1. Also generate .d dependency files for $(tests-container) and
$(tests-printers).
2. elf: Add tst-auditmod17.os to extra-test-objs.
3. iconv: Add tst-gconv-init-failure-mod.os to extra-test-objs.
4. malloc: Rename extra-tests-objs to extra-test-objs.
5. linux: Add tst-sysconf-iov_max-uapi.o to extra-test-objs.
6. x86_64: Add tst-x86_64mod-1.o, tst-platformmod-2.o, test-libmvec.o,
test-libmvec-avx.o, test-libmvec-avx2.o and test-libmvec-avx512f.o to
extra-test-objs.
Reviewed-by: Carlos O'Donell <carlos@redhat.com>
Add vector tan/tanf and input files to libmvec microbenchmark.
libmvec-tan-inputs:
90% Normal random distribution
range: (-DBL_MAX, DBL_MAX)
mean: 0.0
sigma: 5.0
10% uniform random distribution in range (-1000.0, 1000.0)
libmvec-tanf-inputs:
90% Normal random distribution
range: (-FLT_MAX, FLT_MAX)
mean: 0.0f
sigma: 5.0f
10% uniform random distribution in range (-1000.0f, 1000.0f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector erfc/erfcf and input files to libmvec microbenchmark.
libmvec-erfc-inputs:
90% Normal random distribution
range: (-6.0, 6.0)
mean: 0.0
sigma: 1.0
10% uniform random distribution in range (-5.9, 5.9)
libmvec-erfcf-inputs:
90% Normal random distribution
range: (-4.0f, 4.0f)
mean: 0.0f
sigma: 1.0f
10% uniform random distribution in range (-3.9f, 3.9f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector asinh/asinhf and input files to libmvec microbenchmark.
libmvec-asinh-inputs:
90% Normal random distribution
range: (-DBL_MAX, DBL_MAX)
mean: 0.0
sigma: 2.0
10% uniform random distribution in range (-1.0e6, 1.0e6)
libmvec-asinhf-inputs:
90% Normal random distribution
range: (-FLT_MAX, FLT_MAX)
mean: 0.0f
sigma: 2.0f
10% uniform random distribution in range (-1.0e6f, 1.0e6f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector tanh/tanhf and input files to libmvec microbenchmark.
libmvec-tanh-inputs:
90% Normal random distribution
range: (-19.0, 19.0)
mean: 0.0
sigma: 2.0
10% uniform random distribution in range (-16.0, 16.0)
libmvec-tanhf-inputs:
90% Normal random distribution
range: (-10.0f, 10.0f)
mean: 0.0f
sigma: 2.0f
10% uniform random distribution in range (-8.0f, 8.0f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector erf/erff and input files to libmvec microbenchmark.
libmvec-erf-inputs:
90% Normal random distribution
range: (-6.0, 6.0)
mean: 0.0
sigma: 1.0
10% uniform random distribution in range (-5.9, 5.9)
libmvec-erff-inputs:
90% Normal random distribution
range: (-4.0f, 4.0f)
mean: 0.0f
sigma: 1.0f
10% uniform random distribution in range (-3.9f, 3.9f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector acosh/acoshf and input files to libmvec microbenchmark.
libmvec-acosh-inputs:
90% Normal random distribution
range: (1.0, DBL_MAX)
mean: 1.0
sigma: 8.0
10% uniform random distribution in range (1.0, 1.0e6)
libmvec-acoshf-inputs:
90% Normal random distribution
range: (1.0f, FLT_MAX)
mean: 1.0f
sigma: 4.0f
10% uniform random distribution in range (1.0f, 1.0e6f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector atanh/atanhf and input files to libmvec microbenchmark.
libmvec-atanh-inputs:
90% Normal random distribution
range: (-1.0, 1.0)
mean: 0.0
sigma: 1.0
10% uniform random distribution in range (-1.0, 1.0)
libmvec-atanhf-inputs:
90% Normal random distribution
range: (-1.0f, 1.0f)
mean: 0.0f
sigma: 1.0f
10% uniform random distribution in range (-1.0f, 1.0f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector log1p/log1pf and input files to libmvec microbenchmark.
libmvec-log1p-inputs:
70% Normal random distribution
range: (-1.0, DBL_MAX)
mean: 0.0
sigma: 50.0
30% uniform random distribution in range (-1.0, 1.0e6)
libmvec-log1pf-inputs:
70% Normal random distribution
range: (-1.0f, FLT_MAX)
mean: 0.0f
sigma: 50.0f
30% uniform random distribution in range (-1.0f, 1.0e6f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector log2/log2f and input files to libmvec microbenchmark.
libmvec-log2-inputs:
70% Normal random distribution
range: (0.0, DBL_MAX)
mean: 1.0
sigma: 50.0
30% uniform random distribution in range (0.0, 1.0e6)
libmvec-log2f-inputs:
70% Normal random distribution
range: (0.0f, FLT_MAX)
mean: 1.0f
sigma: 50.0f
30% uniform random distribution in range (0.0f, 1.0e6f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector log10/log10f and input files to libmvec microbenchmark.
libmvec-log10-inputs:
70% Normal random distribution
range: (0.0, DBL_MAX)
mean: 1.0
sigma: 50.0
30% uniform random distribution in range (0.0, 1.0e6)
libmvec-log10f-inputs:
70% Normal random distribution
range: (0.0f, FLT_MAX)
mean: 1.0f
sigma: 50.0f
30% uniform random distribution in range (0.0f, 1.0e6f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector atan2/atan2f and input files to libmvec microbenchmark.
libmvec-atan2-inputs:
arg1:
90% Normal random distribution
range: (-DBL_MAX, DBL_MAX)
mean: 0.0
sigma: 4.0
10% uniform random distribution in range (-1.0e6, 1.0e6)
arg2:
90% Normal random distribution
range: (-DBL_MAX, DBL_MAX)
mean: 0.0
sigma: 4.0
10% uniform random distribution in range (-1.0e6, 1.0e6)
libmvec-atan2f-inputs:
arg1:
90% Normal random distribution
range: (-FLT_MAX, FLT_MAX)
mean: 0.0f
sigma: 4.0f
10% uniform random distribution in range (-1.0e6f, 1.0e6f)
arg2:
90% Normal random distribution
range: (-FLT_MAX, FLT_MAX)
mean: 0.0f
sigma: 4.0f
10% uniform random distribution in range (-1.0e6f, 1.0e6f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector cbrt/cbrtf and input files to libmvec microbenchmark.
libmvec-cbrt-inputs:
90% Normal random distribution
range: (-DBL_MAX, DBL_MAX)
mean: 0.0
sigma: 10.0
10% uniform random distribution in range (-1000.0, 1000.0)
libmvec-cbrtf-inputs:
90% Normal random distribution
range: (-FLT_MAX, FLT_MAX)
mean: 0.0f
sigma: 10.0f
10% uniform random distribution in range (-1000.0f, 1000.0f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector sinh/sinhf and input files to libmvec microbenchmark.
libmvec-sinh-inputs:
90% Normal random distribution
range: (-710.0, 710.0)
mean: 0.0
sigma: 32.0
10% uniform random distribution in range (-500.0, 500.0)
libmvec-sinhf-inputs:
90% Normal random distribution
range: (-89.0f, 89.0f)
mean: 0.0f
sigma: 16.0f
10% uniform random distribution in range (-50.0f, 50.0f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector expm1/expm1f and input files to libmvec microbenchmark.
libmvec-expm1-inputs:
90% Normal random distribution
range: (-708.0, 709.0)
mean: 0.0
sigma: 16.0
10% uniform random distribution in range (-500.0, 500.0)
libmvec-expm1f-inputs:
90% Normal random distribution
range: (-87.0f, 88.0f)
mean: 0.0f
sigma: 8.0f
10% uniform random distribution in range (-50.0f, 50.0f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector cosh/coshf and input files to libmvec microbenchmark.
libmvec-cosh-inputs:
90% Normal random distribution
range: (-710.0, 710.0)
mean: 0.0
sigma: 32.0
10% uniform random distribution in range (-500.0, 500.0)
libmvec-coshf-inputs:
90% Normal random distribution
range: (-89.0f, 89.0f)
mean: 0.0f
sigma: 16.0f
10% uniform random distribution in range (-50.0f, 50.0f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector exp10/exp10f and input files to libmvec microbenchmark.
libmvec-exp10-inputs:
90% Normal random distribution
range: (-307.0, 308.0)
mean: 0.0
sigma: 16.0
10% uniform random distribution in range (-250.0, 250.0)
libmvec-exp10f-inputs:
90% Normal random distribution
range: (-37.0f, 38.0f)
mean: 0.0f
sigma: 8.0f
10% uniform random distribution in range (-25.0f, 25.0f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector exp2/exp2f and input files to libmvec microbenchmark.
libmvec-exp2-inputs:
90% Normal random distribution
range: (-1022.0, 1024.0)
mean: 0.0
sigma: 16.0
10% uniform random distribution in range (-1000.0, 1000.0)
libmvec-exp2f-inputs:
90% Normal random distribution
range: (-126.0f, 128.0f)
mean: 0.0f
sigma: 8.0f
10% uniform random distribution in range (-100.0f, 100.0f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector hypot/hypotf and input files to libmvec microbenchmark.
libmvec-hypot-inputs:
arg1:
90% Normal random distribution
range: (-DBL_MAX, DBL_MAX)
mean: 0.0
sigma: 10.0
10% uniform random distribution in range (-1000.0, 1000.0)
arg1:
90% Normal random distribution
range: (-DBL_MAX, DBL_MAX)
mean: 0.0
sigma: 10.0
10% uniform random distribution in range (-1000.0, 1000.0)
libmvec-hypotf-inputs:
arg1:
90% Normal random distribution
range: (-FLT_MAX, FLT_MAX)
mean: 0.0f
sigma: 10.0f
10% uniform random distribution in range (-1000.0f, 1000.0f)
arg2:
90% Normal random distribution
range: (-FLT_MAX, FLT_MAX)
mean: 0.0f
sigma: 10.0f
10% uniform random distribution in range (-1000.0f, 1000.0f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector asin/asinf and input files to libmvec microbenchmark.
libmvec-asin-inputs:
90% Normal random distribution
range: (-1.0, 1.0)
mean: 0.0
sigma: 1.0
10% uniform random distribution in range (-1.0, 1.0)
libmvec-asinf-inputs:
90% Normal random distribution
range: (-1.0f, 1.0f)
mean: 0.0f
sigma: 1.0f
10% uniform random distribution in range (-1.0f, 1.0f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector atan/atanf and input files to libmvec microbenchmark.
libmvec-atan-inputs:
arg1:
90% Normal random distribution
range: (-DBL_MAX, DBL_MAX)
mean: 0.0
sigma: 4.0
10% uniform random distribution in range (-1.0e6, 1.0e6)
arg2:
90% Normal random distribution
range: (-DBL_MAX, DBL_MAX)
mean: 0.0
sigma: 4.0
10% uniform random distribution in range (-1.0e6, 1.0e6)
libmvec-atanf-inputs:
arg1:
90% Normal random distribution
range: (-FLT_MAX, FLT_MAX)
mean: 0.0f
sigma: 4.0f
10% uniform random distribution in range (-1.0e6f, 1.0e6f)
arg2:
90% Normal random distribution
range: (-FLT_MAX, FLT_MAX)
mean: 0.0f
sigma: 4.0f
10% uniform random distribution in range (-1.0e6f, 1.0e6f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector acos/acosf and input files to libmvec microbenchmark.
libmvec-acos-inputs:
90% Normal random distribution
range: (-1.0, 1.0)
mean: 0.0
sigma: 1.0
10% uniform random distribution in range (-1.0, 1.0)
libmvec-acosf-inputs:
90% Normal random distribution
range: (-1.0f, 1.0f)
mean: 0.0f
sigma: 1.0f
10% uniform random distribution in range (-1.0f, 1.0f)
Reviewed-by: Noah Goldstein <goldstein.w.n@gmail.com>
I used these shell commands:
../glibc/scripts/update-copyrights $PWD/../gnulib/build-aux/update-copyright
(cd ../glibc && git commit -am"[this commit message]")
and then ignored the output, which consisted lines saying "FOO: warning:
copyright statement not found" for each of 7061 files FOO.
I then removed trailing white space from math/tgmath.h,
support/tst-support-open-dev-null-range.c, and
sysdeps/x86_64/multiarch/strlen-vec.S, to work around the following
obscure pre-commit check failure diagnostics from Savannah. I don't
know why I run into these diagnostics whereas others evidently do not.
remote: *** 912-#endif
remote: *** 913:
remote: *** 914-
remote: *** error: lines with trailing whitespace found
...
remote: *** error: sysdeps/unix/sysv/linux/statx_cp.c: trailing lines
Implement vectorized tan/tanf containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector tan/tanf with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Implement vectorized erfc/erfcf containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector erfc/erfcf with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Implement vectorized asinh/asinhf containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector asinh/asinhf with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Implement vectorized tanh/tanhf containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector tanh/tanhf with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Implement vectorized erf/erff containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector erf/erff with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Implement vectorized acosh/acoshf containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector acosh/acoshf with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Implement vectorized atanh/atanhf containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector atanh/atanhf with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Implement vectorized log1p/log1pf containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector log1p/log1pf with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Implement vectorized log2/log2f containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector log2/log2f with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Implement vectorized log10/log10f containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector log10/log10f with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Implement vectorized atan2/atan2f containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector atan2/atan2f with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Implement vectorized cbrt/cbrtf containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector cbrt/cbrtf with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Implement vectorized sinh/sinhf containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector sinh/sinhf with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Implement vectorized expm1/expm1f containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector expm1/expm1f with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Implement vectorized cosh/coshf containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector cosh/coshf with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Implement vectorized exp10/exp10f containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector exp10/exp10f with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Implement vectorized exp2/exp2f containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector exp2/exp2f with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Implement vectorized hypot/hypotf containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector hypot/hypotf with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Implement vectorized asin/asinf containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector asin/asinf with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Implement vectorized atan/atanf containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector atan/atanf with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Implement vectorized acos/acosf containing SSE, AVX, AVX2 and
AVX512 versions for libmvec as per vector ABI. It also contains
accuracy and ABI tests for vector acos/acosf with regenerated ulps.
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector sin/sinf and input files to libmvec microbenchmark.
libmvec-sin-inputs:
90% Normal random distribution
range: (-DBL_MAX, DBL_MAX)
mean: 0.0
sigma: 5.0
10% uniform random distribution in range (-1000.0, 1000.0)
libmvec-sinf-inputs:
90% Normal random distribution
range: (-FLT_MAX, FLT_MAX)
mean: 0.0f
sigma: 5.0f
10% uniform random distribution in range (-1000.0f, 1000.0f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector pow/powf and input files to libmvec microbenchmark.
libmvec-pow-inputs:
arg1:
90% Normal random distribution
range: (0.0, 256.0)
mean: 0.0
sigma: 32.0
10% uniform random distribution in range (0.0, 256.0)
arg2:
90% Normal random distribution
range: (-127.0, 127.0)
mean: 0.0
sigma: 16.0
10% uniform random distribution in range (-127.0, 127.0)
libmvec-powf-inputs:
arg1:
90% Normal random distribution
range: (0.0f, 100.0f)
mean: 0.0f
sigma: 16.0f
10% uniform random distribution in range (0.0f, 100.0f)
arg2:
90% Normal random distribution
range: (-10.0f, 10.0f)
mean: 0.0f
sigma: 8.0f
10% uniform random distribution in range (-10.0f, 10.0f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector log/logf and input files to libmvec microbenchmark.
libmvec-log-inputs:
70% Normal random distribution
range: (0.0, DBL_MAX)
mean: 1.0
sigma: 50.0
30% uniform random distribution in range (0.0, DBL_MAX)
libmvec-logf-inputs:
70% Normal random distribution
range: (0.0f, FLT_MAX)
mean: 1.0f
sigma: 50.0f
30% uniform random distribution in range (0.0f, FLT_MAX)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector exp/expf and input files to libmvec microbenchmark.
libmvec-exp-inputs:
90% Normal random distribution
range: (-708.0, 709.0)
mean: 0.0
sigma: 16.0
10% uniform random distribution in range (-500.0, 500.0)
libmvec-expf-inputs:
90% Normal random distribution
range: (-87.0f, 88.0f)
mean: 0.0f
sigma: 8.0f
10% uniform random distribution in range (-50.0f, 50.0f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add vector cos/cosf and input files to libmvec microbenchmark.
libmvec-cos-inputs:
90% Normal random distribution
range: (-DBL_MAX, DBL_MAX)
mean: 0.0
sigma: 5.0
10% uniform random distribution in range (-1000.0, 1000.0)
libmvec-cosf-inputs:
90% Normal random distribution
range: (-FLT_MAX, FLT_MAX)
mean: 0.0f
sigma: 5.0f
10% uniform random distribution in range (-1000.0f, 1000.0f)
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
Add python script to generate libmvec microbenchmark from the input
values for each libmvec function using skeleton benchmark template.
Creates double and float benchmarks with vector length 1, 2, 4, 8,
and 16 for each libmvec function. Vector length 1 corresponds to
scalar version of function and is included for vector function perf
comparison.
Co-authored-by: Haochen Jiang <haochen.jiang@intel.com>
Reviewed-by: H.J. Lu <hjl.tools@gmail.com>
