Benoit Steiner
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72d2cf642e
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Deleted the coordinate based evaluation of tensor expressions, since it's hardly ever used and started to cause some issues with some versions of xcode.
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2016-02-22 15:29:41 -08:00 |
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Benoit Steiner
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5cd00068c0
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include <iostream> in the tensor header since we now use it to better report cuda initialization errors
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2016-02-22 13:59:03 -08:00 |
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Benoit Steiner
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257b640463
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Fixed compilation warning generated by clang
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2016-02-21 22:43:37 -08:00 |
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Benoit Steiner
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96a24b05cc
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Optimized casting of tensors in the case where the casting happens to be a no-op
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2016-02-21 11:16:15 -08:00 |
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Benoit Steiner
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203490017f
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Prevent unecessary Index to int conversions
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2016-02-21 08:49:36 -08:00 |
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Rasmus Munk Larsen
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8eb127022b
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Get rid of duplicate code.
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2016-02-19 16:33:30 -08:00 |
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Rasmus Munk Larsen
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d5e2ec7447
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Speed up tensor FFT by up ~25-50%.
Benchmark Base (ns) New (ns) Improvement
------------------------------------------------------------------
BM_tensor_fft_single_1D_cpu/8 132 134 -1.5%
BM_tensor_fft_single_1D_cpu/9 1162 1229 -5.8%
BM_tensor_fft_single_1D_cpu/16 199 195 +2.0%
BM_tensor_fft_single_1D_cpu/17 2587 2267 +12.4%
BM_tensor_fft_single_1D_cpu/32 373 341 +8.6%
BM_tensor_fft_single_1D_cpu/33 5922 4879 +17.6%
BM_tensor_fft_single_1D_cpu/64 797 675 +15.3%
BM_tensor_fft_single_1D_cpu/65 13580 10481 +22.8%
BM_tensor_fft_single_1D_cpu/128 1753 1375 +21.6%
BM_tensor_fft_single_1D_cpu/129 31426 22789 +27.5%
BM_tensor_fft_single_1D_cpu/256 4005 3008 +24.9%
BM_tensor_fft_single_1D_cpu/257 70910 49549 +30.1%
BM_tensor_fft_single_1D_cpu/512 8989 6524 +27.4%
BM_tensor_fft_single_1D_cpu/513 165402 107751 +34.9%
BM_tensor_fft_single_1D_cpu/999 198293 115909 +41.5%
BM_tensor_fft_single_1D_cpu/1ki 21289 14143 +33.6%
BM_tensor_fft_single_1D_cpu/1k 361980 233355 +35.5%
BM_tensor_fft_double_1D_cpu/8 138 131 +5.1%
BM_tensor_fft_double_1D_cpu/9 1253 1133 +9.6%
BM_tensor_fft_double_1D_cpu/16 218 200 +8.3%
BM_tensor_fft_double_1D_cpu/17 2770 2392 +13.6%
BM_tensor_fft_double_1D_cpu/32 406 368 +9.4%
BM_tensor_fft_double_1D_cpu/33 6418 5153 +19.7%
BM_tensor_fft_double_1D_cpu/64 856 728 +15.0%
BM_tensor_fft_double_1D_cpu/65 14666 11148 +24.0%
BM_tensor_fft_double_1D_cpu/128 1913 1502 +21.5%
BM_tensor_fft_double_1D_cpu/129 36414 24072 +33.9%
BM_tensor_fft_double_1D_cpu/256 4226 3216 +23.9%
BM_tensor_fft_double_1D_cpu/257 86638 52059 +39.9%
BM_tensor_fft_double_1D_cpu/512 9397 6939 +26.2%
BM_tensor_fft_double_1D_cpu/513 203208 114090 +43.9%
BM_tensor_fft_double_1D_cpu/999 237841 125583 +47.2%
BM_tensor_fft_double_1D_cpu/1ki 20921 15392 +26.4%
BM_tensor_fft_double_1D_cpu/1k 455183 250763 +44.9%
BM_tensor_fft_single_2D_cpu/8 1051 1005 +4.4%
BM_tensor_fft_single_2D_cpu/9 16784 14837 +11.6%
BM_tensor_fft_single_2D_cpu/16 4074 3772 +7.4%
BM_tensor_fft_single_2D_cpu/17 75802 63884 +15.7%
BM_tensor_fft_single_2D_cpu/32 20580 16931 +17.7%
BM_tensor_fft_single_2D_cpu/33 345798 278579 +19.4%
BM_tensor_fft_single_2D_cpu/64 97548 81237 +16.7%
BM_tensor_fft_single_2D_cpu/65 1592701 1227048 +23.0%
BM_tensor_fft_single_2D_cpu/128 472318 384303 +18.6%
BM_tensor_fft_single_2D_cpu/129 7038351 5445308 +22.6%
BM_tensor_fft_single_2D_cpu/256 2309474 1850969 +19.9%
BM_tensor_fft_single_2D_cpu/257 31849182 23797538 +25.3%
BM_tensor_fft_single_2D_cpu/512 10395194 8077499 +22.3%
BM_tensor_fft_single_2D_cpu/513 144053843 104242541 +27.6%
BM_tensor_fft_single_2D_cpu/999 279885833 208389718 +25.5%
BM_tensor_fft_single_2D_cpu/1ki 45967677 36070985 +21.5%
BM_tensor_fft_single_2D_cpu/1k 619727095 456489500 +26.3%
BM_tensor_fft_double_2D_cpu/8 1110 1016 +8.5%
BM_tensor_fft_double_2D_cpu/9 17957 15768 +12.2%
BM_tensor_fft_double_2D_cpu/16 4558 4000 +12.2%
BM_tensor_fft_double_2D_cpu/17 79237 66901 +15.6%
BM_tensor_fft_double_2D_cpu/32 21494 17699 +17.7%
BM_tensor_fft_double_2D_cpu/33 357962 290357 +18.9%
BM_tensor_fft_double_2D_cpu/64 105179 87435 +16.9%
BM_tensor_fft_double_2D_cpu/65 1617143 1288006 +20.4%
BM_tensor_fft_double_2D_cpu/128 512848 419397 +18.2%
BM_tensor_fft_double_2D_cpu/129 7271322 5636884 +22.5%
BM_tensor_fft_double_2D_cpu/256 2415529 1922032 +20.4%
BM_tensor_fft_double_2D_cpu/257 32517952 24462177 +24.8%
BM_tensor_fft_double_2D_cpu/512 10724898 8287617 +22.7%
BM_tensor_fft_double_2D_cpu/513 146007419 108603266 +25.6%
BM_tensor_fft_double_2D_cpu/999 296351330 221885776 +25.1%
BM_tensor_fft_double_2D_cpu/1ki 59334166 48357539 +18.5%
BM_tensor_fft_double_2D_cpu/1k 666660132 483840349 +27.4%
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2016-02-19 16:29:23 -08:00 |
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Benoit Steiner
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46fc23f91c
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Print an error message to stderr when the initialization of the CUDA runtime fails. This helps debugging setup issues.
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2016-02-19 13:44:22 -08:00 |
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Benoit Steiner
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670db7988d
|
Updated the contraction code to make it compatible with half floats.
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2016-02-19 13:03:26 -08:00 |
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Benoit Steiner
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180156ba1a
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Added support for tensor reductions on half floats
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2016-02-19 10:05:59 -08:00 |
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Benoit Steiner
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f268db1c4b
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Added the ability to query the minor version of a cuda device
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2016-02-19 16:31:04 +00:00 |
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Benoit Steiner
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f3352e0fb0
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Don't make the array constructors explicit
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2016-02-19 15:58:57 +00:00 |
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Benoit Steiner
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cd042dbbfd
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Fixed a bug in the tensor type converter
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2016-02-19 15:03:26 +00:00 |
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Benoit Steiner
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de345eff2e
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Added a method to conjugate the content of a tensor or the result of a tensor expression.
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2016-02-11 16:34:07 -08:00 |
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Benoit Steiner
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9a21b38ccc
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Worked around a few clang compilation warnings
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2016-02-10 08:02:04 -08:00 |
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Benoit Steiner
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72ab7879f7
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Fixed clang comilation warnings
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2016-02-10 06:48:28 -08:00 |
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Benoit Steiner
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e88535634d
|
Fixed some clang compilation warnings
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2016-02-09 23:32:41 -08:00 |
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Benoit Steiner
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d69946183d
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Updated the TensorIntDivisor code to work properly on LLP64 systems
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2016-02-08 21:03:59 -08:00 |
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Benoit Steiner
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4d4211c04e
|
Avoid unecessary type conversions
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2016-02-05 18:19:41 -08:00 |
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Benoit Steiner
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f535378995
|
Added support for vectorized type casting of int to char.
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2016-02-03 18:58:29 -08:00 |
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Benoit Steiner
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4ab63a3f6f
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Fixed the initialization of the dummy member of the array class to make it compatible with pairs of element.
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2016-02-03 17:23:07 -08:00 |
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Benoit Steiner
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1cbb79cdfd
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Made sure the dummy element of size 0 array is always intialized to silence some compiler warnings
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2016-02-03 15:58:26 -08:00 |
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Benoit Steiner
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dc413dbe8a
|
Merged in ville-k/eigen/explicit_long_constructors (pull request PR-158)
Add constructor for long types.
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2016-02-02 20:58:06 -08:00 |
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Ville Kallioniemi
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783018d8f6
|
Use EIGEN_STATIC_ASSERT for backward compatibility.
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2016-02-02 16:45:12 -07:00 |
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Benoit Steiner
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99cde88341
|
Don't try to use direct offsets when computing a tensor product, since the required stride isn't available.
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2016-02-02 11:06:53 -08:00 |
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Ville Kallioniemi
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aedea349aa
|
Replace separate low word constructors with a single templated constructor.
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2016-02-01 20:25:02 -07:00 |
|
Ville Kallioniemi
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f0fdefa96f
|
Rebase to latest.
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2016-02-01 19:32:31 -07:00 |
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Benoit Steiner
|
6b5dff875e
|
Made it possible to limit the number of blocks that will be used to evaluate a tensor expression on a CUDA device. This makesit possible to set aside streaming multiprocessors for other computations.
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2016-02-01 12:46:32 -08:00 |
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Benoit Steiner
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e80ed948e1
|
Fixed a number of compilation warnings generated by the cuda tests
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2016-01-31 20:09:41 -08:00 |
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Benoit Steiner
|
6720b38fbf
|
Fixed a few compilation warnings
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2016-01-31 16:48:50 -08:00 |
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Benoit Steiner
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963f2d2a8f
|
Marked several methods EIGEN_DEVICE_FUNC
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2016-01-28 23:37:48 -08:00 |
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Benoit Steiner
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c5d25bf1d0
|
Fixed a couple of compilation warnings.
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2016-01-28 23:15:45 -08:00 |
|
Gael Guennebaud
|
ddf64babde
|
merge
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2016-01-28 13:21:48 +01:00 |
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Benoit Steiner
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4bf9eaf77a
|
Deleted an invalid assertion that prevented the assignment of empty tensors.
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2016-01-27 17:09:30 -08:00 |
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Benoit Steiner
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291069e885
|
Fixed some compilation problems with nvcc + clang
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2016-01-27 15:37:03 -08:00 |
|
Gael Guennebaud
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9c8f7dfe94
|
bug #1156: fix several function declarations whose arguments were passed by value instead of being passed by reference
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2016-01-27 18:34:42 +01:00 |
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Ville Kallioniemi
|
02db1228ed
|
Add constructor for long types.
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2016-01-26 23:41:01 -07:00 |
|
Hauke Heibel
|
5eb2790be0
|
Fixed minor typo in SplineFitting.
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2016-01-25 22:17:52 +01:00 |
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Benoit Steiner
|
e3a15a03a4
|
Don't explicitely evaluate the subexpression from TensorForcedEval::evalSubExprIfNeeded, as it will be done when executing the EvalTo subexpression
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2016-01-24 23:04:50 -08:00 |
|
Benoit Steiner
|
bd207ce11e
|
Added missing EIGEN_DEVICE_FUNC qualifier
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2016-01-24 20:36:05 -08:00 |
|
Benoit Steiner
|
cb4e53ff7f
|
Merged in ville-k/eigen/tensorflow_fix (pull request PR-153)
Add ctor for long
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2016-01-22 19:11:31 -08:00 |
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Ville Kallioniemi
|
9f94e030c1
|
Re-add executable flags to minimize changeset.
|
2016-01-22 20:08:45 -07:00 |
|
Benoit Steiner
|
3aeeca32af
|
Leverage the new blocking code in the tensor contraction code.
|
2016-01-22 16:36:30 -08:00 |
|
Benoit Steiner
|
4beb447e27
|
Created a mechanism to enable contraction mappers to determine the best blocking strategy.
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2016-01-22 14:37:26 -08:00 |
|
Gael Guennebaud
|
6a44ccb58b
|
Backout changeset 690bc950f7
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2016-01-22 15:03:53 +01:00 |
|
Ville Kallioniemi
|
9b6c72958a
|
Update to latest default branch
|
2016-01-21 23:08:54 -07:00 |
|
Benoit Steiner
|
c33479324c
|
Fixed a constness bug
|
2016-01-21 17:08:11 -08:00 |
|
Jan Prach
|
690bc950f7
|
fix clang warnings
"braces around scalar initializer"
|
2016-01-20 19:35:59 -08:00 |
|
Benoit Steiner
|
7ce932edd3
|
Small cleanup and small fix to the contraction of row major tensors
|
2016-01-20 18:12:08 -08:00 |
|
Benoit Steiner
|
47076bf00e
|
Reduce the register pressure exerted by the tensor mappers whenever possible. This improves the performance of the contraction of a matrix with a vector by about 35%.
|
2016-01-20 14:51:48 -08:00 |
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