Charles Schlosser
9099c5eac7
Handle missing AVX512 intrinsic
2024-04-14 16:41:23 +00:00
Charles Schlosser
122befe54c
Fix "unary minus operator applied to unsigned type, result still unsigned" on MSVC and other stupid warnings
2024-04-12 19:35:04 +00:00
Rasmus Munk Larsen
3c9109238f
Add support for Packet8l to AVX512.
2024-04-09 22:58:44 +00:00
Rasmus Munk Larsen
b86641a4c2
Add support for casting between double and int64_t for SSE and AVX2.
2024-03-22 22:32:29 +00:00
Tobias Wood
f38e16c193
Apply clang-format
2023-11-29 11:12:48 +00:00
Antonio Sánchez
6e4d5d4832
Add IWYU private pragmas to internal headers.
2023-08-21 16:25:22 +00:00
Rasmus Munk Larsen
df1049ddf4
Small packet math cleanup.
2023-04-04 16:14:32 +00:00
Rasmus Munk Larsen
1a5dfd7c0f
Fix incorrect casting in AVX512DQ path.
2023-03-27 09:28:06 -07:00
Rasmus Munk Larsen
b8b8a26145
Add more missing vectorized casts for int on x86, and remove redundant unit tests
2023-03-24 16:02:00 +00:00
Rasmus Munk Larsen
0488b708b4
Vectorize tensor.isnan() by using typed predicates.
2023-03-16 04:04:22 +00:00
Antonio Sánchez
394aabb0a3
Fix failing MSVC tests due to compiler bugs.
2023-03-10 22:36:57 +00:00
Rasmus Munk Larsen
1c0a6cf228
Get rid of EIGEN_HAS_AVX512_MATH workaround.
2023-02-23 23:16:41 +00:00
Rasmus Munk Larsen
ce62177b5b
Vectorize atanh & add a missing definition and unit test for atan.
2023-02-21 03:14:05 +00:00
Sean McBride
d70b4864d9
issue #2581 : review and cleanup of compiler version checks
2023-01-17 18:58:34 +00:00
Antonio Sánchez
8588d8c74b
Correct pnegate for floating-point zero.
2022-11-15 18:07:23 +00:00
Charles Schlosser
82b152dbe7
Add signbit function
2022-11-04 00:31:20 +00:00
Antonio Sánchez
e5794873cb
Replace assert with eigen_assert.
2022-10-04 17:11:23 +00:00
Rasmus Munk Larsen
c475228b28
Vectorize atan() for double.
2022-10-01 01:49:30 +00:00
Rasmus Munk Larsen
7b2901e2aa
Add vectorized integer division for int32 with AVX512, AVX or SSE.
2022-09-21 00:27:23 +00:00
Rasmus Munk Larsen
bd393e15c3
Vectorize acos, asin, and atan for float.
2022-08-29 19:49:33 +00:00
Charles Schlosser
e5af9f87f2
Vectorize pow for integer base / exponent types
2022-08-29 19:23:54 +00:00
Matthew Sterrett
7a3b667c43
Add support for AVX512-FP16 for vectorizing half precision math
2022-08-17 18:15:21 +00:00
Matthew Sterrett
39fcc89798
Removed unnecessary checks for FP16C
2022-08-16 18:14:41 +00:00
aaraujom
d49ede4dc4
Add AVX512 s/dgemm optimizations for compute kernel (2nd try)
2022-05-28 02:00:21 +00:00
Antonio Sánchez
9b9496ad98
Revert "Add AVX512 optimizations for matrix multiply"
...
This reverts commit 25db0b4a82
2022-05-13 18:50:33 +00:00
aaraujom
25db0b4a82
Add AVX512 optimizations for matrix multiply
2022-05-12 23:41:19 +00:00
Antonio Sánchez
07db964bde
Restrict new AVX512 trsm to AVX512VL, rename files for consistency.
2022-04-14 16:58:32 +00:00
Antonio Sánchez
9a14d91a99
Fix AVX512 builds with MSVC.
2022-03-18 16:04:53 +00:00
b-shi
518fc321cb
AVX512 Optimizations for Triangular Solve
2022-03-16 18:04:50 +00:00
Antonio Sánchez
e7f4a901ee
Define EIGEN_HAS_AVX512_MATH in PacketMath.
2022-02-04 22:25:52 +00:00
Antonio Sánchez
96da541cba
Fix AVX512 math function consistency, enable for ICC.
2022-02-04 19:35:18 +00:00
Rasmus Munk Larsen
51311ec651
Remove inline assembly for FMA (AVX) and add remaining extensions as packet ops: pmsub, pnmadd, and pnmsub.
2022-01-26 04:25:41 +00:00
Rasmus Munk Larsen
ea2c02060c
Add reciprocal packet op and fast specializations for float with SSE, AVX, and AVX512.
2022-01-21 23:49:18 +00:00
Ilya Tokar
a0fc640c18
Add support for packets of int64 on x86
2022-01-21 19:55:23 +00:00
Kolja Brix
afa616bc9e
Fix some typos found
2021-09-23 15:22:00 +00:00
Rasmus Munk Larsen
7b975acb1f
Remove unused variable.
2021-09-16 20:27:13 +00:00
Rasmus Munk Larsen
92849d814b
Remove unused variable.
2021-09-16 20:21:31 +00:00
Rasmus Munk Larsen
d7d0bf832d
Issue an error in case of direct inclusion of internal headers.
2021-09-10 19:12:26 +00:00
Antonio Sanchez
3d4ba855e0
Fix AVX integer packet issues.
...
Most are instances of AVX2 functions not protected by
`EIGEN_VECTORIZE_AVX2`. There was also a missing semi-colon
for AVX512.
2021-09-01 14:14:43 -07:00
Jakub Lichman
dc5b1f7d75
AVX512 and AVX2 support for Packet16i and Packet8i added
2021-08-25 19:38:23 +00:00
Gauri Deshpande
e6a5a594a7
remove denormal flushing in fp32tobf16 for avx & avx512
2021-08-09 22:15:21 +00:00
Jakub Lichman
d87648a6be
Tests added and AVX512 bug fixed for pcmp_lt_or_nan
2021-04-25 20:58:56 +00:00
Jakub Lichman
2b1dfd1ba0
HasExp added for AVX512 Packet8d
2021-04-20 19:07:58 +00:00
Antonio Sanchez
1d79c68ba0
Fix ldexp for AVX512 ( #2215 )
...
Wrong shuffle was used. Need to interleave low/high halves with a
`permute` instruction.
Fixes #2215 .
2021-04-20 16:25:22 +00:00
Christoph Hertzberg
69a4f70956
Revert "Uses _mm512_abs_pd for Packet8d pabs"
...
This reverts commit f019b97aca
2021-03-23 18:52:19 +00:00
Steve Bronder
f019b97aca
Uses _mm512_abs_pd for Packet8d pabs
2021-03-18 15:47:52 +00:00
Antonio Sanchez
7ff0b7a980
Updated pfrexp implementation.
...
The original implementation fails for 0, denormals, inf, and NaN.
See #2150
2021-02-17 02:23:24 +00:00
Antonio Sanchez
4cb563a01e
Fix ldexp implementations.
...
The previous implementations produced garbage values if the exponent did
not fit within the exponent bits. See #2131 for a complete discussion,
and !375 for other possible implementations.
Here we implement the 4-factor version. See `pldexp_impl` in
`GenericPacketMathFunctions.h` for a full description.
The SSE `pcmp*` methods were moved down since `pcmp_le<Packet4i>`
requires `por`.
Left as a "TODO" is to delegate to a faster version if we know the
exponent does fit within the exponent bits.
Fixes #2131 .
2021-02-10 22:45:41 +00:00
Rasmus Munk Larsen
cdd8fdc32e
Vectorize pow(x, y). This closes https://gitlab.com/libeigen/eigen/-/issues/2085 , which also contains a description of the algorithm.
...
I ran some testing (comparing to `std::pow(double(x), double(y)))` for `x` in the set of all (positive) floats in the interval `[std::sqrt(std::numeric_limits<float>::min()), std::sqrt(std::numeric_limits<float>::max())]`, and `y` in `{2, sqrt(2), -sqrt(2)}` I get the following error statistics:
```
max_rel_error = 8.34405e-07
rms_rel_error = 2.76654e-07
```
If I widen the range to all normal float I see lower accuracy for arguments where the result is subnormal, e.g. for `y = sqrt(2)`:
```
max_rel_error = 0.666667
rms = 6.8727e-05
count = 1335165689
argmax = 2.56049e-32, 2.10195e-45 != 1.4013e-45
```
which seems reasonable, since these results are subnormals with only couple of significant bits left.
2021-01-18 13:25:16 +00:00
Antonio Sanchez
839aa505c3
Fix typo in AVX512 packet math.
2020-12-11 21:35:44 -08:00
