Commit Graph

1228 Commits

Author SHA1 Message Date
Antonio Sanchez
6961468915 Address issues with openglsupport test.
The existing test fails on several systems due to GL runtime version mismatches,
the use of deprecated features, and memory errors due to improper use of GLUT.
The test was modified to:

- Run within a display function, allowing proper GLUT cleanup.
- Generate dynamic shaders with a supported GLSL version string and output variables.
- Report shader compilation errors.
- Check GL context version before launching version-specific tests.

Note that most of the existing `OpenGLSupport` module and tests rely on deprecated
features (e.g. fixed-function pipeline). The test was modified to allow it to
pass on various systems. We might want to consider removing the module or re-writing
it entirely to support modern OpenGL.  This is beyond the scope of this patch.

Testing of legacy GL (for platforms that support it) can be enabled by defining
`EIGEN_LEGACY_OPENGL`.  Otherwise, the test will try to create a modern context.

Tested on
- MacBook Air (2019), macOS Catalina 10.15.7 (OpenGL 2.1, 4.1)
- Debian 10.6, NVidia Quadro K1200 (OpenGL 3.1, 3.3)
2020-11-11 15:54:43 -08:00
Deven Desai
9d11e2c03e CMakefile update for ROCm 4.0
Starting with ROCm 4.0, the `hipconfig --platform` command will return `amd` (prior return value was `hcc`). Updating the CMakeLists.txt files in the test dirs to account for this change.
2020-10-29 18:06:31 +00:00
Rasmus Munk Larsen
274ef12b61 Remove leftover debug print statement in cxx11_tensor_expr.cpp 2020-10-14 22:59:51 +00:00
Rasmus Munk Larsen
c6953f799b Add packet generic ops predux_fmin, predux_fmin_nan, predux_fmax, and predux_fmax_nan that implement reductions with PropagateNaN, and PropagateNumbers semantics. Add (slow) generic implementations for most reductions. 2020-10-13 21:48:31 +00:00
Rasmus Munk Larsen
b431024404 Don't make assumptions about NaN-propagation for pmin/pmax - it various across platforms.
Change test to only test for NaN-propagation for pfmin/pfmax.
2020-10-07 19:05:18 +00:00
David Tellenbach
d4a727d092 Disable min/max NaN propagation in test cxx11_tensor_expr
The current pmin/pmax implementation for Arm Neon propagate NaNs
differently than std::min/std::max.

See issue https://gitlab.com/libeigen/eigen/-/issues/1937
2020-08-14 16:16:27 +00:00
Rasmus Munk Larsen
ac2eca6b11 Update tensor reduction test to avoid undefined division of bfloat16 by int. 2020-07-22 00:35:51 +00:00
Antonio Sanchez
9cb8771e9c Fix tensor casts for large packets and casts to/from std::complex
The original tensor casts were only defined for
`SrcCoeffRatio`:`TgtCoeffRatio` 1:1, 1:2, 2:1, 4:1. Here we add the
missing 1:N and 8:1.

We also add casting `Eigen::half` to/from `std::complex<T>`, which
was missing to make it consistent with `Eigen:bfloat16`, and
generalize the overload to work for any complex type.

Tests were added to `basicstuff`, `packetmath`, and
`cxx11_tensor_casts` to test all cast configurations.
2020-06-30 18:53:55 +00:00
Teng Lu
386d809bde Support BFloat16 in Eigen 2020-06-20 19:16:24 +00:00
Antonio Sanchez
a7d2552af8 Remove HasCast and fix packetmath cast tests.
The use of the `packet_traits<>::HasCast` field is currently inconsistent with
`type_casting_traits<>`, and is unused apart from within
`test/packetmath.cpp`. In addition, those packetmath cast tests do not
currently reflect how casts are performed in practice: they ignore the
`SrcCoeffRatio` and `TgtCoeffRatio` fields, assuming a 1:1 ratio.

Here we remove the unsed `HasCast`, and modify the packet cast tests to
better reflect their usage.
2020-06-11 17:26:56 +00:00
Thales Sabino
1fcaaf460f Update FindComputeCpp.cmake to fix build problems on Windows
- Use standard types in SYCL/PacketMath.h to avoid compilation problems on Windows
- Add EIGEN_HAS_CONSTEXPR to cxx11_tensor_argmax_sycl.cpp to fix build problems on Windows
2020-06-05 20:51:20 +00:00
Antonio Sánchez
8719b9c5bc Disable test for 32-bit systems (e.g. ARM, i386)
Both i386 and 32-bit ARM do not define __uint128_t. On most systems, if
__uint128_t is defined, then so is the macro __SIZEOF_INT128__.

https://stackoverflow.com/questions/18531782/how-to-know-if-uint128-t-is-defined1
2020-05-28 17:40:15 +00:00
Rasmus Munk Larsen
ab773c7e91 Extend support for Packet16b:
* Add ptranspose<*,4> to support matmul and add unit test for Matrix<bool> * Matrix<bool>
* work around a bug in slicing of Tensor<bool>.
* Add tensor tests

This speeds up matmul for boolean matrices by about 10x

name                            old time/op             new time/op             delta
BM_MatMul<bool>/8                267ns ± 0%              479ns ± 0%  +79.25%          (p=0.008 n=5+5)
BM_MatMul<bool>/32              6.42µs ± 0%             0.87µs ± 0%  -86.50%          (p=0.008 n=5+5)
BM_MatMul<bool>/64              43.3µs ± 0%              5.9µs ± 0%  -86.42%          (p=0.008 n=5+5)
BM_MatMul<bool>/128              315µs ± 0%               44µs ± 0%  -85.98%          (p=0.008 n=5+5)
BM_MatMul<bool>/256             2.41ms ± 0%             0.34ms ± 0%  -85.68%          (p=0.008 n=5+5)
BM_MatMul<bool>/512             18.8ms ± 0%              2.7ms ± 0%  -85.53%          (p=0.008 n=5+5)
BM_MatMul<bool>/1k               149ms ± 0%               22ms ± 0%  -85.40%          (p=0.008 n=5+5)
2020-04-28 16:12:47 +00:00
Rasmus Munk Larsen
2f6ddaa25c Add partial vectorization for matrices and tensors of bool. This speeds up boolean operations on Tensors by up to 25x.
Benchmark numbers for the logical and of two NxN tensors:

name                                               old time/op             new time/op             delta
BM_booleanAnd_1T/3   [using 1 threads]             14.6ns ± 0%             14.4ns ± 0%   -0.96%
BM_booleanAnd_1T/4   [using 1 threads]             20.5ns ±12%              9.0ns ± 0%  -56.07%
BM_booleanAnd_1T/7   [using 1 threads]             41.7ns ± 0%             10.5ns ± 0%  -74.87%
BM_booleanAnd_1T/8   [using 1 threads]             52.1ns ± 0%             10.1ns ± 0%  -80.59%
BM_booleanAnd_1T/10  [using 1 threads]             76.3ns ± 0%             13.8ns ± 0%  -81.87%
BM_booleanAnd_1T/15  [using 1 threads]              167ns ± 0%               16ns ± 0%  -90.45%
BM_booleanAnd_1T/16  [using 1 threads]              188ns ± 0%               16ns ± 0%  -91.57%
BM_booleanAnd_1T/31  [using 1 threads]              667ns ± 0%               34ns ± 0%  -94.83%
BM_booleanAnd_1T/32  [using 1 threads]              710ns ± 0%               35ns ± 0%  -95.01%
BM_booleanAnd_1T/64  [using 1 threads]             2.80µs ± 0%             0.11µs ± 0%  -95.93%
BM_booleanAnd_1T/128 [using 1 threads]             11.2µs ± 0%              0.4µs ± 0%  -96.11%
BM_booleanAnd_1T/256 [using 1 threads]             44.6µs ± 0%              2.5µs ± 0%  -94.31%
BM_booleanAnd_1T/512 [using 1 threads]              178µs ± 0%               10µs ± 0%  -94.35%
BM_booleanAnd_1T/1k  [using 1 threads]              717µs ± 0%               78µs ± 1%  -89.07%
BM_booleanAnd_1T/2k  [using 1 threads]             2.87ms ± 0%             0.31ms ± 1%  -89.08%
BM_booleanAnd_1T/4k  [using 1 threads]             11.7ms ± 0%              1.9ms ± 4%  -83.55%
BM_booleanAnd_1T/10k [using 1 threads]             70.3ms ± 0%             17.2ms ± 4%  -75.48%
2020-04-20 20:16:28 +00:00
Aaron Franke
5c22c7a7de Make file formatting comply with POSIX and Unix standards
UTF-8, LF, no BOM, and newlines at the end of files
2020-03-23 18:09:02 +00:00
Srinivas Vasudevan
f6c6de5d63 Ensure Igamma does not NaN or Inf for large values. 2020-01-14 21:32:48 +00:00
Srinivas Vasudevan
2e099e8d8f Added special_packetmath test and tweaked bounds on tests.
Refactor shared packetmath code to header file.
(Squashed from PR !38)
2020-01-11 10:31:21 +00:00
Christoph Hertzberg
1e9664b147 Bug #1796: Make matrix squareroot usable for Map and Ref types 2019-12-20 18:10:22 +01:00
Christoph Hertzberg
c21771ac04 Use double-braces initialization (as everywhere else in the test-suite). 2019-12-19 19:20:48 +01:00
Eugene Zhulenev
ae07801dd8 Tensor block evaluation cost model 2019-12-18 20:07:00 +00:00
Eugene Zhulenev
1c879eb010 Remove V2 suffix from TensorBlock 2019-12-10 15:40:23 -08:00
Eugene Zhulenev
dbca11e880 Remove TensorBlock.h and old TensorBlock/BlockMapper 2019-12-10 14:31:44 -08:00
Janek Kozicki
11d6465326 fix AlignedVector3 inconsisent interface with other Vector classes, default constructor and operator- were missing. 2019-12-06 21:07:39 +01:00
Rasmus Munk Larsen
366cf005b0 Add missing initialization in cxx11_tensor_trace.cpp. 2019-12-04 23:56:37 +00:00
Mehdi Goli
00f32752f7 [SYCL] Rebasing the SYCL support branch on top of the Einge upstream master branch.
* Unifying all loadLocalTile from lhs and rhs to an extract_block function.
* Adding get_tensor operation which was missing in TensorContractionMapper.
* Adding the -D method missing from cmake for Disable_Skinny Contraction operation.
* Wrapping all the indices in TensorScanSycl into Scan parameter struct.
* Fixing typo in Device SYCL
* Unifying load to private register for tall/skinny no shared
* Unifying load to vector tile for tensor-vector/vector-tensor operation
* Removing all the LHS/RHS class for extracting data from global
* Removing Outputfunction from TensorContractionSkinnyNoshared.
* Combining the local memory version of tall/skinny and normal tensor contraction into one kernel.
* Combining the no-local memory version of tall/skinny and normal tensor contraction into one kernel.
* Combining General Tensor-Vector and VectorTensor contraction into one kernel.
* Making double buffering optional for Tensor contraction when local memory is version is used.
* Modifying benchmark to accept custom Reduction Sizes
* Disabling AVX optimization for SYCL backend on the host to allow SSE optimization to the host
* Adding Test for SYCL
* Modifying SYCL CMake
2019-11-28 10:08:54 +00:00
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
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
ebf04fb3e8 Fix data race in css11_tensor_notification test. 2019-11-08 17:44:50 -08:00
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
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
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
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
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
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
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
Rasmus Munk Larsen
1d5af0693c Add support for asynchronous evaluation of tensor casting expressions. 2019-09-19 13:54:49 -07:00
Srinivas Vasudevan
df0816b71f Merging eigen/eigen. 2019-09-16 19:33:29 -04:00
Srinivas Vasudevan
6e215cf109 Add Bessel functions to SpecialFunctions.
- Split SpecialFunctions files in to a separate BesselFunctions file.

In particular add:
    - Modified bessel functions of the second kind k0, k1, k0e, k1e
    - Bessel functions of the first kind j0, j1
    - Bessel functions of the second kind y0, y1
2019-09-14 12:16:47 -04:00
Deven Desai
cdb377d0cb Fix for the HIP build+test errors introduced by the ndtri support.
The fixes needed are
 * adding EIGEN_DEVICE_FUNC attribute to a couple of funcs (else HIPCC will error out when non-device funcs are called from global/device funcs)
 * switching to using ::<math_func> instead std::<math_func> (only for HIPCC) in cases where the std::<math_func> is not recognized as a device func by HIPCC
 * removing an errant "j" from a testcase (don't know how that made it in to begin with!)
2019-09-06 16:03:49 +00:00
Eugene Zhulenev
d918bd9a8b Update ThreadLocal to use separate Initialize/Release callables 2019-09-10 16:13:32 -07:00
Eugene Zhulenev
e3dec4dcc1 ThreadLocal container that does not rely on thread local storage 2019-09-09 15:18:14 -07:00
Srinivas Vasudevan
e38dd48a27 PR 681: Add ndtri function, the inverse of the normal distribution function. 2019-08-12 19:26:29 -04:00
Eugene Zhulenev
47fefa235f Allow move-only done callback in TensorAsyncDevice 2019-09-03 17:20:56 -07:00
Eugene Zhulenev
a8d264fa9c Add test for const TensorMap underlying data mutation 2019-09-03 11:38:39 -07:00
Eugene Zhulenev
f0b36fb9a4 evalSubExprsIfNeededAsync + async TensorContractionThreadPool 2019-08-30 15:13:38 -07:00
Eugene Zhulenev
66665e7e76 Asynchronous expression evaluation with TensorAsyncDevice 2019-08-30 14:49:40 -07:00
Eugene Zhulenev
bc40d4522c Const correctness in TensorMap<const Tensor<T, ...>> expressions 2019-08-28 17:46:05 -07:00
Eugene Zhulenev
071311821e Remove XSMM support from Tensor module 2019-08-19 11:44:25 -07:00
Rasmus Munk Larsen
facc4e4536 Disable tests for contraction with output kernels when using libxsmm, which does not support this. 2019-08-07 14:11:15 -07:00
Eugene Zhulenev
6e7c76481a Merge with Eigen head 2019-06-28 11:22:46 -07:00
Eugene Zhulenev
878845cb25 Add block access to TensorReverseOp and make sure that TensorForcedEval uses block access when preferred 2019-06-28 11:13:44 -07:00
Mehdi Goli
7d08fa805a [SYCL] This PR adds the minimum modifications to the Eigen unsupported module required to run it on devices supporting SYCL.
* Abstracting the pointer type so that both SYCL memory and pointer can be captured.
* Converting SYCL virtual pointer to SYCL device memory in Eigen evaluator class.
* Binding SYCL placeholder accessor to command group handler by using bind method in Eigen evaluator node.
* Adding SYCL macro for controlling loop unrolling.
* Modifying the TensorDeviceSycl.h and SYCL executor method to adopt the above changes.
2019-06-28 10:08:23 +01:00
tra
b4c49bf00e Minor build improvements
* Allow specifying multiple GPU architectures. E.g.:
  cmake -DEIGEN_CUDA_COMPUTE_ARCH="60;70"
* Pass CUDA SDK path to clang. Without it it will default to /usr/local/cuda
which may not be the right location, if cmake was invoked with
-DCUDA_TOOLKIT_ROOT_DIR=/some/other/CUDA/path
2019-05-31 14:08:34 -07:00
Rasmus Larsen
c8d8d5c0fc Merged in rmlarsen/eigen_threadpool (pull request PR-640)
Fix deadlocks in thread pool.

Approved-by: Eugene Zhulenev <ezhulenev@google.com>
2019-05-13 20:04:35 +00:00
Christoph Hertzberg
4ccd1ece92 bug #1707: Fix deprecation warnings, or disable warnings when testing deprecated functions 2019-05-10 14:57:05 +02:00
Rasmus Munk Larsen
e5ac8cbd7a A) fix deadlocks in thread pool caused by EventCount
This fixed 2 deadlocks caused by sloppiness in the EventCount logic.
Both most likely were introduced by cl/236729920 which includes the new EventCount algorithm:
01da8caf00

bug #1 (Prewait):
Prewait must not consume existing signals.
Consider the following scenario.
There are 2 thread pool threads (1 and 2) and 1 external thread (3). RunQueue is empty.
Thread 1 checks the queue, calls Prewait, checks RunQueue again and now is going to call CommitWait.
Thread 2 checks the queue and now is going to call Prewait.
Thread 3 submits 2 tasks, EventCount signals is set to 1 because only 1 waiter is registered the second signal is discarded).
Now thread 2 resumes and calls Prewait and takes away the signal.
Thread 1 resumes and calls CommitWait, there are no pending signals anymore, so it blocks.
As the result we have 2 tasks, but only 1 thread is running.

bug #2 (CancelWait):
CancelWait must not take away a signal if it's not sure that the signal was meant for this thread.
When one thread blocks and another submits a new task concurrently, the EventCount protocol guarantees only the following properties (similar to the Dekker's algorithm):
(a) the registered waiter notices presence of the new task and does not block
(b) the signaler notices presence of the waiters and wakes it
(c) both the waiter notices presence of the new task and signaler notices presence of the waiter
[it's only that both of them do not notice each other must not be possible, because it would lead to a deadlock]
CancelWait is called for cases (a) and (c). For case (c) it is OK to take the notification signal away, but it's not OK for (a) because nobody queued a signals for us and we take away a signal meant for somebody else.
Consider:
Thread 1 calls Prewait, checks RunQueue, it's empty, now it's going to call CommitWait.
Thread 3 submits 2 tasks, EventCount signals is set to 1 because only 1 waiter is registered the second signal is discarded).
Thread 2 calls Prewait, checks RunQueue, discovers the tasks, calls CancelWait and consumes the pending signal (meant for thread 1).
Now Thread 1 resumes and calls CommitWait, since there are no signals it blocks.
As the result we have 2 tasks, but only 1 thread is running.

Both deadlocks are only a problem if the tasks require parallelism. Most computational tasks do not require parallelism, i.e. a single thread will run task 1, finish it and then dequeue and run task 2.

This fix undoes some of the sloppiness in the EventCount that was meant to reduce CPU consumption by idle threads, because we now have more threads running in these corner cases. But we still don't have pthread_yield's and maybe the strictness introduced by this change will actually help to reduce tail latency because we will have threads running when we actually need them running.



B) fix deadlock in thread pool caused by RunQueue

This fixed a deadlock caused by sloppiness in the RunQueue logic.
Most likely this was introduced with the non-blocking thread pool.
The deadlock only affects workloads that require parallelism.
Most computational tasks don't require parallelism.

PopBack must not fail spuriously. If it does, it can effectively lead to single thread consuming several wake up signals.
Consider 2 worker threads are blocked.
External thread submits a task. One of the threads is woken.
It tries to steal the task, but fails due to a spurious failure in PopBack (external thread submits another task and holds the lock).
The thread executes blocking protocol again (it won't block because NonEmptyQueueIndex is precise and the thread will discover pending work, but it has called PrepareWait).
Now external thread submits another task and signals EventCount again.
The signal is consumed by the first thread again. But now we have 2 tasks pending but only 1 worker thread running.

It may be possible to fix this in a different way: make EventCount::CancelWait forward wakeup signal to a blocked thread rather then consuming it. But this looks more complex and I am not 100% that it will fix the bug.
It's also possible to have 2 versions of PopBack: one will do try_to_lock and another won't. Then worker threads could first opportunistically check all queues with try_to_lock, and only use the blocking version before blocking. But let's first fix the bug with the simpler change.
2019-05-08 10:16:46 -07:00
Eugene Zhulenev
5d9a6686ed Block evaluation for TensorGeneratorOp 2019-03-05 16:35:21 -08:00
Eugene Zhulenev
b1a8627493 Do not create Tensor<const T> in cxx11_tensor_forced_eval test 2019-03-05 11:19:25 -08:00
Eugene Zhulenev
b95941e5c2 Add tiled evaluation for TensorForcedEvalOp 2019-03-04 16:02:22 -08:00
Rasmus Munk Larsen
6560692c67 Improve EventCount used by the non-blocking threadpool.
The current algorithm requires threads to commit/cancel waiting in order
they called Prewait. Spinning caused by that serialization can consume
lots of CPU time on some workloads. Restructure the algorithm to not
require that serialization and remove spin waits from Commit/CancelWait.
Note: this reduces max number of threads from 2^16 to 2^14 to leave
more space for ABA counter (which is now 22 bits).
Implementation details are explained in comments.
2019-02-22 13:56:26 -08:00
Christoph Hertzberg
934b8a1304 Avoid I as an identifier, since it may clash with the C-header complex.h 2019-01-25 14:54:39 +01:00
Rasmus Munk Larsen
ee550a2ac3 Fix flaky test for tensor fft. 2019-01-16 14:03:12 -08:00
Gael Guennebaud
d812f411c3 bug #1654: fix compilation with cuda and no c++11 2019-01-09 18:00:05 +01:00
Gael Guennebaud
450dc97c6b Various fixes in polynomial solver and its unit tests:
- cleanup noise in imaginary part of real roots
 - take into account the magnitude of the derivative to check roots.
 - use <= instead of < at appropriate places
2018-12-09 22:54:39 +01:00
Christoph Hertzberg
0ec8afde57 Fixed most conversion warnings in MatrixFunctions module 2018-11-20 16:23:28 +01:00
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
Rasmus Munk Larsen
07fcdd1438 Merged in ezhulenev/eigen-02 (pull request PR-534)
Fix cxx11_tensor_{block_access, reduction} tests
2018-10-25 18:34:35 +00:00
Eugene Zhulenev
8a977c1f46 Fix cxx11_tensor_{block_access, reduction} tests 2018-10-25 11:31:29 -07:00
Christoph Hertzberg
40fa6f98bf bug #1606: Explicitly set the standard before find_package(StandardMathLibrary). Also replace EIGEN_COMPILER_SUPPORT_CXX11 in favor of EIGEN_COMPILER_SUPPORT_CPP11.
Grafted manually from a4afa90d16
2018-10-19 17:20:51 +02:00
Eugene Zhulenev
900c7c61bb Check if it's allowed to squueze inner dimensions in TensorBlockIO 2018-10-15 16:52:33 -07:00
Gael Guennebaud
d835a0bf53 relax number of iterations checks to avoid false negatives 2018-10-15 10:23:32 +02:00
Gael Guennebaud
8214cf1896 Make sparse_basic includable from sparse_extra, but disable it since sparse_basic(DynamicSparseMatrix) does not compile at all anyways 2018-10-11 10:27:23 +02:00
Gael Guennebaud
93a6192e98 fix mpreal for mpfr<4.0.0 2018-10-09 09:15:22 +02:00
Rasmus Munk Larsen
1a737e1d6a Fix contraction test. 2018-10-08 16:37:07 -07:00
Gael Guennebaud
2eda9783de typo 2018-10-08 21:37:46 +02:00
Gael Guennebaud
6cc9b2c831 fix warning in mpreal.h 2018-10-08 18:25:37 +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
Christoph Hertzberg
c5f1d0a72a Fix shadow warning 2018-10-02 19:01:08 +02:00
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
Eugene Zhulenev
9f4988959f Remove explicit mkldnn support and redundant TensorContractionKernelBlocking 2018-09-27 11:49:19 -07:00
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
Eugene Zhulenev
71cd3fbd6a Support multiple contraction kernel types in TensorContractionThreadPool 2018-09-26 11:08:47 -07:00
Christoph Hertzberg
0a3356f4ec Don't deactivate BVH test for clang (probably, this was failing for very old versions of clang) 2018-09-25 20:26:16 +02:00
Christoph Hertzberg
2c083ace3e Provide EIGEN_OVERRIDE and EIGEN_FINAL macros to mark virtual function overrides 2018-09-24 18:01:17 +02:00
Eugene Zhulenev
719e438a20 Collapsed revision
* Split cxx11_tensor_executor test
* Register test parts with EIGEN_SUFFIXES
* Fix EIGEN_SUFFIXES in cxx11_tensor_executor test
2018-09-20 15:19:12 -07:00
Christoph Hertzberg
c50250cb24 Avoid warning "suggest braces around initialization of subobject".
This test is not run in C++03 mode, so no compatibility is lost.
2018-09-20 17:03:42 +02:00
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
Eugene Zhulenev
a5cd4e9ad1 Replace deprecated Eigen::DenseIndex with Eigen::Index in TensorIndexList 2018-09-17 10:58:07 -07:00
Eugene Zhulenev
66f056776f Add DSizes index type promotion 2018-09-15 15:17:38 -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
9b864cdb37 Merged in rmlarsen/eigen3 (pull request PR-480)
Avoid compilation error in C++11 test when EIGEN_AVOID_STL_ARRAY is set.
2018-09-14 00:05:09 +00:00
Rasmus Munk Larsen
d0eef5fe6c Don't use bracket syntax in ctor. 2018-09-13 17:04:05 -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
Eugene Zhulenev
01197e4452 Fix warnings 2018-09-13 15:03:36 -07:00
Eugene Zhulenev
d138fe341d Fis static_assert in test to conform c++11 standard 2018-09-11 17:23:18 -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
Rasmus Munk Larsen
3d057e0453 Avoid compilation error in C++11 test when EIGEN_AVOID_STL_ARRAY is set. 2018-09-06 12:59:36 -07:00
Christoph Hertzberg
ff4e835d6b "sparse_product.cpp" must be included before "sparse_basic.cpp", otherwise EIGEN_SPARSE_CREATE_TEMPORARY_PLUGIN has no effect 2018-08-30 20:10:11 +02:00
Christoph Hertzberg
20ba2eee6d gcc thinks this may not be initialized 2018-08-28 18:33:24 +02:00
Christoph Hertzberg
73ca600bca Fix numerous shadow-warnings for GCC<=4.8 2018-08-28 18:32:39 +02:00
Eugene Zhulenev
c144bb355b Merge with upstream eigen/default 2018-08-27 14:34:07 -07:00
Christoph Hertzberg
42123ff38b Make unit test C++03 compatible 2018-08-25 11:53:28 +02:00
Christoph Hertzberg
117bc5d505 Fix some shadow warnings 2018-08-25 09:06:08 +02:00
Christoph Hertzberg
f155e97adb Previous fix broke compilation for clang 2018-08-25 00:10:46 +02:00
Christoph Hertzberg
209b4972ec Fix conversion warning 2018-08-25 00:02:46 +02:00
Christoph Hertzberg
495f6c3c3a Fix missing-braces warnings 2018-08-24 23:56:13 +02:00
Christoph Hertzberg
8295f02b36 Hide "maybe uninitialized" warning on gcc 2018-08-24 23:22:20 +02:00
Christoph Hertzberg
f7675b826b Fix several integer conversion and sign-compare warnings 2018-08-24 22:58:55 +02:00
Benoit Steiner
ff8e0ecc2f Updated one more line of code to avoid making the test dependent on cxx11 features. 2018-08-17 15:15:52 -07:00
Benoit Steiner
43d9dd9b28 Removed more dependencies on cxx11. 2018-08-17 08:49:32 -07:00
Benoit Steiner
ede580ccda Avoid using the auto keyword to make the tensor block access test more portable 2018-08-16 10:49:47 -07:00
Benoit Steiner
4181556907 Fixed the tensor contraction code. 2018-08-15 09:34:47 -07:00
Benoit Steiner
b6f96cf7dd Removed dependencies on cxx11 language features from the tensor_block_access test 2018-08-15 08:54:31 -07:00
Benoit Steiner
6bb3f1b43e Made the tensor_block_access test compile again 2018-08-14 14:26:59 -07:00
Benoit Steiner
43ec0082a6 Made the kronecker_product test compile again 2018-08-14 14:08:36 -07:00
Rasmus Munk Larsen
aebdb06424 Fix a few compiler warnings in CXX11 tests. 2018-08-14 12:06:39 -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
3d3711f22f Fixed compilation errors. 2018-08-13 15:16:06 -07:00
Eugene Zhulenev
cfaedb38cd Fix bug in a test + compilation errors 2018-08-09 09:44:07 -07:00
Eugene Zhulenev
1c8b9e10a7 Merged with upstream eigen 2018-08-08 16:57:58 -07:00
Benoit Steiner
dd5875e30d Merged in codeplaysoftware/eigen-upstream-pure/constructor_error_clang (pull request PR-451)
Fixing ambigous constructor error for Clang compiler.
2018-08-02 20:46:03 +00:00
Mehdi Goli
516d2621b9 fixing compilation error for cxx11_tensor_trace.cpp error on Microsoft Visual Studio. 2018-08-02 14:30:48 +01:00
Mehdi Goli
40d6d020a0 Fixing ambigous constructor error for Clang compiler. 2018-08-02 13:34:53 +01:00
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
Eugene Zhulenev
83c0a16baf Add block evaluation support to TensorOps 2018-07-31 15:56:31 -07:00
Gael Guennebaud
678a0dcb12 Merged in ezhulenev/eigen/tiling_3 (pull request PR-438)
Tiled tensor executor
2018-07-31 08:13:00 +00:00
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
Eugene Zhulenev
d55efa6f0f TensorBlockIO 2018-07-23 15:50:55 -07:00