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4459 Commits

Author SHA1 Message Date
Benoit Steiner
134d750eab Completed the implementation of vectorized type casting of half floats. 2016-03-18 13:36:28 -07:00
Benoit Steiner
7bd551b3a9 Make all the conversions explicit 2016-03-18 12:20:08 -07:00
Benoit Steiner
7b98de1f15 Implemented some of the missing type casting for half floats 2016-03-17 21:45:45 -07:00
Christoph Hertzberg
46aa9772fc Merged in ebrevdo/eigen (pull request PR-169) 
Bugfixes to cuda tests, igamma & igammac implemented, & tests for digamma, igamma, igammac on CPU & GPU.
 2016-03-16 21:59:08 +01:00
Eugene Brevdo
1f69a1b65f Change the header guard around certain numext functions to be CUDA specific. 2016-03-16 12:44:35 -07:00
Benoit Steiner
5a51366ea5 Fixed a typo. 2016-03-14 09:25:16 -07:00
Benoit Steiner
fcf59e1c37 Properly gate the use of cuda intrinsics in the code 2016-03-14 09:13:44 -07:00
Benoit Steiner
97a1f1c273 Make sure we only use the half float intrinsic when compiling with a version of CUDA that is recent enough to provide them 2016-03-14 08:37:58 -07:00
Benoit Steiner
e29c9676b1 Don't mark the cast operator as explicit, since this is a c++11 feature that's not supported by older compilers. 2016-03-12 00:15:58 -08:00
Benoit Steiner
eecd914864 Also replaced uint32_t with unsigned int to make the code more portable 2016-03-11 19:34:21 -08:00
Benoit Steiner
1ca8c1ec97 Replaced a couple more uint16_t with unsigned short 2016-03-11 19:28:28 -08:00
Benoit Steiner
0423b66187 Use unsigned short instead of uint16_t since they're more portable 2016-03-11 17:53:41 -08:00
Benoit Steiner
048c4d6efd Made half floats usable on hardware that doesn't support them natively. 2016-03-11 17:21:42 -08:00
Benoit Steiner
456e038a4e Fixed the +=, -=, *= and /= operators to return a reference 2016-03-10 15:17:44 -08:00
Eugene Brevdo
836e92a051 Update MathFunctions/SpecialFunctions with intelligent header guards. 2016-03-09 09:04:45 -08:00
Eugene Brevdo
5e7de771e3 Properly fix merge issues. 2016-03-08 17:35:05 -08:00
Eugene Brevdo
73220d2bb0 Resolve bad merge. 2016-03-08 17:28:21 -08:00
Eugene Brevdo
14f0fde51f Add certain functions to numext (log, exp, tan) because CUDA doesn't support std:: 
Use these in SpecialFunctions.
 2016-03-08 17:17:44 -08:00
Eugene Brevdo
0bb5de05a1 Finishing touches on igamma/igammac for GPU. Tests now pass. 2016-03-07 15:35:09 -08:00
Eugene Brevdo
5707004d6b Fix Eigen's building of sharded tests that use CUDA & more igamma/igammac bugfixes. 
0. Prior to this PR, not a single sharded CUDA test was actually being *run*.
Fixed that.

GPU tests are still failing for igamma/igammac.

1. Add calls for igamma/igammac to TensorBase
2. Fix up CUDA-specific calls of igamma/igammac
3. Add unit tests for digamma, igamma, igammac in CUDA.
 2016-03-07 14:08:56 -08:00
Benoit Steiner
05bbca079a Turn on some of the cxx11 features when compiling with visual studio 2015 2016-03-05 10:52:08 -08:00
Eugene Brevdo
0b9e0abc96 Make igamma and igammac work correctly. 
This required replacing ::abs with std::abs.
Modified some unit tests.
 2016-03-04 21:12:10 -08:00
Eugene Brevdo
7ea35bfa1c Initial implementation of igamma and igammac. 2016-03-03 19:39:41 -08:00
Benoit Steiner
1032441c6f Enable partial support for half floats on Kepler GPUs. 2016-03-03 10:34:20 -08:00
Benoit Steiner
1da10a7358 Enable the conversion between floats and half floats on older GPUs that support it. 2016-03-03 10:33:20 -08:00
Benoit Steiner
2de8cc9122 Merged in ebrevdo/eigen (pull request PR-167) 
Add infinity() support to numext::numeric_limits, use it in lgamma.

I tested the code on my gtx-titan-black gpu, and it appears to work as expected.
 2016-03-03 09:42:12 -08:00
Eugene Brevdo
ab3dc0b0fe Small bugfix to numeric_limits for CUDA. 2016-03-02 21:48:46 -08:00
Eugene Brevdo
6afea46838 Add infinity() support to numext::numeric_limits, use it in lgamma. 
This makes the infinity access a __device__ function, removing
nvcc warnings.
 2016-03-02 21:35:48 -08:00
Gael Guennebaud
3fccef6f50 bug #537: fix compilation with Apples's compiler 2016-03-02 13:22:46 +01:00
Gael Guennebaud
dfa80b2060 Compilation fix 2016-03-01 12:48:56 +01:00
Gael Guennebaud
bee9efc203 Compilation fix 2016-03-01 12:47:27 +01:00
Gael Guennebaud
e9bea614ec Fix shortcoming in fixed-value deduction of startRow/startCol 2016-02-29 10:31:27 +01:00
Gael Guennebaud
8e6faab51e bug #1172: make valuePtr and innderIndexPtr properly return null for empty matrices. 2016-02-27 14:55:40 +01:00
Gael Guennebaud
91e1375ba9 merge 2016-02-23 11:09:05 +01:00
Gael Guennebaud
055000a424 Fix startRow()/startCol() for dense Block with direct access: 
the initial implementation failed for empty rows/columns for which are ambiguous.
 2016-02-23 11:07:59 +01:00
Benoit Steiner
6270d851e3 Declare the half float type as arithmetic. 2016-02-22 13:59:33 -08:00
Benoit Steiner
584832cb3c Implemented the ptranspose function on half floats 2016-02-21 12:44:53 -08:00
Benoit Steiner
95fceb6452 Added the ability to compute the absolute value of a half float 2016-02-21 20:24:11 +00:00
Benoit Steiner
9ff269a1d3 Moved some of the fp16 operators outside the Eigen namespace to workaround some nvcc limitations. 2016-02-20 07:47:23 +00:00
Gael Guennebaud
d90a2dac5e merge 2016-02-19 23:01:27 +01:00
Gael Guennebaud
6fa35bbd28 bug #1170: skip calls to memcpy/memmove for empty imput. 2016-02-19 22:58:52 +01:00
Gael Guennebaud
6f0992c05b Fix nesting type and complete reflection methods of Block expressions. 2016-02-19 22:21:02 +01:00
Gael Guennebaud
f3643eec57 Add typedefs for the return type of all block methods. 2016-02-19 22:15:01 +01:00
Benoit Steiner
180156ba1a Added support for tensor reductions on half floats 2016-02-19 10:05:59 -08:00
Benoit Steiner
5c4901b83a Implemented the scalar division of 2 half floats 2016-02-19 10:03:19 -08:00
Benoit Steiner
f7cb755299 Added support for operators +=, -=, *= and /= on CUDA half floats 2016-02-19 15:57:26 +00:00
Benoit Steiner
dc26459b99 Implemented protate() for CUDA 2016-02-19 15:16:54 +00:00
Benoit Steiner
ac5d706a94 Added support for simple coefficient wise tensor expression using half floats on CUDA devices 2016-02-19 08:19:12 +00:00
Benoit Steiner
0606a0a39b FP16 on CUDA are only available starting with cuda 7.5. Disable them when using an older version of CUDA 2016-02-18 23:15:23 -08:00
Benoit Steiner
7151bd8768 Reverted unintended changes introduced by a bad merge 2016-02-19 06:20:50 +00:00