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
5f17de3393
Merge changes.
2016-03-08 17:22:26 -08:00
Eugene Brevdo
14f0fde51f
Add certain functions to numext (log, exp, tan) because CUDA doesn't support std::
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Use these in SpecialFunctions.
2016-03-08 17:17:44 -08:00
Benoit Steiner
46177c8d64
Replace std::vector with our own implementation, as using the stl when compiling with nvcc and avx enabled leads to many issues.
2016-03-08 16:37:27 -08:00
Benoit Steiner
6d6413f768
Simplified the full reduction code
2016-03-08 16:02:00 -08:00
Benoit Steiner
5a427a94a9
Fixed the tensor generator code
2016-03-08 13:28:06 -08:00
Benoit Steiner
a81b88bef7
Fixed the tensor concatenation code
2016-03-08 12:30:19 -08:00
Benoit Steiner
551ff11d0d
Fixed the tensor layout swapping code
2016-03-08 12:28:10 -08:00
Benoit Steiner
8768c063f5
Fixed the tensor chipping code.
2016-03-08 12:26:49 -08:00
Benoit Steiner
e09eb835db
Decoupled the packet type definition from the definition of the tensor ops. All the vectorization is now defined in the tensor evaluators. This will make it possible to relialably support devices with different packet types in the same compilation unit.
2016-03-08 12:07:33 -08:00
Benoit Steiner
3b614a2358
Use NumTraits::highest() and NumTraits::lowest() instead of the std::numeric_limits to make the tensor min and max functors more CUDA friendly.
2016-03-07 17:53:28 -08:00
Eugene Brevdo
dd6dcad6c2
Merge branch specfun.
2016-03-07 15:37:12 -08:00
Eugene Brevdo
0bb5de05a1
Finishing touches on igamma/igammac for GPU. Tests now pass.
2016-03-07 15:35:09 -08:00
Benoit Steiner
769685e74e
Added the ability to pad a tensor using a non-zero value
2016-03-07 14:45:37 -08:00
Benoit Steiner
7f87cc3a3b
Fix a couple of typos in the code.
2016-03-07 14:31:27 -08:00
Eugene Brevdo
5707004d6b
Fix Eigen's building of sharded tests that use CUDA & more igamma/igammac bugfixes.
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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
e5f25622e2
Added a test to validate the behavior of some of the tensor syntactic sugar.
2016-03-07 09:04:27 -08:00
Benoit Steiner
9f5740cbc1
Added missing include
2016-03-06 22:03:18 -08:00
Benoit Steiner
5238e03fe1
Don't try to compile the uint128 test with compilers that don't support uint127
2016-03-06 21:59:40 -08:00
Benoit Steiner
9a54c3e32b
Don't warn that msvc 2015 isn't c++11 compliant just because it doesn't claim to be.
2016-03-06 09:38:56 -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
Benoit Steiner
6093eb9ff5
Don't test our 128bit emulation code when compiling with msvc
2016-03-05 10:37:11 -08:00
Benoit Steiner
57b263c5b9
Avoid using initializer lists in test since not all version of msvc support them
2016-03-05 08:35:26 -08:00
Benoit Steiner
23aed8f2e4
Use EIGEN_PI instead of redefining our own constant PI
2016-03-05 08:04:45 -08:00
Eugene Brevdo
0b9e0abc96
Make igamma and igammac work correctly.
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This required replacing ::abs with std::abs.
Modified some unit tests.
2016-03-04 21:12:10 -08:00
Benoit Steiner
c23e0be18f
Use the CMAKE_CXX_STANDARD variable to turn on cxx11
2016-03-04 20:18:01 -08:00
Benoit Steiner
ec35068edc
Don't rely on the M_PI constant since not all compilers provide it.
2016-03-04 16:42:38 -08:00
Benoit Steiner
60d9df11c1
Fixed the computation of leading zeros when compiling with msvc.
2016-03-04 16:27:02 -08:00
Benoit Steiner
4e49fd5eb9
MSVC uses __uint128 while other compilers use __uint128_t to encode 128bit unsigned integers. Make the cxx11_tensor_uint128.cpp test work in both cases.
2016-03-04 14:49:18 -08:00
Benoit Steiner
667fcc2b53
Fixed syntax error
2016-03-04 14:37:51 -08:00
Benoit Steiner
4416a5dcff
Added missing include
2016-03-04 14:35:43 -08:00
Benoit Steiner
c561eeb7bf
Don't use implicit type conversions in initializer lists since not all compilers support them.
2016-03-04 14:12:45 -08:00
Benoit Steiner
174edf976b
Made the contraction test more portable
2016-03-04 14:11:13 -08:00
Benoit Steiner
2c50fc878e
Fixed a typo
2016-03-04 14:09:38 -08:00
Eugene Brevdo
7ea35bfa1c
Initial implementation of igamma and igammac.
2016-03-03 19:39:41 -08:00
Benoit Steiner
deea866bbd
Added tests to cover the new rounding, flooring and ceiling tensor operations.
2016-03-03 12:38:02 -08:00
Benoit Steiner
5cf4558c0a
Added support for rounding, flooring, and ceiling to the tensor api
2016-03-03 12:36:55 -08:00
Benoit Steiner
dac58d7c35
Added a test to validate the conversion of half floats into floats on Kepler GPUs.
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Restricted the testing of the random number generation code to GPU architecture greater than or equal to 3.5.
2016-03-03 10:37:25 -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)
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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.
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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
Benoit Steiner
fedaf19262
Pulled latest updates from trunk
2016-03-01 06:15:44 -08:00
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
Benoit Steiner
68ac5c1738
Improved the performance of large outer reductions on cuda
2016-02-29 18:11:58 -08:00
Benoit Steiner
56a3ada670
Added benchmarks for full reduction
2016-02-29 14:57:52 -08:00