Gael Guennebaud
a8c08e8b8e
Implement expr+scalar, scalar+expr, expr-scalar, and scalar-expr as binary expressions, and generalize supported scalar types.
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The following functors are now deprecated: scalar_add_op, scalar_sub_op, and scalar_rsub_op.
2016-06-14 12:06:10 +02:00
Gael Guennebaud
bcc0f38f98
Add unittesting plugins to scalar_product_op and scalar_quotient_op to help chaking that types are properly propagated.
2016-06-14 11:31:27 +02:00
Gael Guennebaud
f5b1c73945
Set cost of constant expression to 0 (the cost should be amortized through the expression)
2016-06-14 11:29:06 +02:00
Gael Guennebaud
3c12e24164
Add bind1st_op and bind2nd_op helpers to turn binary functors into unary ones, and implement scalar_multiple2 and scalar_quotient2 on top of them.
2016-06-13 16:18:59 +02:00
Gael Guennebaud
5fdd703629
Enable mixing types in numext::pow
2016-06-10 15:58:04 +02:00
Gael Guennebaud
2e238bafb6
Big 279: enable mixing types for comparisons, min, and max.
2016-06-10 15:05:43 +02:00
Gael Guennebaud
66e99ab6a1
Relax mixing-type constraints for binary coefficient-wise operators:
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- Replace internal::scalar_product_traits<A,B> by Eigen::ScalarBinaryOpTraits<A,B,OP>
- Remove the "functor_is_product_like" helper (was pretty ugly)
- Currently, OP is not used, but it is available to the user for fine grained tuning
- Currently, only the following operators have been generalized: *,/,+,-,=,*=,/=,+=,-=
- TODO: generalize all other binray operators (comparisons,pow,etc.)
- TODO: handle "scalar op array" operators (currently only * is handled)
- TODO: move the handling of the "void" scalar type to ScalarBinaryOpTraits
2016-06-06 15:11:41 +02:00
Eugene Brevdo
39baff850c
Add TernaryFunctors and the betainc SpecialFunction.
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TernaryFunctors and their executors allow operations on 3-tuples of inputs.
API fully implemented for Arrays and Tensors based on binary functors.
Ported the cephes betainc function (regularized incomplete beta
integral) to Eigen, with support for CPU and GPU, floats, doubles, and
half types.
Added unit tests in array.cpp and cxx11_tensor_cuda.cu
Collapsed revision
* Merged helper methods for betainc across floats and doubles.
* Added TensorGlobalFunctions with betainc(). Removed betainc() from TensorBase.
* Clean up CwiseTernaryOp checks, change igamma_helper to cephes_helper.
* betainc: merge incbcf and incbd into incbeta_cfe. and more cleanup.
* Update TernaryOp and SpecialFunctions (betainc) based on review comments.
2016-06-02 17:04:19 -07:00
Gael Guennebaud
89099b0cf7
Expose log1p to Array.
2016-06-01 17:00:08 +02:00
Gael Guennebaud
c7f54b11ec
linspaced's divisor for integer is better stored as the underlying scalar type.
2016-05-26 17:36:54 +02:00
Gael Guennebaud
84df9142e7
bug #1231 : fix compilation regression regarding complex_array/=real_array and add respective unit tests
2016-05-18 23:00:13 +02:00
Rasmus Munk Larsen
0dbd68145f
Roll back changes to core. Move include of TensorFunctors.h up to satisfy dependence in TensorCostModel.h.
2016-05-17 10:25:19 -07:00
Rasmus Munk Larsen
e55deb21c5
Improvements to parallelFor.
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Move some scalar functors from TensorFunctors. to Eigen core.
2016-05-12 14:07:22 -07:00
Benoit Steiner
217d984abc
Fixed a typo in my previous commit
2016-05-11 10:22:15 -07:00
Christoph Hertzberg
dacb469bc9
Enable and fix -Wdouble-conversion warnings
2016-05-05 13:35:45 +02:00
Benoit Steiner
18e6f67426
Added support for exclusive or
2016-04-14 20:37:46 -07:00
Benoit Steiner
10b69810d1
Improved support for trigonometric functions on GPU
2016-04-13 16:00:51 -07:00
Benoit Steiner
bf3f6688f0
Added support for computing cos, sin, tan, and tanh on GPU.
2016-04-13 11:55:08 -07:00
Benoit Steiner
aa1ba8bbd2
Don't put a command at the end of an enumerator list
2016-04-12 16:28:11 -07:00
Benoit Steiner
748c4c4599
More accurate cost estimates for exp, log, tanh, and sqrt.
2016-04-11 13:11:04 -07:00
Benoit Steiner
74f64838c5
Updated the unary functors to use the numext implementation of typicall functions instead of the one provided in the standard library. The standard library functions aren't supported officially by cuda, so we're better off using the numext implementations.
2016-04-07 11:42:14 -07:00
tillahoffmann
726bd5f077
Merged eigen/eigen into default
2016-04-05 18:21:05 +01:00
Benoit Steiner
c4179dd470
Updated the scalar_abs_op struct to make it compatible with cuda devices.
2016-04-04 11:11:51 -07:00
Till Hoffmann
57239f4a81
Added polygamma function.
2016-04-01 14:35:21 +01:00
Till Hoffmann
dd5d390daf
Added zeta function.
2016-04-01 13:32:29 +01:00
Benoit Steiner
65716e99a5
Improved the cost estimate of the quotient op
2016-03-25 11:13:53 -07:00
Benoit Steiner
d94f6ba965
Started to model the cost of divisions more accurately.
2016-03-25 11:02:56 -07:00
Eugene Brevdo
73220d2bb0
Resolve bad merge.
2016-03-08 17:28:21 -08:00
Gael Guennebaud
6e0a86194c
Fix integer path for num_steps==1
2016-02-01 15:00:04 +01:00
Gael Guennebaud
e1d219e5c9
bug #698 : fix linspaced for integer types.
2016-02-01 14:25:34 +01:00
Abhijit Kundu
3fde202215
Making ceil() functor generic w.r.t packet type
2016-01-28 21:27:00 -05:00
Eugene Brevdo
f7362772e3
Add digamma for CPU + CUDA. Includes tests.
2015-12-24 21:15:38 -08:00
Benoit Steiner
3504ae47ca
Made it possible to run the lgamma, erf, and erfc functors on a CUDA gpu.
2015-12-21 15:20:06 -08:00
Gael Guennebaud
ca39b1546e
Merged in ebrevdo/eigen (pull request PR-148)
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Add special functions to eigen: lgamma, erf, erfc.
2015-12-11 11:52:09 +01:00
Mark Borgerding
22dd368ea0
sign(complex) compiles for GPU
2015-12-10 16:14:29 -05:00
Eugene Brevdo
fa4f933c0f
Add special functions to Eigen: lgamma, erf, erfc.
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Includes CUDA support and unit tests.
2015-12-07 15:24:49 -08:00
Benoit Steiner
d2d4c45d55
Made it possible to leverage several binary functor in a CUDA kernel
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Explicitely specified the return type of the various scalar_cmp_op functors.
2015-12-02 17:21:33 -08:00
Mark Borgerding
7ddcf97da7
added scalar_sign_op (both real,complex)
2015-11-24 17:15:07 -05:00
Benoit Steiner
1e1755352d
Made it possible to compute atan, tanh, sinh and cosh on GPU
2015-11-12 20:19:38 -08:00
Benoit Steiner
4f471146fb
Allow the vectorized version of the Binary and the Nullary functors to run on GPU
2015-11-11 15:19:00 -08:00
Benoit Steiner
d27e4f1cba
Added missing EIGEN_DEVICE_FUNC statements
2015-11-06 09:23:58 -08:00
Benoit Steiner
ed1962b464
Reimplement the tensor comparison operators by using the scalar_cmp_op functors. This makes them more cuda friendly.
2015-11-06 09:18:43 -08:00
Gael Guennebaud
dd934ad057
Re-enable vectorization of LinSpaced, plus some cleaning
2015-10-08 17:27:01 +02:00
Gael Guennebaud
dc2c103b3b
merge
2015-08-16 14:22:02 +02:00
Christoph Hertzberg
61e0977e10
Protect all calls to isnan, isinf and isfinite with parentheses.
2015-08-14 17:32:34 +02:00
Gael Guennebaud
6245591349
Fix prototype of plset and generalize linspace functor.
2015-08-07 19:27:59 +02:00
Gael Guennebaud
60e4260d0d
Some functors were not generic wrt packet-type.
2015-08-07 17:41:39 +02:00
Gael Guennebaud
65bfa5fce7
Allow to use arbitrary packet-types during evaluation.
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This is implemented by adding a PacketType template parameter to packet and writePacket members of evaluator<>.
2015-08-07 12:01:39 +02:00
Nicolas Mellado
dbb3e2cf8a
Cleaning
2015-07-11 18:15:31 +00:00
Nicolas Mellado
0d09845562
Revert files to remove EIGEN_USING_NUMEXT_MATH
2015-07-11 20:11:36 +02:00
