| Commit message (Collapse) | Author | Age |
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division.
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We can't make guarantees on alignment for existing calls to `pset`,
so we should default to loading unaligned. But in that case, we should
just use `ploadu` directly. For loading constants, this load should hopefully
get optimized away.
This is causing segfaults in Google Maps.
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The original implementation fails for 0, denormals, inf, and NaN.
See #2150
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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.
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2)make paddsub op support the Packet2cf/Packet4f/Packet2f in NEON
3)make paddsub op support the Packet2cf/Packet4f in SSE
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Closes #1905
Measured speedup for sqrt of `complex<float>` on Skylake:
SSE:
```
name old time/op new time/op delta
BM_eigen_sqrt_ctype/1 49.4ns ± 0% 54.3ns ± 0% +10.01%
BM_eigen_sqrt_ctype/8 332ns ± 0% 50ns ± 1% -84.97%
BM_eigen_sqrt_ctype/64 2.81µs ± 1% 0.38µs ± 0% -86.49%
BM_eigen_sqrt_ctype/512 23.8µs ± 0% 3.0µs ± 0% -87.32%
BM_eigen_sqrt_ctype/4k 202µs ± 0% 24µs ± 2% -88.03%
BM_eigen_sqrt_ctype/32k 1.63ms ± 0% 0.19ms ± 0% -88.18%
BM_eigen_sqrt_ctype/256k 13.0ms ± 0% 1.5ms ± 1% -88.20%
BM_eigen_sqrt_ctype/1M 52.1ms ± 0% 6.2ms ± 0% -88.18%
```
AVX2:
```
name old cpu/op new cpu/op delta
BM_eigen_sqrt_ctype/1 53.6ns ± 0% 55.6ns ± 0% +3.71%
BM_eigen_sqrt_ctype/8 334ns ± 0% 27ns ± 0% -91.86%
BM_eigen_sqrt_ctype/64 2.79µs ± 0% 0.22µs ± 2% -92.28%
BM_eigen_sqrt_ctype/512 23.8µs ± 1% 1.7µs ± 1% -92.81%
BM_eigen_sqrt_ctype/4k 201µs ± 0% 14µs ± 1% -93.24%
BM_eigen_sqrt_ctype/32k 1.62ms ± 0% 0.11ms ± 1% -93.29%
BM_eigen_sqrt_ctype/256k 13.0ms ± 0% 0.9ms ± 1% -93.31%
BM_eigen_sqrt_ctype/1M 52.0ms ± 0% 3.5ms ± 1% -93.31%
```
AVX512:
```
name old cpu/op new cpu/op delta
BM_eigen_sqrt_ctype/1 53.7ns ± 0% 56.2ns ± 1% +4.75%
BM_eigen_sqrt_ctype/8 334ns ± 0% 18ns ± 2% -94.63%
BM_eigen_sqrt_ctype/64 2.79µs ± 0% 0.12µs ± 1% -95.54%
BM_eigen_sqrt_ctype/512 23.9µs ± 1% 1.0µs ± 1% -95.89%
BM_eigen_sqrt_ctype/4k 202µs ± 0% 8µs ± 1% -96.13%
BM_eigen_sqrt_ctype/32k 1.63ms ± 0% 0.06ms ± 1% -96.15%
BM_eigen_sqrt_ctype/256k 13.0ms ± 0% 0.5ms ± 4% -96.11%
BM_eigen_sqrt_ctype/1M 52.1ms ± 0% 2.0ms ± 1% -96.13%
```
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This reverts commit 4d91519a9be061da5d300079fca17dd0b9328050.
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This reverts commit c770746d709686ef2b8b652616d9232f9b028e78.
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The `half_float` test was failing with `-mcpu=cortex-a55` (native `__fp16`) due
to a bad NaN bit-pattern comparison (in the case of casting a float to `__fp16`,
the signaling `NaN` is quieted). There was also an inconsistency between
`numeric_limits<half>::quiet_NaN()` and `NumTraits::quiet_NaN()`. Here we
correct the inconsistency and compare NaNs according to the IEEE 754
definition.
Also modified the `bfloat16_float` test to match.
Tested with `cortex-a53` and `cortex-a55`.
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GenericPacketMathFunctions.
Another solution would have been to make pshift* fully generic template functions with
partial specialization which is always a mess in c++03.
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Rasmus Munk Larsen
Antonio Sanchez
Guoqiang QI
Gael Guennebaud