[Piglit] [Beignet][PATCH] Add test cases generator.
Tom Stellard
tom at stellard.net
Wed Nov 27 10:20:20 PST 2013
On Tue, Nov 26, 2013 at 02:38:56PM +0800, Yi Sun wrote:
> File utest_generator.py contain the base class and function for generating test cases.
> File utest_math_gen.py can generate most math function for all the gentype (floatX, intX).
> utest_math_gen.py can be run during cmake.
>
Are you proposing this for inclusion in piglit?
-Tom
> Signed-off-by: Yi Sun <yi.sun at intel.com>
> Signed-off-by: Yangwei Shui <yangwei.shui at intel.com>
>
> diff --git a/utests/CMakeLists.txt b/utests/CMakeLists.txt
> index 5e0bc19..135ea9b 100644
> --- a/utests/CMakeLists.txt
> +++ b/utests/CMakeLists.txt
> @@ -1,10 +1,14 @@
> INCLUDE_DIRECTORIES(${CMAKE_CURRENT_SOURCE_DIR}
> ${CMAKE_CURRENT_SOURCE_DIR}/../include)
>
> +EXEC_PROGRAM(python ${CMAKE_CURRENT_SOURCE_DIR} ARGS utest_math_gen.py OUTPUT_VARIABLE NEWFUNC)
> +MESSAGE(STATUS ${NEWFUNC})
> +string(REGEX REPLACE " " ";" NEWFUNC ${NEWFUNC})
> link_directories (${LLVM_LIBRARY_DIR})
> set (utests_sources
> cl_create_kernel.cpp
> utest_error.c
> + ${NEWFUNC}
> 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..1346fc2
> --- /dev/null
> +++ b/utests/utest_generator.py
> @@ -0,0 +1,304 @@
> +#!/usr/bin/python
> +import os,sys,re
> +
> +FLT_MAX_POSI='0x1.fffffep127f'
> +FLT_MIN_NEGA='-0x1.fffffep127f'
> +FLT_ULP='1.0e-6f'
> +INT_ULP='0'
> +FLT_MIN_POSI='0x1.0p-126f'
> +FLT_MAX_NEGA='-0x1.0p-126f'
> +
> +paraTypeList={'float':'%f','int':'%d','double':'%lf','uint':'%d'}
> +
> +def udebug(ulpSize):
> + ulpUnit=re.findall(r"([a-zA-Z_]+)",ulpSize)[0]
> + text='''
> +#define ULPSIZE %s
> +#define ULPUNIT %s
> +#if udebug
> + if (isinf(cpu_data[index]) && isinf(gpu_data[index])){
> + printf(log);
> + }
> + else if (isnan(cpu_data[index]) && isnan(gpu_data[index])){
> + printf(log);
> + }
> + else if ( diff <= ULPSIZE \\
> + && ( fabs(gpu_data[index]) > ULPUNIT || fabs(cpu_data[index]) > ULPUNIT )){
> + printf(log);
> + }
> + else if ( fabs(cpu_data[index]) <= ULPUNIT && fabs(gpu_data[index]) <= ULPUNIT){
> + printf(log);
> + }
> + else
> + printf_c(log);
> +#else
> + if (isinf(cpu_data[index]))
> + OCL_ASSERTM(isinf(gpu_data[index]),log);
> + else if (isnan(cpu_data[index]))
> + OCL_ASSERTM(isnan(gpu_data[index]),log);
> + else if ( fabs(gpu_data[index]) > ULPUNIT || fabs(cpu_data[index]) > ULPUNIT)
> + OCL_ASSERTM( diff <= ULPSIZE, log);
> + else
> + OCL_ASSERTM(fabs(gpu_data[index]-cpu_data[index]) <= ULPSIZE, log);
> +#endif
> + }
> +}\n'''%(ulpSize,ulpUnit)
> +
> + 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 += [i]
> +
> + 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,inputType,outputType,values,ulp, cpu_func=''):
> + self.funcName = name
> + 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='''#include "utest_helper.hpp"
> +#include <cmath>
> +#include <algorithm>
> +
> +#define udebug 0
> +#define FLT_MAX 0x1.fffffep127f
> +#define FLT_MIN 0x1.0p-126f
> +#define FLT_ULP (1.0e-6f)
> +#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 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]);\n" ]
> +
> +#####Cpu Function
> + def GenCpuCompilerMath(self,index):
> + #namesuffix=self.inputtype[0][index]
> + defline='static void cpu_compiler_math(%s *dst, '%(self.retType(index))
> + cpufunargs='('
> + funcline = ['{']
> +
> + 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.funcName, cpufunargs) ]
> + funcline += [ '}']
> +
> + funcline = [defline] + funcline
> +
> + self.cpplines += funcline
> +# self.writeCPP( '\n'.join(funcline), 'a', namesuffix)
> +
> + def writeCPP(self,content,authority,namesuffix):
> + file_object = open("%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("%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; const int vector = %s;
> + %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.argvector(self.inputtype.__len__()-1,index),\
> + 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=''
> + 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 expect:%s\\n\","%(self.outputNumFormat(index),self.outputNumFormat(index),self.outputNumFormat(index),self.outputNumFormat(index))
> + funcsprintfb += " gpu_data[index], cpu_data[index], diff, %s);"%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));'
> + funcline += [ funcdiff ]
> + funcline += [ funcsprintfa + funcsprintfb ]
> +
> + self.cpplines += funcline
> +
> + self.cpplines += [ udebug(self.ulp) ]
> + 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.argvector(0,index)) == 1):
> + clLine += [ ' dst[i] = ret;' ]
> + else:
> + for i in range(0,int(self.argvector(0,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]
> +
> + #cpu function generator:
> + self.cpplines += [self.cpufunc]
> +
> + #Parameters:
> + self.GenInputValues(i)
> +
> + #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_math_gen.py b/utests/utest_math_gen.py
> new file mode 100755
> index 0000000..c60d512
> --- /dev/null
> +++ b/utests/utest_math_gen.py
> @@ -0,0 +1,476 @@
> +#!/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]
> +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']
> + ###### gentype acos(gentype)
> + acosUtests = func('acos',[acos_input_type],acos_output_type,[acos_input_values],'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']
> + ##### gentype acosh(gentype)
> + acoshUtests = func('acosh',[acosh_input_type],acosh_output_type,[acosh_input_values],'4 * FLT_ULP')
> +
> + ##### 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']
> + ##### gentype asin(gentype)
> + asinUtests = func('asin',[asin_input_type],asin_output_type,[asin_input_values],'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']
> + ##### gentype asinh(gentype)
> + asinhUtests = func('asinh',[asinh_input_type],asinh_output_type,[asinh_input_values],'4 * FLT_ULP')
> +
> + ##### 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']
> + ##### gentype atan(gentype y_over_x)
> + atanUtests = func('atan',[atan_input_type],atan_output_type,[atan_input_values],'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']
> + ##### gentype atan2(gentype y, gentype x)
> + atan2Utests = func('atan2',[atan2_input_type1,atan2_input_type2],atan2_output_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']
> + ##### gentype atanh(gentype)
> + atanhUtests = func('atanh',[atanh_input_type],atanh_output_type,[atanh_input_values],'5 * FLT_ULP')
> +
> + ##### 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']
> + ##### gentype cbrt(gentype)
> + cbrtUtests = func('cbrt',[cbrt_input_type],cbrt_output_type,[cbrt_input_values],'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']
> + ##### gentype ceil(gentype)
> + ceilUtests = func('ceil',[ceil_input_type],ceil_output_type,[ceil_input_values],'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(copysign_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']
> + ##### gentype copysign(gentype x, gentype y)
> + copysignUtests = func('copysign',[copysign_input_type1,copysign_input_type2],copysign_output_type,[copysign_input_values1,copysign_input_values2],'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']
> + ##### gentype cos(gentype)
> + cosUtests = func('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']
> + ##### gentype cosh(gentype)
> + coshUtests = func('cosh',[cosh_input_type],cosh_output_type,[cosh_input_values],'4 * FLT_ULP')
> +
> + ##### 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']
> + ##### gentype erf(gentype)
> + erfUtests = func('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']
> + ##### gentype erfc(gentype)
> + erfcUtests = func('erfc',[erfc_input_type],erfc_output_type,[erfc_input_values],'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']
> + ##### gentype exp(gentype x)
> + expUtests = func('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']
> + ##### gentype exp2(gentype)
> + exp2Utests = func('exp2',[exp2_input_type],exp2_output_type,[exp2_input_values],'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']
> + ##### gentype exp10(gentype)
> + exp10Utests = func('exp10',[exp10_input_type],exp10_output_type,[exp10_input_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']
> + ##### gentype expm1(gentype x)
> + expm1Utests = func('expm1',[expm1_input_type],expm1_output_type,[expm1_input_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']
> + ##### gentype fabs(gentype)
> + fabsUtests = func('fabs',[fabs_input_type],fabs_output_type,[fabs_input_values],'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_values1,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']
> + ##### gentype fdim(gentype x, gentype y)
> + fdimUtests = func('fdim',[fdim_input_type1,fdim_input_type2],fdim_output_type,[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']
> + ##### gentype floor(gentype)
> + floorUtests = func('floor',[floor_input_type],floor_output_type,[floor_input_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=gene3ValuesLoop(fma_input_values1,fma_input_values2,fma_input_values3,fma_base_values)
> + 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']
> + ##### gentype fma(gentype a, gentype b, gentype c)
> + fmaUtests = func('fma',[fma_input_type1,fma_input_type2,fma_input_type3],fma_output_type,[fma_input_values1,fma_input_values2,fma_input_values3],'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_values1,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']
> + ##### gentype fmax(gentype x, gentype y)
> + fmaxUtests = func('fmax',[fmax_input_type1,fmax_input_type2],fmax_output_type,[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=gene2ValuesLoop(fmax_gentypef_input_values1,fmax_gentypef_input_values2,fmax_gentypef_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',[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_values1,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']
> + ##### gentype fmin(gentype x, gentype y)
> + fminUtests = func('fmin',[fmin_input_type1,fmin_input_type2],fmin_output_type,[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=gene2ValuesLoop(fmin_gentypef_input_values1,fmin_gentypef_input_values2,fmin_gentypef_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',[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_values1,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']
> + ##### gentype fmod(gentype x, gentype y)
> + fmodUtests = func('fmod',[fmod_input_type1,fmod_input_type2],fmod_output_type,[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']
> + ##### gentype hypot(gentype x, gentype y)
> + hypotUtests = func('hypot',[hypot_input_type1,hypot_input_type2],hypot_output_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']
> + ##### intn ilogb(floatn x)
> + ilogbUtests = func('ilogb',[ilogb_input_type],ilogb_output_type,[ilogb_input_values],'0 * INT_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']
> + ##### gentype log(gentype)
> + logUtests = func('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']
> + ##### gentype log2(gentype)
> + log2Utests = func('log2',[log2_input_type],log2_output_type,[log2_input_values],'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']
> + ##### gentype log10(gentype)
> + log10Utests = func('log10',[log10_input_type],log10_output_type,[log10_input_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']
> + ##### gentype log1p(gentype x)
> + log1pUtests = func('log1p',[log1p_input_type],log1p_output_type,[log1p_input_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']
> + ##### gentype logb(gentype x)
> + logbUtests = func('logb',[logb_input_type],logb_output_type,[logb_input_values],'0 * FLT_ULP')
> +
> +# ##### gentype mad(gentype a, gentype b, gentype c)
> +# #mad_base_values = base_input_values
> +# mad_base_values = base_input_values
> +# mad_input_values1 = []
> +# mad_input_values2 = []
> +# mad_input_values3 = []
> +# mad_input_values1,mad_input_values2,mad_input_values3=gene3ValuesLoop(mad_input_values1,mad_input_values2,mad_input_values3,mad_base_values)
> +# mad_input_type1 = ['float','float2','float4','float8','float16']
> +# mad_input_type2 = ['float','float2','float4','float8','float16']
> +# mad_input_type3 = ['float','float2','float4','float8','float16']
> +# mad_output_type = ['float','float2','float4','float8','float16']
> +# ##### gentype mad(gentype a, gentype b, gentype c)
> +# madUtests = func('mad',[mad_input_type1,mad_input_type2,mad_input_type3],mad_output_type,[mad_input_values1,mad_input_values2,mad_input_values3],'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_input_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']
> +# ##### gentype maxmag(gentype x, gentype y)
> +# maxmagUtests = func('maxmag',[maxmag_input_type1,maxmag_input_type2],maxmag_output_type,[maxmag_input_values1,maxmag_input_values2],'0 * FLT_ULP')
> +
> +# ##### 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_input_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']
> +# ##### gentype minmag(gentype x, gentype y)
> +# minmagUtests = func('minmag',[minmag_input_type1,minmag_input_type2],minmag_output_type,[minmag_input_values1,minmag_input_values2],'0 * FLT_ULP')
> +
> + ##### 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']
> + ###### floatn nan(uintn nancode)
> + # nanUtests = func('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(nextafter_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']
> + ##### gentype nextafter(gentype x, gentype y)
> + nextafterUtests = func('nextafter',[nextafter_input_type1,nextafter_input_type2],nextafter_output_type,[nextafter_input_values1,nextafter_input_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_values1,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']
> + ##### gentype pow(gentype x, gentype y)
> + powUtests = func('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']
> +# ##### floatn pown(floatn x, intn y)
> +# pownUtests = func('pown',[pown_input_type1,pown_input_type2],pown_output_type,[pown_input_values1,pown_input_values2],'16 * FLT_ULP')
> +# ##### gentype pown(gentype x, gentype y)
> +#
> +# ##### 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']
> +# powrUtests = func('powr',[powr_input_type1,powr_input_type2],powr_output_type,[powr_input_values1,powr_input_values2],'16 * FLT_ULP')
> +
> + ##### 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(remainder_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']
> + ##### gentype remainder(gentype x, gentype y)
> + remainderUtests = func('remainder',[remainder_input_type1,remainder_input_type2],remainder_output_type,[remainder_input_values1,remainder_input_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']
> + ##### gentype rint(gentype)
> + rintUtests = func('rint',[rint_input_type],rint_output_type,[rint_input_values],'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']
> +# ##### floatn rootn(floatn x, intn y)
> +# rootnUtests = func('rootn',[rootn_input_type1,rootn_input_type2],rootn_output_type,[rootn_input_values1,rootn_input_values2],'4 * FLT_ULP')
> +
> + ##### 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']
> + ##### gentype round(gentype x)
> + roundUtests = func('round',[round_input_type],round_output_type,[round_input_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']
> + ##### gentype rsqrt(gentype)
> + rsqrt_cpu_func='''
> +static float rsqrt(float x)
> +{ return 1/sqrt(x);} '''
> + rsqrtUtests = func('rsqrt',[rsqrt_input_type],rsqrt_output_type,[rsqrt_input_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']
> + ##### gentype sin(gentype)
> + sinUtests = func('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_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']
> + ##### gentype sinh(gentype)
> + sinhUtests = func('sinh',[sinh_input_type],sinh_output_type,[sinh_input_values],'4 * FLT_ULP')
> +
> + ##### 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']
> + ##### gentype sqrt(gentype)
> + sqrtUtests = func('sqrt',[sqrt_input_type],sqrt_output_type,[sqrt_input_values],'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']
> + ##### gentype tan(gentype)
> + tanUtests = func('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']
> + ##### gentype tanh(gentype)
> + tanhUtests = func('tanh',[tanh_input_type],tanh_output_type,[tanh_input_values],'5 * FLT_ULP')
> +
> + ##### 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']
> + ##### gentype tgamma(gentype)
> + tgammaUtests = func('tgamma',[tgamma_input_type],tgamma_output_type,[tgamma_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']
> + ##### gentype trunc(gentype)
> + truncUtests = func('trunc',[trunc_input_type],trunc_output_type,[trunc_input_values],'0 * FLT_ULP')
> +
> +if __name__ == "__main__":
> + main()
> --
> 1.7.6.4
>
> _______________________________________________
> Piglit mailing list
> Piglit at lists.freedesktop.org
> http://lists.freedesktop.org/mailman/listinfo/piglit
More information about the Piglit
mailing list