Updated the tensor sum and mean reducer to enable them to process complex numbers on cuda gpus.
2016-09-28 17:08:41 -07:00
Gael Guennebaud
f3a00dd2b5
Merged in sergiu/eigen (pull request PR-229)
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Disabled MSVC level 4 warning C4714
2016-09-27 09:28:08 +02:00
Gael Guennebaud
892afb9416
Add debug info.
2016-09-26 23:53:57 +02:00
Gael Guennebaud
779774f98c
bug #1311 : fix alignment logic in some cases of (scalar*small).lazyProduct(small)
2016-09-26 23:53:40 +02:00
Benoit Steiner
6565f8d60f
Made the initialization of a CUDA device thread safe.
2016-09-26 11:00:32 -07:00
Gael Guennebaud
48dfe98abd
bug #1308 : fix compilation of vector * rowvector::nullary.
2016-09-25 14:54:35 +02:00
Sergiu Deitsch
fe29157d02
disabled MSVC level 4 warning C4714
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The level 4 warning (/W4) warns about functions marked as __forceinline not
inlined, and generates a lot of noise.
2016-09-25 14:25:47 +02:00
Gael Guennebaud
86caba838d
bug #1304 : fix Projective * scaling and Projective *= scaling
2016-09-23 13:41:21 +02:00
Gael Guennebaud
b9f7a17e47
Add missing file.
2016-09-23 10:26:08 +02:00
Benoit Steiner
1301d744f8
Made the gaussian generator usable on GPU
2016-09-22 19:04:44 -07:00
Benoit Steiner
2a69290ddb
Added a specialization of Eigen::numext::real and Eigen::numext::imag for std::complex<T> to be used when compiling a cuda kernel. This is unfortunately necessary to be able to process complex numbers from a CUDA kernel on MacOS.
2016-09-22 15:52:23 -07:00
Gael Guennebaud
3946768916
Added tag 3.3-rc1 for changeset 77e27fbeee7acb289d7df809fc09a8cc8ee94eb7
2016-09-22 22:38:36 +02:00
Gael Guennebaud
77e27fbeee
bump to 3.3-rc1
2016-09-22 22:37:39 +02:00
