Mehdi Goli
524fa4c46f
Reducing the code by generalising sycl backend functions/structs.
2016-10-14 12:09:55 +01:00
Benoit Steiner
7e4a6754b2
Merged eigen/eigen into default
2016-10-12 22:42:33 -07:00
Gael Guennebaud
091d373ee9
Fix outer-stride.
2016-10-12 21:47:52 +02:00
Benoit Steiner
7f0599b6eb
Manually define int16_t and uint16_t when compiling with Visual Studio
2016-10-08 22:56:32 -07:00
Benoit Steiner
5c68051cd7
Merge the content of the ComputeCpp branch into the default branch
2016-10-07 11:04:16 -07:00
RJ Ryan
e2e9cdd169
Fully support complex types in SumReducer and MeanReducer when building for CUDA by using scalar_sum_op and scalar_product_op instead of operator+ and operator*.
2016-10-06 10:49:48 -07:00
Benoit Steiner
ae1385c7e4
Pull the latest updates from trunk
2016-10-05 14:54:36 -07:00
Benoit Steiner
c84084c0c0
Fixed compilation warning
2016-10-05 14:15:41 -07:00
Benoit Steiner
8b69d5d730
::rand() returns a signed integer on win32
2016-10-05 08:55:02 -07:00
Benoit Steiner
ed7a220b04
Fixed a typo that impacts windows builds
2016-10-05 08:51:31 -07:00
Benoit Steiner
ceee1c008b
Silenced compilation warning
2016-10-04 18:47:53 -07:00
Benoit Steiner
6af5ac7e27
Cleanup the cuda executor code.
2016-10-04 08:52:13 -07:00
Benoit Steiner
2f6d1607c8
Cleaned up the random number generation code.
2016-10-04 08:38:23 -07:00
Benoit Steiner
2bda1b0d93
Updated the tensor sum and mean reducer to enable them to process complex numbers on cuda gpus.
2016-09-28 17:08:41 -07:00
Mehdi Goli
dd602e62c8
Converting alias template to nested struct in order to be compatible with CXX-03
2016-09-27 16:21:19 +01:00
Benoit Steiner
6565f8d60f
Made the initialization of a CUDA device thread safe.
2016-09-26 11:00:32 -07:00
Benoit Steiner
f6ac51a054
Made TensorEvalTo compatible with c++0x again.
2016-09-23 16:45:17 -07:00
Benoit Steiner
00d4e65f00
Deleted unused TensorMap data member
2016-09-23 16:44:45 -07:00
Benoit Steiner
1301d744f8
Made the gaussian generator usable on GPU
2016-09-22 19:04:44 -07:00
Gael Guennebaud
3ada6e4bed
Merged hongkai-dai/eigen/tip into default (bug #1298 )
2016-09-19 22:08:06 +02:00
Benoit Steiner
c3ca9b1e76
Deleted some unecessary and confusing EIGEN_DEVICE_FUNC
2016-09-19 11:33:39 -07:00
Hongkai Dai
5dcc6d301a
remove ternary operator in euler angles
2016-09-19 10:30:30 -07:00
Luke Iwanski
b91e021172
Merged with default.
2016-09-19 14:03:54 +01:00
Luke Iwanski
cb81975714
Partial OpenCL support via SYCL compatible with ComputeCpp CE.
2016-09-19 12:44:13 +01:00
Emil Fresk
6edd2e2851
Made AutoDiffJacobian more intuitive to use and updated for C++11
...
Changes:
* Removed unnecessary types from the Functor by inferring from its types
* Removed inputs() function reference, replaced with .rows()
* Updated the forward constructor to use variadic templates
* Added optional parameters to the Fuctor for passing parameters,
control signals, etc
* Has been tested with fixed size and dynamic matricies
Ammendment by chtz: overload operator() for compatibility with not fully conforming compilers
2016-09-16 14:03:55 +02:00
Gael Guennebaud
18f6e47815
Fix order of "static inline".
2016-09-16 11:32:54 +02:00
Benoit Steiner
488ad7dd1b
Added missing EIGEN_DEVICE_FUNC qualifiers
2016-09-14 13:35:00 -07:00
Benoit Steiner
028e299577
Fixed a bug impacting some outer reductions on GPU
2016-09-12 18:36:52 -07:00
Benoit Steiner
8321dcce76
Merged latest updates from trunk
2016-09-12 10:33:05 -07:00
Benoit Steiner
eb6ba00cc8
Properly size the list of waiters
2016-09-12 10:31:55 -07:00
Benoit Steiner
a618094b62
Added a resize method to MaxSizeVector
2016-09-12 10:30:53 -07:00
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
e1642f485c
bug #1288 : fix memory leak in arpack wrapper.
2016-09-05 18:01:30 +02:00
Benoit Steiner
13df3441ae
Use MaxSizeVector instead of std::vector: xcode sometimes assumes that std::vector allocates aligned memory and therefore issues aligned instruction to initialize it. This can result in random crashes when compiling with AVX instructions enabled.
2016-09-02 19:25:47 -07:00
Benoit Steiner
cadd124d73
Pulled latest update from trunk
2016-09-02 15:30:02 -07:00
Benoit Steiner
05b0518077
Made the index type an explicit template parameter to help some compilers compile the code.
2016-09-02 15:29:34 -07:00
Benoit Steiner
adf864fec0
Merged in rmlarsen/eigen (pull request PR-222)
...
Fix CUDA build broken by changes to min and max reduction.
2016-09-02 14:11:20 -07:00
Rasmus Munk Larsen
13e93ca8b7
Fix CUDA build broken by changes to min and max reduction.
2016-09-02 13:41:36 -07:00
Benoit Steiner
c53f783705
Updated the contraction code to support constant inputs.
2016-09-01 11:41:27 -07:00
Gael Guennebaud
46475eff9a
Adjust Tensor module wrt recent change in nullary functor
2016-09-01 13:40:45 +02:00
Rasmus Munk Larsen
a1e092d1e8
Fix bugs to make min- and max reducers with correctly with IEEE infinities.
2016-08-31 15:04:16 -07:00
Gael Guennebaud
1f84f0d33a
merge EulerAngles module
2016-08-30 10:01:53 +02:00
Gael Guennebaud
e074f720c7
Include missing forward declaration of SparseMatrix
2016-08-29 18:56:46 +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
965e595f02
Add missing log1p method
2016-08-26 14:55:00 +02:00
Benoit Steiner
34ae80179a
Use array_prod instead of calling TotalSize since TotalSize is only available on DSize.
2016-08-15 10:29:14 -07:00
Benoit Steiner
fe73648c98
Fixed a bug in the documentation.
2016-08-12 10:00:43 -07:00
Benoit Steiner
e3a8dfb02f
std::erfcf doesn't exist: use numext::erfc instead
2016-08-11 15:24:06 -07:00
Benoit Steiner
64e68cbe87
Don't attempt to optimize partial reductions when the optimized implementation doesn't buy anything.
2016-08-08 19:29:59 -07:00
Benoit Steiner
ca2cee2739
Merged in ibab/eigen (pull request PR-206)
...
Expose real and imag methods on Tensors
2016-08-03 11:53:04 -07:00
Benoit Steiner
a20b58845f
CUDA_ARCH isn't always defined, so avoid relying on it too much when figuring out which implementation to use for reductions. Instead rely on the device to tell us on which hardware version we're running.
2016-08-03 10:00:43 -07:00
Benoit Steiner
fd220dd8b0
Use numext::conj instead of std::conj
2016-08-01 18:16:16 -07:00
Benoit Steiner
e256acec7c
Avoid unecessary object copies
2016-08-01 17:03:39 -07:00
Benoit Steiner
2693fd54bf
bug #1266 : half implementation has been moved to half_impl namespace
2016-07-29 13:45:56 -07:00
Gael Guennebaud
cc2f6d68b1
bug #1264 : fix compilation
2016-07-27 23:30:47 +02:00
Gael Guennebaud
8972323c08
Big 1261: add missing max(ADS,ADS) overload (same for min)
2016-07-27 14:52:48 +02:00
Gael Guennebaud
0d7039319c
bug #1260 : remove doubtful specializations of ScalarBinaryOpTraits
2016-07-27 14:35:52 +02:00
Benoit Steiner
3d3d34e442
Deleted dead code.
2016-07-25 08:53:37 -07:00
Gael Guennebaud
6d5daf32f5
bug #1255 : comment out broken and unsused line.
2016-07-25 14:48:30 +02:00
Gael Guennebaud
f9598d73b5
bug #1250 : fix pow() for AutoDiffScalar with custom nested scalar type.
2016-07-25 14:42:19 +02:00
Gael Guennebaud
fd1117f2be
Implement digits10 for mpreal
2016-07-25 14:38:55 +02:00
Gael Guennebaud
9908020d36
Add minimal support for Array<string>, and fix Tensor<string>
2016-07-25 14:25:56 +02:00
Benoit Steiner
c6b0de2c21
Improved partial reductions in more cases
2016-07-22 17:18:20 -07:00
Gael Guennebaud
0f350a8b7e
Fix CUDA compilation
2016-07-21 18:47:07 +02:00
Yi Lin
7b4abc2b1d
Fixed a code comment error
2016-07-20 22:28:54 +08:00
Benoit Steiner
20f7ef2f89
An evalTo expression is only aligned iff both the lhs and the rhs are aligned.
2016-07-12 10:56:42 -07:00
Benoit Steiner
3a2dd352ae
Improved the contraction mapper to properly support tensor products
2016-07-11 13:43:41 -07:00
Benoit Steiner
0bc020be9d
Improved the detection of packet size in the tensor scan evaluator.
2016-07-11 12:14:56 -07:00
Gael Guennebaud
a96a7ce3f7
Move CUDA's special functions to SpecialFunctions module.
2016-07-11 18:39:11 +02:00
Gael Guennebaud
fd60966310
merge
2016-07-11 18:11:47 +02:00
Gael Guennebaud
194daa3048
Fix assertion (it did not make sense for static_val types)
2016-07-11 11:39:27 +02:00
Gael Guennebaud
18c35747ce
Emulate _BitScanReverse64 for 32 bits builds
2016-07-11 11:38:04 +02:00
Gael Guennebaud
599f8ba617
Change runtime to compile-time conditional.
2016-07-08 11:39:43 +02:00
Gael Guennebaud
544935101a
Fix warnings
2016-07-08 11:38:52 +02:00
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
179ebb88f9
Fix warning
2016-07-07 09:16:40 +02:00
Gael Guennebaud
ce9fc0ce14
fix clang compilation
2016-07-04 12:59:02 +02:00
Gael Guennebaud
440020474c
Workaround compilation issue with msvc
2016-07-04 12:49:19 +02:00
Igor Babuschkin
78f37ca03c
Expose real and imag methods on Tensors
2016-07-01 17:34:31 +01:00
Benoit Steiner
cb2d8b8fa6
Made it possible to compile reductions for an old cuda architecture and run them on a recent gpu.
2016-06-29 15:42:01 -07:00
Benoit Steiner
b2a47641ce
Made the code compile when using CUDA architecture < 300
2016-06-29 15:32:47 -07:00
Igor Babuschkin
85699850d9
Add missing CUDA kernel to tensor scan op
...
The TensorScanOp implementation was missing a CUDA kernel launch.
This adds a simple placeholder implementation.
2016-06-29 11:54:35 +01:00
Benoit Steiner
75c333f94c
Don't store the scan axis in the evaluator of the tensor scan operation since it's only used in the constructor.
...
Also avoid taking references to values that may becomes stale after a copy construction.
2016-06-27 10:32:38 -07:00
Benoit Steiner
7944d4431f
Made the cost model cwiseMax and cwiseMin methods consts to help the PowerPC cuda compiler compile this code.
2016-08-18 13:46:36 -07:00
Benoit Steiner
647a51b426
Force the inlining of a simple accessor.
2016-08-18 12:31:02 -07:00
Benoit Steiner
a452dedb4f
Merged in ibab/eigen/double-tensor-reduction (pull request PR-216)
...
Enable efficient Tensor reduction for doubles on the GPU (continued)
2016-08-18 12:29:54 -07:00
Igor Babuschkin
18c67df31c
Fix remaining CUDA >= 300 checks
2016-08-18 17:18:30 +01:00
Igor Babuschkin
1569a7d7ab
Add the necessary CUDA >= 300 checks back
2016-08-18 17:15:12 +01:00
Benoit Steiner
2b17f34574
Properly detect the type of the result of a contraction.
2016-08-16 16:00:30 -07:00
Igor Babuschkin
841e075154
Remove CUDA >= 300 checks and enable outer reductin for doubles
2016-08-06 18:07:50 +01:00
Igor Babuschkin
0425118e2a
Merge upstream changes
2016-08-05 14:34:57 +01:00
Igor Babuschkin
9537e8b118
Make use of atomicExch for atomicExchCustom
2016-08-05 14:29:58 +01:00
Igor Babuschkin
eeb0d880ee
Enable efficient Tensor reduction for doubles
2016-07-01 19:08:26 +01:00
Gael Guennebaud
cfff370549
Fix hyperbolic functions for autodiff.
2016-06-24 23:21:35 +02:00
Gael Guennebaud
3852351793
merge pull request 198
2016-06-24 11:48:17 +02:00
Gael Guennebaud
6dd9077070
Fix some unused typedef warnings.
2016-06-24 11:34:21 +02:00
Gael Guennebaud
ce90647fa5
Fix NumTraits<AutoDiff>
2016-06-24 11:34:02 +02:00
Gael Guennebaud
fa39f81b48
Fix instantiation of ScalarBinaryOpTraits for AutoDiff.
2016-06-24 11:33:30 +02:00
Rasmus Munk Larsen
a9c1e4d7b7
Return -1 from CurrentThreadId when called by thread outside the pool.
2016-06-23 16:40:07 -07:00
Rasmus Munk Larsen
d39df320d2
Resolve merge.
2016-06-23 15:08:03 -07:00