Gael Guennebaud
9e8f07d7b5
Cleanup ArrayWrapper and MatrixWrapper by removing redundant accessors.
2016-10-24 22:16:48 +02:00
Gael Guennebaud
b027d7a8cf
bug #1004 : remove the inaccurate "sequential" path for LinSpaced, mark respective function as deprecated, and enforce strict interpolation of the higher range using a correction term.
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Now, even with floating point precision, both the 'low' and 'high' bounds are exactly reproduced at i=0 and i=size-1 respectively.
2016-10-24 20:27:21 +02:00
Benoit Steiner
b11aab5fcc
Merged in benoitsteiner/opencl (pull request PR-238)
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Added support for OpenCL to the Tensor Module
2016-10-24 15:30:45 +00:00
Gael Guennebaud
53c77061f0
bug #698 : rewrite LinSpaced for integer scalar types to avoid overflow and guarantee an even spacing when possible.
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Otherwise, the "high" bound is implicitly lowered to the largest value allowing for an even distribution.
This changeset also disable vectorization for this integer path.
2016-10-24 15:50:27 +02:00
Gael Guennebaud
e8e56c7642
Add unit test for overflow in LinSpaced
2016-10-24 15:43:51 +02:00
Gael Guennebaud
40f62974b7
bug #1328 : workaround a compilation issue with gcc 4.2
2016-10-20 19:19:37 +02:00
Benoit Steiner
cf20b30d65
Merge latest updates from trunk
2016-10-20 09:42:05 -07:00
Luke Iwanski
03b63e182c
Added SYCL include in Tensor.
2016-10-20 15:32:44 +01:00
Benoit Steiner
d3943cd50c
Fixed a few typos in the ternary tensor expressions types
2016-10-19 12:56:12 -07:00
Mehdi Goli
8fb162fc85
Fixing the typo regarding missing #if needed for proper handling of exceptions in Eigen/Core.
2016-10-16 12:52:34 +01:00
Mehdi Goli
e36cb91c99
Fixing the code indentation in the TensorReduction.h file.
2016-10-14 18:03:00 +01:00
Luke Iwanski
2e188dd4d4
Merged ComputeCpp to default.
2016-10-14 16:47:40 +01:00
Mehdi Goli
15380f9a87
Applyiing Benoit's comment to return the missing line back in Eigen/Core
2016-10-14 16:39:41 +01:00
Gael Guennebaud
692b30ca95
Fix previous merge.
2016-10-14 17:16:28 +02:00
Gael Guennebaud
050c681bdd
Merged in rmlarsen/eigen2 (pull request PR-232)
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Improve performance of parallelized matrix multiply for rectangular matrices
2016-10-14 14:51:09 +00:00
Luke Iwanski
e742da8b28
Merged ComputeCpp into default.
2016-10-14 13:36:51 +01:00
Mehdi Goli
524fa4c46f
Reducing the code by generalising sycl backend functions/structs.
2016-10-14 12:09:55 +01:00
Benoit Steiner
737e4152c3
Merged in lukier/eigen (pull request PR-234)
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Enabling CUDA in Geometry
2016-10-13 18:09:28 +00:00
Benoit Steiner
d0ee2267d6
Relaxed the resizing checks so that they don't fail with gcc >= 5.3
2016-10-13 10:59:46 -07:00
Robert Lukierski
a94791b69a
Fixes for min and abs after Benoit's comments, switched to numext.
2016-10-13 15:00:22 +01:00
Avi Ginsburg
ac63d6891c
Patch to allow VS2015 & CUDA 8.0 to compile with Eigen included. I'm not sure
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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
Benoit Steiner
7e4a6754b2
Merged eigen/eigen into default
2016-10-12 22:42:33 -07:00
Benoit Steiner
38b6048e14
Deleted redundant implementation of predux
2016-10-12 14:37:56 -07:00
Gael Guennebaud
e74612b9a0
Remove double ;;
2016-10-12 22:49:47 +02:00
Benoit Steiner
78d2926508
Merged eigen/eigen into default
2016-10-12 13:46:29 -07:00
Benoit Steiner
2e2f48e30e
Take advantage of AVX512 instructions whenever possible to speedup the processing of 16 bit floats.
2016-10-12 13:45:39 -07:00
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
Robert Lukierski
471075f7ad
Fixes min() warnings.
2016-10-12 18:59:05 +01:00
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
Robert Lukierski
86711497c4
Adding EIGEN_DEVICE_FUNC in the Geometry module.
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Additional CUDA necessary fixes in the Core (mostly usage of
EIGEN_USING_STD_MATH).
2016-10-12 16:35:17 +01:00
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
Benoit Steiner
5c68051cd7
Merge the content of the ComputeCpp branch into the default branch
2016-10-07 11:04:16 -07:00
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
507b661106
Renamed predux_half into predux_downto4
2016-10-06 17:57:04 -07:00
Benoit Steiner
a498ff7df6
Fixed incorrect comment
2016-10-06 15:27:27 -07:00
Benoit Steiner
8ba3c41fcf
Revergted unecessary change
2016-10-06 15:12:15 -07:00
Benoit Steiner
a7473d6d5a
Fixed compilation error with gcc >= 5.3
2016-10-06 14:33:22 -07:00
Benoit Steiner
5e64cea896
Silenced a compilation warning
2016-10-06 14:24:17 -07:00
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
Rasmus Munk Larsen
48c635e223
Add a simple cost model to prevent Eigen's parallel GEMM from using too many threads when the inner dimension is small.
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Timing for square matrices is unchanged, but both CPU and Wall time are significantly improved for skinny matrices. The benchmarks below are for multiplying NxK * KxN matrices with test names of the form BM_OuterishProd/N/K.
Improvements in Wall time:
Run on [redacted] (12 X 3501 MHz CPUs); 2016-10-05T17:40:02.462497196-07:00
CPU: Intel Haswell with HyperThreading (6 cores) dL1:32KB dL2:256KB dL3:15MB
Benchmark Base (ns) New (ns) Improvement
------------------------------------------------------------------
BM_OuterishProd/64/1 3088 1610 +47.9%
BM_OuterishProd/64/4 3562 2414 +32.2%
BM_OuterishProd/64/32 8861 7815 +11.8%
BM_OuterishProd/128/1 11363 6504 +42.8%
BM_OuterishProd/128/4 11128 9794 +12.0%
BM_OuterishProd/128/64 27691 27396 +1.1%
BM_OuterishProd/256/1 33214 28123 +15.3%
BM_OuterishProd/256/4 34312 36818 -7.3%
BM_OuterishProd/256/128 174866 176398 -0.9%
BM_OuterishProd/512/1 7963684 104224 +98.7%
BM_OuterishProd/512/4 7987913 112867 +98.6%
BM_OuterishProd/512/256 8198378 1306500 +84.1%
BM_OuterishProd/1k/1 7356256 324432 +95.6%
BM_OuterishProd/1k/4 8129616 331621 +95.9%
BM_OuterishProd/1k/512 27265418 7517538 +72.4%
Improvements in CPU time:
Run on [redacted] (12 X 3501 MHz CPUs); 2016-10-05T17:40:02.462497196-07:00
CPU: Intel Haswell with HyperThreading (6 cores) dL1:32KB dL2:256KB dL3:15MB
Benchmark Base (ns) New (ns) Improvement
------------------------------------------------------------------
BM_OuterishProd/64/1 6169 1608 +73.9%
BM_OuterishProd/64/4 7117 2412 +66.1%
BM_OuterishProd/64/32 17702 15616 +11.8%
BM_OuterishProd/128/1 45415 6498 +85.7%
BM_OuterishProd/128/4 44459 9786 +78.0%
BM_OuterishProd/128/64 110657 109489 +1.1%
BM_OuterishProd/256/1 265158 28101 +89.4%
BM_OuterishProd/256/4 274234 183885 +32.9%
BM_OuterishProd/256/128 1397160 1408776 -0.8%
BM_OuterishProd/512/1 78947048 520703 +99.3%
BM_OuterishProd/512/4 86955578 1349742 +98.4%
BM_OuterishProd/512/256 74701613 15584661 +79.1%
BM_OuterishProd/1k/1 78352601 3877911 +95.1%
BM_OuterishProd/1k/4 78521643 3966221 +94.9%
BM_OuterishProd/1k/512 258104736 89480530 +65.3%
2016-10-06 10:33:10 -07:00
Benoit Steiner
9f3276981c
Enabling AVX512 should also enable AVX2.
2016-10-06 10:29:48 -07:00
Gael Guennebaud
80b5133789
Fix compilation of qr.inverse() for column and full pivoting variants.
2016-10-06 09:55:50 +02:00