Commit Graph

1050 Commits

Author SHA1 Message Date
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
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
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
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
db9c9df59a Silence more compiler warnings. 2018-09-19 11:50:27 -07:00
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
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
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
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
Eugene Zhulenev
1b8d70a22b Support reshaping with static shapes and dimensions conversion in tensor broadcasting 2018-09-14 15:25:27 -07:00
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
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
Eugene Zhulenev
c144bb355b Merge with upstream eigen/default 2018-08-27 14:34:07 -07:00