[Beignet] [PATCH v5] Add test cases generator.
Zou, Nanhai
nanhai.zou at intel.com
Thu Dec 26 22:38:24 PST 2013
Hi Yi,
It seems that this patch breaks make -jx
Can you have a check?
Thanks
Zou Nanhai
-----Original Message-----
From: beignet-bounces at lists.freedesktop.org [mailto:beignet-bounces at lists.freedesktop.org] On Behalf Of Zhigang Gong
Sent: Wednesday, December 25, 2013 2:01 PM
To: Sun, Yi
Cc: Song, Ruiling; beignet at lists.freedesktop.org; Shui, YangweiX
Subject: Re: [Beignet] [PATCH v5] Add test cases generator.
Pushed, thanks.
On Tue, Dec 24, 2013 at 11:15:18AM +0800, Yi Sun wrote:
> v1:
> File utest_generator.py contain the base class and function for generating
> File utest_math_gen.py can generate most math function for all the gentype
> utest_math_gen.py can be run during cmake.
>
> v2:
> 1. Put all the generated unit test cases to folder utest/generated.
> 2. Delete all generated folder while involve make clean.
> 3. At the top of the generated test cases, add some comments
> 4. Instead of defined FLT_ULP(0.000001) as the ulp unit, caculate the float ulp before using it.
> 5. Add several math functions' test case.
>
> v3:
> 1. Refine the calculation for float, and calculate each float got from cpu function.
>
> v4:
> Refine the calculation for float.
>
> Following fucntions test cases fail with input 0, 1 or 3.14:
> builtin_atan2_float
> builtin_atanh_float
> builtin_rootn_float
> builtin_cos_float
> builtin_cospi_float
> builtin_erf_float
> builtin_erfc_float
> builtin_mad_float
> builtin_nextafter_float
> builtin_pown_float
> builtin_powr_float
> builtin_rint_float
> builtin_sinpi_float
> builtin_tan_float
> builtin_tanpi_float
>
> v5:
> remove case builtin_mad_float
>
> todo:
> atan2pi
> fmax
> fmin
> sincos
>
> Signed-off-by: Yi Sun <yi.sun at intel.com>
> Signed-off-by: Yangwei Shui <yangweix.shui at intel.com>
> ---
> utests/CMakeLists.txt | 9 +
> utests/utest_generator.py | 374 +++++++++++++++++++++++++++++++
> utests/utest_helper.cpp | 30 +++
> utests/utest_helper.hpp | 6 +
> utests/utest_math_gen.py | 531
> +++++++++++++++++++++++++++++++++++++++++++++
> 5 files changed, 950 insertions(+), 0 deletions(-) create mode
> 100644 utests/utest_generator.py create mode 100755
> utests/utest_math_gen.py
>
> diff --git a/utests/CMakeLists.txt b/utests/CMakeLists.txt index
> 5e0bc19..836c80d 100644
> --- a/utests/CMakeLists.txt
> +++ b/utests/CMakeLists.txt
> @@ -1,10 +1,19 @@
> INCLUDE_DIRECTORIES(${CMAKE_CURRENT_SOURCE_DIR}
> ${CMAKE_CURRENT_SOURCE_DIR}/../include)
>
> +EXEC_PROGRAM(mkdir ${CMAKE_CURRENT_SOURCE_DIR} ARGS generated -p)
> +##### Math Function Part:
> +EXEC_PROGRAM(python ${CMAKE_CURRENT_SOURCE_DIR} ARGS
> +utest_math_gen.py OUTPUT_VARIABLE GEN_MATH_STRING) string(REGEX
> +REPLACE " " ";" ADDMATHFUNC ${GEN_MATH_STRING}) string(REGEX REPLACE
> +" " "\n" NAMEMATHLIST ${GEN_MATH_STRING}) MESSAGE(STATUS "Generated
> +Builtin Math Functions:\n" ${NAMEMATHLIST})
> +set_directory_properties(PROPERTIES ADDITIONAL_MAKE_CLEAN_FILES
> +generated/)
> +
> link_directories (${LLVM_LIBRARY_DIR}) set (utests_sources
> cl_create_kernel.cpp
> utest_error.c
> + ${ADDMATHFUNC}
> compiler_basic_arithmetic.cpp
> compiler_displacement_map_element.cpp
> compiler_shader_toy.cpp
> diff --git a/utests/utest_generator.py b/utests/utest_generator.py new
> file mode 100644 index 0000000..626ac96
> --- /dev/null
> +++ b/utests/utest_generator.py
> @@ -0,0 +1,374 @@
> +#!/usr/bin/python
> +import os,sys,re
> +
> +FLT_MAX_POSI='0x1.fffffep127f'
> +FLT_MIN_NEGA='-0x1.fffffep127f'
> +FLT_MIN_POSI='0x1.0p-126f'
> +FLT_MAX_NEGA='-0x1.0p-126f'
> +
> +paraTypeList={'float':'%.20f','int':'%d','double':'%lf','uint':'%d','
> +string':'%s'}
> +
> +
> +def ulpUnit(ulpSize):
> + return re.findall(r"([a-zA-Z_]+)",ulpSize)[0]
> +
> +def ulpNum(ulpSize):
> + return re.findall(r"([0-9]+)",ulpSize)[0]
> +
> +def udebug(ulpSize,returnType):
> + #ulpUnit=re.findall(r"([a-zA-Z_]+)",ulpSize)[0]
> + #ulpNum=re.findall(r"([0-9]+)",ulpSize)[0]
> + text='''
> + static const char* INFORNAN;
> + static %s ULPSIZE;
> +
> + if (isinf(cpu_data[index])){
> + INFORNAN="INF";
> + }
> + else if (isnan(cpu_data[index])){
> + INFORNAN="NAN";
> + }
> + else{
> + ULPSIZE=cl_%s(cpu_data[index]) * %s;
> + }
> +
> +#if udebug
> + if (isinf(cpu_data[index])){
> + if (isinf(gpu_data[index]))
> + printf("%s expect:%s\\n", log, INFORNAN);
> + else
> + printf_c("%s expect:%s\\n", log, INFORNAN);
> + }
> + else if (isnan(cpu_data[index])){
> + if (isnan(gpu_data[index]))
> + printf("%s expect:%s\\n", log, INFORNAN);
> + else
> + printf_c("%s expect:%s\\n", log, INFORNAN);
> + }
> + else if (diff <= ULPSIZE){
> + printf("%s expect:%s\\n", log, ULPSIZE);
> + }
> + else
> + printf_c("%s expect:%s\\n", log, ULPSIZE); #else
> + if (isinf(cpu_data[index])){
> + sprintf(log, "%s expect:%s\\n", log, INFORNAN);
> + OCL_ASSERTM(isinf(gpu_data[index]),log);
> + }
> + else if (isnan(cpu_data[index])){
> + sprintf(log, "%s expect:%s\\n", log, INFORNAN);
> + OCL_ASSERTM(isnan(gpu_data[index]),log);
> + }
> + else{
> + sprintf(log, "%s expect:%s\\n", log, ULPSIZE);
> + OCL_ASSERTM(fabs(gpu_data[index]-cpu_data[index]) <= ULPSIZE, log);
> + }
> +#endif
> + }
> +}\n'''%(returnType,\
> + ulpUnit(ulpSize),ulpNum(ulpSize),\
> + paraTypeList['string'],paraTypeList['string'],\
> + paraTypeList['string'],paraTypeList['string'],\
> + paraTypeList['string'],paraTypeList['string'],\
> + paraTypeList['string'],paraTypeList['string'],\
> + paraTypeList['string'],paraTypeList['%s'%(returnType)],\
> + paraTypeList['string'],paraTypeList['%s'%(returnType)],\
> + paraTypeList['string'],paraTypeList['string'],\
> + paraTypeList['string'],paraTypeList['string'],\
> + paraTypeList['string'],paraTypeList['%s'%(returnType)])
> +
> + return text
> +
> +def gene2ValuesLoop(values1,values2,inputValues):
> + values2=values2+inputValues*len(inputValues)
> +
> + for i in inputValues:
> + for j in range(0,len(inputValues)):
> + values1 += [i]
> +
> + return values1,values2
> +
> +def gene3ValuesLoop(values1,values2,values3,inputValues):
> + for i in inputValues:
> + for j in range(0,len(inputValues)):
> + for k in range(0,len(inputValues)):
> + values1 += [i]
> +
> + for i in inputValues:
> + for j in inputValues:
> + for k in range(0,len(inputValues)):
> + values2 += [j]
> +
> + values3=inputValues*(len(inputValues)**2)
> + return values1,values2,values3
> +
> +class func:
> + """ This class will define all needed instance attribute in fundation a c programing file. """
> +
> + def __init__(self,name,cpuFuncName,inputType,outputType,values,ulp, cpu_func=''):
> + self.funcName = name
> + self.cpuFuncName = cpuFuncName
> + self.fileName = 'builtin_'+name
> + self.inputtype = inputType
> + self.outputtype = outputType
> + self.values = values
> + self.ulp = ulp
> + self.cpufunc=cpu_func
> + self.cpplines = []
> +
> +#####cpp file required information:
> + self.Head='''/*
> +This file is generated by utest_generator.py.
> +Usually you need NOT modify this file manually.
> +But when any bug occured, you can change the value of udebug from 0
> +to 1, which can print more values and information to assist debuging the issue.
> +*/
> +
> +#include "utest_helper.hpp"
> +#include <stdio.h>
> +#include <math.h>
> +#include <algorithm>
> +
> +#define udebug 0
> +#define FLT_MAX 0x1.fffffep127f
> +#define FLT_MIN 0x1.0p-126f
> +#define INT_ULP 0
> +
> +#define printf_c(...) \\
> +{\\
> + printf("\\033[1m\\033[40;31m");\\
> + printf( __VA_ARGS__ );\\
> + printf("\\033[0m");\\
> +}
> +'''
> + #########Execute class itself
> + self.geneProcess()
> +
> +#####Computer vector && argument type:
> + def argtype(self,paraN,index):
> + return re.findall(r"[a-zA-Z_]+",self.inputtype[paraN][index])[0]
> +
> + def argvector(self,paraN,index):
> + vector=re.findall(r"[0-9]+",self.inputtype[paraN][index])
> + if vector:
> + vector=vector[0]
> + else:
> + vector=1
> + return vector
> +
> + def returnVector(self,index):
> + returnVector=re.findall(r"[0-9]+",self.outputtype[index])
> + if returnVector:
> + returnVector=returnVector[0]
> + else:
> + returnVector=1
> + return returnVector
> +
> + def retType(self,index):
> + return re.findall("[a-zA-Z_]+",self.outputtype[index])[0]
> +
> + def inputNumFormat(self,paraN,index):
> + return paraTypeList['%s'%(self.argtype(paraN,index))]
> +
> + def outputNumFormat(self,index):
> + return paraTypeList['%s'%(self.retType(index))]
> +
> +#####Cpu values analyse
> + def GenInputValues(self,index):
> + #namesuffix=self.inputtype[0][index]
> + for i in range(0,self.values.__len__()):
> + self.cpplines += [ "const %s input_data%d[] = {%s};" %(self.argtype(i,index),i+1,str(self.values[i]).strip('[]').replace('\'','')) ]
> + self.cpplines += [ "const int count_input = sizeof(input_data1) / sizeof(input_data1[0]);" ]
> + self.cpplines += [ "const int vector =
> +%s;\n"%(self.argvector(self.inputtype.__len__()-1,index)) ]
> +
> +#####Cpu Function
> + def GenCpuCompilerMath(self,index):
> + #namesuffix=self.inputtype[0][index]
> + defline='static void cpu_compiler_math(%s *dst, '%(self.retType(index))
> + cpufunargs='('
> + funcline = ['{']
> + vectorargs=[]
> +
> + if (self.returnVector(index) == 1 and self.argvector(0,index) != 1):
> + for i in range(0,self.values.__len__()):
> + defline += 'const %s *src%d'%(self.argtype(i,index),i+1)
> + defline += ( i == self.values.__len__()-1 ) and ')' or ','
> + vectorargs.append('(')
> + for i in range(0,self.values.__len__()):
> + for j in range(0,self.vector):
> + vectorargs += "x%d%d"%(i+1,j+1)
> + vectorargs += ( j == self.vector-1 ) and ');' or ','
> + funcline += [" const %s x%d%d =
> + *(src%d+%d);"%(self.argtype(i,index),i+1,j+1,i+1,j)]
> +
> + return 0
> +
> + for i in range(0,self.values.__len__()):
> + defline += 'const %s *src%d'%(self.argtype(i,index),i+1)
> + defline += ( i == self.values.__len__()-1 ) and ')' or ','
> + cpufunargs += "x%d"%(i+1)
> + cpufunargs += ( i == self.values.__len__()-1 ) and ');' or ','
> + funcline += [" const %s x%d =
> + *src%d;"%(self.argtype(i,index),i+1,i+1)]
> +
> + funcline += [ " dst[0] = %s%s"%(self.cpuFuncName, cpufunargs) ]
> + funcline += [ '}']
> +
> + funcline = [defline] + funcline
> +
> + self.cpplines += funcline
> +# self.writeCPP( '\n'.join(funcline), 'a', namesuffix)
> +
> + def writeCPP(self,content,authority,namesuffix):
> + file_object = open("generated/%s_%s.cpp"%(self.fileName,namesuffix),authority)
> + file_object.writelines(content)
> + file_object.close()
> +
> + def writeCL(self,content,authority,namesuffix):
> + file_object = open(os.getcwd()+"/../kernels/%s_%s.cl"%(self.fileName,namesuffix),authority)
> + file_object.writelines(content)
> + file_object.close()
> +
> + def nameForCmake(self,content,namesuffix):
> + print("generated/%s_%s.cpp"%(self.fileName,namesuffix)),
> +
> + def utestFunc(self,index):
> + funcLines=[]
> + namesuffix=self.inputtype[0][index]
> + funcline=[]
> + funchead='''
> +static void %s_%s(void)
> +{
> + int index;
> + %s gpu_data[count_input] = {0}, cpu_data[count_input] = {0},
> +diff=0.0;
> + char log[1024] = {0};
> +
> + OCL_CREATE_KERNEL(\"%s_%s\");
> + OCL_CREATE_BUFFER(buf[0], CL_MEM_READ_WRITE, count_input *
> + sizeof(%s), NULL);
> +
> + globals[0] = count_input;
> + locals[0] = 1;
> + '''%(self.fileName,namesuffix,\
> + self.retType(index),\
> + self.fileName, namesuffix,\
> + self.retType(index))
> +
> + funcline += [funchead]
> + for i in range(1,self.values.__len__()+1):
> + funcline += [" OCL_CREATE_BUFFER(buf[%d], CL_MEM_READ_WRITE, count_input * sizeof(%s), NULL);"%(i,self.argtype(i-1,index))]
> + funcline += [" clEnqueueWriteBuffer( queue, buf[%d], CL_TRUE,
> + 0, count_input * sizeof(%s), input_data%d, 0, NULL,
> + NULL);"%(i,self.argtype(i-1,index),i)]
> +
> + funcline += [" OCL_CREATE_BUFFER(buf[%d], CL_MEM_READ_WRITE, sizeof(int), NULL);"%(self.inputtype.__len__()+1)]
> + funcline += [" clEnqueueWriteBuffer( queue, buf[%d], CL_TRUE, 0,
> + sizeof(int), &vector, 0, NULL, NULL);"%(self.inputtype.__len__()+1)]
> +
> + #0=output 1=input1 2=input2 ... len+2=output
> + for i in range(0,self.values.__len__()+2):
> + funcline += [" OCL_SET_ARG(%d, sizeof(cl_mem),
> +&buf[%d]);"%(i,i)]
> +
> + funcrun='''
> + // Run the kernel:
> + OCL_NDRANGE( 1 );
> + clEnqueueReadBuffer( queue, buf[0], CL_TRUE, 0, sizeof(%s) *
> +count_input, gpu_data, 0, NULL, NULL);
> +'''%(self.inputtype.__len__()+1)
> + funcline += [ funcrun ]
> +
> + funcsprintfa=' sprintf(log, \"'
> + funcsprintfb=''
> + if (self.returnVector(index) == 1 and self.argvector(0,index) != 1):
> + funccompare='''
> + for (index = 0; index < count_input/vector; index++) {
> + cpu_compiler_math( cpu_data + index, '''
> + else:
> + funccompare='''
> + for (index = 0; index < count_input; index++) {
> + cpu_compiler_math( cpu_data + index,'''
> +
> + for i in range(0,self.values.__len__()):
> + funccompare += " input_data%d + index"%(i+1)
> + funccompare += (self.values.__len__() - 1 == i) and ');' or ','
> +
> + funcsprintfa += "input_data%d:"%(i+1)
> + funcsprintfa += "%s "%(self.inputNumFormat(i,index))
> + funcsprintfb += " input_data%d[index],"%(i+1)
> +
> + funcline += [ funccompare ]
> +
> + funcsprintfa += " -> gpu:%s cpu:%s diff:%s\","%(self.outputNumFormat(index),self.outputNumFormat(index),self.outputNumFormat(index))#,self.outputNumFormat(index))
> + funcsprintfb += " gpu_data[index], cpu_data[index],
> + diff);"#%(ulpUnit(self.ulp),ulpNum(self.ulp))
> +
> + #funcdiff = " diff = fabs((gpu_data[index]-cpu_data[index])"
> + #funcdiff += (self.retType(index) == "int") and ');' or '/(cpu_data[index]>1?cpu_data[index]:1));'
> + funcdiff = " diff = fabs((gpu_data[index]-cpu_data[index]));"
> + funcline += [ funcdiff ]
> + funcline += [ funcsprintfa + funcsprintfb ]
> +
> + self.cpplines += funcline
> +
> + self.cpplines += [ udebug(self.ulp,self.retType(index)) ]
> + self.cpplines += [
> + "MAKE_UTEST_FROM_FUNCTION(%s_%s)"%(self.fileName,namesuffix) ]
> +
> + def genCL(self,index):
> + namesuffix=self.inputtype[0][index]
> + clLine = []
> + clhead = '__kernel void %s_%s(__global %s *dst, '%(self.fileName,namesuffix,self.retType(index))
> + clvalueDef=''
> + clcomputer=''
> + tmp=''
> +
> + for i in range(0,self.values.__len__()):
> + clhead += ' __global %s *src%d,'%(self.argtype(i,index),i+1)
> + clvalueDef += ' %s x%d = (%s) ('%(self.inputtype[i][index],i+1,self.inputtype[i][index])
> + tmp = 'src%d[i * (*vector) + '%(i+1)
> + for j in range(0,int(self.argvector(i,index))):
> + clvalueDef += tmp + ((int(self.argvector(i-1,index)) == j+1 ) and '%d]);\n'%(j) or '%d],'%(j))
> + clcomputer += (self.values.__len__() == i+1) and 'x%d);'%(i+1)
> + or 'x%d,'%(i+1)
> +
> + clhead += ' __global int *vector) {\n'
> + clhead += ' int i = get_global_id(0);'
> + clLine += [ clhead ]
> + clLine += [ clvalueDef ]
> + clLine += [ ' %s ret;'%(self.outputtype[index]) ]
> + clLine += [ ' ret = %s('%(self.funcName) + clcomputer ]
> +
> + if (int(self.returnVector(index)) == 1):
> + clLine += [ ' dst[i] = ret;' ]
> + else:
> + for i in range(0,int(self.returnVector(index))):
> + clLine += [ ' dst[i * (*vector) + %d] = ret[%d];'%(i,i) ]
> + clLine += [ '};' ]
> +
> + self.writeCL('\n'.join(clLine),'w',namesuffix)
> +
> + def geneProcess(self):
> + for i in range(0,self.inputtype[0].__len__()):
> +##########Write Cpp file
> + namesuffix=self.inputtype[0][i]
> + self.cpplines = []
> + #The head:
> + self.cpplines += [self.Head]
> +
> + #Parameters:
> + self.GenInputValues(i)
> +
> + #cpu function generator:
> + self.cpplines += [self.cpufunc]
> +
> + #Cpu function:
> + self.GenCpuCompilerMath(i)
> +
> + #utest function
> + self.utestFunc(i)
> +
> + #kernel cl
> + self.genCL(i)
> +
> + #CMakelists.txt
> + self.nameForCmake(self.fileName,namesuffix)
> +
> + self.writeCPP( '\n'.join(self.cpplines) ,'w',namesuffix)
> +#########End
> +
> +#def main():
> +#
> +#if __name__ == "__main__":
> +# main()
> diff --git a/utests/utest_helper.cpp b/utests/utest_helper.cpp index
> 65af727..8b9ae5f 100644
> --- a/utests/utest_helper.cpp
> +++ b/utests/utest_helper.cpp
> @@ -641,3 +641,33 @@ int cl_check_image(const int *img, int w, int h, const char *bmp)
> return (float(discrepancy) / float(n) > max_error_ratio) ? 0 : 1;
> }
>
> +typedef struct
> +{
> + unsigned int mantissa:23;
> + unsigned int exponent:8;
> + unsigned int sign:1;
> +} FLOAT;
> +
> +typedef union
> +{
> + float f;
> + unsigned int i;
> + FLOAT spliter;
> +} SF;
> +
> +const float cl_FLT_ULP(float float_number) {
> + SF floatBin, ulpBin;
> + floatBin.f = float_number;
> +
> + ulpBin.spliter.sign = floatBin.spliter.sign;
> + ulpBin.spliter.exponent = floatBin.spliter.exponent;
> + ulpBin.spliter.mantissa = 0x1;
> +
> + return ulpBin.f;
> +}
> +
> +const int cl_INT_ULP(int int_number)
> +{
> + return 0;
> +}
> diff --git a/utests/utest_helper.hpp b/utests/utest_helper.hpp index
> 29a21d5..79e7417 100644
> --- a/utests/utest_helper.hpp
> +++ b/utests/utest_helper.hpp
> @@ -216,5 +216,11 @@ extern void cl_write_bmp(const int *data, int
> width, int height, const char *fil
> /* Check data from img against bmp file located at "bmp" */ extern
> int cl_check_image(const int *img, int w, int h, const char *bmp);
>
> +/* Calculator ULP of each FLOAT value */ extern const float
> +cl_FLT_ULP(float float_number);
> +
> +/* Calculator ULP of each INT value */ extern const int
> +cl_INT_ULP(int int_number);
> +
> #endif /* __UTEST_HELPER_HPP__ */
>
> diff --git a/utests/utest_math_gen.py b/utests/utest_math_gen.py new
> file mode 100755 index 0000000..7a4b678
> --- /dev/null
> +++ b/utests/utest_math_gen.py
> @@ -0,0 +1,531 @@
> +#!/usr/bin/python
> +from utest_generator import *
> +import os,sys
> +
> +#base_input_values = [80, -80, 3.14, -3.14, -0.5, 0.5, 1, -1,
> +0.0,6,-6,1500.24,-1500.24] #extend_input_values =
> +[FLT_MAX_POSI,FLT_MIN_NEGA,FLT_MIN_POSI,FLT_MAX_NEGA,80, -80, 3.14,
> +-3.14, -0.5, 0.5, 1, -1, 0.0,6,-6,1500.24,-1500.24]
> +
> +#func:
> +# gpufuncName
> +# cpuFuncName
> +# fileName: 'builtin_'+name
> +# inputtype: a 2-D list because there're more than one input data
> +# outputtype: a list
> +# values
> +# ulp
> +
> +base_input_values = [ 0, 1, 3.14]
> +def main():
> + ##### gentype acos(gentype)
> + acos_input_values = base_input_values
> + acos_input_type = ['float','float2','float4','float8','float16']
> + acos_output_type = ['float','float2','float4','float8','float16']
> + acosUtests =
> +func('acos','acos',[acos_input_type],acos_output_type,[acos_input_val
> +ues],'4 * FLT_ULP')
> +
> + ##### gentype acosh(gentype)
> + acosh_input_values = base_input_values acosh_input_type =
> + ['float','float2','float4','float8','float16']
> + acosh_output_type = ['float','float2','float4','float8','float16']
> + acoshUtests =
> + func('acosh','acosh',[acosh_input_type],acosh_output_type,[acosh_inp
> + ut_values],'4 * FLT_ULP')
> +
> + ##### gentype acospi(gentype x)
> + acospi_input_values = base_input_values
> + acospi_input_type = ['float','float2','float4','float8','float16']
> + acospi_output_type = ['float','float2','float4','float8','float16']
> + acospi_cpu_func='''
> +static float acospi(float x){
> + return acos(x)/M_PI;
> +} '''
> + acospiUtests =
> +func('acospi','acospi',[acospi_input_type],acospi_output_type,[acospi
> +_input_values],'4 * FLT_ULP',acospi_cpu_func)
> +
> + ##### gentype asin(gentype)
> + asin_input_values = base_input_values asin_input_type =
> + ['float','float2','float4','float8','float16']
> + asin_output_type = ['float','float2','float4','float8','float16']
> + asinUtests =
> + func('asin','asin',[asin_input_type],asin_output_type,[asin_input_va
> + lues],'4 * FLT_ULP')
> +
> + ##### gentype asinh(gentype)
> + asinh_input_values = base_input_values asinh_input_type =
> + ['float','float2','float4','float8','float16']
> + asinh_output_type = ['float','float2','float4','float8','float16']
> + asinhUtests =
> + func('asinh','asinh',[asinh_input_type],asinh_output_type,[asinh_inp
> + ut_values],'4 * FLT_ULP')
> +
> + ##### gentype asinpi(gentype x)
> + asinpi_input_values = base_input_values
> + asinpi_input_type = ['float','float2','float4','float8','float16']
> + asinpi_output_type = ['float','float2','float4','float8','float16']
> + asinpi_cpu_func='''
> +static float asinpi(float x){
> + return asin(x)/M_PI;
> +} '''
> + asinpiUtests =
> +func('asinpi','asinpi',[asinpi_input_type],asinpi_output_type,[asinpi
> +_input_values],'4 * FLT_ULP',asinpi_cpu_func)
> +
> + ##### gentype atan(gentype y_over_x) atan_input_values =
> + base_input_values atan_input_type =
> + ['float','float2','float4','float8','float16']
> + atan_output_type = ['float','float2','float4','float8','float16']
> + atanUtests =
> + func('atan','atan',[atan_input_type],atan_output_type,[atan_input_va
> + lues],'5 * FLT_ULP')
> +
> + ##### gentype atan2(gentype y, gentype x) atan2_base_values =
> + base_input_values
> + atan2_input_values1 = []
> + atan2_input_values2 = []
> +
> + atan2_input_values1,atan2_input_values2=gene2ValuesLoop(atan2_input_
> + values1,atan2_input_values2,atan2_base_values)
> + atan2_input_type1 = ['float','float2','float4','float8','float16']
> + atan2_input_type2 = ['float','float2','float4','float8','float16']
> + atan2_output_type = ['float','float2','float4','float8','float16']
> + atan2Utests =
> + func('atan2','atan2',[atan2_input_type1,atan2_input_type2],atan2_out
> + put_type,[atan2_input_values1,atan2_input_values2],'6 * FLT_ULP')
> +
> + ##### gentype atanh(gentype)
> + atanh_input_values = base_input_values atanh_input_type =
> + ['float','float2','float4','float8','float16']
> + atanh_output_type = ['float','float2','float4','float8','float16']
> + atanhUtests =
> + func('atanh','atanh',[atanh_input_type],atanh_output_type,[atanh_inp
> + ut_values],'5 * FLT_ULP')
> +
> + ##### gentype atanpi(gentype x)
> + atanpi_input_values = base_input_values
> + atanpi_input_type = ['float','float2','float4','float8','float16']
> + atanpi_output_type = ['float','float2','float4','float8','float16']
> + atanpi_cpu_func='''
> +static float atanpi(float x){
> + return atan(x)/M_PI;
> +} '''
> + atanpiUtests =
> +func('atanpi','atanpi',[atanpi_input_type],atanpi_output_type,[atanpi
> +_input_values],'4 * FLT_ULP',atanpi_cpu_func)
> +
> +# ##### gentype atan2pi(gentype y, gentype x) # atan2pi_base_values
> += base_input_values # atan2pi_input_values1 = [] #
> +atan2pi_input_values2 = [] #
> +atan2pi_input_values1,atan2pi_input_values2=gene2ValuesLoop(atan2pi_i
> +nput_values1,atan2pi_input_values2,atan2pi_base_values)
> +# atan2pi_input_type1 =
> +['float','float2','float4','float8','float16']
> +# atan2pi_input_type2 =
> +['float','float2','float4','float8','float16']
> +# atan2pi_output_type =
> +['float','float2','float4','float8','float16']
> +# atan2pi_cpu_func='''
> +#static float atan2pi(float y, float x){ # return atan2(y,x)/M_PI;
> +#} '''
> +# atan2piUtests =
> +func('atan2pi','atan2pi',[atan2pi_input_type1,atan2pi_input_type2],at
> +an2pi_output_type,[atan2pi_input_values1,atan2pi_input_values2],'6 *
> +FLT_ULP',atan2pi_cpu_func)
> +
> + ##### gentype cbrt(gentype)
> + cbrt_input_values = base_input_values cbrt_input_type =
> + ['float','float2','float4','float8','float16']
> + cbrt_output_type = ['float','float2','float4','float8','float16']
> + cbrtUtests =
> + func('cbrt','cbrt',[cbrt_input_type],cbrt_output_type,[cbrt_input_va
> + lues],'4 * FLT_ULP')
> +
> + ##### gentype ceil(gentype)
> + ceil_input_values = base_input_values ceil_input_type =
> + ['float','float2','float4','float8','float16']
> + ceil_output_type = ['float','float2','float4','float8','float16']
> + ceilUtests =
> + func('ceil','ceil',[ceil_input_type],ceil_output_type,[ceil_input_va
> + lues],'0 * FLT_ULP')
> +
> + ##### gentype copysign(gentype x, gentype y) copysign_base_values
> + = base_input_values
> + copysign_input_values1 = []
> + copysign_input_values2 = []
> +
> + copysign_input_values1,copysign_input_values2=gene2ValuesLoop(copysi
> + gn_input_values1,copysign_input_values2,copysign_base_values)
> + copysign_input_type1 =
> + ['float','float2','float4','float8','float16']
> + copysign_input_type2 =
> + ['float','float2','float4','float8','float16']
> + copysign_output_type =
> + ['float','float2','float4','float8','float16']
> + copysignUtests =
> + func('copysign','copysign',[copysign_input_type1,copysign_input_type
> + 2],copysign_output_type,[copysign_input_values1,copysign_input_value
> + s2],'0 * FLT_ULP')
> +
> + ##### gentype cos(gentype)
> + cos_input_values = base_input_values cos_input_type =
> + ['float','float2','float4','float8','float16']
> + cos_output_type = ['float','float2','float4','float8','float16']
> + cosUtests =
> + func('cos','cos',[cos_input_type],cos_output_type,[cos_input_values]
> + ,'4 * FLT_ULP')
> +
> + ##### gentype cosh(gentype)
> + cosh_input_values = base_input_values cosh_input_type =
> + ['float','float2','float4','float8','float16']
> + cosh_output_type = ['float','float2','float4','float8','float16']
> + coshUtests =
> + func('cosh','cosh',[cosh_input_type],cosh_output_type,[cosh_input_va
> + lues],'4 * FLT_ULP')
> +
> + ##### gentype cospi(gentype x)
> + cospi_input_values = base_input_values
> + cospi_input_type = ['float','float2','float4','float8','float16']
> + cospi_output_type = ['float','float2','float4','float8','float16']
> + cospi_cpu_func='''
> +static float cospi(float x){
> + return cos(M_PI * x);
> +} '''
> + cospiUtests =
> +func('cospi','cospi',[cospi_input_type],cospi_output_type,[cospi_inpu
> +t_values],'2 * FLT_ULP',cospi_cpu_func)
> +
> + ##### gentype erf(gentype)
> + erf_input_values = base_input_values erf_input_type =
> + ['float','float2','float4','float8','float16']
> + erf_output_type = ['float','float2','float4','float8','float16']
> + erfUtests =
> + func('erf','erf',[erf_input_type],erf_output_type,[erf_input_values]
> + ,'16 * FLT_ULP')
> +
> + ##### gentype erfc(gentype)
> + erfc_input_values = base_input_values erfc_input_type =
> + ['float','float2','float4','float8','float16']
> + erfc_output_type = ['float','float2','float4','float8','float16']
> + erfcUtests =
> + func('erfc','erfc',[erfc_input_type],erfc_output_type,[erfc_input_va
> + lues],'16 * FLT_ULP')
> +
> + ##### gentype exp(gentype x)
> + exp_input_values = base_input_values exp_input_type =
> + ['float','float2','float4','float8','float16']
> + exp_output_type = ['float','float2','float4','float8','float16']
> + expUtests =
> + func('exp','exp',[exp_input_type],exp_output_type,[exp_input_values]
> + ,'4 * FLT_ULP')
> +
> + ##### gentype exp2(gentype)
> + exp2_input_values = base_input_values exp2_input_type =
> + ['float','float2','float4','float8','float16']
> + exp2_output_type = ['float','float2','float4','float8','float16']
> + exp2Utests =
> + func('exp2','exp2',[exp2_input_type],exp2_output_type,[exp2_input_va
> + lues],'4 * FLT_ULP')
> +
> + ##### gentype exp10(gentype)
> + exp10_input_values = base_input_values exp10_input_type =
> + ['float','float2','float4','float8','float16']
> + exp10_output_type = ['float','float2','float4','float8','float16']
> + exp10Utests =
> + func('exp10','exp10',[exp10_input_type],exp10_output_type,[exp10_inp
> + ut_values],'4 * FLT_ULP')
> +
> + ##### gentype expm1(gentype x)
> + expm1_input_values = base_input_values expm1_input_type =
> + ['float','float2','float4','float8','float16']
> + expm1_output_type = ['float','float2','float4','float8','float16']
> + expm1Utests =
> + func('expm1','expm1',[expm1_input_type],expm1_output_type,[expm1_inp
> + ut_values],'4 * FLT_ULP')
> +
> + ##### gentype fabs(gentype)
> + fabs_input_values = base_input_values fabs_input_type =
> + ['float','float2','float4','float8','float16']
> + fabs_output_type = ['float','float2','float4','float8','float16']
> + fabsUtests =
> + func('fabs','fabs',[fabs_input_type],fabs_output_type,[fabs_input_va
> + lues],'0 * FLT_ULP')
> +
> + ##### gentype fdim(gentype x, gentype y) fdim_base_values =
> + base_input_values
> + fdim_input_values1 = []
> + fdim_input_values2 = []
> +
> + fdim_input_values1,fdim_input_values2=gene2ValuesLoop(fdim_input_val
> + ues1,fdim_input_values2,fdim_base_values)
> + fdim_input_type1 = ['float','float2','float4','float8','float16']
> + fdim_input_type2 = ['float','float2','float4','float8','float16']
> + fdim_output_type = ['float','float2','float4','float8','float16']
> + fdimUtests =
> + func('fdim','fdim',[fdim_input_type1,fdim_input_type2],fdim_output_t
> + ype,[fdim_input_values1,fdim_input_values2],'0 * FLT_ULP')
> +
> + ##### gentype floor(gentype)
> + floor_input_values = base_input_values floor_input_type =
> + ['float','float2','float4','float8','float16']
> + floor_output_type = ['float','float2','float4','float8','float16']
> + floorUtests =
> + func('floor','floor',[floor_input_type],floor_output_type,[floor_inp
> + ut_values],'0 * FLT_ULP')
> +
> + ##### gentype fma(gentype a, gentype b, gentype c) fma_base_values
> + = base_input_values
> + fma_input_values1 = []
> + fma_input_values2 = []
> + fma_input_values3 = []
> +
> + fma_input_values1,fma_input_values2,fma_input_values3=gene3ValuesLoo
> + p(fma_input_values1,fma_input_values2,fma_input_values3,fma_base_val
> + ues)
> + fma_input_type1 = ['float','float2','float4','float8','float16']
> + fma_input_type2 = ['float','float2','float4','float8','float16']
> + fma_input_type3 = ['float','float2','float4','float8','float16']
> + fma_output_type = ['float','float2','float4','float8','float16']
> + fmaUtests =
> + func('fma','fma',[fma_input_type1,fma_input_type2,fma_input_type3],f
> + ma_output_type,[fma_input_values1,fma_input_values2,fma_input_values
> + 3],'0 * FLT_ULP')
> +
> + ##### gentype fmax(gentype x, gentype y) fmax_base_values =
> + base_input_values
> + fmax_input_values1 = []
> + fmax_input_values2 = []
> +
> + fmax_input_values1,fmax_input_values2=gene2ValuesLoop(fmax_input_val
> + ues1,fmax_input_values2,fmax_base_values)
> + fmax_input_type1 = ['float','float2','float4','float8','float16']
> + fmax_input_type2 = ['float','float2','float4','float8','float16']
> + fmax_output_type = ['float','float2','float4','float8','float16']
> + fmaxUtests =
> + func('fmax','fmax',[fmax_input_type1,fmax_input_type2],fmax_output_t
> + ype,[fmax_input_values1,fmax_input_values2],'0 * FLT_ULP')
> +
> + ##### gentypef fmax(gentypef x, float y) #
> +fmax_gentypef_base_values = base_input_values #
> +fmax_gentypef_input_values1 = [] # fmax_gentypef_input_values2 = []
> +#
> +fmax_gentypef_input_values2,fmax_gentypef_input_values1=gene2ValuesLo
> +op(fmax_gentypef_input_values1,fmax_gentypef_input_values2,fmax_genty
> +pef_base_values) # fmax_gentypef_input_type1 =
> +['float','float2','float4','float8','float16']
> +# fmax_gentypef_input_type2 =
> +['float','float','float','float','float']
> +# fmax_gentypef_output_type =
> +['float','float2','float4','float8','float16']
> +# ##### gentypef fmax(gentypef x, float y) # fmax_gentypefUtests =
> +func('gentypef_fmax','gentypef_fmax',[fmax_gentypef_input_type1,fmax_
> +gentypef_input_type2],fmax_gentypef_output_type,[fmax_gentypef_input_
> +values1,fmax_gentypef_input_values2],'0 * FLT_ULP')
> +
> + ##### gentype fmin(gentype x, gentype y) fmin_base_values =
> + base_input_values
> + fmin_input_values1 = []
> + fmin_input_values2 = []
> +
> + fmin_input_values1,fmin_input_values2=gene2ValuesLoop(fmin_input_val
> + ues1,fmin_input_values2,fmin_base_values)
> + fmin_input_type1 = ['float','float2','float4','float8','float16']
> + fmin_input_type2 = ['float','float2','float4','float8','float16']
> + fmin_output_type = ['float','float2','float4','float8','float16']
> + fminUtests =
> + func('fmin','fmin',[fmin_input_type1,fmin_input_type2],fmin_output_t
> + ype,[fmin_input_values1,fmin_input_values2],'0 * FLT_ULP')
> +
> +# ##### gentypef fmin(gentypef x, float y) #
> +fmin_gentypef_base_values = base_input_values #
> +fmin_gentypef_input_values1 = [] # fmin_gentypef_input_values2 = []
> +#
> +fmin_gentypef_input_values2,fmin_gentypef_input_values1=gene2ValuesLo
> +op(fmin_gentypef_input_values1,fmin_gentypef_input_values2,fmin_genty
> +pef_base_values) # fmin_gentypef_input_type1 =
> +['float','float2','float4','float8','float16']
> +# fmin_gentypef_input_type2 =
> +['float','float','float','float','float']
> +# fmin_gentypef_output_type =
> +['float','float2','float4','float8','float16']
> +# ##### gentypef fmin(gentypef x, float y) # fmin_gentypefUtests =
> +func('gentypef_fmin','gentypef_fmin',[fmin_gentypef_input_type1,fmin_
> +gentypef_input_type2],fmin_gentypef_output_type,[fmin_gentypef_input_
> +values1,fmin_gentypef_input_values2],'0 * FLT_ULP') #
> + ##### gentype fmod(gentype x, gentype y)
> + fmod_base_values = base_input_values
> + fmod_input_values1 = []
> + fmod_input_values2 = []
> +
> +fmod_input_values1,fmod_input_values2=gene2ValuesLoop(fmod_input_valu
> +es1,fmod_input_values2,fmod_base_values)
> + fmod_input_type1 = ['float','float2','float4','float8','float16']
> + fmod_input_type2 = ['float','float2','float4','float8','float16']
> + fmod_output_type = ['float','float2','float4','float8','float16']
> + fmodUtests =
> +func('fmod','fmod',[fmod_input_type1,fmod_input_type2],fmod_output_ty
> +pe,[fmod_input_values1,fmod_input_values2],'0 * FLT_ULP')
> +
> + ##### gentype hypot(gentype x, gentype y) hypot_base_values =
> + base_input_values
> + hypot_input_values1 = []
> + hypot_input_values2 = []
> +
> + hypot_input_values1,hypot_input_values2=gene2ValuesLoop(hypot_input_
> + values1,hypot_input_values2,hypot_base_values)
> + hypot_input_type1 = ['float','float2','float4','float8','float16']
> + hypot_input_type2 = ['float','float2','float4','float8','float16']
> + hypot_output_type = ['float','float2','float4','float8','float16']
> + hypotUtests =
> + func('hypot','hypot',[hypot_input_type1,hypot_input_type2],hypot_out
> + put_type,[hypot_input_values1,hypot_input_values2],'4 * FLT_ULP')
> +
> + ##### intn ilogb(floartn x)
> + ilogb_input_values = base_input_values ilogb_input_type =
> + ['float','float2','float4','float8','float16']
> + ilogb_output_type = ['int','int2','int4','int8','int16']
> + ilogbUtests =
> + func('ilogb','ilogb',[ilogb_input_type],ilogb_output_type,[ilogb_inp
> + ut_values],'0 * INT_ULP')
> +
> + ##### gentype lgamma(gentype x)
> + lgamma_input_values = base_input_values lgamma_input_type =
> + ['float','float2','float4','float8','float16']
> + lgamma_output_type = ['float','float2','float4','float8','float16']
> + lgammaUtests =
> + func('lgamma','lgamma',[lgamma_input_type],lgamma_output_type,[lgamm
> + a_input_values],'4 * FLT_ULP')
> +
> + ##### gentype log(gentype)
> + log_input_values = base_input_values log_input_type =
> + ['float','float2','float4','float8','float16']
> + log_output_type = ['float','float2','float4','float8','float16']
> + logUtests =
> + func('log','log',[log_input_type],log_output_type,[log_input_values]
> + ,'4 * FLT_ULP')
> +
> + ##### gentype log2(gentype)
> + log2_input_values = base_input_values log2_input_type =
> + ['float','float2','float4','float8','float16']
> + log2_output_type = ['float','float2','float4','float8','float16']
> + log2Utests =
> + func('log2','log2',[log2_input_type],log2_output_type,[log2_input_va
> + lues],'4 * FLT_ULP')
> +
> + ##### gentype log10(gentype)
> + log10_input_values = base_input_values log10_input_type =
> + ['float','float2','float4','float8','float16']
> + log10_output_type = ['float','float2','float4','float8','float16']
> + log10Utests =
> + func('log10','log10',[log10_input_type],log10_output_type,[log10_inp
> + ut_values],'4 * FLT_ULP')
> +
> + ##### gentype log1p(gentype x)
> + log1p_input_values = base_input_values log1p_input_type =
> + ['float','float2','float4','float8','float16']
> + log1p_output_type = ['float','float2','float4','float8','float16']
> + log1pUtests =
> + func('log1p','log1p',[log1p_input_type],log1p_output_type,[log1p_inp
> + ut_values],'4 * FLT_ULP')
> +
> + ##### gentype logb(gentype x)
> + logb_input_values = base_input_values logb_input_type =
> + ['float','float2','float4','float8','float16']
> + logb_output_type = ['float','float2','float4','float8','float16']
> + logbUtests =
> + func('logb','logb',[logb_input_type],logb_output_type,[logb_input_va
> + lues],'0 * FLT_ULP')
> +
> + ##### gentype maxmag(gentype x, gentype y)
> + maxmag_base_values = base_input_values
> + maxmag_input_values1 = []
> + maxmag_input_values2 = []
> +
> +maxmag_input_values1,maxmag_input_values2=gene2ValuesLoop(maxmag_inpu
> +t_values1,maxmag_input_values2,maxmag_base_values)
> + maxmag_input_type1 = ['float','float2','float4','float8','float16']
> + maxmag_input_type2 = ['float','float2','float4','float8','float16']
> + maxmag_output_type = ['float','float2','float4','float8','float16']
> + maxmag_cpu_func='''
> +static float maxmag(float x, float y){
> + if(fabs(x) > fabs(y))
> + return x;
> + else if (fabs(x) < fabs(y))
> + return y;
> + else
> + return fmax(x,y);
> +} '''
> + maxmagUtests =
> +func('maxmag','maxmag',[maxmag_input_type1,maxmag_input_type2],maxmag
> +_output_type,[maxmag_input_values1,maxmag_input_values2],'0 *
> +FLT_ULP',maxmag_cpu_func)
> +
> + ##### gentype minmag(gentype x, gentype y)
> + minmag_base_values = base_input_values
> + minmag_input_values1 = []
> + minmag_input_values2 = []
> +
> +minmag_input_values1,minmag_input_values2=gene2ValuesLoop(minmag_inpu
> +t_values1,minmag_input_values2,minmag_base_values)
> + minmag_input_type1 = ['float','float2','float4','float8','float16']
> + minmag_input_type2 = ['float','float2','float4','float8','float16']
> + minmag_output_type = ['float','float2','float4','float8','float16']
> + minmag_cpu_func='''
> +static float minmag(float x, float y){
> + if(fabs(x) < fabs(y))
> + return x;
> + else if (fabs(x) > fabs(y))
> + return y;
> + else
> + return fmin(x,y);
> +} '''
> + minmagUtests =
> +func('minmag','minmag',[minmag_input_type1,minmag_input_type2],minmag
> +_output_type,[minmag_input_values1,minmag_input_values2],'0 *
> +FLT_ULP',minmag_cpu_func)
> +
> +# ##### floatn nan(uintn nancode)
> +# nan_input_values = base_input_values # nan_input_type =
> +['uint','uint2','uint4','uint8','uint16']
> +# nan_output_type = ['float','float2','float4','float8','float16']
> +# nanUtests =
> +func('nan','nan',[nan_input_type],nan_output_type,[nan_input_values],
> +'0 * FLT_ULP')
> +
> + ##### gentype nextafter(gentype x, gentype y)
> + nextafter_base_values = base_input_values
> + nextafter_input_values1 = []
> + nextafter_input_values2 = []
> +
> + nextafter_input_values1,nextafter_input_values2=gene2ValuesLoop(next
> + after_input_values1,nextafter_input_values2,nextafter_base_values)
> + nextafter_input_type1 =
> + ['float','float2','float4','float8','float16']
> + nextafter_input_type2 =
> + ['float','float2','float4','float8','float16']
> + nextafter_output_type =
> + ['float','float2','float4','float8','float16']
> + nextafterUtests =
> + func('nextafter','nextafter',[nextafter_input_type1,nextafter_input_
> + type2],nextafter_output_type,[nextafter_input_values1,nextafter_inpu
> + t_values2],'0 * FLT_ULP')
> +
> + ##### gentype pow(gentype x, gentype y) pow_base_values =
> + base_input_values
> + pow_input_values1 = []
> + pow_input_values2 = []
> +
> + pow_input_values1,pow_input_values2=gene2ValuesLoop(pow_input_values
> + 1,pow_input_values2,pow_base_values)
> + pow_input_type1 = ['float','float2','float4','float8','float16']
> + pow_input_type2 = ['float','float2','float4','float8','float16']
> + pow_output_type = ['float','float2','float4','float8','float16']
> + powUtests =
> + func('pow','pow',[pow_input_type1,pow_input_type2],pow_output_type,[
> + pow_input_values1,pow_input_values2],'16 * FLT_ULP')
> +
> + ##### floatn pown(floatn x, intn y)
> + pown_input_values1 =
> +[FLT_MAX_POSI,FLT_MIN_NEGA,FLT_MIN_POSI,FLT_MAX_NEGA,80, -80, 3.14,
> +-3.14, -0.5, 0.5, 1, -1, 0.0,6,-6,1500.24,-1500.24]
> + pown_input_values2 = [-1,-2,-3,4,5,6,7,8,9,10,11,12,13,14,15,16,12]
> + pown_input_type1 = ['float','float2','float4','float8','float16']
> + pown_input_type2 = ['int','int2','int4','int8','int16']
> + pown_output_type = ['float','float2','float4','float8','float16']
> + pown_cpu_func='''
> +static float pown(float x, int y){
> + return pow(x,y);
> +} '''
> + pownUtests =
> +func('pown','pown',[pown_input_type1,pown_input_type2],pown_output_ty
> +pe,[pown_input_values1,pown_input_values2],'16 * FLT_ULP',
> +pown_cpu_func)
> +
> + ##### gentype powr(gentype x, gentype y)
> + powr_input_values1 =
> +[FLT_MAX_POSI,FLT_MIN_NEGA,FLT_MIN_POSI,FLT_MAX_NEGA,80, -80, 3.14,
> +-3.14, -0.5, 0.5, 1, -1, 0.0,6,-6,1500.24,-1500.24]
> + powr_input_values2 =
> +[1,2,3.14,4,5,6,7,8,9.889,10,11,12,13,14.33,15,0,12]
> + powr_input_type1 = ['float','float2','float4','float8','float16']
> + powr_input_type2 = ['float','float2','float4','float8','float16']
> + powr_output_type = ['float','float2','float4','float8','float16']
> + powr_cpu_func='''
> +static float powr(float x, int y){
> + return pow(x,y);
> +} '''
> + powrUtests =
> +func('powr','powr',[powr_input_type1,powr_input_type2],powr_output_ty
> +pe,[powr_input_values1,powr_input_values2],'16 * FLT_ULP',
> +powr_cpu_func)
> +
> + ##### gentype remainder(gentype x, gentype y)
> + remainder_base_values = base_input_values
> + remainder_input_values1 = []
> + remainder_input_values2 = []
> +
> + remainder_input_values1,remainder_input_values2=gene2ValuesLoop(rema
> + inder_input_values1,remainder_input_values2,remainder_base_values)
> + remainder_input_type1 =
> + ['float','float2','float4','float8','float16']
> + remainder_input_type2 =
> + ['float','float2','float4','float8','float16']
> + remainder_output_type =
> + ['float','float2','float4','float8','float16']
> + remainderUtests =
> + func('remainder','remainder',[remainder_input_type1,remainder_input_
> + type2],remainder_output_type,[remainder_input_values1,remainder_inpu
> + t_values2],'0 * FLT_ULP')
> +
> + ##### gentype rint(gentype x)
> + rint_input_values = base_input_values rint_input_type =
> + ['float','float2','float4','float8','float16']
> + rint_output_type = ['float','float2','float4','float8','float16']
> + rintUtests =
> + func('rint','rint',[rint_input_type],rint_output_type,[rint_input_va
> + lues],'0 * FLT_ULP')
> +
> + ##### floatn rootn(floatn x, intn y)
> + rootn_input_values1 =
> +[FLT_MAX_POSI,FLT_MIN_NEGA,FLT_MIN_POSI,FLT_MAX_NEGA,80, -80, 3.14,
> +-3.14, -0.5, 0.5, 1, -1, 0.0,6,-6,1500.24,-1500.24,2,3,4]
> + rootn_input_values2 =
> +[-1,-2,-3,2,3,6,7,8,9,2,11,12,13,14,15,16,2,2,2,2]
> + rootn_input_type1 = ['float','float2','float4','float8','float16']
> + rootn_input_type2 = ['int','int2','int4','int8','int16']
> + rootn_output_type = ['float','float2','float4','float8','float16']
> + rootn_cpu_func='''
> +static float rootn(float x, int y){
> + return pow(x,1.0/y);
> +} '''
> + rootnUtests =
> +func('rootn','rootn',[rootn_input_type1,rootn_input_type2],rootn_outp
> +ut_type,[rootn_input_values1,rootn_input_values2],'4 *
> +FLT_ULP',rootn_cpu_func)
> +
> + ##### gentype round(gentype x)
> + round_input_values = base_input_values round_input_type =
> + ['float','float2','float4','float8','float16']
> + round_output_type = ['float','float2','float4','float8','float16']
> + roundUtests =
> + func('round','round',[round_input_type],round_output_type,[round_inp
> + ut_values],'0 * FLT_ULP')
> +
> + ##### gentype rsqrt(gentype)
> + rsqrt_input_values = base_input_values
> + rsqrt_input_type = ['float','float2','float4','float8','float16']
> + rsqrt_output_type = ['float','float2','float4','float8','float16']
> + rsqrt_cpu_func='''
> +static float rsqrt(float x)
> +{ return 1/sqrt(x);} '''
> + rsqrtUtests =
> +func('rsqrt','rsqrt',[rsqrt_input_type],rsqrt_output_type,[rsqrt_inpu
> +t_values],'4 * FLT_ULP', rsqrt_cpu_func)
> +
> +
> + ##### gentype sin(gentype)
> + sin_input_values = base_input_values sin_input_type =
> + ['float','float2','float4','float8','float16']
> + sin_output_type = ['float','float2','float4','float8','float16']
> + sinUtests =
> + func('sin','sin',[sin_input_type],sin_output_type,[sin_input_values]
> + ,'4 * FLT_ULP')
> +
> +# ##### gentype sincos(gentype)
> +# sincos_input_values1 =
> +[FLT_MAX_POSI,FLT_MIN_NEGA,FLT_MIN_POSI,FLT_MAX_NEGA,80, -80, 3.14,
> +-3.14, -0.5, 0.5, 1, -1, 0.0,6,-6,1500.24,-1500.24] #
> +sincos_input_values2 = [] # sincos_input_type1 =
> +['float','float2','float4','float8','float16']
> +# sincos_input_type2 =
> +['float','float2','float4','float8','float16']
> +# sincos_output_type =
> +['float','float2','float4','float8','float16']
> +# ###### gentype sincos(gentype)
> +# # sincosUtests =
> +func('sincos','sincos',[sincos_input_type1,sincos_input_type2],sincos
> +_output_type,[sincos_input_values1,sincos_input_values2],'4 *
> +FLT_ULP')
> +
> + ##### gentype sinh(gentype)
> + sinh_input_values = base_input_values sinh_input_type =
> + ['float','float2','float4','float8','float16']
> + sinh_output_type = ['float','float2','float4','float8','float16']
> + sinhUtests =
> + func('sinh','sinh',[sinh_input_type],sinh_output_type,[sinh_input_va
> + lues],'4 * FLT_ULP')
> +
> + ##### gentype sinpi(gentype x)
> + sinpi_input_values = base_input_values
> + sinpi_input_type = ['float','float2','float4','float8','float16']
> + sinpi_output_type = ['float','float2','float4','float8','float16']
> + sinpi_cpu_func='''
> +static float sinpi(float x){
> + return sin(M_PI*x);
> +} '''
> + sinpiUtests =
> +func('sinpi','sinpi',[sinpi_input_type],sinpi_output_type,[sinpi_inpu
> +t_values],'4 * FLT_ULP',sinpi_cpu_func)
> +
> + ##### gentype sqrt(gentype)
> + sqrt_input_values = base_input_values sqrt_input_type =
> + ['float','float2','float4','float8','float16']
> + sqrt_output_type = ['float','float2','float4','float8','float16']
> + sqrtUtests =
> + func('sqrt','sqrt',[sqrt_input_type],sqrt_output_type,[sqrt_input_va
> + lues],'4 * FLT_ULP')
> +
> + ##### gentype tan(gentype)
> + tan_input_values = base_input_values tan_input_type =
> + ['float','float2','float4','float8','float16']
> + tan_output_type = ['float','float2','float4','float8','float16']
> + tanUtests =
> + func('tan','tan',[tan_input_type],tan_output_type,[tan_input_values]
> + ,'5 * FLT_ULP')
> +
> + ##### gentype tanh(gentype)
> + tanh_input_values = base_input_values tanh_input_type =
> + ['float','float2','float4','float8','float16']
> + tanh_output_type = ['float','float2','float4','float8','float16']
> + tanhUtests =
> + func('tanh','tanh',[tanh_input_type],tanh_output_type,[tanh_input_va
> + lues],'5 * FLT_ULP')
> +
> + ##### gentype tanpi(gentype x)
> + tanpi_input_values = base_input_values
> + tanpi_input_type = ['float','float2','float4','float8','float16']
> + tanpi_output_type = ['float','float2','float4','float8','float16']
> + tanpi_cpu_func='''
> +static float tanpi(float x){
> + return tan(M_PI*x);
> +} '''
> + tanpiUtests =
> +func('tanpi','tanpi',[tanpi_input_type],tanpi_output_type,[tanpi_inpu
> +t_values],'4 * FLT_ULP',tanpi_cpu_func)
> +
> + ##### gentype tgamma(gentype)
> + tgamma_input_values = base_input_values tgamma_input_type =
> + ['float','float2','float4','float8','float16']
> + tgamma_output_type = ['float','float2','float4','float8','float16']
> + tgammaUtests =
> + func('tgamma','tgamma',[tgamma_input_type],tgamma_output_type,[tgamm
> + a_input_values],'16 * FLT_ULP')
> +
> + ##### gentype trunc(gentype)
> + trunc_input_values = base_input_values trunc_input_type =
> + ['float','float2','float4','float8','float16']
> + trunc_output_type = ['float','float2','float4','float8','float16']
> + truncUtests =
> + func('trunc','trunc',[trunc_input_type],trunc_output_type,[trunc_inp
> + ut_values],'0 * FLT_ULP')
> +
> +if __name__ == "__main__":
> + main()
> --
> 1.7.6.4
>
> _______________________________________________
> Beignet mailing list
> Beignet at lists.freedesktop.org
> http://lists.freedesktop.org/mailman/listinfo/beignet
_______________________________________________
Beignet mailing list
Beignet at lists.freedesktop.org
http://lists.freedesktop.org/mailman/listinfo/beignet
More information about the Beignet
mailing list