Benoit Steiner
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7944d4431f
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Made the cost model cwiseMax and cwiseMin methods consts to help the PowerPC cuda compiler compile this code.
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2016-08-18 13:46:36 -07:00 |
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Rasmus Munk Larsen
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7df811cfe5
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Minor cleanups: 1. Get rid of unused variables. 2. Get rid of last uses of EIGEN_USE_COST_MODEL.
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2016-05-18 15:09:48 -07:00 |
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Benoit Steiner
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83ef39e055
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Turn on the cost model by default. This results in some significant speedups for smaller tensors. For example, below are the results for the various tensor reductions.
Before:
BM_colReduction_12T/10 1000000 1949 51.29 MFlops/s
BM_colReduction_12T/80 100000 15636 409.29 MFlops/s
BM_colReduction_12T/640 20000 95100 4307.01 MFlops/s
BM_colReduction_12T/4K 500 4573423 5466.36 MFlops/s
BM_colReduction_4T/10 1000000 1867 53.56 MFlops/s
BM_colReduction_4T/80 500000 5288 1210.11 MFlops/s
BM_colReduction_4T/640 10000 106924 3830.75 MFlops/s
BM_colReduction_4T/4K 500 9946374 2513.48 MFlops/s
BM_colReduction_8T/10 1000000 1912 52.30 MFlops/s
BM_colReduction_8T/80 200000 8354 766.09 MFlops/s
BM_colReduction_8T/640 20000 85063 4815.22 MFlops/s
BM_colReduction_8T/4K 500 5445216 4591.19 MFlops/s
BM_rowReduction_12T/10 1000000 2041 48.99 MFlops/s
BM_rowReduction_12T/80 100000 15426 414.87 MFlops/s
BM_rowReduction_12T/640 50000 39117 10470.98 MFlops/s
BM_rowReduction_12T/4K 500 3034298 8239.14 MFlops/s
BM_rowReduction_4T/10 1000000 1834 54.51 MFlops/s
BM_rowReduction_4T/80 500000 5406 1183.81 MFlops/s
BM_rowReduction_4T/640 50000 35017 11697.16 MFlops/s
BM_rowReduction_4T/4K 500 3428527 7291.76 MFlops/s
BM_rowReduction_8T/10 1000000 1925 51.95 MFlops/s
BM_rowReduction_8T/80 200000 8519 751.23 MFlops/s
BM_rowReduction_8T/640 50000 33441 12248.42 MFlops/s
BM_rowReduction_8T/4K 1000 2852841 8763.19 MFlops/s
After:
BM_colReduction_12T/10 50000000 59 1678.30 MFlops/s
BM_colReduction_12T/80 5000000 725 8822.71 MFlops/s
BM_colReduction_12T/640 20000 90882 4506.93 MFlops/s
BM_colReduction_12T/4K 500 4668855 5354.63 MFlops/s
BM_colReduction_4T/10 50000000 59 1687.37 MFlops/s
BM_colReduction_4T/80 5000000 737 8681.24 MFlops/s
BM_colReduction_4T/640 50000 108637 3770.34 MFlops/s
BM_colReduction_4T/4K 500 7912954 3159.38 MFlops/s
BM_colReduction_8T/10 50000000 60 1657.21 MFlops/s
BM_colReduction_8T/80 5000000 726 8812.48 MFlops/s
BM_colReduction_8T/640 20000 91451 4478.90 MFlops/s
BM_colReduction_8T/4K 500 5441692 4594.16 MFlops/s
BM_rowReduction_12T/10 20000000 93 1065.28 MFlops/s
BM_rowReduction_12T/80 2000000 950 6730.96 MFlops/s
BM_rowReduction_12T/640 50000 38196 10723.48 MFlops/s
BM_rowReduction_12T/4K 500 3019217 8280.29 MFlops/s
BM_rowReduction_4T/10 20000000 93 1064.30 MFlops/s
BM_rowReduction_4T/80 2000000 959 6667.71 MFlops/s
BM_rowReduction_4T/640 50000 37433 10941.96 MFlops/s
BM_rowReduction_4T/4K 500 3036476 8233.23 MFlops/s
BM_rowReduction_8T/10 20000000 93 1072.47 MFlops/s
BM_rowReduction_8T/80 2000000 959 6670.04 MFlops/s
BM_rowReduction_8T/640 50000 38069 10759.37 MFlops/s
BM_rowReduction_8T/4K 1000 2758988 9061.29 MFlops/s
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2016-05-16 08:55:21 -07:00 |
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Benoit Steiner
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09653e1f82
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Improved the portability of the tensor code
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2016-05-11 23:29:09 -07:00 |
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Benoit Steiner
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968ec1c2ae
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Use numext::isfinite instead of std::isfinite
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2016-05-03 19:56:40 -07:00 |
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Benoit Steiner
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c07404f6a1
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Restore Tensor support for non c++11 compilers
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2016-04-29 15:19:19 -07:00 |
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Rasmus Munk Larsen
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07ac4f7e02
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Eigen Tensor cost model part 2: Thread scheduling for standard evaluators and reductions. The cost model is turned off by default.
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2016-04-14 18:28:23 -07:00 |
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Rasmus Munk Larsen
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aeb5494a0b
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Improvements to cost model.
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2016-04-14 15:52:58 -07:00 |
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Rasmus Munk Larsen
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235e83aba6
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Eigen cost model part 1. This implements a basic recursive framework to estimate the cost of evaluating tensor expressions.
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2016-04-14 13:57:35 -07:00 |
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