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Based on new expf and exp2f code from https://github.com/ARM-software/optimized-routines/ with wrapper on aarch64: expf reciprocal-throughput: 2.3x faster expf latency: 1.7x faster without wrapper on aarch64: expf reciprocal-throughput: 3.3x faster expf latency: 1.7x faster without wrapper on aarch64: exp2f reciprocal-throughput: 2.8x faster exp2f latency: 1.3x faster libm.so size on aarch64: .text size: -152 bytes .rodata size: -1740 bytes expf/exp2f worst case nearest rounding error: 0.502 ulp worst case non-nearest rounding error: 1 ulp Error checks are inline and errno setting is in separate tail called functions, but the wrappers are kept in this patch to handle the _LIB_VERSION==_SVID_ case. (So e.g. errno is set twice for expf calls and once for __expf_finite calls on targets where the new code is used.) Double precision arithmetics is used which is expected to be faster on most targets (including soft-float) than using single precision and it is easier to get good precision result with it. Const data is kept in a separate translation unit which complicates maintenance a bit, but is expected to give good code for literal loads on most targets and allows sharing data across expf, exp2f and powf. (This data is disabled on i386, m68k and ia64 which have their own expf, exp2f and powf code.) Some details may need target specific tweaks: - best convert and round to int operation in the arg reduction may be different across targets. - code was optimized on fma target, optimal polynomial eval may be different without fma. - gcc does not always generate good code for fp bit representation access via unions or it may be inherently slow on some targets. The libm-test-ulps will need adjustment because.. - The argument reduction ideally uses nearest rounded rint, but that is not efficient on most targets, so the polynomial can get evaluated on a wider interval in non-nearest rounding mode making 1 ulp errors common in that case. - The polynomial is evaluated such that it may have 1 ulp error on negative tiny inputs with upward rounding. * math/Makefile (type-float-routines): Add math_errf and e_exp2f_data. * sysdeps/aarch64/fpu/math_private.h (TOINT_INTRINSICS): Define. (roundtoint, converttoint): Likewise. * sysdeps/ieee754/flt-32/e_expf.c: New implementation. * sysdeps/ieee754/flt-32/e_exp2f.c: New implementation. * sysdeps/ieee754/flt-32/e_exp2f_data.c: New file. * sysdeps/ieee754/flt-32/math_config.h: New file. * sysdeps/ieee754/flt-32/math_errf.c: New file. * sysdeps/ieee754/flt-32/t_exp2f.h: Remove. * sysdeps/i386/fpu/e_exp2f_data.c: New file. * sysdeps/i386/fpu/math_errf.c: New file. * sysdeps/ia64/fpu/e_exp2f_data.c: New file. * sysdeps/ia64/fpu/math_errf.c: New file. * sysdeps/m68k/m680x0/fpu/e_exp2f_data.c: New file. * sysdeps/m68k/m680x0/fpu/math_errf.c: New file.
README for libm-test math test suite ==================================== The libm-test math test suite tests a number of function points of math functions in the GNU C library. The following sections contain a brief overview. Please note that the test drivers and the Perl script "gen-libm-test.pl" have some options. A full list of options is available with --help (for the test drivers) and -h for "gen-libm-test.pl". What is tested? =============== The tests just evaluate the functions at specified points and compare the results with precomputed values and the requirements of the ISO C99 standard. Besides testing the special values mandated by IEEE 754 (infinities, NaNs and minus zero), some more or less random values are tested. Files that are part of libm-test ================================ The main files are "libm-test-<func>.inc". They are independent of the target platform and the specific real floating type and format and contain placeholder test "templates" for math functions defined in libm. These files, along with generated files named "auto-libm-test-out-<func>", are preprocessed by the Perl script "gen-libm-test.pl" to expand the templates and produce a set of test cases for each math function that are specific to the target platform but still independent of the real floating type. The results of the processing are "libm-test-<func>.c" and a file "libm-test-ulps.h" with platform specific deltas by which the actual math function results may deviate from the expected results and still be considered correct. The test drivers "test-double-<func>.c", "test-float-<func>.c", and "test-ldouble-<func>.c", generated by the Makefile, test the normal double, float and long double implementation of libm. The test drivers with an 'i' in their name ("test-idouble-<func>.c", "test-ifloat-<func>.c", and "test-ildoubl-<func>.c") test the corresponding inline functions (where available - otherwise they also test the real functions in libm). Each driver selects the desired real floating type to exercise the math functions to test with (float, double, or long double) by defining a small set of macros just before including the generic "libm-test.c" file. Each driver also either defines or undefines the __NO_MATH_INLINES macro just before including "libm-test-<func>.c" to select either the real or inline functions, respectively. Each driver is compiled into a single executable test program with the corresponding name. As mentioned above, the "gen-libm-test.pl" script looks for a file named "libm-test-ulps" in the platform specific sysdep directory (or its fpu or nofpu subdirectory) and for each variant (real floating type and rounding mode) of every tested function reads from it the maximum difference expressed as Units of Least Precision (ULP) the actual result of the function may deviate from the expected result before it's considered incorrect. The "auto-libm-test-out-<func>" files contain sets of test cases to exercise, the conditions under which to exercise each, and the expected results. The files are generated by the "gen-auto-libm-tests" program from the "auto-libm-test-in" file. See the comments in gen-auto-libm-tests.c for details about the content and format of the -in and -out files. How can I generate "libm-test-ulps"? ==================================== To automatically generate a new "libm-test-ulps" run "make regen-ulps". This generates the file "math/NewUlps" in the build directory. The file contains the sorted results of all the tests. You can use the "NewUlps" file as the machine's updated "libm-test-ulps" file. Copy "NewUlps" to "libm-test-ulps" in the appropriate machine sysdep directory. Verify the changes, post your patch, and check it in after review. To manually generate a new "libm-test-ulps" file, first remove "ULPs" file in the current directory, then you can execute for example: ./testrun.sh math/test-double -u --ignore-max-ulp=yes This generates a file "ULPs" with all double ULPs in it, ignoring any previously calculated ULPs, and running with the newly built dynamic loader and math library (assumes you didn't install your build). Now generate the ULPs for all other formats, the tests will be appending the data to the "ULPs" file. As final step run "gen-libm-test.pl" with the file as input and ask to generate a pretty printed output in the file "NewUlps": gen-libm-test.pl -u ULPs -n NewUlps Copy "NewUlps" to "libm-test-ulps" in the appropriate machine sysdep directory. Note that the test drivers have an option "-u" to output an unsorted list of all epsilons that the functions have. The output can be read in directly but it's better to pretty print it first. "gen-libm-test.pl" has an option to generate a pretty-printed and sorted new ULPs file from the output of the test drivers. Contents of libm-test-ulps ========================== Since libm-test-ulps can be generated automatically, just a few notes. The file contains lines for maximal errors of single functions, like: Function "yn": idouble: 6 The keywords are float, ifloat, double, idouble, ldouble and ildouble (the prefix i stands for inline). Adding tests to libm-test-<func>.inc ==================================== The tests are evaluated by a set of special test macros. The macros start with "TEST_" followed by a specification the input values, an underscore and a specification of the output values. As an example, the test macro for a function with input of type FLOAT (FLOAT is either float, double, long double) and output of type FLOAT is "TEST_f_f". The macro's parameter are the name of the function, the input parameter, output parameter and optionally one exception parameter. The accepted parameter types are: - "f" for FLOAT - "j" for long double. - "b" for boolean - just tests if the output parameter evaluates to 0 or 1 (only for output). - "c" for complex. This parameter needs two values, first the real, then the imaginary part. - "i" for int. - "l" for long int. - "L" for long long int. - "u" for unsigned int. - "M" for intmax_t. - "U" for uintmax_t. - "p" for an argument (described in the previous character) passed through a pointer rather than directly. - "F" for the address of a FLOAT (only as input parameter) - "I" for the address of an int (only as input parameter) - "1" for an additional output (either output through a pointer passed as an argument, or to a global variable such as signgam). How to read the test output =========================== Running each test on its own at the default level of verbosity will print on stdout a line describing the implementation of math functions exercised by the test (float, double, or long double), along with whether the inline set has been selected, regardless of whether or not any inline functions actually exist. This is then followed by the details of test failures (if any). The output concludes by a summary listing the number of test cases exercised and the number of test failures uncovered. For each test failure (and for each test case at higher levels of verbosity), the output contains the name of the function under test and its arguments or conditions that triggered the failure. Note that the name of the function in the output need not correspond exactly to the name of the math function actually invoked. For example, the output will refer to the "acos" function even if the actual function under test is acosf (for the float version) or acosl (for the long double version). Also note that the function arguments may be shown in either the decimal or the hexadecimal floating point format which may or may not correspond to the format used in the auto-libm-test-in file. Besides the name of the function, for each test failure the output contains the actual and expected results and the difference between the two, printed in both the decimal and hexadecimal floating point format, and the ULP and maximum ULP for the test case.