GitHub-Proxy/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2025-10-18 11:01:28 +08:00
Code Issues Packages Projects Releases Wiki Activity
10,214 Commits 13 Branches 92 Tags
Commit Graph

176 Commits

Author SHA1 Message Date
Deven Desai
471cfe5ff7 renaming CUDA* to GPU* for some header files 2018-07-11 09:22:04 -04:00
Deven Desai
ba972fb6b4 moving Half headers from CUDA dir to GPU dir, removing the HIP versions 2018-06-13 12:26:18 -04:00
Michael Figurnov
4bd158fa37 Derivative of the incomplete Gamma function and the sample of a Gamma random variable. 
In addition to igamma(a, x), this code implements:
* igamma_der_a(a, x) = d igamma(a, x) / da -- derivative of igamma with respect to the parameter
* gamma_sample_der_alpha(alpha, sample) -- reparameterization derivative of a Gamma(alpha, 1) random variable sample with respect to the alpha parameter

The derivatives are computed by forward mode differentiation of the igamma(a, x) code. Although gamma_sample_der_alpha can be implemented via igamma_der_a, a separate function is more accurate and efficient due to analytical cancellation of some terms. All three functions are implemented by a method parameterized with "mode" that always computes the derivatives, but does not return them unless required by the mode. The compiler is expected to (and, based on benchmarks, does) skip the unnecessary computations depending on the mode.
 2018-06-06 18:49:26 +01:00
Michael Figurnov
f216854453 Exponentially scaled modified Bessel functions of order zero and one. 
The functions are conventionally called i0e and i1e. The exponentially scaled version is more numerically stable. The standard Bessel functions can be obtained as i0(x) = exp(|x|) i0e(x)

The code is ported from Cephes and tested against SciPy.
 2018-05-31 15:34:53 +01:00
Gael Guennebaud
e43ca0320d bug #1520: workaround some -Wfloat-equal warnings by calling std::equal_to 2018-04-11 15:24:13 +02:00
Daniel Trebbien
0c57be407d Move up the specialization of std::numeric_limits 
This fixes a compilation error seen when building TensorFlow on macOS:
https://github.com/tensorflow/tensorflow/issues/17067
 2018-02-18 15:35:45 -08:00
nluehr
aefd5fd5c4 Replace __float2half_rn with __float2half 
The latter provides a consistent definition for CUDA 8.0 and 9.0.
 2017-11-28 10:15:46 -08:00
nluehr
dd6de618c3 Fix incorrect integer cast in predux<half2>(). 
Bug corrupts results on Maxwell and earlier GPU architectures.
 2017-11-21 10:47:00 -08:00
Henry Schreiner
9bb26eb8f1 Restore __device__ 2017-10-21 00:50:38 +00:00
Henry Schreiner
4245475d22 Fixing missing inlines on device functions for newer CUDA cards 2017-10-20 03:20:13 +00:00
Gael Guennebaud
9c353dd145 Add C++11 max_digits10 for half. 2017-09-06 10:22:47 +02:00
Benoit Steiner
a4089991eb Added support for CUDA 9.0. 2017-08-31 02:49:39 +00:00
Gael Guennebaud
21633e585b bug #1462: remove all occurences of the deprecated __CUDACC_VER__ macro by introducing EIGEN_CUDACC_VER 2017-08-24 11:06:47 +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
Benoit Steiner
3baef62b9a Added missing __device__ qualifier 2017-06-13 12:56:55 -07:00
Benoit Steiner
449936828c Added missing __device__ qualifier 2017-06-13 12:54:57 -07:00
Gael Guennebaud
26f552c18d fix compilation of Half in C++98 (issue introduced in previous commit) 2017-06-09 13:36:58 +02:00
Gael Guennebaud
d588822779 Add missing std::numeric_limits specialization for half, and complete NumTraits<half> 2017-06-09 11:51:53 +02:00
Abhijit Kundu
9bc0a35731 Fixed nested angle barckets >> issue when compiling with cuda 8 2017-04-27 03:09:03 -04:00
Gael Guennebaud
e958c2baac remove UTF8 symbols 2017-03-07 10:47:40 +01:00
Benoit Steiner
7b61944669 Made most of the packet math primitives usable within CUDA kernel when compiling with clang 2017-02-28 17:05:28 -08:00
Benoit Steiner
34d9fce93b Avoid unecessary float to double conversions. 2017-02-27 16:33:33 -08:00
Srinivas Vasudevan
f7d7c33a28 Fix expm1 CUDA implementation (do not shadow exp CUDA implementation). 2016-12-05 12:19:01 -08:00
Srinivas Vasudevan
09ee7f0c80 Fix small nit where I changed name of plog1p to pexpm1. 2016-12-02 15:30:12 -08:00
Srinivas Vasudevan
218764ee1f Added support for expm1 in Eigen. 2016-12-02 14:13:01 -08:00
Rasmus Munk Larsen
a0329f64fb Add a default constructor for the "fake" __half class when not using the 
__half class provided by CUDA.
 2016-11-29 13:18:09 -08:00
Benoit Steiner
dff9a049c4 Optimized the computation of exp, sqrt, ceil anf floor for fp16 on Pascal GPUs 2016-11-16 09:01:51 -08:00
Benoit Steiner
c80587c92b Merged eigen/eigen into default 2016-11-03 03:55:11 -07:00
Benoit Steiner
7a0e96b80d Gate the code that refers to cuda fp16 primitives more thoroughly 2016-11-01 12:08:09 -07:00
Benoit Steiner
38b6048e14 Deleted redundant implementation of predux 2016-10-12 14:37:56 -07:00
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
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
Benoit Steiner
698ff69450 Properly characterize the CUDA packet primitives for fp16 as device only 2016-10-04 16:53:30 -07:00
Benoit Steiner
409e887d78 Added support for constand std::complex numbers on GPU 2016-10-03 11:06:24 -07:00
Benoit Steiner
26f9907542 Added missing typedefs 2016-09-20 12:58:03 -07:00
RJ Ryan
b2c6dc48d9 Add CUDA-specific std::complex<T> specializations for scalar_sum_op, scalar_difference_op, scalar_product_op, and scalar_quotient_op. 2016-09-20 07:18:20 -07:00
Gael Guennebaud
8f4b4ad5fb use ::hlog if available. 2016-08-29 11:05:32 +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
d937a420a2 Fix compilation with MSVC by using our portable numext::log1p implementation. 2016-08-22 15:44:21 +02:00
Igor Babuschkin
59bacfe520 Fix compilation on CUDA 8 by removing call to h2log1p 2016-08-15 23:38:05 +01:00
Igor Babuschkin
aee693ac52 Add log1p support for CUDA and half floats 2016-08-08 20:24:59 +01:00
Benoit Steiner
fe778427f2 Fixed the constructors of the new half_base class. 2016-08-04 18:32:26 -07:00
Benoit Steiner
9506343349 Fixed the isnan, isfinite and isinf operations on GPU 2016-08-04 17:25:53 -07:00
Gael Guennebaud
17b9a55d98 Move Eigen::half_impl::half to Eigen::half while preserving the free functions to the Eigen::half_impl namespace together with ADL 2016-08-04 00:00:43 +02:00
Benoit Steiner
02fe89f5ef half implementation has been moved to half_impl namespace 2016-07-29 15:09:34 -07:00
Christoph Hertzberg
c5b893f434 bug #1266: half implementation has been moved to half_impl namespace 2016-07-29 18:36:08 +02:00
Gael Guennebaud
395c835f4b Fix CUDA compilation 2016-07-22 15:30:24 +02:00
Gael Guennebaud
47afc9a365 More cleaning in half: 
- put its definition and functions in its own half_impl namespace such that the free function does not polute the Eigen namespace while still making them visible for half through ADL.
 - expose Eigen::half throguh a using statement
 - move operator<< from std to half_float namespace
 2016-07-22 14:33:28 +02:00
Gael Guennebaud
0f350a8b7e Fix CUDA compilation 2016-07-21 18:47:07 +02:00