Commit Graph

10106 Commits

Author SHA1 Message Date
Gael Guennebaud
649d4758a6 merge 2018-10-08 17:35:18 +02:00
Gael Guennebaud
aa5820056e Unify c++11 usage in doc's examples and snippets 2018-10-08 17:32:54 +02:00
Gael Guennebaud
e29bfe8479 Update included mpreal header to 3.6.5 and fix deprecated warnings. 2018-10-08 17:09:23 +02:00
Gael Guennebaud
64b1a15318 Workaround stupid warning 2018-10-08 12:01:18 +02:00
Gael Guennebaud
c9643f4a6f Disable C++11 deprecated warning when limiting Eigen to C++98 2018-10-08 10:43:43 +02:00
Gael Guennebaud
774bb9d6f7 fix a doxygen issue 2018-10-08 09:30:15 +02:00
Gael Guennebaud
6c3f6cd52b Fix maybe-uninitialized warning 2018-10-07 23:29:51 +02:00
Gael Guennebaud
bcb7c66b53 Workaround gcc's alloc-size-larger-than= warning 2018-10-07 21:55:59 +02:00
Gael Guennebaud
16b2001ece Fix gcc 8.1 warning: "maybe use uninitialized" 2018-10-07 21:54:49 +02:00
Gael Guennebaud
6512c5e136 Implement a better workaround for GCC's bug #87544 2018-10-07 15:00:05 +02:00
Gael Guennebaud
409132bb81 Workaround gcc bug making it trigger an invalid warning 2018-10-07 09:23:15 +02:00
Gael Guennebaud
c6a1ab4036 Workaround MSVC compilation issue 2018-10-06 13:49:17 +02:00
Gael Guennebaud
e21766c6f5 Clarify doc of rowwise/colwise/vectorwise. 2018-10-05 23:12:09 +02:00
Gael Guennebaud
d92f004ab7 Simplify API by removing allCols/allRows and reusing rowwise/colwise to define iterators over rows/columns 2018-10-05 23:11:21 +02:00
Gael Guennebaud
91613bf2c2 Add support for c++11 snippets 2018-10-05 23:08:39 +02:00
Gael Guennebaud
3e64b1fc86 Move iterators to internal, improve doc, make unit test c++03 friendly 2018-10-03 15:13:15 +02:00
Gael Guennebaud
2b2b4d0580 fix unused warning 2018-10-03 14:16:21 +02:00
Gael Guennebaud
8a1e98240e add unit tests 2018-10-03 11:56:27 +02:00
Gael Guennebaud
5f26f57598 Change the logic of A.reshaped<Order>() to be a simple alias to A.reshaped<Order>(AutoSize,fix<1>).
This means that now AutoOrder is allowed, and it always return a column-vector.
2018-10-03 11:41:47 +02:00
Gael Guennebaud
0481900e25 Add pointer-based iterator for direct-access expressions 2018-10-02 23:44:36 +02:00
Christoph Hertzberg
c5f1d0a72a Fix shadow warning 2018-10-02 19:01:08 +02:00
Christoph Hertzberg
b92c71235d Move struct outside of method for C++03 compatibility. 2018-10-02 18:59:10 +02:00
Christoph Hertzberg
051f9c1aff Make code compile in C++03 mode again 2018-10-02 18:36:30 +02:00
Christoph Hertzberg
b786ce8c72 Fix conversion warning ... again 2018-10-02 18:35:25 +02:00
Gael Guennebaud
8c38528168 Factorize RowsProxy/ColsProxy and related iterators using subVector<>(Index) 2018-10-02 14:03:26 +02:00
Gael Guennebaud
12487531ce Add templated subVector<Vertical/Horizonal>(Index) aliases to col/row(Index) methods (plus subVectors<>() to retrieve the number of rows/columns) 2018-10-02 14:02:34 +02:00
Gael Guennebaud
37e29fc893 Use Index instead of ptrdiff_t or int, fix random-accessors. 2018-10-02 13:29:32 +02:00
Gael Guennebaud
de2efbc43c bug #1605: workaround ABI issue with vector types (aka __m128) versus scalar types (aka float) 2018-10-01 23:45:55 +02:00
Gael Guennebaud
b0c66adfb1 bug #231: initial implementation of STL iterators for dense expressions 2018-10-01 23:21:37 +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
1e5750a5b8 Merged in rmlarsen/eigen4 (pull request PR-511)
Parallelize tensor contraction over the inner dimension.
2018-09-27 17:18:32 +00:00
Gael Guennebaud
af3ad4b513 oops, I've been too fast in previous copy/paste 2018-09-27 09:28:57 +02:00
Gael Guennebaud
24b163a877 #pragma GCC diagnostic push/pop is not supported prioro to gcc 4.6 2018-09-27 09:23:54 +02:00
Eugene Zhulenev
b314376f9c Test mkldnn pack for doubles 2018-09-26 18:22:24 -07:00
Eugene Zhulenev
22ed98a331 Conditionally add mkldnn test 2018-09-26 17:57:37 -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