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114 Commits

Author SHA1 Message Date
Gael Guennebaud
4213b63f5c Factories code between numext::hypot and scalar_hyot_op functor. 2018-04-04 15:12:43 +02:00
Gael Guennebaud
407e3e2621 bug #1532: disable stl::*_negate in C++17 (they are deprecated) 2018-04-03 15:59:30 +02:00
Gael Guennebaud
bbd97b4095 Add a EIGEN_NO_CUDA option, and introduce EIGEN_CUDACC and EIGEN_CUDA_ARCH aliases 2017-07-17 01:02:51 +02:00
Gael Guennebaud
8508db52ab bug #1417: make LinSpace compatible with std::complex 2017-06-06 17:25:56 +02:00
Gael Guennebaud
850ca961d2 bug #1383: fix regression in LinSpaced for integers and high<low 2017-01-25 18:13:53 +01:00
Gael Guennebaud
d06a48959a bug #1383: Fix regression from 3.2 with LinSpaced(n,0,n-1) with n==0. 2017-01-25 15:27:13 +01:00
Gael Guennebaud
ba3f977946 bug #1376: add missing assertion on size mismatch with compound assignment operators (e.g., mat += mat.col(j)) 2017-01-23 22:06:08 +01:00
Gael Guennebaud
e383d6159a MSVC 2015 has all we want about c++11 and MSVC 2017 fails on binder1st/binder2nd 2017-01-06 15:44:13 +01:00
Angelos Mantzaflaris
18de92329e use numext::abs 
(grafted from 0a08d4c60b652d1f24b2fa062c818c4b93890c59
)
 2016-12-02 11:48:06 +01:00
Angelos Mantzaflaris
e8a6aa518e 1. Add explicit template to abs2 (resolves deduction for some arithmetic types) 
2. Avoid signed-unsigned conversion in comparison (warning in case Scalar is unsigned)
(grafted from 4086187e49760d4bde72750dfa20ae9451263417
)
 2016-12-02 11:39:18 +01:00
Srinivas Vasudevan
218764ee1f Added support for expm1 in Eigen. 2016-12-02 14:13:01 -08:00
Gael Guennebaud
ab4ef5e66e bug #1351: fix compilation of random with old compilers 2016-11-30 17:37:53 +01:00
Luke Iwanski
5159675c33 Added isnan, isfinite and isinf for SYCL device. Plus test for that. 2016-11-18 16:01:48 +00:00
Gael Guennebaud
a07bb428df bug #1004: improve accuracy of LinSpaced for abs(low) >> abs(high). 2016-11-02 11:34:38 +01:00
Gael Guennebaud
58146be99b bug #1004: one more rewrite of LinSpaced for floating point numbers to guarantee both interpolation and monotonicity. 
This version simply does low+i*step plus a branch to return high if i==size-1.
Vectorization is accomplished with a branch and the help of pinsertlast.
Some quick benchmark revealed that the overhead is really marginal, even when filling small vectors.
 2016-10-25 16:53:09 +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. 
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
Gael Guennebaud
53c77061f0 bug #698: rewrite LinSpaced for integer scalar types to avoid overflow and guarantee an even spacing when possible. 
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
Robert Lukierski
86711497c4 Adding EIGEN_DEVICE_FUNC in the Geometry module. 
Additional CUDA necessary fixes in the Core (mostly usage of
EIGEN_USING_STD_MATH).
 2016-10-12 16:35:17 +01:00
Gael Guennebaud
471eac5399 bug #1195: move NumTraits::Div<>::Cost to internal::scalar_div_cost (with some specializations in arch/SSE and arch/AVX) 2016-09-08 08:36:27 +02:00
Gael Guennebaud
19a95b3309 Fix shadowing wrt Eigen::Index 2016-09-05 17:19:47 +02:00
Gael Guennebaud
218c37beb4 bug #1286: automatically detect the available prototypes of functors passed to CwiseNullaryExpr such that functors have only to implement the operators that matters among: 
operator()()
 operator()(i)
 operator()(i,j)
Linear access is also automatically detected based on the availability of operator()(i,j).
 2016-08-31 15:45:25 +02:00
Gael Guennebaud
35a8e94577 bug #1167: simplify installation of header files using cmake's install(DIRECTORY ...) command. 2016-08-29 10:59:37 +02:00
Gael Guennebaud
ef3de20481 Cleanup cost of tanh 2016-08-23 14:39:55 +02:00
Gael Guennebaud
a4c266f827 Factorize the 4 copies of tanh implementations, make numext::tanh consistent with array::tanh, enable fast tanh in fast-math mode only. 2016-08-23 14:23:08 +02:00
Ziming Dong
1031223c09 fix tanh inconsistent 2016-08-06 19:48:50 +08:00
Gael Guennebaud
2f7e2614e7 bug #1232: refactor special functions as a new SpecialFunctions module, currently in unsupported/. 2016-07-08 11:13:55 +02:00
Gael Guennebaud
1004c4df99 Cleanup unused functors. 2016-06-14 15:27:28 +02:00
Gael Guennebaud
396d9cfb6e Generalize expr.pow(scalar), pow(expr,scalar) and pow(scalar,expr). 
Internal: scalar_pow_op (unary) is removed, and scalar_binary_pow_op is renamed scalar_pow_op.
 2016-06-14 14:10:07 +02:00
Gael Guennebaud
a8c08e8b8e Implement expr+scalar, scalar+expr, expr-scalar, and scalar-expr as binary expressions, and generalize supported scalar types. 
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: 
- 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. 
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. 
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