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1365 Commits

Author SHA1 Message Date
Christoph Hertzberg
b786ce8c72 Fix conversion warning ... again 2018-10-02 18:35:25 +02:00
Christoph Hertzberg
564ca71e39 Merged in deven-amd/eigen/HIP_fixes (pull request PR-518) 
PR with HIP specific fixes (for the eigen nightly regression failures in HIP mode)
 2018-10-01 16:51:04 +00:00
Deven Desai
94898488a6 This commit contains the following (HIP specific) updates: 
- unsupported/Eigen/CXX11/src/Tensor/TensorReductionGpu.h
  Changing "pass-by-reference" argument to be "pass-by-value" instead
  (in a  __global__ function decl).
  "pass-by-reference" arguments to __global__ functions are unwise,
  and will be explicitly flagged as errors by the newer versions of HIP.

- Eigen/src/Core/util/Memory.h
- unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h
  Changes introduced in recent commits breaks the HIP compile.
  Adding EIGEN_DEVICE_FUNC attribute to some functions and
  calling ::malloc/free instead of the corresponding std:: versions
  to get the HIP compile working again

- unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h
  Change introduced a recent commit breaks the HIP compile
  (link stage errors out due to failure to inline a function).
  Disabling the recently introduced code (only for HIP compile), to get
  the eigen nightly testing going again.
  Will submit another PR once we have te proper fix.

- Eigen/src/Core/util/ConfigureVectorization.h
  Enabling GPU VECTOR support when HIP compiler is in use
  (for both the host and device compile phases)
 2018-10-01 14:28:37 +00:00
Rasmus Munk Larsen
2088c0897f Merged eigen/eigen into default 2018-09-28 16:00:46 -07:00
Rasmus Munk Larsen
31629bb964 Get rid of unused variable warning. 2018-09-28 16:00:09 -07:00
Eugene Zhulenev
bb13d5d917 Fix bug in copy optimization in Tensor slicing. 2018-09-28 14:34:42 -07:00
Rasmus Munk Larsen
104e8fa074 Fix a few warnings and rename a variable to not shadow "last". 2018-09-28 12:00:08 -07:00
Rasmus Munk Larsen
7c1b47840a Merged in ezhulenev/eigen-01 (pull request PR-514) 
Add tests for evalShardedByInnerDim contraction + fix bugs
 2018-09-28 18:37:54 +00:00
Eugene Zhulenev
524c81f3fa Add tests for evalShardedByInnerDim contraction + fix bugs 2018-09-28 11:24:08 -07:00
Christoph Hertzberg
86ba50be39 Fix integer conversion warnings 2018-09-28 19:33:39 +02:00
Eugene Zhulenev
e95696acb3 Optimize TensorBlockCopyOp 2018-09-27 14:49:26 -07:00
Eugene Zhulenev
9f33e71e9d Revert code lost in merge 2018-09-27 12:08:17 -07:00
Eugene Zhulenev
a7a3e9f2b6 Merge with eigen/eigen default 2018-09-27 12:05:06 -07:00
Eugene Zhulenev
9f4988959f Remove explicit mkldnn support and redundant TensorContractionKernelBlocking 2018-09-27 11:49:19 -07:00
Rasmus Munk Larsen
d956204ab2 Remove "false &&" left over from test. 2018-09-26 17:03:30 -07:00
Rasmus Munk Larsen
3815aeed7a Parallelize tensor contraction over the inner dimension in cases where where one or both of the outer dimensions (m and n) are small but k is large. This speeds up individual matmul microbenchmarks by up to 85%. 
Naming below is BM_Matmul_M_K_N_THREADS, measured on a 2-socket Intel Broadwell-based server.

Benchmark                          Base (ns)  New (ns) Improvement
------------------------------------------------------------------
BM_Matmul_1_80_13522_1                  387457    396013     -2.2%
BM_Matmul_1_80_13522_2                  406487    230789    +43.2%
BM_Matmul_1_80_13522_4                  395821    123211    +68.9%
BM_Matmul_1_80_13522_6                  391625     97002    +75.2%
BM_Matmul_1_80_13522_8                  408986    113828    +72.2%
BM_Matmul_1_80_13522_16                 399988     67600    +83.1%
BM_Matmul_1_80_13522_22                 411546     60044    +85.4%
BM_Matmul_1_80_13522_32                 393528     57312    +85.4%
BM_Matmul_1_80_13522_44                 390047     63525    +83.7%
BM_Matmul_1_80_13522_88                 387876     63592    +83.6%
BM_Matmul_1_1500_500_1                  245359    248119     -1.1%
BM_Matmul_1_1500_500_2                  401833    143271    +64.3%
BM_Matmul_1_1500_500_4                  210519    100231    +52.4%
BM_Matmul_1_1500_500_6                  251582     86575    +65.6%
BM_Matmul_1_1500_500_8                  211499     80444    +62.0%
BM_Matmul_3_250_512_1                    70297     68551     +2.5%
BM_Matmul_3_250_512_2                    70141     52450    +25.2%
BM_Matmul_3_250_512_4                    67872     58204    +14.2%
BM_Matmul_3_250_512_6                    71378     63340    +11.3%
BM_Matmul_3_250_512_8                    69595     41652    +40.2%
BM_Matmul_3_250_512_16                   72055     42549    +40.9%
BM_Matmul_3_250_512_22                   70158     54023    +23.0%
BM_Matmul_3_250_512_32                   71541     56042    +21.7%
BM_Matmul_3_250_512_44                   71843     57019    +20.6%
BM_Matmul_3_250_512_88                   69951     54045    +22.7%
BM_Matmul_3_1500_512_1                  369328    374284     -1.4%
BM_Matmul_3_1500_512_2                  428656    223603    +47.8%
BM_Matmul_3_1500_512_4                  205599    139508    +32.1%
BM_Matmul_3_1500_512_6                  214278    139071    +35.1%
BM_Matmul_3_1500_512_8                  184149    142338    +22.7%
BM_Matmul_3_1500_512_16                 156462    156983     -0.3%
BM_Matmul_3_1500_512_22                 163905    158259     +3.4%
BM_Matmul_3_1500_512_32                 155314    157662     -1.5%
BM_Matmul_3_1500_512_44                 235434    158657    +32.6%
BM_Matmul_3_1500_512_88                 156779    160275     -2.2%
BM_Matmul_1500_4_512_1                  363358    349528     +3.8%
BM_Matmul_1500_4_512_2                  303134    263319    +13.1%
BM_Matmul_1500_4_512_4                  176208    130086    +26.2%
BM_Matmul_1500_4_512_6                  148026    115449    +22.0%
BM_Matmul_1500_4_512_8                  131656     98421    +25.2%
BM_Matmul_1500_4_512_16                 134011     82861    +38.2%
BM_Matmul_1500_4_512_22                 134950     85685    +36.5%
BM_Matmul_1500_4_512_32                 133165     90081    +32.4%
BM_Matmul_1500_4_512_44                 133203     90644    +32.0%
BM_Matmul_1500_4_512_88                 134106    100566    +25.0%
BM_Matmul_4_1500_512_1                  439243    435058     +1.0%
BM_Matmul_4_1500_512_2                  451830    257032    +43.1%
BM_Matmul_4_1500_512_4                  276434    164513    +40.5%
BM_Matmul_4_1500_512_6                  182542    144827    +20.7%
BM_Matmul_4_1500_512_8                  179411    166256     +7.3%
BM_Matmul_4_1500_512_16                 158101    155560     +1.6%
BM_Matmul_4_1500_512_22                 152435    155448     -1.9%
BM_Matmul_4_1500_512_32                 155150    149538     +3.6%
BM_Matmul_4_1500_512_44                 193842    149777    +22.7%
BM_Matmul_4_1500_512_88                 149544    154468     -3.3%
 2018-09-26 16:47:13 -07:00
Eugene Zhulenev
71cd3fbd6a Support multiple contraction kernel types in TensorContractionThreadPool 2018-09-26 11:08:47 -07:00
Christoph Hertzberg
2c083ace3e Provide EIGEN_OVERRIDE and EIGEN_FINAL macros to mark virtual function overrides 2018-09-24 18:01:17 +02:00
Gael Guennebaud
c696dbcaa6 Fiw shadowing of last and all 2018-09-21 23:02:33 +02:00
Rasmus Munk Larsen
8e2be7777e Merged eigen/eigen into default 2018-09-20 11:41:15 -07:00
Rasmus Munk Larsen
5d2e759329 Initialize BlockIteratorState in a C++03 compatible way. 2018-09-20 11:40:43 -07:00
Gael Guennebaud
e04faca930 merge 2018-09-20 18:33:54 +02:00
Gael Guennebaud
3c6dc93f99 Fix GPU support. 2018-09-20 18:29:21 +02:00
Gael Guennebaud
9419f506d0 Fix regression introduced by the previous fix for AVX512. 
It brokes the complex-complex case on SSE.
 2018-09-20 17:32:34 +02:00
Christoph Hertzberg
a0166ab651 Workaround for spurious "array subscript is above array bounds" warnings with g++4.x 2018-09-20 17:08:43 +02:00
Gael Guennebaud
71496b0e25 Fix gebp kernel for real+complex in case only reals are vectorized (e.g., AVX512). 
This commit also removes "half-packet" from data-mappers: it was not used and conceptually broken anyways.
 2018-09-20 17:01:24 +02:00
Rasmus Munk Larsen
44d8274383 Cast to longer type. 2018-09-19 13:31:42 -07:00
Rasmus Munk Larsen
d638b62dda Silence compiler warning. 2018-09-19 13:27:55 -07:00
Rasmus Munk Larsen
db9c9df59a Silence more compiler warnings. 2018-09-19 11:50:27 -07:00
Rasmus Munk Larsen
febd09dcc0 Silence compiler warnings in ThreadPoolInterface.h. 2018-09-19 11:11:04 -07:00
luz.paz"
f67b19a884 [PATCH 1/2] Misc. typos 
From 68d431b4c14ad60a778ee93c1f59ecc4b931950e Mon Sep 17 00:00:00 2001
Found via `codespell -q 3 -I ../eigen-word-whitelist.txt` where the whitelists consists of:
```
als
ans
cas
dum
lastr
lowd
nd
overfl
pres
preverse
substraction
te
uint
whch
```
---
 CMakeLists.txt                                | 26 +++++++++----------
 Eigen/src/Core/GenericPacketMath.h            |  2 +-
 Eigen/src/SparseLU/SparseLU.h                 |  2 +-
 bench/bench_norm.cpp                          |  2 +-
 doc/HiPerformance.dox                         |  2 +-
 doc/QuickStartGuide.dox                       |  2 +-
 .../Eigen/CXX11/src/Tensor/TensorChipping.h   |  6 ++---
 .../Eigen/CXX11/src/Tensor/TensorDeviceGpu.h  |  2 +-
 .../src/Tensor/TensorForwardDeclarations.h    |  4 +--
 .../src/Tensor/TensorGpuHipCudaDefines.h      |  2 +-
 .../Eigen/CXX11/src/Tensor/TensorReduction.h  |  2 +-
 .../CXX11/src/Tensor/TensorReductionGpu.h     |  2 +-
 .../test/cxx11_tensor_concatenation.cpp       |  2 +-
 unsupported/test/cxx11_tensor_executor.cpp    |  2 +-
 14 files changed, 29 insertions(+), 29 deletions(-)
 2018-09-18 04:15:01 -04:00
Eugene Zhulenev
c4627039ac Support static dimensions (aka IndexList) in Tensor::resize(...) 2018-09-18 14:25:21 -07:00
Eugene Zhulenev
218a7b9840 Enable DSizes type promotion with c++03 compilers 2018-09-18 10:57:00 -07:00
Ravi Kiran
1f0c941c3d Collapsed revision 
* Merged eigen/eigen into default
 2018-09-17 18:29:12 -07:00
Rasmus Munk Larsen
03a88c57e1 Merged in ezhulenev/eigen-02 (pull request PR-498) 
Add DSizes index type promotion
 2018-09-17 21:58:38 +00:00
Rasmus Munk Larsen
5ca0e4a245 Merged in ezhulenev/eigen-01 (pull request PR-497) 
Fix warnings in IndexList array_prod
 2018-09-17 20:15:06 +00:00
Eugene Zhulenev
a5cd4e9ad1 Replace deprecated Eigen::DenseIndex with Eigen::Index in TensorIndexList 2018-09-17 10:58:07 -07:00
Gael Guennebaud
b311bfb752 bug #1596: fix inclusion of Eigen's header within unsupported modules. 2018-09-17 09:54:29 +02:00
Gael Guennebaud
72f19c827a typo 2018-09-16 22:10:34 +02:00
Eugene Zhulenev
66f056776f Add DSizes index type promotion 2018-09-15 15:17:38 -07:00
Eugene Zhulenev
f313126dab Fix warnings in IndexList array_prod 2018-09-15 13:47:54 -07:00
Christoph Hertzberg
42705ba574 Fix weird error for building with g++-4.7 in C++03 mode. 2018-09-15 12:43:41 +02:00
Rasmus Munk Larsen
c2383f95af Merged in ezhulenev/eigen/fix_dsizes (pull request PR-494) 
Fix DSizes IndexList constructor
 2018-09-15 02:36:19 +00:00
Rasmus Munk Larsen
30290cdd56 Merged in ezhulenev/eigen/moar_eigen_fixes_3 (pull request PR-493) 
Const cast scalar pointer in TensorSlicingOp evaluator

Approved-by: Sameer Agarwal <sameeragarwal@google.com>
 2018-09-15 02:35:07 +00:00
Eugene Zhulenev
f7d0053cf0 Fix DSizes IndexList constructor 2018-09-14 19:19:13 -07:00
Rasmus Munk Larsen
601e289d27 Merged in ezhulenev/eigen/moar_eigen_fixes_1 (pull request PR-492) 
Explicitly construct tensor block dimensions from evaluator dimensions
 2018-09-15 01:36:21 +00:00
Eugene Zhulenev
71070a1e84 Const cast scalar pointer in TensorSlicingOp evaluator 2018-09-14 17:17:50 -07:00
Eugene Zhulenev
4863375723 Explicitly construct tensor block dimensions from evaluator dimensions 2018-09-14 16:55:05 -07:00
Rasmus Munk Larsen
14e35855e1 Merged in chtz/eigen-maxsizevector (pull request PR-490) 
Let MaxSizeVector respect alignment of objects

Approved-by: Rasmus Munk Larsen <rmlarsen@google.com>
 2018-09-14 23:29:24 +00:00
Eugene Zhulenev
1b8d70a22b Support reshaping with static shapes and dimensions conversion in tensor broadcasting 2018-09-14 15:25:27 -07:00
Christoph Hertzberg
007f165c69 bug #1598: Let MaxSizeVector respect alignment of objects and add a unit test 
Also revert 8b3d9ed081
 2018-09-14 20:21:56 +02:00
Rasmus Munk Larsen
6313dde390 Fix merge error. 2018-09-13 16:42:05 -07:00
Rasmus Munk Larsen
0db590d22d Backed out changeset 01197e4452 2018-09-13 16:20:57 -07:00
Rasmus Munk Larsen
b3f4c067d9 Merge 2018-09-13 16:18:52 -07:00
Rasmus Munk Larsen
2b07018140 Enable vectorized version on GPUs. The underlying bug has been fixed. 2018-09-13 16:12:22 -07:00
Rasmus Munk Larsen
53568e3549 Merged in ezhulenev/eigen/tiled_evalution_support (pull request PR-444) 
Tiled evaluation for Tensor ops

Approved-by: Rasmus Munk Larsen <rmlarsen@google.com>
Approved-by: Gael Guennebaud <g.gael@free.fr>
 2018-09-13 22:05:47 +00:00
Eugene Zhulenev
01197e4452 Fix warnings 2018-09-13 15:03:36 -07:00
Gael Guennebaud
7f3b17e403 MSVC 2015 supports c++11 thread-local-storage 2018-09-13 18:15:07 +02:00
Rasmus Munk Larsen
e289f44c56 Don't vectorize the MeanReducer unless pdiv is available. 2018-09-11 14:09:00 -07:00
Eugene Zhulenev
55bb7e7935 Merge with upstream eigen/default 2018-09-11 13:33:06 -07:00
Eugene Zhulenev
81b38a155a Fix compilation of tiled evaluation code with c++03 2018-09-11 13:32:32 -07:00
Rasmus Munk Larsen
46f88fc454 Use numerically stable tree reduction in TensorReduction. 2018-09-11 10:08:10 -07:00
Deven Desai
c64fe9ea1f Updates to fix HIP-clang specific compile errors. 
Compiling the eigen unittests with hip-clang (HIP with clang as the underlying compiler instead of hcc or nvcc), results in compile errors. The changes in this commit fix those compile errors. The main change is to convert a few instances of "__device__" to "EIGEN_DEVICE_FUNC"
 2018-08-30 20:22:16 +00:00
Rasmus Munk Larsen
8b3d9ed081 Use padding instead of alignment attribute, which MaxSizeVector does not respect. This leads to undefined behavior and hard-to-trace bugs. 2018-09-05 11:20:06 -07:00
Eugene Zhulenev
c144bb355b Merge with upstream eigen/default 2018-08-27 14:34:07 -07:00
Christoph Hertzberg
b1653d1599 Fix some trivial C++11 vs C++03 compatibility warnings 2018-08-25 12:21:00 +02:00
Christoph Hertzberg
5aaedbeced Fixed more sign-compare and type-limits warnings 2018-08-24 23:54:12 +02:00
Christoph Hertzberg
f7675b826b Fix several integer conversion and sign-compare warnings 2018-08-24 22:58:55 +02:00
Rasmus Munk Larsen
744e2fe0de Address comments about EIGEN_THREAD_LOCAL. 2018-08-24 10:24:54 -07:00
Rasmus Munk Larsen
8d9bc5cc02 Fix g++ compilation. 2018-08-23 13:06:39 -07:00
Rasmus Munk Larsen
e9f9d70611 Don't rely on __had_feature for g++. 
Don't use __thread.
Only use thread_local for gcc 4.8 or newer.
 2018-08-23 12:59:46 -07:00
Rasmus Munk Larsen
668690978f Pad PerThread when we emulate thread_local to prevent false sharing. 2018-08-23 12:54:33 -07:00
Rasmus Munk Larsen
6cedc5a9b3 rename mu. 2018-08-23 12:11:58 -07:00
Rasmus Munk Larsen
6e0464004a Store std::unique_ptr instead of raw pointers in per_thread_map_. 2018-08-23 12:10:08 -07:00
Rasmus Munk Larsen
e51d9e473a Protect #undef max with #ifdef max. 2018-08-23 11:42:05 -07:00
Rasmus Munk Larsen
d35880ed91 merge 2018-08-23 11:36:49 -07:00
Christoph Hertzberg
a709c8efb4 Replace pointers by values or unique_ptr for better leak-safety 2018-08-23 19:41:59 +02:00
Christoph Hertzberg
39335cf51e Make MaxSizeVector leak-safe 2018-08-23 19:37:56 +02:00
Benoit Steiner
19df4d5752 Merged in codeplaysoftware/eigen-upstream-pure/Pointer_type_creation (pull request PR-461) 
Creating a pointer type in TensorCustomOp.h
 2018-08-16 18:28:33 +00:00
Benoit Steiner
f641cf1253 Adding missing at method in Eigen::array 2018-08-16 11:24:37 -07:00
Benoit Steiner
e23c8c294e Use actual types instead of the auto keyword to make the code more portable 2018-08-16 10:41:01 -07:00
Mehdi Goli
80f1a76dec removing the noises. 2018-08-16 13:33:24 +01:00
Mehdi Goli
d0b01ebbf6 Reverting the unitended delete from the code. 2018-08-16 13:21:36 +01:00
Mehdi Goli
161dcbae9b Using PointerType struct and specializing it per device for TensorCustomOp.h 2018-08-16 00:07:02 +01:00
Sameer Agarwal
f197c3f55b Removed an used variable (PacketSize) from TensorExecutor 2018-08-15 11:24:57 -07:00
Benoit Steiner
4181556907 Fixed the tensor contraction code. 2018-08-15 09:34:47 -07:00
Benoit Steiner
fbb834144d Fixed more compilation errors 2018-08-15 08:52:58 -07:00
Benoit Steiner
ab3f481141 Cleaned up the code and make it compile with more compilers 2018-08-14 14:05:46 -07:00
Rasmus Munk Larsen
fa0bcbf230 merge 2018-08-14 12:18:31 -07:00
Rasmus Munk Larsen
15d4f515e2 Use plain_assert in destructors to avoid throwing in CXX11 tests where main.h owerwrites eigen_assert with a throwing version. 2018-08-14 12:17:46 -07:00
Rasmus Munk Larsen
2a98bd9c8e Merged eigen/eigen into default 2018-08-14 12:02:09 -07:00
Benoit Steiner
59bba77ead Fixed compilation errors with gcc 4.7 and 4.8 2018-08-14 10:54:48 -07:00
Mehdi Goli
8ba799805b Merge with upstream 2018-08-14 09:43:45 +01:00
Rasmus Munk Larsen
6d6e7b7027 merge 2018-08-13 15:34:50 -07:00
Rasmus Munk Larsen
9bb75d8d31 Add Barrier.h. 2018-08-13 15:34:03 -07:00
Rasmus Munk Larsen
2e1adc0324 Merged eigen/eigen into default 2018-08-13 15:32:00 -07:00
Rasmus Munk Larsen
8278ae6313 Add support for thread local support on platforms that do not support it through emulation using a hash map. 2018-08-13 15:31:23 -07:00
Benoit Steiner
501be70b27 Code cleanup 2018-08-13 15:16:40 -07:00
Gael Guennebaud
3ec60215df Merged in rmlarsen/eigen2 (pull request PR-466) 
Move sigmoid functor to core and rename it to 'logistic'.
 2018-08-13 21:28:20 +00:00
Rasmus Munk Larsen
0f1b2e08a5 Call logistic functor from Tensor::sigmoid. 2018-08-13 11:52:58 -07:00
Benoit Steiner
26239ee580 Use NULL instead of nullptr to avoid adding a cxx11 requirement. 2018-08-13 11:05:51 -07:00
Benoit Steiner
3810ec228f Don't use the auto keyword since it's not always supported properly. 2018-08-13 10:46:09 -07:00
Benoit Steiner
e6d5be811d Fixed syntax of nested templates chevrons to make it compatible with c++97 mode. 2018-08-13 10:29:21 -07:00
Mehdi Goli
1aa86aad14 Merge with upstream. 2018-08-13 15:40:31 +01:00
Eugene Zhulenev
35d90e8960 Fix BlockAccess enum in CwiseUnaryOp evaluator 2018-08-10 17:37:58 -07:00
Eugene Zhulenev
855b68896b Merge with eigen/default 2018-08-10 17:18:42 -07:00
Eugene Zhulenev
f2209d06e4 Add block evaluationto CwiseUnaryOp and add PreferBlockAccess enum to all evaluators 2018-08-10 16:53:36 -07:00
Benoit Steiner
c8ea398675 Avoided language features that are only available in cxx11 mode. 2018-08-10 13:02:41 -07:00
Benoit Steiner
4be4286224 Made the code compile with gcc 5.4. 2018-08-10 11:32:58 -07:00
Eugene Zhulenev
cfaedb38cd Fix bug in a test + compilation errors 2018-08-09 09:44:07 -07:00
Mehdi Goli
ea8fa5e86f Merge with upstream 2018-08-09 14:07:56 +01:00
Mehdi Goli
8c083bfd0e Properly fixing the PointerType for TensorCustomOp.h. As the output type here should be based on CoeffreturnType not the Scalar type. Therefore, Similar to reduction and evalTo function, it should have its own MakePointer class. In this case, for other device the type is defaulted to CoeffReturnType and no changes is required on users' code. However, in SYCL, on the device, we can recunstruct the device Type. 2018-08-09 13:57:43 +01:00
Eugene Zhulenev
1c8b9e10a7 Merged with upstream eigen 2018-08-08 16:57:58 -07:00
Benoit Steiner
131ed1191f Merged in codeplaysoftware/eigen-upstream-pure/Fixing_compiler_warning (pull request PR-462) 
Fixing compiler warning in TensorBlock.h as it was creating a lot of noise at compilation.
 2018-08-08 18:14:15 +00:00
Mehdi Goli
532a0be05c Fixing compiler warning in TensorBlock.h as it was creating a lot of noise at compilation. 2018-08-08 12:12:26 +01:00
Mehdi Goli
3055e3a7c2 Creating a pointer type in TensorCustomOp.h 2018-08-08 11:19:02 +01:00
Rasmus Munk Larsen
693fb1d41e Fix init order. 2018-08-07 17:18:51 -07:00
Benoit Steiner
10d286f55b Silenced a couple of compilation warnings. 2018-08-06 16:00:29 -07:00
Benoit Steiner
d011d05fd6 Fixed compilation errors. 2018-08-06 13:40:51 -07:00
Rasmus Munk Larsen
36e7e7dd8f Forward declare NoOpOutputKernel as struct rather than class to be consistent with implementation. 2018-08-06 13:16:32 -07:00
Rasmus Munk Larsen
fa68342ef8 Move sigmoid functor to core. 2018-08-03 17:31:23 -07:00
Christoph Hertzberg
023ed6b9a8 Product of empty array must be 1 and not 0. 2018-08-30 17:14:52 +02:00
Christoph Hertzberg
c2f4e8c08e Fix integer conversion warning 2018-08-30 17:12:53 +02:00
Deven Desai
946c3e2544 adding EIGEN_DEVICE_FUNC attribute to fix some GPU unit tests that are broken in HIP mode 2018-08-27 23:04:08 +00:00
Christoph Hertzberg
73ca600bca Fix numerous shadow-warnings for GCC<=4.8 2018-08-28 18:32:39 +02:00
Eugene Zhulenev
1b0373ae10 Replace all using declarations with typedefs in Tensor ops 2018-08-01 15:55:46 -07:00
Rasmus Munk Larsen
bcb29f890c Fix initialization order. 2018-08-03 10:18:53 -07:00
Mehdi Goli
3074b1ff9e Fixing the compilation error. 2018-08-03 17:13:44 +01:00
Mehdi Goli
01358300d5 Creating separate SYCL required PR for uncontroversial files. 2018-08-03 16:59:15 +01:00
Eugene Zhulenev
64abdf1d7e Fix typo + get rid of redundant member variables for block sizes 2018-08-01 12:35:19 -07:00
Benoit Steiner
93b9e36e10 Merged in paultucker/eigen (pull request PR-431) 
Optional ThreadPoolDevice allocator

Approved-by: Benoit Steiner <benoit.steiner.goog@gmail.com>
 2018-08-01 19:14:34 +00:00
Eugene Zhulenev
385b3ff12f Merged latest changes from upstream/eigen 2018-08-01 11:59:04 -07:00
Benoit Steiner
17221115c9 Merged in codeplaysoftware/eigen-upstream-pure/eigen_variadic_assert (pull request PR-447) 
Adding variadic version of assert which can take a parameter pack as its input.
 2018-08-01 16:41:54 +00:00
Benoit Steiner
0360c36170 Merged in codeplaysoftware/eigen-upstream-pure/separating_internal_memory_allocation (pull request PR-446) 
Distinguishing between internal memory allocation/deallocation from explicit user memory allocation/deallocation.
 2018-08-01 16:13:15 +00:00
Mehdi Goli
c6a5c70712 Correcting the position of allocate_temp/deallocate_temp in TensorDeviceGpu.h 2018-08-01 16:56:26 +01:00
Benoit Steiner
45f75f1ace Merged in codeplaysoftware/eigen-upstream-pure/using_PacketType_class (pull request PR-449) 
Enabling per device specialisation of packetSize.
 2018-08-01 15:43:03 +00:00
Mehdi Goli
af96018b49 Using the suggested modification. 2018-08-01 16:04:44 +01:00
Mehdi Goli
b512a9536f Enabling per device specialisation of packetsize. 2018-08-01 13:39:13 +01:00
Mehdi Goli
3a197a60e6 variadic version of assert which can take a parameter pack as its input. 2018-08-01 12:19:14 +01:00
Mehdi Goli
d7a8414848 Distinguishing between internal memory allocation/deallocation from explicit user memory allocation/deallocation. 2018-08-01 11:56:30 +01:00
Mehdi Goli
9e219bb3d3 Converting ad-hoc inline keyword to EIGEN_STRONG_INLINE MACRO. 2018-08-01 10:47:49 +01:00
Eugene Zhulenev
83c0a16baf Add block evaluation support to TensorOps 2018-07-31 15:56:31 -07:00
Benoit Steiner
edf46bd7a2 Merged in yuefengz/eigen (pull request PR-370) 
Use device's allocate function instead of internal::aligned_malloc.
 2018-07-31 22:38:28 +00:00
Paul Tucker
385f7b8d0c Change getAllocator() to allocator() in ThreadPoolDevice. 2018-07-31 13:52:18 -07:00
Mark D Ryan
6f5b126e6d Fix tensor contraction for AVX512 machines 
This patch modifies the TensorContraction class to ensure that the kc_ field is
always a multiple of the packet_size, if the packet_size is > 8.  Without this
change spatial convolutions in Tensorflow do not work properly as the code that
re-arranges the input matrices can assert if kc_ is not a multiple of the
packet_size.  This leads to a unit test failure,
//tensorflow/python/kernel_tests:conv_ops_test, on AVX512 builds of tensorflow.
 2018-07-31 09:33:37 +01:00
Gael Guennebaud
678a0dcb12 Merged in ezhulenev/eigen/tiling_3 (pull request PR-438) 
Tiled tensor executor
 2018-07-31 08:13:00 +00:00
Gael Guennebaud
679eece876 Speedup trivial tensor broadcasting on GPU by enforcing unaligned loads. See PR 437. 2018-07-31 10:10:14 +02:00
Eugene Zhulenev
966c2a7bb6 Rename Index to StorageIndex + use Eigen::Array and Eigen::Map when possible 2018-07-27 12:45:17 -07:00
Eugene Zhulenev
6913221c43 Add tiled evaluation support to TensorExecutor 2018-07-25 13:51:10 -07:00
Rasmus Munk Larsen
e478532625 Reduce the number of template specializations of classes related to tensor contraction to reduce binary size. 2018-07-27 12:36:34 -07:00
Eugene Zhulenev
d55efa6f0f TensorBlockIO 2018-07-23 15:50:55 -07:00
Eugene Zhulenev
34a75c3c5c Initial support of TensorBlock 2018-07-20 17:37:20 -07:00
Paul Tucker
d4afccde5a Add test coverage for ThreadPoolDevice optional allocator. 2018-07-19 17:43:44 -07:00
Eugene Zhulenev
c58b874727 PR430: Convert count to the reducer type in MeanReducer 
Without explicit conversion Tensorflow fails to compile, pset1 template deduction fails.

cannot convert '((const Eigen::internal::MeanReducer<Eigen::half>*)this)
  ->Eigen::internal::MeanReducer<Eigen::half>::packetCount_'
(type 'const DenseIndex {aka const long int}')
to type 'const type& {aka const Eigen::half&}'
     return pdiv(vaccum, pset1<Packet>(packetCount_));
Honestly I’m not sure why it works in Eigen tests, because Eigen::half constructor is explicit, and why it stopped working in TF, I didn’t find any relevant changes since previous Eigen upgrade.

static_cast<T>(packetCount_) - breaks cxx11_tensor_reductions test for Eigen::half, also quite surprising.
 2018-07-19 17:37:03 -07:00
Paul Tucker
4e9848fa86 Actually add optional Allocator* arg to ThreadPoolDevice(). 2018-07-16 17:53:36 -07:00
Paul Tucker
b3e7c9132d Add optional Allocator argument to ThreadPoolDevice constructor. 
When supplied, this allocator will be used in place of
internal::aligned_malloc.  This permits e.g. use of a NUMA-node specific
allocator where the thread-pool is also restricted a single NUMA-node.
 2018-07-16 17:26:05 -07:00
Rasmus Munk Larsen
3a9cf4e290 Get rid of alias for m_broadcast. 2018-07-13 16:24:48 -07:00
Rasmus Munk Larsen
4222550e17 Optimize the case where broadcasting is a no-op. 2018-07-13 16:12:38 -07:00
Gael Guennebaud
06eb24cf4d Introduce gpu_assert for assertion in device-code, and disable them with clang-cuda. 2018-07-13 16:04:27 +02:00
Eugene Zhulenev
6e654f3379 Reduce number of allocations in TensorContractionThreadPool. 2018-07-16 14:26:39 -07:00
Gael Guennebaud
7ccb623746 bug #1569: fix Tensor<half>::mean() on AVX with respective unit test. 2018-07-19 13:15:40 +02:00
Eugene Zhulenev
e3c2d61739 Assert that no output kernel is defined for GPU contraction 2018-07-18 14:34:22 -07:00
Eugene Zhulenev
79d4129cce Specify default output kernel for TensorContractionOp 2018-07-18 14:21:01 -07:00
Yuefeng Zhou
1eff6cf8a7 Use device's allocate function instead of internal::aligned_malloc. This would make it easier to track memory usage in device instances. 2018-02-20 16:50:05 -08:00
Gael Guennebaud
6cd6551b26 Add deprecated header files for TensorFlow 2018-07-12 10:50:53 +02:00
Deven Desai
876f392c39 Updates corresponding to the latest round of PR feedback 
The major changes are

1. Moving CUDA/PacketMath.h to GPU/PacketMath.h
2. Moving CUDA/MathFunctions.h to GPU/MathFunction.h
3. Moving CUDA/CudaSpecialFunctions.h to GPU/GpuSpecialFunctions.h
    The above three changes effectively enable the Eigen "Packet" layer for the HIP platform

4. Merging the "hip_basic" and "cuda_basic" unit tests into one ("gpu_basic")
5. Updating the "EIGEN_DEVICE_FUNC" marking in some places

The change has been tested on the HIP and CUDA platforms.
 2018-07-11 10:39:54 -04:00
Deven Desai
38807a2575 merging updates from upstream 2018-07-11 09:17:33 -04:00
Gael Guennebaud
6190aa5632 bug #1567: add optimized path for tensor broadcasting and 'Channel First' shape 2018-07-09 11:23:16 +02:00
Deven Desai
1bb6fa99a3 merging the CUDA and HIP implementation for the Tensor directory and the unit tests 2018-06-20 16:44:58 -04:00
Deven Desai
cfdabbcc8f removing the *Hip files from the unsupported/Eigen/CXX11/src/Tensor and unsupported/test directories 2018-06-20 12:57:02 -04:00
Deven Desai
7e41c8f1a9 renaming *Cuda files to *Gpu in the unsupported/Eigen/CXX11/src/Tensor and unsupported/test directories 2018-06-20 12:52:30 -04:00
Deven Desai
b6cc0961b1 updates based on PR feedback 
There are two major changes (and a few minor ones which are not listed here...see PR discussion for details)

1. Eigen::half implementations for HIP and CUDA have been merged.
This means that
- `CUDA/Half.h` and `HIP/hcc/Half.h` got merged to a new file `GPU/Half.h`
- `CUDA/PacketMathHalf.h` and `HIP/hcc/PacketMathHalf.h` got merged to a new file `GPU/PacketMathHalf.h`
- `CUDA/TypeCasting.h` and `HIP/hcc/TypeCasting.h` got merged to a new file `GPU/TypeCasting.h`

After this change the `HIP/hcc` directory only contains one file `math_constants.h`. That will go away too once that file becomes a part of the HIP install.

2. new macros EIGEN_GPUCC, EIGEN_GPU_COMPILE_PHASE and EIGEN_HAS_GPU_FP16 have been added and the code has been updated to use them where appropriate.
- `EIGEN_GPUCC` is the same as `(EIGEN_CUDACC || EIGEN_HIPCC)`
- `EIGEN_GPU_DEVICE_COMPILE` is the same as `(EIGEN_CUDA_ARCH || EIGEN_HIP_DEVICE_COMPILE)`
- `EIGEN_HAS_GPU_FP16` is the same as `(EIGEN_HAS_CUDA_FP16 or EIGEN_HAS_HIP_FP16)`
 2018-06-14 10:21:54 -04:00
Deven Desai
d1d22ef0f4 syncing this fork with upstream 2018-06-13 12:09:52 -04:00
Rasmus Munk Larsen
5418154a45 Fix oversharding bug in parallelFor. 2018-06-20 17:51:48 -07:00
Michael Figurnov
30fa3d0454 Merge from eigen/eigen 2018-06-07 17:57:56 +01:00
Gael Guennebaud
b3fd93207b Fix typos found using codespell 2018-06-07 14:43:02 +02:00
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
Deven Desai
8fbd47052b Adding support for using Eigen in HIP kernels. 
This commit enables the use of Eigen on HIP kernels / AMD GPUs. Support has been added along the same lines as what already exists for using Eigen in CUDA kernels / NVidia GPUs.

Application code needs to explicitly define EIGEN_USE_HIP when using Eigen in HIP kernels. This is because some of the CUDA headers get picked up by default during Eigen compile (irrespective of whether or not the underlying compiler is CUDACC/NVCC, for e.g. Eigen/src/Core/arch/CUDA/Half.h). In order to maintain this behavior, the EIGEN_USE_HIP macro is used to switch to using the HIP version of those header files (see Eigen/Core and unsupported/Eigen/CXX11/Tensor)


Use the "-DEIGEN_TEST_HIP" cmake option to enable the HIP specific unit tests.
 2018-06-06 10:12:58 -04:00
Benoit Steiner
e206f8d4a4 Merged in mfigurnov/eigen (pull request PR-400) 
Exponentially scaled modified Bessel functions of order zero and one.

Approved-by: Benoit Steiner <benoit.steiner.goog@gmail.com>
 2018-06-05 17:05:21 +00:00
Penporn Koanantakool
e2ed0cf8ab Add a ThreadPoolInterface* getter for ThreadPoolDevice. 2018-06-02 12:07:49 -07:00
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
Katrin Leinweber
ea94543190 Hyperlink DOIs against preferred resolver 2018-05-24 18:55:40 +02:00
Vamsi Sripathi
6293ad3f39 Performance improvements to tensor broadcast operation 
1. Added new packet functions using SIMD for NByOne, OneByN cases
  2. Modified existing packet functions to reduce index calculations when input stride is non-SIMD
  3. Added 4 test cases to cover the new packet functions
 2018-05-23 14:02:05 -07:00
Benoit Steiner
0371380d5b Merged in rmlarsen/eigen2 (pull request PR-393) 
Rename scalar_clip_op to scalar_clamp_op to prevent collision with existing functor in TensorFlow.
 2018-05-16 21:45:42 +00:00
Rasmus Munk Larsen
b8d36774fa Rename clip2 to clamp. 2018-05-16 14:04:48 -07:00
Rasmus Munk Larsen
812480baa3 Rename scalar_clip_op to scalar_clip2_op to prevent collision with existing functor in TensorFlow. 2018-05-16 09:49:24 -07:00
Benoit Steiner
1403c2c15b Merged in didierjansen/eigen (pull request PR-360) 
Fix bugs and typos in the contraction example of the tensor README
 2018-05-16 01:16:36 +00:00
Rasmus Munk Larsen
b8c8e5f436 Add vectorized clip functor for Eigen Tensors. 2018-05-14 16:07:13 -07:00
Benoit Steiner
6118c6ff4f Enable RawAccess to tensor slices whenever possinle. 
Avoid 32-bit integer overflow in TensorSlicingOp
 2018-04-30 11:28:12 -07:00
Weiming Zhao
b0eda3cb9f Avoid using memcpy for non-POD elements 2018-04-11 11:37:06 +02:00
Viktor Csomor
000840cae0 Added a move constructor and move assignment operator to Tensor and wrote some tests. 2018-02-07 19:10:54 +01:00
Eugene Zhulenev
c95aacab90 Fix TensorContractionOp evaluators for GPU and SYCL 2018-07-17 14:09:37 -07:00
Deven Desai
f124f07965 applying EIGEN_DECLARE_TEST to *gpu* tests 
Also, a few minor fixes for GPU tests running in HIP mode.

1. Adding an include for hip/hip_runtime.h in the Macros.h file
   For HIP __host__ and __device__ are macros which are defined in hip headers.
   Their definitions need to be included before their use in the file.

2. Fixing the compile failure in TensorContractionGpu introduced by the commit to
   "Fuse computations into the Tensor contractions using output kernel"

3. Fixing a HIP/clang specific compile error by making the struct-member assignment explicit
 2018-07-17 14:16:48 -04:00
Eugene Zhulenev
43206ac4de Call OutputKernel in evalGemv 2018-07-12 14:52:23 -07:00
Eugene Zhulenev
e204ecdaaf Remove SimpleThreadPool and always use {NonBlocking}ThreadPool 2018-07-16 15:06:57 -07:00
Eugene Zhulenev
01fd4096d3 Fuse computations into the Tensor contractions using output kernel 2018-07-10 13:16:38 -07:00
Benoit Steiner
8f55956a57 Update the padding computation for PADDING_SAME to be consistent with TensorFlow. 2018-01-30 20:22:12 +00:00
Lee.Deokjae
5b3c367926 Fix typos in the contraction example of tensor README 2018-01-06 14:36:19 +09:00
RJ Ryan
59985cfd26 Disable use of recurrence for computing twiddle factors. Fixes FFT precision issues for large FFTs. https://github.com/tensorflow/tensorflow/issues/10749#issuecomment-354557689 2017-12-31 10:44:56 -05:00
Gael Guennebaud
73214c4bd0 Workaround nvcc 9.0 issue. See PR 351. 
https://bitbucket.org/eigen/eigen/pull-requests/351
 2017-12-15 14:10:59 +01:00
Yangzihao Wang
3122477c86 Update the padding computation for PADDING_SAME to be consistent with TensorFlow. 2017-12-12 11:15:24 -08:00
Benoit Steiner
3949615176 Merged in JonasMu/eigen (pull request PR-329) 
Added an example for a contraction to a scalar value to README.md

Approved-by: Jonas Harsch <jonas.harsch@gmail.com>
 2017-10-27 07:27:46 +00:00
Benoit Steiner
8eb4b9d254 Merged in benoitsteiner/opencl (pull request PR-341) 2017-10-17 16:39:28 +00:00
Rasmus Munk Larsen
f349507e02 Specialize ThreadPoolDevice::enqueueNotification for the case with no args. As an example this reduces binary size of an TensorFlow demo app for Android by about 2.5%. 2017-10-13 15:58:12 -07:00
Mehdi Goli
2062ac9958 Changes required for new ComputeCpp CE version. 2017-09-18 18:17:39 +01:00
Rasmus Munk Larsen
1b7294f6fc Fix cut-and-paste error. 2017-09-08 16:35:58 -07:00
Rasmus Munk Larsen
94e2213b38 Avoid undefined behavior in Eigen::TensorCostModel::numThreads. 
If the cost is large enough then the thread count can be larger than the maximum
representable int, so just casting it to an int is undefined behavior.

Contributed by phurst@google.com.
 2017-09-08 15:49:55 -07:00
Jonas Harsch
a991c80365 Added an example for a contraction to a scalar value, e.g. a double contraction of two second order tensors and how you can get the value of the result. I lost one day to get this doen so I think it will help some guys. I also added Eigen:: to the IndexPair and and array in the same example. 2017-09-01 11:30:26 +00:00
Benoit Steiner
a4089991eb Added support for CUDA 9.0. 2017-08-31 02:49:39 +00:00
Benoit Steiner
84d7be103a Fixing Argmax that was breaking upstream TensorFlow. 2017-07-22 03:19:34 +00:00
Benoit Steiner
f0b154a4b0 Code cleanup 2017-07-10 09:54:09 -07:00
Benoit Steiner
575cda76b3 Fixed syntax errors generated by xcode 2017-07-09 11:39:01 -07:00
Benoit Steiner
5ac27d5b51 Avoid relying on cxx11 features when possible. 2017-07-08 21:58:44 -07:00
Benoit Steiner
c5a241ab9b Merged in benoitsteiner/opencl (pull request PR-323) 
Improved support for OpenCL
 2017-07-07 16:27:33 +00:00
Benoit Steiner
b7ae4dd9ef Merged in hughperkins/eigen/add-endif-labels-TensorReductionCuda.h (pull request PR-315) 
Add labels to #ifdef, in TensorReductionCuda.h
 2017-07-07 04:23:52 +00:00
Benoit Steiner
9daed67952 Merged in tntnatbry/eigen (pull request PR-319) 
Tensor Trace op
 2017-07-07 04:18:03 +00:00
Benoit Steiner
6795512e59 Improved the randomness of the tensor random generator 2017-07-06 21:12:45 -07:00
Benoit Steiner
dc524ac716 Fixed compilation warning 2017-07-06 21:11:15 -07:00
Benoit Steiner
62b4634ebe Merged in mehdi_goli/upstr_benoit/TensorSYCLImageVolumePatchFixed (pull request PR-14) 
Applying Benoit's comment for Fixing ImageVolumePatch.

* Applying Benoit's comment for Fixing ImageVolumePatch. Fixing conflict on cmake file.

* Fixing dealocation of the memory in ImagePatch test for SYCL.

* Fixing the automerge issue.
 2017-07-06 05:08:13 +00:00
Benoit Steiner
53725c10b8 Merged in mehdi_goli/opencl/DataDependancy (pull request PR-10) 
DataDependancy

* Wrapping data type to the pointer class for sycl in non-terminal nodes; not having that breaks Tensorflow Conv2d code.

* Applying Ronnan's Comments.

* Applying benoit's comments
 2017-06-28 17:55:23 +00:00
Hugh Perkins
9341f258d4 Add labels to #ifdef, in TensorReductionCuda.h 2017-06-06 15:51:06 +01:00
Benoit Steiner
1e736b9ead Merged in mehdi_goli/opencl/SYCLAlignAllocator (pull request PR-7) 
Fixing SYCL alignment issue required by TensorFlow.
 2017-05-26 17:23:00 +00:00
Benoit Steiner
9dee55ec33 Merged eigen/eigen into default 2017-05-26 09:01:04 -07:00
Mehdi Goli
0370d3576e Applying Ronnan's comments. 2017-05-26 16:01:48 +01:00
Mehdi Goli
e3f964ed55 Applying Benoit's comment;removing dead code. 2017-05-25 11:17:26 +01:00
a-doumoulakis
fb853a857a Restore misplaced comment 2017-05-24 17:50:15 +01:00
a-doumoulakis
7a8ba565f8 Merge changed from upstream 2017-05-24 17:45:29 +01:00
Mehdi Goli
76c0fc1f95 Fixing SYCL alignment issue required by TensorFlow. 2017-05-22 16:49:32 +01:00
Mehdi Goli
2d17128d6f Fixing suported device list. 2017-05-22 16:40:33 +01:00
a-doumoulakis
052426b824 Add support for triSYCL 
Eigen is now able to use triSYCL with EIGEN_SYCL_TRISYCL and TRISYCL_INCLUDE_DIR options

Fix contraction kernel with correct nd_item dimension
 2017-05-05 19:26:27 +01:00
RJ Ryan
949a2da38c Use scalar_sum_op and scalar_quotient_op instead of operator+ and operator/ in MeanReducer. 
Improves support for std::complex types when compiling for CUDA.

Expands on e2e9cdd169
 and 2bda1b0d93
.
 2017-04-14 13:23:35 -07:00
Benoit Steiner
0d08165a7f Merged in benoitsteiner/opencl (pull request PR-309) 
OpenCL improvements
 2017-04-05 14:28:08 +00:00
Benoit Steiner
c302ea7bc4 Deleted empty line of code 2017-04-04 10:05:16 -07:00
Benoit Steiner
a5a0c8fac1 Guard sycl specific code under a EIGEN_USE_SYCL ifdef 2017-04-04 10:03:21 -07:00
Benoit Steiner
a1304b95b7 Code cleanup 2017-04-04 10:00:46 -07:00
Benoit Steiner
66c63826bd Guard the sycl specific code with EIGEN_USE_SYCL 2017-04-04 09:59:09 -07:00
Benoit Steiner
e3e343390a Guard the sycl specific code with a #ifdef EIGEN_USE_SYCL 2017-04-04 09:56:33 -07:00
Benoit Steiner
63840d4666 iGate the sycl specific code under a EIGEN_USE_SYCL define 2017-04-04 09:54:31 -07:00
Benoit Steiner
bc050ea9f0 Fixed compilation error when sycl is enabled. 2017-04-04 09:47:04 -07:00
Gagan Goel
4910630c96 fix typos in the Tensor readme 2017-03-31 20:32:16 -04:00
Benoit Steiner
c1b3d5ecb6 Restored code compatibility with compilers that dont support c++11 
Gated more sycl code under #ifdef sycl
 2017-03-31 08:31:28 -07:00
Benoit Steiner
e2d5d4e7b3 Restore the old constructors to retain compatibility with non c++11 compilers. 2017-03-31 08:26:13 -07:00
Benoit Steiner
73fcaa319f Gate the sycl specific code under #ifdef sycl 2017-03-31 08:22:25 -07:00
Mehdi Goli
bd64ee8555 Fixing TensorArgMaxSycl.h; Removing warning related to the hardcoded type of dims to be int in Argmax. 2017-03-28 16:50:34 +01:00
Luke Iwanski
a91417a7a5 Introduces align allocator for SYCL buffer 2017-03-20 14:48:54 +00:00
Benoit Steiner
f8a622ef3c Merged eigen/eigen into default 2017-03-15 20:06:19 -07:00
Benoit Steiner
fd7db52f9b Silenced compilation warning 2017-03-15 20:02:39 -07:00
Luke Iwanski
c06861d15e Fixes bug in get_sycl_supported_devices() that was reporting unsupported Intel CPU on AMD platform - causing timeouts in that configuration 2017-03-15 19:26:08 +00:00
Benoit Steiner
f0f3591118 Made the reduction code compile with cuda-clang 2017-03-14 14:16:53 -07:00
Mehdi Goli
f499fe9496 Adding synchronisation to convolution kernel for sycl backend. 2017-03-13 09:18:37 +00:00