Commit Graph

2787 Commits

Author SHA1 Message Date
Eugene Zhulenev
bc66c88255 Add async evaluation support to TensorPadding/TensorImagePatch/TensorShuffling 2019-11-26 11:41:57 -08:00
Hans Johnson
8c8cab1afd STYLE: Convert CMake-language commands to lower case
Ancient CMake versions required upper-case commands.  Later command names
became case-insensitive.  Now the preferred style is lower-case.
2019-10-31 11:36:37 -05:00
Hans Johnson
6fb3e5f176 STYLE: Remove CMake-language block-end command arguments
Ancient versions of CMake required else(), endif(), and similar block
termination commands to have arguments matching the command starting the block.
This is no longer the preferred style.
2019-10-31 11:36:27 -05:00
Gael Guennebaud
c3f6fcf2c0 bug #1747: one more fix for MSVC regarding the Bessel implementation. 2019-11-15 11:12:35 +01:00
Gael Guennebaud
b9837ca9ae bug #1281: fix AutoDiffScalar's make_coherent for nested expression of constant ADs. 2019-11-14 14:58:08 +01:00
Eugene Zhulenev
13c3327f5c Remove legacy block evaluation support 2019-11-12 10:12:28 -08:00
Rasmus Munk Larsen
0ed0338593 Fix a race in async tensor evaluation: Don't run on_done() until after device.deallocate() / evaluator.cleanup() complete, since the device might be destroyed after on_done() runs. 2019-11-11 12:26:41 -08:00
Eugene Zhulenev
c952b8dfda Break loop dependence in TensorGenerator block access 2019-11-11 10:32:57 -08:00
Rasmus Munk Larsen
ebf04fb3e8 Fix data race in css11_tensor_notification test. 2019-11-08 17:44:50 -08:00
Rasmus Munk Larsen
cc3d0e6a40 Add EIGEN_HAS_INTRINSIC_INT128 macro
Add a new EIGEN_HAS_INTRINSIC_INT128 macro, and use this instead of __SIZEOF_INT128__. This fixes related issues with TensorIntDiv.h when building with Clang for Windows, where support for 128-bit integer arithmetic is advertised but broken in practice.
2019-11-06 14:24:33 -08:00
Rasmus Munk Larsen
ee404667e2 Rollback or PR-746 and partial rollback of 668ab3fc47
.

std::array is still not supported in CUDA device code on Windows.
2019-11-05 17:17:58 -08:00
Rasmus Larsen
0c9745903a Merged in ezhulenev/eigen-01 (pull request PR-746)
Remove internal::smart_copy and replace with std::copy
2019-11-04 20:18:38 +00:00
Eugene Zhulenev
73ecb2c57d Cleanup includes in Tensor module after switch to C++11 and above 2019-10-29 15:49:54 -07:00
Eugene Zhulenev
e7ed4bd388 Remove internal::smart_copy and replace with std::copy 2019-10-29 11:25:24 -07:00
Eugene Zhulenev
fbc0a9a3ec Fix CXX11Meta compilation with MSVC 2019-10-28 18:30:10 -07:00
Eugene Zhulenev
bd864ab42b Prevent potential ODR in TensorExecutor 2019-10-28 15:45:09 -07:00
Mehdi Goli
6332aff0b2 This PR fixes:
* The specialization of array class in the different namespace for GCC<=6.4
* The implicit call to `std::array` constructor using the initializer list for GCC <=6.1
2019-10-23 15:56:56 +01:00
Rasmus Larsen
8e4e29ae99 Merged in deven-amd/eigen-hip-fix-191018 (pull request PR-738)
Fix for the HIP build+test errors.
2019-10-22 22:18:38 +00:00
Rasmus Munk Larsen
97c0c5d485 Add block evaluation V2 to TensorAsyncExecutor.
Add async evaluation to a number of ops.
2019-10-22 12:42:44 -07:00
Deven Desai
102cf2a72d Fix for the HIP build+test errors.
The errors were introduced by this commit :

After the above mentioned commit, some of the tests started failing with the following error


```
Built target cxx11_tensor_reduction
Building HIPCC object unsupported/test/CMakeFiles/cxx11_tensor_reduction_gpu_5.dir/cxx11_tensor_reduction_gpu_5_generated_cxx11_tensor_reduction_gpu.cu.o
In file included from /home/rocm-user/eigen/unsupported/test/cxx11_tensor_reduction_gpu.cu:16:
In file included from /home/rocm-user/eigen/unsupported/Eigen/CXX11/Tensor:117:
/home/rocm-user/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorBlockV2.h:155:5: error: the field type is not amp-compatible
    DestinationBufferKind m_kind;
    ^
/home/rocm-user/eigen/unsupported/Eigen/CXX11/src/Tensor/TensorBlockV2.h:211:3: error: the field type is not amp-compatible
  DestinationBuffer m_destination;
  ^
```


For some reason HIPCC does not like device code to contain enum types which do not have the base-type explicitly declared. The fix is trivial, explicitly state "int" as the basetype
2019-10-22 19:21:27 +00:00
Rasmus Munk Larsen
668ab3fc47 Drop support for c++03 in Eigen tensor. Get rid of some code used to emulate c++11 functionality with older compilers. 2019-10-18 16:42:00 -07:00
Eugene Zhulenev
df0e8b8137 Propagate block evaluation preference through rvalue tensor expressions 2019-10-17 11:17:33 -07:00
Eugene Zhulenev
0d2a14ce11 Cleanup Tensor block destination and materialized block storage allocation 2019-10-16 17:14:37 -07:00
Eugene Zhulenev
02431cbe71 TensorBroadcasting support for random/uniform blocks 2019-10-16 13:26:28 -07:00
Eugene Zhulenev
d380c23b2c Block evaluation for TensorGenerator/TensorReverse/TensorShuffling 2019-10-14 14:31:59 -07:00
Gael Guennebaud
39fb9eeccf bug #1747: fix compilation with MSVC 2019-10-14 22:50:23 +02:00
Eugene Zhulenev
a411e9f344 Block evaluation for TensorGenerator + TensorReverse + fixed bug in tensor reverse op 2019-10-10 10:56:58 -07:00
Eugene Zhulenev
33e1746139 Block evaluation for TensorChipping + fixed bugs in TensorPadding and TensorSlicing 2019-10-09 12:45:31 -07:00
Gael Guennebaud
f0a4642bab Implement c++03 compatible fix for changeset 7a43af1a33 2019-10-09 16:00:57 +02:00
Gael Guennebaud
7a43af1a33 Fix compilation of FFTW unit test 2019-10-08 08:58:35 +02:00
Eugene Zhulenev
f74ab8cb8d Add block evaluation to TensorEvalTo and fix few small bugs 2019-10-07 15:34:26 -07:00
Brian Zhao
3afb640b56 Fixing incorrect size in Tensor documentation. 2019-10-04 21:30:35 -07:00
Rasmus Munk Larsen
20c4a9118f Use "pdiv" rather than operator/ to support packet types. 2019-10-04 16:54:03 -07:00
Eugene Zhulenev
98bdd7252e Fix compilation warnings and errors with clang in TensorBlockV2 code and tests 2019-10-04 10:15:33 -07:00
Eugene Zhulenev
60ae24ee1a Add block evaluation to TensorReshaping/TensorCasting/TensorPadding/TensorSelect 2019-10-02 12:44:06 -07:00
Eugene Zhulenev
6e40454a6e Add beta to TensorContractionKernel and make memset optional 2019-10-02 11:06:02 -07:00
Rasmus Munk Larsen
13ef08e5ac Move implementation of vectorized error function erf() to SpecialFunctionsImpl.h. 2019-09-27 13:56:04 -07:00
Eugene Zhulenev
7c8bc0d928 Fix cxx11_tensor_block_io test 2019-09-25 11:48:11 -07:00
Eugene Zhulenev
71d5bedf72 Fix compilation warnings and errors with clang in TensorBlockV2 2019-09-25 11:25:22 -07:00
Deven Desai
5e186b1987 Fix for the HIP build+test errors.
The errors were introduced by this commit : d38e6fbc27


After the above mentioned commit, some of the tests started failing with the following error


```
Building HIPCC object unsupported/test/CMakeFiles/cxx11_tensor_reduction_gpu_5.dir/cxx11_tensor_reduction_gpu_5_generated_cxx11_tensor_reduction_gpu.cu.o
In file included from /home/rocm-user/eigen/unsupported/test/cxx11_tensor_reduction_gpu.cu:16:
In file included from /home/rocm-user/eigen/unsupported/Eigen/CXX11/Tensor:29:
In file included from /home/rocm-user/eigen/unsupported/Eigen/CXX11/../SpecialFunctions:70:
/home/rocm-user/eigen/unsupported/Eigen/CXX11/../src/SpecialFunctions/SpecialFunctionsHalf.h:28:22: error: call to 'erf' is ambiguous
  return Eigen::half(Eigen::numext::erf(static_cast<float>(a)));
                     ^~~~~~~~~~~~~~~~~~
/home/rocm-user/eigen/unsupported/test/../../Eigen/src/Core/MathFunctions.h:1600:7: note: candidate function [with T = float]
float erf(const float &x) { return ::erff(x); }
      ^
/home/rocm-user/eigen/unsupported/Eigen/CXX11/../src/SpecialFunctions/SpecialFunctionsImpl.h:1897:5: note: candidate function [with Scalar = float]
    erf(const Scalar& x) {
    ^
In file included from /home/rocm-user/eigen/unsupported/test/cxx11_tensor_reduction_gpu.cu:16:
In file included from /home/rocm-user/eigen/unsupported/Eigen/CXX11/Tensor:29:
In file included from /home/rocm-user/eigen/unsupported/Eigen/CXX11/../SpecialFunctions:75:
/home/rocm-user/eigen/unsupported/Eigen/CXX11/../src/SpecialFunctions/arch/GPU/GpuSpecialFunctions.h:87:23: error: call to 'erf' is ambiguous
  return make_double2(erf(a.x), erf(a.y));
                      ^~~
/home/rocm-user/eigen/unsupported/test/../../Eigen/src/Core/MathFunctions.h:1603:8: note: candidate function [with T = double]
double erf(const double &x) { return ::erf(x); }
       ^
/home/rocm-user/eigen/unsupported/Eigen/CXX11/../src/SpecialFunctions/SpecialFunctionsImpl.h:1897:5: note: candidate function [with Scalar = double]
    erf(const Scalar& x) {
    ^
In file included from /home/rocm-user/eigen/unsupported/test/cxx11_tensor_reduction_gpu.cu:16:
In file included from /home/rocm-user/eigen/unsupported/Eigen/CXX11/Tensor:29:
In file included from /home/rocm-user/eigen/unsupported/Eigen/CXX11/../SpecialFunctions:75:
/home/rocm-user/eigen/unsupported/Eigen/CXX11/../src/SpecialFunctions/arch/GPU/GpuSpecialFunctions.h:87:33: error: call to 'erf' is ambiguous
  return make_double2(erf(a.x), erf(a.y));
                                ^~~
/home/rocm-user/eigen/unsupported/test/../../Eigen/src/Core/MathFunctions.h:1603:8: note: candidate function [with T = double]
double erf(const double &x) { return ::erf(x); }
       ^
/home/rocm-user/eigen/unsupported/Eigen/CXX11/../src/SpecialFunctions/SpecialFunctionsImpl.h:1897:5: note: candidate function [with Scalar = double]
    erf(const Scalar& x) {
    ^
3 errors generated.
```


This PR fixes the compile error by removing the "old" implementation for "erf" (assuming that the "new" implementation is what we want going forward. from a GPU point-of-view both implementations are the same).

This PR also fixes what seems like a cut-n-paste error in the aforementioned commit
2019-09-25 15:39:13 +00:00
Eugene Zhulenev
f35b9ab510 Fix a bug in a packed block type in TensorContractionThreadPool 2019-09-24 16:54:36 -07:00
Rasmus Larsen
d38e6fbc27 Merged in rmlarsen/eigen (pull request PR-704)
Add generic PacketMath implementation of the Error Function (erf).
2019-09-24 23:40:29 +00:00
Rasmus Munk Larsen
591a554c68 Add TODO to cleanup FMA cost modelling. 2019-09-24 16:39:25 -07:00
Eugene Zhulenev
c64396b4c6 Choose TensorBlock StridedLinearCopy type statically 2019-09-24 16:04:29 -07:00
Eugene Zhulenev
c97b208468 Add new TensorBlock api implementation + tests 2019-09-24 15:17:35 -07:00
Eugene Zhulenev
ef9dfee7bd Tensor block evaluation V2 support for unary/binary/broadcsting 2019-09-24 12:52:45 -07:00
Christoph Hertzberg
e4c1b3c1d2 Fix implicit conversion warnings and use pnegate to negate packets 2019-09-23 16:07:43 +02:00
Christoph Hertzberg
ba0736fa8e Fix (or mask away) conversion warnings introduced in 553caeb6a3
.
2019-09-23 15:58:05 +02:00
Rasmus Munk Larsen
1d5af0693c Add support for asynchronous evaluation of tensor casting expressions. 2019-09-19 13:54:49 -07:00
Rasmus Munk Larsen
6de5ed08d8 Add generic PacketMath implementation of the Error Function (erf). 2019-09-19 12:48:30 -07:00