mirror of
https://github.com/KhronosGroup/OpenCL-CTS.git
synced 2026-03-19 06:09:01 +00:00
* Remove dead code Signed-off-by: Marco Antognini <marco.antognini@arm.com> * Remove tautological statements PARALLEL_REFERENCE is unconditionally defined. Remove preprocessor condition that always hold. Signed-off-by: Marco Antognini <marco.antognini@arm.com> * Remove unnecessary declarations Also removed unused macro. Signed-off-by: Marco Antognini <marco.antognini@arm.com> * Format code An unnecessary scope was removed. This formats the code using clang-format. Signed-off-by: Marco Antognini <marco.antognini@arm.com>
1790 lines
77 KiB
C++
1790 lines
77 KiB
C++
//
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// Copyright (c) 2017 The Khronos Group Inc.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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#include "Utility.h"
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#include <string.h>
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#include "FunctionList.h"
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#define CORRECTLY_ROUNDED 0
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#define FLUSHED 1
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int TestFunc_Float_Float_Float_Float(const Func *f, MTdata, bool relaxedMode);
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int TestFunc_Double_Double_Double_Double(const Func *f, MTdata,
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bool relaxedMode);
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extern const vtbl _ternary = { "ternary", TestFunc_Float_Float_Float_Float,
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TestFunc_Double_Double_Double_Double };
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static int BuildKernel(const char *name, int vectorSize, cl_kernel *k,
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cl_program *p, bool relaxedMode);
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static int BuildKernelDouble(const char *name, int vectorSize, cl_kernel *k,
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cl_program *p, bool relaxedMode);
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static int BuildKernel(const char *name, int vectorSize, cl_kernel *k,
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cl_program *p, bool relaxedMode)
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{
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const char *c[] = { "__kernel void math_kernel",
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sizeNames[vectorSize],
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"( __global float",
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sizeNames[vectorSize],
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"* out, __global float",
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sizeNames[vectorSize],
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"* in1, __global float",
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sizeNames[vectorSize],
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"* in2, __global float",
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sizeNames[vectorSize],
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"* in3 )\n"
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"{\n"
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" int i = get_global_id(0);\n"
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" out[i] = ",
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name,
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"( in1[i], in2[i], in3[i] );\n"
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"}\n" };
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const char *c3[] = {
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"__kernel void math_kernel",
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sizeNames[vectorSize],
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"( __global float* out, __global float* in, __global float* in2 , "
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"__global float* in3)\n"
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"{\n"
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" size_t i = get_global_id(0);\n"
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" if( i + 1 < get_global_size(0) )\n"
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" {\n"
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" float3 f0 = vload3( 0, in + 3 * i );\n"
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" float3 f1 = vload3( 0, in2 + 3 * i );\n"
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" float3 f2 = vload3( 0, in3 + 3 * i );\n"
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" f0 = ",
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name,
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"( f0, f1, f2 );\n"
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" vstore3( f0, 0, out + 3*i );\n"
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" }\n"
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" else\n"
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" {\n"
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" size_t parity = i & 1; // Figure out how many elements are "
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"left over after BUFFER_SIZE % (3*sizeof(float)). Assume power of two "
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"buffer size \n"
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" float3 f0, f1, f2;\n"
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" switch( parity )\n"
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" {\n"
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" case 1:\n"
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" f0 = (float3)( in[3*i], NAN, NAN ); \n"
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" f1 = (float3)( in2[3*i], NAN, NAN ); \n"
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" f2 = (float3)( in3[3*i], NAN, NAN ); \n"
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" break;\n"
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" case 0:\n"
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" f0 = (float3)( in[3*i], in[3*i+1], NAN ); \n"
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" f1 = (float3)( in2[3*i], in2[3*i+1], NAN ); \n"
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" f2 = (float3)( in3[3*i], in3[3*i+1], NAN ); \n"
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" break;\n"
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" }\n"
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" f0 = ",
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name,
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"( f0, f1, f2 );\n"
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" switch( parity )\n"
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" {\n"
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" case 0:\n"
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" out[3*i+1] = f0.y; \n"
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" // fall through\n"
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" case 1:\n"
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" out[3*i] = f0.x; \n"
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" break;\n"
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" }\n"
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" }\n"
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"}\n"
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};
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const char **kern = c;
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size_t kernSize = sizeof(c) / sizeof(c[0]);
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if (sizeValues[vectorSize] == 3)
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{
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kern = c3;
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kernSize = sizeof(c3) / sizeof(c3[0]);
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}
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char testName[32];
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snprintf(testName, sizeof(testName) - 1, "math_kernel%s",
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sizeNames[vectorSize]);
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return MakeKernel(kern, (cl_uint)kernSize, testName, k, p, relaxedMode);
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}
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static int BuildKernelDouble(const char *name, int vectorSize, cl_kernel *k,
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cl_program *p, bool relaxedMode)
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{
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const char *c[] = { "#pragma OPENCL EXTENSION cl_khr_fp64 : enable\n",
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"__kernel void math_kernel",
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sizeNames[vectorSize],
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"( __global double",
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sizeNames[vectorSize],
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"* out, __global double",
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sizeNames[vectorSize],
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"* in1, __global double",
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sizeNames[vectorSize],
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"* in2, __global double",
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sizeNames[vectorSize],
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"* in3 )\n"
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"{\n"
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" int i = get_global_id(0);\n"
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" out[i] = ",
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name,
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"( in1[i], in2[i], in3[i] );\n"
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"}\n" };
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const char *c3[] = {
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"#pragma OPENCL EXTENSION cl_khr_fp64 : enable\n",
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"__kernel void math_kernel",
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sizeNames[vectorSize],
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"( __global double* out, __global double* in, __global double* in2 , "
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"__global double* in3)\n"
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"{\n"
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" size_t i = get_global_id(0);\n"
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" if( i + 1 < get_global_size(0) )\n"
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" {\n"
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" double3 d0 = vload3( 0, in + 3 * i );\n"
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" double3 d1 = vload3( 0, in2 + 3 * i );\n"
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" double3 d2 = vload3( 0, in3 + 3 * i );\n"
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" d0 = ",
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name,
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"( d0, d1, d2 );\n"
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" vstore3( d0, 0, out + 3*i );\n"
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" }\n"
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" else\n"
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" {\n"
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" size_t parity = i & 1; // Figure out how many elements are "
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"left over after BUFFER_SIZE % (3*sizeof(float)). Assume power of two "
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"buffer size \n"
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" double3 d0, d1, d2;\n"
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" switch( parity )\n"
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" {\n"
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" case 1:\n"
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" d0 = (double3)( in[3*i], NAN, NAN ); \n"
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" d1 = (double3)( in2[3*i], NAN, NAN ); \n"
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" d2 = (double3)( in3[3*i], NAN, NAN ); \n"
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" break;\n"
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" case 0:\n"
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" d0 = (double3)( in[3*i], in[3*i+1], NAN ); \n"
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" d1 = (double3)( in2[3*i], in2[3*i+1], NAN ); \n"
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" d2 = (double3)( in3[3*i], in3[3*i+1], NAN ); \n"
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" break;\n"
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" }\n"
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" d0 = ",
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name,
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"( d0, d1, d2 );\n"
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" switch( parity )\n"
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" {\n"
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" case 0:\n"
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" out[3*i+1] = d0.y; \n"
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" // fall through\n"
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" case 1:\n"
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" out[3*i] = d0.x; \n"
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" break;\n"
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" }\n"
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" }\n"
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"}\n"
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};
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const char **kern = c;
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size_t kernSize = sizeof(c) / sizeof(c[0]);
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if (sizeValues[vectorSize] == 3)
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{
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kern = c3;
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kernSize = sizeof(c3) / sizeof(c3[0]);
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}
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char testName[32];
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snprintf(testName, sizeof(testName) - 1, "math_kernel%s",
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sizeNames[vectorSize]);
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return MakeKernel(kern, (cl_uint)kernSize, testName, k, p, relaxedMode);
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}
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typedef struct BuildKernelInfo
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{
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cl_uint offset; // the first vector size to build
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cl_kernel *kernels;
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cl_program *programs;
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const char *nameInCode;
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bool relaxedMode; // Whether to build with -cl-fast-relaxed-math.
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} BuildKernelInfo;
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static cl_int BuildKernel_FloatFn(cl_uint job_id, cl_uint thread_id UNUSED,
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void *p);
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static cl_int BuildKernel_FloatFn(cl_uint job_id, cl_uint thread_id UNUSED,
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void *p)
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{
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BuildKernelInfo *info = (BuildKernelInfo *)p;
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cl_uint i = info->offset + job_id;
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return BuildKernel(info->nameInCode, i, info->kernels + i,
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info->programs + i, info->relaxedMode);
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}
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static cl_int BuildKernel_DoubleFn(cl_uint job_id, cl_uint thread_id UNUSED,
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void *p);
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static cl_int BuildKernel_DoubleFn(cl_uint job_id, cl_uint thread_id UNUSED,
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void *p)
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{
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BuildKernelInfo *info = (BuildKernelInfo *)p;
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cl_uint i = info->offset + job_id;
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return BuildKernelDouble(info->nameInCode, i, info->kernels + i,
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info->programs + i, info->relaxedMode);
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}
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// A table of more difficult cases to get right
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static const float specialValuesFloat[] = {
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-NAN,
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-INFINITY,
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-FLT_MAX,
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MAKE_HEX_FLOAT(-0x1.000002p64f, -0x1000002L, 40),
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MAKE_HEX_FLOAT(-0x1.0p64f, -0x1L, 64),
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MAKE_HEX_FLOAT(-0x1.fffffep63f, -0x1fffffeL, 39),
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MAKE_HEX_FLOAT(-0x1.000002p63f, -0x1000002L, 39),
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MAKE_HEX_FLOAT(-0x1.0p63f, -0x1L, 63),
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MAKE_HEX_FLOAT(-0x1.fffffep62f, -0x1fffffeL, 38),
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-3.0f,
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MAKE_HEX_FLOAT(-0x1.800002p1f, -0x1800002L, -23),
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-2.5f,
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MAKE_HEX_FLOAT(-0x1.7ffffep1f, -0x17ffffeL, -23),
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-2.0f,
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MAKE_HEX_FLOAT(-0x1.800002p0f, -0x1800002L, -24),
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-1.75f,
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-1.5f,
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-1.25f,
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MAKE_HEX_FLOAT(-0x1.7ffffep0f, -0x17ffffeL, -24),
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MAKE_HEX_FLOAT(-0x1.000002p0f, -0x1000002L, -24),
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MAKE_HEX_FLOAT(-0x1.003p0f, -0x1003000L, -24),
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-MAKE_HEX_FLOAT(0x1.001p0f, 0x1001000L, -24),
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-1.0f,
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MAKE_HEX_FLOAT(-0x1.fffffep-1f, -0x1fffffeL, -25),
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MAKE_HEX_FLOAT(-0x1.000002p-126f, -0x1000002L, -150),
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-FLT_MIN,
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MAKE_HEX_FLOAT(-0x0.fffffep-126f, -0x0fffffeL, -150),
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MAKE_HEX_FLOAT(-0x0.000ffep-126f, -0x0000ffeL, -150),
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MAKE_HEX_FLOAT(-0x0.0000fep-126f, -0x00000feL, -150),
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MAKE_HEX_FLOAT(-0x0.00000ep-126f, -0x000000eL, -150),
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MAKE_HEX_FLOAT(-0x0.00000cp-126f, -0x000000cL, -150),
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MAKE_HEX_FLOAT(-0x0.00000ap-126f, -0x000000aL, -150),
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MAKE_HEX_FLOAT(-0x0.000008p-126f, -0x0000008L, -150),
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MAKE_HEX_FLOAT(-0x0.000006p-126f, -0x0000006L, -150),
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MAKE_HEX_FLOAT(-0x0.000004p-126f, -0x0000004L, -150),
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MAKE_HEX_FLOAT(-0x0.000002p-126f, -0x0000002L, -150),
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-0.0f,
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+NAN,
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+INFINITY,
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+FLT_MAX,
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MAKE_HEX_FLOAT(+0x1.000002p64f, +0x1000002L, 40),
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MAKE_HEX_FLOAT(+0x1.0p64f, +0x1L, 64),
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MAKE_HEX_FLOAT(+0x1.fffffep63f, +0x1fffffeL, 39),
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MAKE_HEX_FLOAT(+0x1.000002p63f, +0x1000002L, 39),
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MAKE_HEX_FLOAT(+0x1.0p63f, +0x1L, 63),
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MAKE_HEX_FLOAT(+0x1.fffffep62f, +0x1fffffeL, 38),
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+3.0f,
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MAKE_HEX_FLOAT(+0x1.800002p1f, +0x1800002L, -23),
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2.5f,
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MAKE_HEX_FLOAT(+0x1.7ffffep1f, +0x17ffffeL, -23),
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+2.0f,
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MAKE_HEX_FLOAT(+0x1.800002p0f, +0x1800002L, -24),
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1.75f,
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1.5f,
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1.25f,
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MAKE_HEX_FLOAT(+0x1.7ffffep0f, +0x17ffffeL, -24),
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MAKE_HEX_FLOAT(+0x1.000002p0f, +0x1000002L, -24),
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MAKE_HEX_FLOAT(0x1.003p0f, 0x1003000L, -24),
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+MAKE_HEX_FLOAT(0x1.001p0f, 0x1001000L, -24),
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+1.0f,
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MAKE_HEX_FLOAT(+0x1.fffffep-1f, +0x1fffffeL, -25),
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MAKE_HEX_FLOAT(0x1.000002p-126f, 0x1000002L, -150),
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+FLT_MIN,
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MAKE_HEX_FLOAT(+0x0.fffffep-126f, +0x0fffffeL, -150),
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MAKE_HEX_FLOAT(+0x0.000ffep-126f, +0x0000ffeL, -150),
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MAKE_HEX_FLOAT(+0x0.0000fep-126f, +0x00000feL, -150),
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MAKE_HEX_FLOAT(+0x0.00000ep-126f, +0x000000eL, -150),
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MAKE_HEX_FLOAT(+0x0.00000cp-126f, +0x000000cL, -150),
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MAKE_HEX_FLOAT(+0x0.00000ap-126f, +0x000000aL, -150),
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MAKE_HEX_FLOAT(+0x0.000008p-126f, +0x0000008L, -150),
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MAKE_HEX_FLOAT(+0x0.000006p-126f, +0x0000006L, -150),
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MAKE_HEX_FLOAT(+0x0.000004p-126f, +0x0000004L, -150),
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MAKE_HEX_FLOAT(+0x0.000002p-126f, +0x0000002L, -150),
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+0.0f
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};
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static size_t specialValuesFloatCount =
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sizeof(specialValuesFloat) / sizeof(specialValuesFloat[0]);
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int TestFunc_Float_Float_Float_Float(const Func *f, MTdata d, bool relaxedMode)
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{
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uint64_t i;
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uint32_t j, k;
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int error;
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cl_program programs[VECTOR_SIZE_COUNT];
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cl_kernel kernels[VECTOR_SIZE_COUNT];
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float maxError = 0.0f;
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int ftz = f->ftz || gForceFTZ || 0 == (CL_FP_DENORM & gFloatCapabilities);
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float maxErrorVal = 0.0f;
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float maxErrorVal2 = 0.0f;
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float maxErrorVal3 = 0.0f;
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size_t bufferSize = (gWimpyMode) ? gWimpyBufferSize : BUFFER_SIZE;
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uint64_t step = getTestStep(sizeof(float), bufferSize);
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int skipNanInf = (0 == strcmp("fma", f->nameInCode)) && !gInfNanSupport;
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cl_uchar overflow[BUFFER_SIZE / sizeof(float)];
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float float_ulps;
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logFunctionInfo(f->name, sizeof(cl_float), relaxedMode);
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if (gIsEmbedded)
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float_ulps = f->float_embedded_ulps;
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else
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float_ulps = f->float_ulps;
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// Init the kernels
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BuildKernelInfo build_info = { gMinVectorSizeIndex, kernels, programs,
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f->nameInCode, relaxedMode };
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if ((error = ThreadPool_Do(BuildKernel_FloatFn,
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gMaxVectorSizeIndex - gMinVectorSizeIndex,
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&build_info)))
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return error;
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for (i = 0; i < (1ULL << 32); i += step)
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{
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// Init input array
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uint32_t *p = (uint32_t *)gIn;
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uint32_t *p2 = (uint32_t *)gIn2;
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uint32_t *p3 = (uint32_t *)gIn3;
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j = 0;
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if (i == 0)
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{ // test edge cases
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float *fp = (float *)gIn;
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float *fp2 = (float *)gIn2;
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float *fp3 = (float *)gIn3;
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uint32_t x, y, z;
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x = y = z = 0;
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for (; j < bufferSize / sizeof(float); j++)
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{
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fp[j] = specialValuesFloat[x];
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fp2[j] = specialValuesFloat[y];
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fp3[j] = specialValuesFloat[z];
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if (++x >= specialValuesFloatCount)
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{
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x = 0;
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if (++y >= specialValuesFloatCount)
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{
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y = 0;
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if (++z >= specialValuesFloatCount) break;
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}
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}
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}
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if (j == bufferSize / sizeof(float))
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vlog_error("Test Error: not all special cases tested!\n");
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}
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for (; j < bufferSize / sizeof(float); j++)
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{
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p[j] = genrand_int32(d);
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p2[j] = genrand_int32(d);
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p3[j] = genrand_int32(d);
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}
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if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer, CL_FALSE, 0,
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bufferSize, gIn, 0, NULL, NULL)))
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{
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vlog_error("\n*** Error %d in clEnqueueWriteBuffer ***\n", error);
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return error;
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}
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if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer2, CL_FALSE, 0,
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bufferSize, gIn2, 0, NULL, NULL)))
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{
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vlog_error("\n*** Error %d in clEnqueueWriteBuffer2 ***\n", error);
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return error;
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}
|
|
if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer3, CL_FALSE, 0,
|
|
bufferSize, gIn3, 0, NULL, NULL)))
|
|
{
|
|
vlog_error("\n*** Error %d in clEnqueueWriteBuffer3 ***\n", error);
|
|
return error;
|
|
}
|
|
|
|
// write garbage into output arrays
|
|
for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
|
|
{
|
|
uint32_t pattern = 0xffffdead;
|
|
memset_pattern4(gOut[j], &pattern, bufferSize);
|
|
if ((error =
|
|
clEnqueueWriteBuffer(gQueue, gOutBuffer[j], CL_FALSE, 0,
|
|
bufferSize, gOut[j], 0, NULL, NULL)))
|
|
{
|
|
vlog_error("\n*** Error %d in clEnqueueWriteBuffer2(%d) ***\n",
|
|
error, j);
|
|
goto exit;
|
|
}
|
|
}
|
|
|
|
// Run the kernels
|
|
for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
|
|
{
|
|
size_t vectorSize = sizeof(cl_float) * sizeValues[j];
|
|
size_t localCount = (bufferSize + vectorSize - 1)
|
|
/ vectorSize; // bufferSize / vectorSize rounded up
|
|
if ((error = clSetKernelArg(kernels[j], 0, sizeof(gOutBuffer[j]),
|
|
&gOutBuffer[j])))
|
|
{
|
|
LogBuildError(programs[j]);
|
|
goto exit;
|
|
}
|
|
if ((error = clSetKernelArg(kernels[j], 1, sizeof(gInBuffer),
|
|
&gInBuffer)))
|
|
{
|
|
LogBuildError(programs[j]);
|
|
goto exit;
|
|
}
|
|
if ((error = clSetKernelArg(kernels[j], 2, sizeof(gInBuffer2),
|
|
&gInBuffer2)))
|
|
{
|
|
LogBuildError(programs[j]);
|
|
goto exit;
|
|
}
|
|
if ((error = clSetKernelArg(kernels[j], 3, sizeof(gInBuffer3),
|
|
&gInBuffer3)))
|
|
{
|
|
LogBuildError(programs[j]);
|
|
goto exit;
|
|
}
|
|
|
|
if ((error =
|
|
clEnqueueNDRangeKernel(gQueue, kernels[j], 1, NULL,
|
|
&localCount, NULL, 0, NULL, NULL)))
|
|
{
|
|
vlog_error("FAILED -- could not execute kernel\n");
|
|
goto exit;
|
|
}
|
|
}
|
|
|
|
// Get that moving
|
|
if ((error = clFlush(gQueue))) vlog("clFlush failed\n");
|
|
|
|
// Calculate the correctly rounded reference result
|
|
float *r = (float *)gOut_Ref;
|
|
float *s = (float *)gIn;
|
|
float *s2 = (float *)gIn2;
|
|
float *s3 = (float *)gIn3;
|
|
if (skipNanInf)
|
|
{
|
|
for (j = 0; j < bufferSize / sizeof(float); j++)
|
|
{
|
|
feclearexcept(FE_OVERFLOW);
|
|
r[j] =
|
|
(float)f->func.f_fma(s[j], s2[j], s3[j], CORRECTLY_ROUNDED);
|
|
overflow[j] =
|
|
FE_OVERFLOW == (FE_OVERFLOW & fetestexcept(FE_OVERFLOW));
|
|
}
|
|
}
|
|
else
|
|
{
|
|
for (j = 0; j < bufferSize / sizeof(float); j++)
|
|
r[j] =
|
|
(float)f->func.f_fma(s[j], s2[j], s3[j], CORRECTLY_ROUNDED);
|
|
}
|
|
|
|
|
|
// Read the data back
|
|
for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
|
|
{
|
|
if ((error =
|
|
clEnqueueReadBuffer(gQueue, gOutBuffer[j], CL_TRUE, 0,
|
|
bufferSize, gOut[j], 0, NULL, NULL)))
|
|
{
|
|
vlog_error("ReadArray failed %d\n", error);
|
|
goto exit;
|
|
}
|
|
}
|
|
|
|
if (gSkipCorrectnessTesting) break;
|
|
|
|
// Verify data
|
|
uint32_t *t = (uint32_t *)gOut_Ref;
|
|
for (j = 0; j < bufferSize / sizeof(float); j++)
|
|
{
|
|
for (k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++)
|
|
{
|
|
uint32_t *q = (uint32_t *)(gOut[k]);
|
|
|
|
// If we aren't getting the correctly rounded result
|
|
if (t[j] != q[j])
|
|
{
|
|
float err;
|
|
int fail;
|
|
float test = ((float *)q)[j];
|
|
float correct =
|
|
f->func.f_fma(s[j], s2[j], s3[j], CORRECTLY_ROUNDED);
|
|
|
|
// Per section 10 paragraph 6, accept any result if an input
|
|
// or output is a infinity or NaN or overflow
|
|
if (skipNanInf)
|
|
{
|
|
if (overflow[j] || IsFloatInfinity(correct)
|
|
|| IsFloatNaN(correct) || IsFloatInfinity(s[j])
|
|
|| IsFloatNaN(s[j]) || IsFloatInfinity(s2[j])
|
|
|| IsFloatNaN(s2[j]) || IsFloatInfinity(s3[j])
|
|
|| IsFloatNaN(s3[j]))
|
|
continue;
|
|
}
|
|
|
|
|
|
err = Ulp_Error(test, correct);
|
|
fail = !(fabsf(err) <= float_ulps);
|
|
|
|
if (fail && ftz)
|
|
{
|
|
float correct2, err2;
|
|
|
|
// retry per section 6.5.3.2 with flushing on
|
|
if (0.0f == test
|
|
&& 0.0f
|
|
== f->func.f_fma(s[j], s2[j], s3[j], FLUSHED))
|
|
{
|
|
fail = 0;
|
|
err = 0.0f;
|
|
}
|
|
|
|
// retry per section 6.5.3.3
|
|
if (fail && IsFloatSubnormal(s[j]))
|
|
{ // look at me,
|
|
float err3, correct3;
|
|
|
|
if (skipNanInf) feclearexcept(FE_OVERFLOW);
|
|
|
|
correct2 = f->func.f_fma(0.0f, s2[j], s3[j],
|
|
CORRECTLY_ROUNDED);
|
|
correct3 = f->func.f_fma(-0.0f, s2[j], s3[j],
|
|
CORRECTLY_ROUNDED);
|
|
|
|
if (skipNanInf)
|
|
{
|
|
if (fetestexcept(FE_OVERFLOW)) continue;
|
|
|
|
// Note: no double rounding here. Reference
|
|
// functions calculate in single precision.
|
|
if (IsFloatInfinity(correct2)
|
|
|| IsFloatNaN(correct2)
|
|
|| IsFloatInfinity(correct3)
|
|
|| IsFloatNaN(correct3))
|
|
continue;
|
|
}
|
|
|
|
err2 = Ulp_Error(test, correct2);
|
|
err3 = Ulp_Error(test, correct3);
|
|
fail = fail
|
|
&& ((!(fabsf(err2) <= float_ulps))
|
|
&& (!(fabsf(err3) <= float_ulps)));
|
|
if (fabsf(err2) < fabsf(err)) err = err2;
|
|
if (fabsf(err3) < fabsf(err)) err = err3;
|
|
|
|
// retry per section 6.5.3.4
|
|
if (0.0f == test
|
|
&& (0.0f
|
|
== f->func.f_fma(0.0f, s2[j], s3[j],
|
|
FLUSHED)
|
|
|| 0.0f
|
|
== f->func.f_fma(-0.0f, s2[j], s3[j],
|
|
FLUSHED)))
|
|
{
|
|
fail = 0;
|
|
err = 0.0f;
|
|
}
|
|
|
|
// try with first two args as zero
|
|
if (IsFloatSubnormal(s2[j]))
|
|
{ // its fun to have fun,
|
|
double correct4, correct5;
|
|
float err4, err5;
|
|
|
|
if (skipNanInf) feclearexcept(FE_OVERFLOW);
|
|
|
|
correct2 = f->func.f_fma(0.0f, 0.0f, s3[j],
|
|
CORRECTLY_ROUNDED);
|
|
correct3 = f->func.f_fma(-0.0f, 0.0f, s3[j],
|
|
CORRECTLY_ROUNDED);
|
|
correct4 = f->func.f_fma(0.0f, -0.0f, s3[j],
|
|
CORRECTLY_ROUNDED);
|
|
correct5 = f->func.f_fma(-0.0f, -0.0f, s3[j],
|
|
CORRECTLY_ROUNDED);
|
|
|
|
// Per section 10 paragraph 6, accept any result
|
|
// if an input or output is a infinity or NaN or
|
|
// overflow
|
|
if (!gInfNanSupport)
|
|
{
|
|
if (fetestexcept(FE_OVERFLOW)) continue;
|
|
|
|
// Note: no double rounding here. Reference
|
|
// functions calculate in single precision.
|
|
if (IsFloatInfinity(correct2)
|
|
|| IsFloatNaN(correct2)
|
|
|| IsFloatInfinity(correct3)
|
|
|| IsFloatNaN(correct3)
|
|
|| IsFloatInfinity(correct4)
|
|
|| IsFloatNaN(correct4)
|
|
|| IsFloatInfinity(correct5)
|
|
|| IsFloatNaN(correct5))
|
|
continue;
|
|
}
|
|
|
|
err2 = Ulp_Error(test, correct2);
|
|
err3 = Ulp_Error(test, correct3);
|
|
err4 = Ulp_Error(test, correct4);
|
|
err5 = Ulp_Error(test, correct5);
|
|
fail = fail
|
|
&& ((!(fabsf(err2) <= float_ulps))
|
|
&& (!(fabsf(err3) <= float_ulps))
|
|
&& (!(fabsf(err4) <= float_ulps))
|
|
&& (!(fabsf(err5) <= float_ulps)));
|
|
if (fabsf(err2) < fabsf(err)) err = err2;
|
|
if (fabsf(err3) < fabsf(err)) err = err3;
|
|
if (fabsf(err4) < fabsf(err)) err = err4;
|
|
if (fabsf(err5) < fabsf(err)) err = err5;
|
|
|
|
// retry per section 6.5.3.4
|
|
if (0.0f == test
|
|
&& (0.0f
|
|
== f->func.f_fma(0.0f, 0.0f, s3[j],
|
|
FLUSHED)
|
|
|| 0.0f
|
|
== f->func.f_fma(-0.0f, 0.0f, s3[j],
|
|
FLUSHED)
|
|
|| 0.0f
|
|
== f->func.f_fma(0.0f, -0.0f, s3[j],
|
|
FLUSHED)
|
|
|| 0.0f
|
|
== f->func.f_fma(-0.0f, -0.0f,
|
|
s3[j], FLUSHED)))
|
|
{
|
|
fail = 0;
|
|
err = 0.0f;
|
|
}
|
|
|
|
if (IsFloatSubnormal(s3[j]))
|
|
{
|
|
if (test == 0.0f) // 0*0+0 is 0
|
|
{
|
|
fail = 0;
|
|
err = 0.0f;
|
|
}
|
|
}
|
|
}
|
|
else if (IsFloatSubnormal(s3[j]))
|
|
{
|
|
double correct4, correct5;
|
|
float err4, err5;
|
|
|
|
if (skipNanInf) feclearexcept(FE_OVERFLOW);
|
|
|
|
correct2 = f->func.f_fma(0.0f, s2[j], 0.0f,
|
|
CORRECTLY_ROUNDED);
|
|
correct3 = f->func.f_fma(-0.0f, s2[j], 0.0f,
|
|
CORRECTLY_ROUNDED);
|
|
correct4 = f->func.f_fma(0.0f, s2[j], -0.0f,
|
|
CORRECTLY_ROUNDED);
|
|
correct5 = f->func.f_fma(-0.0f, s2[j], -0.0f,
|
|
CORRECTLY_ROUNDED);
|
|
|
|
// Per section 10 paragraph 6, accept any result
|
|
// if an input or output is a infinity or NaN or
|
|
// overflow
|
|
if (!gInfNanSupport)
|
|
{
|
|
if (fetestexcept(FE_OVERFLOW)) continue;
|
|
|
|
// Note: no double rounding here. Reference
|
|
// functions calculate in single precision.
|
|
if (IsFloatInfinity(correct2)
|
|
|| IsFloatNaN(correct2)
|
|
|| IsFloatInfinity(correct3)
|
|
|| IsFloatNaN(correct3)
|
|
|| IsFloatInfinity(correct4)
|
|
|| IsFloatNaN(correct4)
|
|
|| IsFloatInfinity(correct5)
|
|
|| IsFloatNaN(correct5))
|
|
continue;
|
|
}
|
|
|
|
err2 = Ulp_Error(test, correct2);
|
|
err3 = Ulp_Error(test, correct3);
|
|
err4 = Ulp_Error(test, correct4);
|
|
err5 = Ulp_Error(test, correct5);
|
|
fail = fail
|
|
&& ((!(fabsf(err2) <= float_ulps))
|
|
&& (!(fabsf(err3) <= float_ulps))
|
|
&& (!(fabsf(err4) <= float_ulps))
|
|
&& (!(fabsf(err5) <= float_ulps)));
|
|
if (fabsf(err2) < fabsf(err)) err = err2;
|
|
if (fabsf(err3) < fabsf(err)) err = err3;
|
|
if (fabsf(err4) < fabsf(err)) err = err4;
|
|
if (fabsf(err5) < fabsf(err)) err = err5;
|
|
|
|
// retry per section 6.5.3.4
|
|
if (0.0f == test
|
|
&& (0.0f
|
|
== f->func.f_fma(0.0f, s2[j], 0.0f,
|
|
FLUSHED)
|
|
|| 0.0f
|
|
== f->func.f_fma(-0.0f, s2[j], 0.0f,
|
|
FLUSHED)
|
|
|| 0.0f
|
|
== f->func.f_fma(0.0f, s2[j], -0.0f,
|
|
FLUSHED)
|
|
|| 0.0f
|
|
== f->func.f_fma(-0.0f, s2[j],
|
|
-0.0f, FLUSHED)))
|
|
{
|
|
fail = 0;
|
|
err = 0.0f;
|
|
}
|
|
}
|
|
}
|
|
else if (fail && IsFloatSubnormal(s2[j]))
|
|
{
|
|
double correct2, correct3;
|
|
float err2, err3;
|
|
|
|
if (skipNanInf) feclearexcept(FE_OVERFLOW);
|
|
|
|
correct2 = f->func.f_fma(s[j], 0.0f, s3[j],
|
|
CORRECTLY_ROUNDED);
|
|
correct3 = f->func.f_fma(s[j], -0.0f, s3[j],
|
|
CORRECTLY_ROUNDED);
|
|
|
|
if (skipNanInf)
|
|
{
|
|
if (fetestexcept(FE_OVERFLOW)) continue;
|
|
|
|
// Note: no double rounding here. Reference
|
|
// functions calculate in single precision.
|
|
if (IsFloatInfinity(correct2)
|
|
|| IsFloatNaN(correct2)
|
|
|| IsFloatInfinity(correct3)
|
|
|| IsFloatNaN(correct3))
|
|
continue;
|
|
}
|
|
|
|
err2 = Ulp_Error(test, correct2);
|
|
err3 = Ulp_Error(test, correct3);
|
|
fail = fail
|
|
&& ((!(fabsf(err2) <= float_ulps))
|
|
&& (!(fabsf(err3) <= float_ulps)));
|
|
if (fabsf(err2) < fabsf(err)) err = err2;
|
|
if (fabsf(err3) < fabsf(err)) err = err3;
|
|
|
|
// retry per section 6.5.3.4
|
|
if (0.0f == test
|
|
&& (0.0f
|
|
== f->func.f_fma(s[j], 0.0f, s3[j],
|
|
FLUSHED)
|
|
|| 0.0f
|
|
== f->func.f_fma(s[j], -0.0f, s3[j],
|
|
FLUSHED)))
|
|
{
|
|
fail = 0;
|
|
err = 0.0f;
|
|
}
|
|
|
|
// try with second two args as zero
|
|
if (IsFloatSubnormal(s3[j]))
|
|
{
|
|
double correct4, correct5;
|
|
float err4, err5;
|
|
|
|
if (skipNanInf) feclearexcept(FE_OVERFLOW);
|
|
|
|
correct2 = f->func.f_fma(s[j], 0.0f, 0.0f,
|
|
CORRECTLY_ROUNDED);
|
|
correct3 = f->func.f_fma(s[j], -0.0f, 0.0f,
|
|
CORRECTLY_ROUNDED);
|
|
correct4 = f->func.f_fma(s[j], 0.0f, -0.0f,
|
|
CORRECTLY_ROUNDED);
|
|
correct5 = f->func.f_fma(s[j], -0.0f, -0.0f,
|
|
CORRECTLY_ROUNDED);
|
|
|
|
// Per section 10 paragraph 6, accept any result
|
|
// if an input or output is a infinity or NaN or
|
|
// overflow
|
|
if (!gInfNanSupport)
|
|
{
|
|
if (fetestexcept(FE_OVERFLOW)) continue;
|
|
|
|
// Note: no double rounding here. Reference
|
|
// functions calculate in single precision.
|
|
if (IsFloatInfinity(correct2)
|
|
|| IsFloatNaN(correct2)
|
|
|| IsFloatInfinity(correct3)
|
|
|| IsFloatNaN(correct3)
|
|
|| IsFloatInfinity(correct4)
|
|
|| IsFloatNaN(correct4)
|
|
|| IsFloatInfinity(correct5)
|
|
|| IsFloatNaN(correct5))
|
|
continue;
|
|
}
|
|
|
|
err2 = Ulp_Error(test, correct2);
|
|
err3 = Ulp_Error(test, correct3);
|
|
err4 = Ulp_Error(test, correct4);
|
|
err5 = Ulp_Error(test, correct5);
|
|
fail = fail
|
|
&& ((!(fabsf(err2) <= float_ulps))
|
|
&& (!(fabsf(err3) <= float_ulps))
|
|
&& (!(fabsf(err4) <= float_ulps))
|
|
&& (!(fabsf(err5) <= float_ulps)));
|
|
if (fabsf(err2) < fabsf(err)) err = err2;
|
|
if (fabsf(err3) < fabsf(err)) err = err3;
|
|
if (fabsf(err4) < fabsf(err)) err = err4;
|
|
if (fabsf(err5) < fabsf(err)) err = err5;
|
|
|
|
// retry per section 6.5.3.4
|
|
if (0.0f == test
|
|
&& (0.0f
|
|
== f->func.f_fma(s[j], 0.0f, 0.0f,
|
|
FLUSHED)
|
|
|| 0.0f
|
|
== f->func.f_fma(s[j], -0.0f, 0.0f,
|
|
FLUSHED)
|
|
|| 0.0f
|
|
== f->func.f_fma(s[j], 0.0f, -0.0f,
|
|
FLUSHED)
|
|
|| 0.0f
|
|
== f->func.f_fma(s[j], -0.0f, -0.0f,
|
|
FLUSHED)))
|
|
{
|
|
fail = 0;
|
|
err = 0.0f;
|
|
}
|
|
}
|
|
}
|
|
else if (fail && IsFloatSubnormal(s3[j]))
|
|
{
|
|
double correct2, correct3;
|
|
float err2, err3;
|
|
|
|
if (skipNanInf) feclearexcept(FE_OVERFLOW);
|
|
|
|
correct2 = f->func.f_fma(s[j], s2[j], 0.0f,
|
|
CORRECTLY_ROUNDED);
|
|
correct3 = f->func.f_fma(s[j], s2[j], -0.0f,
|
|
CORRECTLY_ROUNDED);
|
|
|
|
if (skipNanInf)
|
|
{
|
|
if (fetestexcept(FE_OVERFLOW)) continue;
|
|
|
|
// Note: no double rounding here. Reference
|
|
// functions calculate in single precision.
|
|
if (IsFloatInfinity(correct2)
|
|
|| IsFloatNaN(correct2)
|
|
|| IsFloatInfinity(correct3)
|
|
|| IsFloatNaN(correct3))
|
|
continue;
|
|
}
|
|
|
|
err2 = Ulp_Error(test, correct2);
|
|
err3 = Ulp_Error(test, correct3);
|
|
fail = fail
|
|
&& ((!(fabsf(err2) <= float_ulps))
|
|
&& (!(fabsf(err3) <= float_ulps)));
|
|
if (fabsf(err2) < fabsf(err)) err = err2;
|
|
if (fabsf(err3) < fabsf(err)) err = err3;
|
|
|
|
// retry per section 6.5.3.4
|
|
if (0.0f == test
|
|
&& (0.0f
|
|
== f->func.f_fma(s[j], s2[j], 0.0f,
|
|
FLUSHED)
|
|
|| 0.0f
|
|
== f->func.f_fma(s[j], s2[j], -0.0f,
|
|
FLUSHED)))
|
|
{
|
|
fail = 0;
|
|
err = 0.0f;
|
|
}
|
|
}
|
|
}
|
|
|
|
if (fabsf(err) > maxError)
|
|
{
|
|
maxError = fabsf(err);
|
|
maxErrorVal = s[j];
|
|
maxErrorVal2 = s2[j];
|
|
maxErrorVal3 = s3[j];
|
|
}
|
|
|
|
if (fail)
|
|
{
|
|
vlog_error(
|
|
"\nERROR: %s%s: %f ulp error at {%a, %a, %a} "
|
|
"({0x%8.8x, 0x%8.8x, 0x%8.8x}): *%a vs. %a\n",
|
|
f->name, sizeNames[k], err, s[j], s2[j], s3[j],
|
|
((cl_uint *)s)[j], ((cl_uint *)s2)[j],
|
|
((cl_uint *)s3)[j], ((float *)gOut_Ref)[j], test);
|
|
error = -1;
|
|
goto exit;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if (0 == (i & 0x0fffffff))
|
|
{
|
|
if (gVerboseBruteForce)
|
|
{
|
|
vlog("base:%14u step:%10u bufferSize:%10zd \n", i, step,
|
|
bufferSize);
|
|
}
|
|
else
|
|
{
|
|
vlog(".");
|
|
}
|
|
fflush(stdout);
|
|
}
|
|
}
|
|
|
|
if (!gSkipCorrectnessTesting)
|
|
{
|
|
if (gWimpyMode)
|
|
vlog("Wimp pass");
|
|
else
|
|
vlog("passed");
|
|
}
|
|
|
|
if (gMeasureTimes)
|
|
{
|
|
// Init input array
|
|
uint32_t *p = (uint32_t *)gIn;
|
|
uint32_t *p2 = (uint32_t *)gIn2;
|
|
uint32_t *p3 = (uint32_t *)gIn3;
|
|
for (j = 0; j < bufferSize / sizeof(float); j++)
|
|
{
|
|
p[j] = genrand_int32(d);
|
|
p2[j] = genrand_int32(d);
|
|
p3[j] = genrand_int32(d);
|
|
}
|
|
if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer, CL_FALSE, 0,
|
|
bufferSize, gIn, 0, NULL, NULL)))
|
|
{
|
|
vlog_error("\n*** Error %d in clEnqueueWriteBuffer ***\n", error);
|
|
return error;
|
|
}
|
|
if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer2, CL_FALSE, 0,
|
|
bufferSize, gIn2, 0, NULL, NULL)))
|
|
{
|
|
vlog_error("\n*** Error %d in clEnqueueWriteBuffer2 ***\n", error);
|
|
return error;
|
|
}
|
|
if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer3, CL_FALSE, 0,
|
|
bufferSize, gIn3, 0, NULL, NULL)))
|
|
{
|
|
vlog_error("\n*** Error %d in clEnqueueWriteBuffer3 ***\n", error);
|
|
return error;
|
|
}
|
|
|
|
|
|
// Run the kernels
|
|
for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
|
|
{
|
|
size_t vectorSize = sizeof(cl_float) * sizeValues[j];
|
|
size_t localCount = (bufferSize + vectorSize - 1)
|
|
/ vectorSize; // bufferSize / vectorSize rounded up
|
|
if ((error = clSetKernelArg(kernels[j], 0, sizeof(gOutBuffer[j]),
|
|
&gOutBuffer[j])))
|
|
{
|
|
LogBuildError(programs[j]);
|
|
goto exit;
|
|
}
|
|
if ((error = clSetKernelArg(kernels[j], 1, sizeof(gInBuffer),
|
|
&gInBuffer)))
|
|
{
|
|
LogBuildError(programs[j]);
|
|
goto exit;
|
|
}
|
|
if ((error = clSetKernelArg(kernels[j], 2, sizeof(gInBuffer2),
|
|
&gInBuffer2)))
|
|
{
|
|
LogBuildError(programs[j]);
|
|
goto exit;
|
|
}
|
|
if ((error = clSetKernelArg(kernels[j], 3, sizeof(gInBuffer3),
|
|
&gInBuffer3)))
|
|
{
|
|
LogBuildError(programs[j]);
|
|
goto exit;
|
|
}
|
|
|
|
double sum = 0.0;
|
|
double bestTime = INFINITY;
|
|
for (k = 0; k < PERF_LOOP_COUNT; k++)
|
|
{
|
|
uint64_t startTime = GetTime();
|
|
if ((error = clEnqueueNDRangeKernel(gQueue, kernels[j], 1, NULL,
|
|
&localCount, NULL, 0, NULL,
|
|
NULL)))
|
|
{
|
|
vlog_error("FAILED -- could not execute kernel\n");
|
|
goto exit;
|
|
}
|
|
|
|
// Make sure OpenCL is done
|
|
if ((error = clFinish(gQueue)))
|
|
{
|
|
vlog_error("Error %d at clFinish\n", error);
|
|
goto exit;
|
|
}
|
|
|
|
uint64_t endTime = GetTime();
|
|
double time = SubtractTime(endTime, startTime);
|
|
sum += time;
|
|
if (time < bestTime) bestTime = time;
|
|
}
|
|
|
|
if (gReportAverageTimes) bestTime = sum / PERF_LOOP_COUNT;
|
|
double clocksPerOp = bestTime * (double)gDeviceFrequency
|
|
* gComputeDevices * gSimdSize * 1e6
|
|
/ (bufferSize / sizeof(float));
|
|
vlog_perf(clocksPerOp, LOWER_IS_BETTER, "clocks / element", "%sf%s",
|
|
f->name, sizeNames[j]);
|
|
}
|
|
}
|
|
|
|
if (!gSkipCorrectnessTesting)
|
|
vlog("\t%8.2f @ {%a, %a, %a}", maxError, maxErrorVal, maxErrorVal2,
|
|
maxErrorVal3);
|
|
vlog("\n");
|
|
|
|
exit:
|
|
// Release
|
|
for (k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++)
|
|
{
|
|
clReleaseKernel(kernels[k]);
|
|
clReleaseProgram(programs[k]);
|
|
}
|
|
|
|
return error;
|
|
}
|
|
|
|
// A table of more difficult cases to get right
|
|
static const double specialValuesDouble[] = {
|
|
-NAN,
|
|
-INFINITY,
|
|
-DBL_MAX,
|
|
MAKE_HEX_DOUBLE(-0x1.0000000000001p64, -0x10000000000001LL, 12),
|
|
MAKE_HEX_DOUBLE(-0x1.0p64, -0x1LL, 64),
|
|
MAKE_HEX_DOUBLE(-0x1.fffffffffffffp63, -0x1fffffffffffffLL, 11),
|
|
MAKE_HEX_DOUBLE(-0x1.0000000000001p63, -0x10000000000001LL, 11),
|
|
MAKE_HEX_DOUBLE(-0x1.0p63, -0x1LL, 63),
|
|
MAKE_HEX_DOUBLE(-0x1.fffffffffffffp62, -0x1fffffffffffffLL, 10),
|
|
-3.0,
|
|
MAKE_HEX_DOUBLE(-0x1.8000000000001p1, -0x18000000000001LL, -51),
|
|
-2.5,
|
|
MAKE_HEX_DOUBLE(-0x1.7ffffffffffffp1, -0x17ffffffffffffLL, -51),
|
|
-2.0,
|
|
MAKE_HEX_DOUBLE(-0x1.8000000000001p0, -0x18000000000001LL, -52),
|
|
-1.5,
|
|
MAKE_HEX_DOUBLE(-0x1.7ffffffffffffp0, -0x17ffffffffffffLL, -52),
|
|
MAKE_HEX_DOUBLE(-0x1.0000000000001p0, -0x10000000000001LL, -52),
|
|
-1.0,
|
|
MAKE_HEX_DOUBLE(-0x1.fffffffffffffp-1, -0x1fffffffffffffLL, -53),
|
|
MAKE_HEX_DOUBLE(-0x1.0000000000001p-1022, -0x10000000000001LL, -1074),
|
|
-DBL_MIN,
|
|
MAKE_HEX_DOUBLE(-0x0.fffffffffffffp-1022, -0x0fffffffffffffLL, -1074),
|
|
MAKE_HEX_DOUBLE(-0x0.0000000000fffp-1022, -0x00000000000fffLL, -1074),
|
|
MAKE_HEX_DOUBLE(-0x0.00000000000fep-1022, -0x000000000000feLL, -1074),
|
|
MAKE_HEX_DOUBLE(-0x0.000000000000ep-1022, -0x0000000000000eLL, -1074),
|
|
MAKE_HEX_DOUBLE(-0x0.000000000000cp-1022, -0x0000000000000cLL, -1074),
|
|
MAKE_HEX_DOUBLE(-0x0.000000000000ap-1022, -0x0000000000000aLL, -1074),
|
|
MAKE_HEX_DOUBLE(-0x0.0000000000003p-1022, -0x00000000000003LL, -1074),
|
|
MAKE_HEX_DOUBLE(-0x0.0000000000002p-1022, -0x00000000000002LL, -1074),
|
|
MAKE_HEX_DOUBLE(-0x0.0000000000001p-1022, -0x00000000000001LL, -1074),
|
|
-0.0,
|
|
|
|
+NAN,
|
|
+INFINITY,
|
|
+DBL_MAX,
|
|
MAKE_HEX_DOUBLE(+0x1.0000000000001p64, +0x10000000000001LL, 12),
|
|
MAKE_HEX_DOUBLE(+0x1.0p64, +0x1LL, 64),
|
|
MAKE_HEX_DOUBLE(+0x1.fffffffffffffp63, +0x1fffffffffffffLL, 11),
|
|
MAKE_HEX_DOUBLE(+0x1.0000000000001p63, +0x10000000000001LL, 11),
|
|
MAKE_HEX_DOUBLE(+0x1.0p63, +0x1LL, 63),
|
|
MAKE_HEX_DOUBLE(+0x1.fffffffffffffp62, +0x1fffffffffffffLL, 10),
|
|
+3.0,
|
|
MAKE_HEX_DOUBLE(+0x1.8000000000001p1, +0x18000000000001LL, -51),
|
|
+2.5,
|
|
MAKE_HEX_DOUBLE(+0x1.7ffffffffffffp1, +0x17ffffffffffffLL, -51),
|
|
+2.0,
|
|
MAKE_HEX_DOUBLE(+0x1.8000000000001p0, +0x18000000000001LL, -52),
|
|
+1.5,
|
|
MAKE_HEX_DOUBLE(+0x1.7ffffffffffffp0, +0x17ffffffffffffLL, -52),
|
|
MAKE_HEX_DOUBLE(-0x1.0000000000001p0, -0x10000000000001LL, -52),
|
|
+1.0,
|
|
MAKE_HEX_DOUBLE(+0x1.fffffffffffffp-1, +0x1fffffffffffffLL, -53),
|
|
MAKE_HEX_DOUBLE(+0x1.0000000000001p-1022, +0x10000000000001LL, -1074),
|
|
+DBL_MIN,
|
|
MAKE_HEX_DOUBLE(+0x0.fffffffffffffp-1022, +0x0fffffffffffffLL, -1074),
|
|
MAKE_HEX_DOUBLE(+0x0.0000000000fffp-1022, +0x00000000000fffLL, -1074),
|
|
MAKE_HEX_DOUBLE(+0x0.00000000000fep-1022, +0x000000000000feLL, -1074),
|
|
MAKE_HEX_DOUBLE(+0x0.000000000000ep-1022, +0x0000000000000eLL, -1074),
|
|
MAKE_HEX_DOUBLE(+0x0.000000000000cp-1022, +0x0000000000000cLL, -1074),
|
|
MAKE_HEX_DOUBLE(+0x0.000000000000ap-1022, +0x0000000000000aLL, -1074),
|
|
MAKE_HEX_DOUBLE(+0x0.0000000000003p-1022, +0x00000000000003LL, -1074),
|
|
MAKE_HEX_DOUBLE(+0x0.0000000000002p-1022, +0x00000000000002LL, -1074),
|
|
MAKE_HEX_DOUBLE(+0x0.0000000000001p-1022, +0x00000000000001LL, -1074),
|
|
+0.0,
|
|
};
|
|
|
|
static const size_t specialValuesDoubleCount =
|
|
sizeof(specialValuesDouble) / sizeof(specialValuesDouble[0]);
|
|
|
|
|
|
int TestFunc_Double_Double_Double_Double(const Func *f, MTdata d,
|
|
bool relaxedMode)
|
|
{
|
|
uint64_t i;
|
|
uint32_t j, k;
|
|
int error;
|
|
cl_program programs[VECTOR_SIZE_COUNT];
|
|
cl_kernel kernels[VECTOR_SIZE_COUNT];
|
|
float maxError = 0.0f;
|
|
int ftz = f->ftz || gForceFTZ;
|
|
double maxErrorVal = 0.0f;
|
|
double maxErrorVal2 = 0.0f;
|
|
double maxErrorVal3 = 0.0f;
|
|
logFunctionInfo(f->name, sizeof(cl_double), relaxedMode);
|
|
|
|
size_t bufferSize = (gWimpyMode) ? gWimpyBufferSize : BUFFER_SIZE;
|
|
uint64_t step = getTestStep(sizeof(double), bufferSize);
|
|
|
|
Force64BitFPUPrecision();
|
|
|
|
// Init the kernels
|
|
BuildKernelInfo build_info = { gMinVectorSizeIndex, kernels, programs,
|
|
f->nameInCode, relaxedMode };
|
|
if ((error = ThreadPool_Do(BuildKernel_DoubleFn,
|
|
gMaxVectorSizeIndex - gMinVectorSizeIndex,
|
|
&build_info)))
|
|
{
|
|
return error;
|
|
}
|
|
|
|
for (i = 0; i < (1ULL << 32); i += step)
|
|
{
|
|
// Init input array
|
|
double *p = (double *)gIn;
|
|
double *p2 = (double *)gIn2;
|
|
double *p3 = (double *)gIn3;
|
|
j = 0;
|
|
if (i == 0)
|
|
{ // test edge cases
|
|
uint32_t x, y, z;
|
|
x = y = z = 0;
|
|
for (; j < bufferSize / sizeof(double); j++)
|
|
{
|
|
p[j] = specialValuesDouble[x];
|
|
p2[j] = specialValuesDouble[y];
|
|
p3[j] = specialValuesDouble[z];
|
|
if (++x >= specialValuesDoubleCount)
|
|
{
|
|
x = 0;
|
|
if (++y >= specialValuesDoubleCount)
|
|
{
|
|
y = 0;
|
|
if (++z >= specialValuesDoubleCount) break;
|
|
}
|
|
}
|
|
}
|
|
if (j == bufferSize / sizeof(double))
|
|
vlog_error("Test Error: not all special cases tested!\n");
|
|
}
|
|
|
|
for (; j < bufferSize / sizeof(double); j++)
|
|
{
|
|
p[j] = DoubleFromUInt32(genrand_int32(d));
|
|
p2[j] = DoubleFromUInt32(genrand_int32(d));
|
|
p3[j] = DoubleFromUInt32(genrand_int32(d));
|
|
}
|
|
if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer, CL_FALSE, 0,
|
|
bufferSize, gIn, 0, NULL, NULL)))
|
|
{
|
|
vlog_error("\n*** Error %d in clEnqueueWriteBuffer ***\n", error);
|
|
return error;
|
|
}
|
|
if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer2, CL_FALSE, 0,
|
|
bufferSize, gIn2, 0, NULL, NULL)))
|
|
{
|
|
vlog_error("\n*** Error %d in clEnqueueWriteBuffer2 ***\n", error);
|
|
return error;
|
|
}
|
|
if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer3, CL_FALSE, 0,
|
|
bufferSize, gIn3, 0, NULL, NULL)))
|
|
{
|
|
vlog_error("\n*** Error %d in clEnqueueWriteBuffer3 ***\n", error);
|
|
return error;
|
|
}
|
|
|
|
// write garbage into output arrays
|
|
for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
|
|
{
|
|
uint32_t pattern = 0xffffdead;
|
|
memset_pattern4(gOut[j], &pattern, bufferSize);
|
|
if ((error =
|
|
clEnqueueWriteBuffer(gQueue, gOutBuffer[j], CL_FALSE, 0,
|
|
bufferSize, gOut[j], 0, NULL, NULL)))
|
|
{
|
|
vlog_error("\n*** Error %d in clEnqueueWriteBuffer2(%d) ***\n",
|
|
error, j);
|
|
goto exit;
|
|
}
|
|
}
|
|
|
|
// Run the kernels
|
|
for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
|
|
{
|
|
size_t vectorSize = sizeof(cl_double) * sizeValues[j];
|
|
size_t localCount = (bufferSize + vectorSize - 1)
|
|
/ vectorSize; // bufferSize / vectorSize rounded up
|
|
if ((error = clSetKernelArg(kernels[j], 0, sizeof(gOutBuffer[j]),
|
|
&gOutBuffer[j])))
|
|
{
|
|
LogBuildError(programs[j]);
|
|
goto exit;
|
|
}
|
|
if ((error = clSetKernelArg(kernels[j], 1, sizeof(gInBuffer),
|
|
&gInBuffer)))
|
|
{
|
|
LogBuildError(programs[j]);
|
|
goto exit;
|
|
}
|
|
if ((error = clSetKernelArg(kernels[j], 2, sizeof(gInBuffer2),
|
|
&gInBuffer2)))
|
|
{
|
|
LogBuildError(programs[j]);
|
|
goto exit;
|
|
}
|
|
if ((error = clSetKernelArg(kernels[j], 3, sizeof(gInBuffer3),
|
|
&gInBuffer3)))
|
|
{
|
|
LogBuildError(programs[j]);
|
|
goto exit;
|
|
}
|
|
|
|
if ((error =
|
|
clEnqueueNDRangeKernel(gQueue, kernels[j], 1, NULL,
|
|
&localCount, NULL, 0, NULL, NULL)))
|
|
{
|
|
vlog_error("FAILED -- could not execute kernel\n");
|
|
goto exit;
|
|
}
|
|
}
|
|
|
|
|
|
// Get that moving
|
|
if ((error = clFlush(gQueue))) vlog("clFlush failed\n");
|
|
|
|
// Calculate the correctly rounded reference result
|
|
double *r = (double *)gOut_Ref;
|
|
double *s = (double *)gIn;
|
|
double *s2 = (double *)gIn2;
|
|
double *s3 = (double *)gIn3;
|
|
for (j = 0; j < bufferSize / sizeof(double); j++)
|
|
r[j] = (double)f->dfunc.f_fff(s[j], s2[j], s3[j]);
|
|
|
|
// Read the data back
|
|
for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
|
|
{
|
|
if ((error =
|
|
clEnqueueReadBuffer(gQueue, gOutBuffer[j], CL_TRUE, 0,
|
|
bufferSize, gOut[j], 0, NULL, NULL)))
|
|
{
|
|
vlog_error("ReadArray failed %d\n", error);
|
|
goto exit;
|
|
}
|
|
}
|
|
|
|
if (gSkipCorrectnessTesting) break;
|
|
|
|
// Verify data
|
|
uint64_t *t = (uint64_t *)gOut_Ref;
|
|
for (j = 0; j < bufferSize / sizeof(double); j++)
|
|
{
|
|
for (k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++)
|
|
{
|
|
uint64_t *q = (uint64_t *)(gOut[k]);
|
|
|
|
// If we aren't getting the correctly rounded result
|
|
if (t[j] != q[j])
|
|
{
|
|
double test = ((double *)q)[j];
|
|
long double correct = f->dfunc.f_fff(s[j], s2[j], s3[j]);
|
|
float err = Bruteforce_Ulp_Error_Double(test, correct);
|
|
int fail = !(fabsf(err) <= f->double_ulps);
|
|
|
|
if (fail && ftz)
|
|
{
|
|
// retry per section 6.5.3.2
|
|
if (IsDoubleSubnormal(correct))
|
|
{ // look at me,
|
|
fail = fail && (test != 0.0f);
|
|
if (!fail) err = 0.0f;
|
|
}
|
|
|
|
// retry per section 6.5.3.3
|
|
if (fail && IsDoubleSubnormal(s[j]))
|
|
{ // look at me,
|
|
long double correct2 =
|
|
f->dfunc.f_fff(0.0, s2[j], s3[j]);
|
|
long double correct3 =
|
|
f->dfunc.f_fff(-0.0, s2[j], s3[j]);
|
|
float err2 =
|
|
Bruteforce_Ulp_Error_Double(test, correct2);
|
|
float err3 =
|
|
Bruteforce_Ulp_Error_Double(test, correct3);
|
|
fail = fail
|
|
&& ((!(fabsf(err2) <= f->double_ulps))
|
|
&& (!(fabsf(err3) <= f->double_ulps)));
|
|
if (fabsf(err2) < fabsf(err)) err = err2;
|
|
if (fabsf(err3) < fabsf(err)) err = err3;
|
|
|
|
// retry per section 6.5.3.4
|
|
if (IsDoubleResultSubnormal(correct2,
|
|
f->double_ulps)
|
|
|| IsDoubleResultSubnormal(correct3,
|
|
f->double_ulps))
|
|
{ // look at me now,
|
|
fail = fail && (test != 0.0f);
|
|
if (!fail) err = 0.0f;
|
|
}
|
|
|
|
// try with first two args as zero
|
|
if (IsDoubleSubnormal(s2[j]))
|
|
{ // its fun to have fun,
|
|
correct2 = f->dfunc.f_fff(0.0, 0.0, s3[j]);
|
|
correct3 = f->dfunc.f_fff(-0.0, 0.0, s3[j]);
|
|
long double correct4 =
|
|
f->dfunc.f_fff(0.0, -0.0, s3[j]);
|
|
long double correct5 =
|
|
f->dfunc.f_fff(-0.0, -0.0, s3[j]);
|
|
err2 =
|
|
Bruteforce_Ulp_Error_Double(test, correct2);
|
|
err3 =
|
|
Bruteforce_Ulp_Error_Double(test, correct3);
|
|
float err4 =
|
|
Bruteforce_Ulp_Error_Double(test, correct4);
|
|
float err5 =
|
|
Bruteforce_Ulp_Error_Double(test, correct5);
|
|
fail = fail
|
|
&& ((!(fabsf(err2) <= f->double_ulps))
|
|
&& (!(fabsf(err3) <= f->double_ulps))
|
|
&& (!(fabsf(err4) <= f->double_ulps))
|
|
&& (!(fabsf(err5) <= f->double_ulps)));
|
|
if (fabsf(err2) < fabsf(err)) err = err2;
|
|
if (fabsf(err3) < fabsf(err)) err = err3;
|
|
if (fabsf(err4) < fabsf(err)) err = err4;
|
|
if (fabsf(err5) < fabsf(err)) err = err5;
|
|
|
|
// retry per section 6.5.3.4
|
|
if (IsDoubleResultSubnormal(correct2,
|
|
f->double_ulps)
|
|
|| IsDoubleResultSubnormal(correct3,
|
|
f->double_ulps)
|
|
|| IsDoubleResultSubnormal(correct4,
|
|
f->double_ulps)
|
|
|| IsDoubleResultSubnormal(correct5,
|
|
f->double_ulps))
|
|
{
|
|
fail = fail && (test != 0.0f);
|
|
if (!fail) err = 0.0f;
|
|
}
|
|
|
|
if (IsDoubleSubnormal(s3[j]))
|
|
{ // but you have to know how!
|
|
correct2 = f->dfunc.f_fff(0.0, 0.0, 0.0f);
|
|
correct3 = f->dfunc.f_fff(-0.0, 0.0, 0.0f);
|
|
correct4 = f->dfunc.f_fff(0.0, -0.0, 0.0f);
|
|
correct5 = f->dfunc.f_fff(-0.0, -0.0, 0.0f);
|
|
long double correct6 =
|
|
f->dfunc.f_fff(0.0, 0.0, -0.0f);
|
|
long double correct7 =
|
|
f->dfunc.f_fff(-0.0, 0.0, -0.0f);
|
|
long double correct8 =
|
|
f->dfunc.f_fff(0.0, -0.0, -0.0f);
|
|
long double correct9 =
|
|
f->dfunc.f_fff(-0.0, -0.0, -0.0f);
|
|
err2 = Bruteforce_Ulp_Error_Double(
|
|
test, correct2);
|
|
err3 = Bruteforce_Ulp_Error_Double(
|
|
test, correct3);
|
|
err4 = Bruteforce_Ulp_Error_Double(
|
|
test, correct4);
|
|
err5 = Bruteforce_Ulp_Error_Double(
|
|
test, correct5);
|
|
float err6 = Bruteforce_Ulp_Error_Double(
|
|
test, correct6);
|
|
float err7 = Bruteforce_Ulp_Error_Double(
|
|
test, correct7);
|
|
float err8 = Bruteforce_Ulp_Error_Double(
|
|
test, correct8);
|
|
float err9 = Bruteforce_Ulp_Error_Double(
|
|
test, correct9);
|
|
fail = fail
|
|
&& ((!(fabsf(err2) <= f->double_ulps))
|
|
&& (!(fabsf(err3)
|
|
<= f->double_ulps))
|
|
&& (!(fabsf(err4)
|
|
<= f->double_ulps))
|
|
&& (!(fabsf(err5)
|
|
<= f->double_ulps))
|
|
&& (!(fabsf(err5)
|
|
<= f->double_ulps))
|
|
&& (!(fabsf(err6)
|
|
<= f->double_ulps))
|
|
&& (!(fabsf(err7)
|
|
<= f->double_ulps))
|
|
&& (!(fabsf(err8)
|
|
<= f->double_ulps)));
|
|
if (fabsf(err2) < fabsf(err)) err = err2;
|
|
if (fabsf(err3) < fabsf(err)) err = err3;
|
|
if (fabsf(err4) < fabsf(err)) err = err4;
|
|
if (fabsf(err5) < fabsf(err)) err = err5;
|
|
if (fabsf(err6) < fabsf(err)) err = err6;
|
|
if (fabsf(err7) < fabsf(err)) err = err7;
|
|
if (fabsf(err8) < fabsf(err)) err = err8;
|
|
if (fabsf(err9) < fabsf(err)) err = err9;
|
|
|
|
// retry per section 6.5.3.4
|
|
if (IsDoubleResultSubnormal(correct2,
|
|
f->double_ulps)
|
|
|| IsDoubleResultSubnormal(
|
|
correct3, f->double_ulps)
|
|
|| IsDoubleResultSubnormal(
|
|
correct4, f->double_ulps)
|
|
|| IsDoubleResultSubnormal(
|
|
correct5, f->double_ulps)
|
|
|| IsDoubleResultSubnormal(
|
|
correct6, f->double_ulps)
|
|
|| IsDoubleResultSubnormal(
|
|
correct7, f->double_ulps)
|
|
|| IsDoubleResultSubnormal(
|
|
correct8, f->double_ulps)
|
|
|| IsDoubleResultSubnormal(
|
|
correct9, f->double_ulps))
|
|
{
|
|
fail = fail && (test != 0.0f);
|
|
if (!fail) err = 0.0f;
|
|
}
|
|
}
|
|
}
|
|
else if (IsDoubleSubnormal(s3[j]))
|
|
{
|
|
correct2 = f->dfunc.f_fff(0.0, s2[j], 0.0);
|
|
correct3 = f->dfunc.f_fff(-0.0, s2[j], 0.0);
|
|
long double correct4 =
|
|
f->dfunc.f_fff(0.0, s2[j], -0.0);
|
|
long double correct5 =
|
|
f->dfunc.f_fff(-0.0, s2[j], -0.0);
|
|
err2 =
|
|
Bruteforce_Ulp_Error_Double(test, correct2);
|
|
err3 =
|
|
Bruteforce_Ulp_Error_Double(test, correct3);
|
|
float err4 =
|
|
Bruteforce_Ulp_Error_Double(test, correct4);
|
|
float err5 =
|
|
Bruteforce_Ulp_Error_Double(test, correct5);
|
|
fail = fail
|
|
&& ((!(fabsf(err2) <= f->double_ulps))
|
|
&& (!(fabsf(err3) <= f->double_ulps))
|
|
&& (!(fabsf(err4) <= f->double_ulps))
|
|
&& (!(fabsf(err5) <= f->double_ulps)));
|
|
if (fabsf(err2) < fabsf(err)) err = err2;
|
|
if (fabsf(err3) < fabsf(err)) err = err3;
|
|
if (fabsf(err4) < fabsf(err)) err = err4;
|
|
if (fabsf(err5) < fabsf(err)) err = err5;
|
|
|
|
// retry per section 6.5.3.4
|
|
if (IsDoubleResultSubnormal(correct2,
|
|
f->double_ulps)
|
|
|| IsDoubleResultSubnormal(correct3,
|
|
f->double_ulps)
|
|
|| IsDoubleResultSubnormal(correct4,
|
|
f->double_ulps)
|
|
|| IsDoubleResultSubnormal(correct5,
|
|
f->double_ulps))
|
|
{
|
|
fail = fail && (test != 0.0f);
|
|
if (!fail) err = 0.0f;
|
|
}
|
|
}
|
|
}
|
|
else if (fail && IsDoubleSubnormal(s2[j]))
|
|
{
|
|
long double correct2 =
|
|
f->dfunc.f_fff(s[j], 0.0, s3[j]);
|
|
long double correct3 =
|
|
f->dfunc.f_fff(s[j], -0.0, s3[j]);
|
|
float err2 =
|
|
Bruteforce_Ulp_Error_Double(test, correct2);
|
|
float err3 =
|
|
Bruteforce_Ulp_Error_Double(test, correct3);
|
|
fail = fail
|
|
&& ((!(fabsf(err2) <= f->double_ulps))
|
|
&& (!(fabsf(err3) <= f->double_ulps)));
|
|
if (fabsf(err2) < fabsf(err)) err = err2;
|
|
if (fabsf(err3) < fabsf(err)) err = err3;
|
|
|
|
// retry per section 6.5.3.4
|
|
if (IsDoubleResultSubnormal(correct2,
|
|
f->double_ulps)
|
|
|| IsDoubleResultSubnormal(correct3,
|
|
f->double_ulps))
|
|
{
|
|
fail = fail && (test != 0.0f);
|
|
if (!fail) err = 0.0f;
|
|
}
|
|
|
|
// try with second two args as zero
|
|
if (IsDoubleSubnormal(s3[j]))
|
|
{
|
|
correct2 = f->dfunc.f_fff(s[j], 0.0, 0.0);
|
|
correct3 = f->dfunc.f_fff(s[j], -0.0, 0.0);
|
|
long double correct4 =
|
|
f->dfunc.f_fff(s[j], 0.0, -0.0);
|
|
long double correct5 =
|
|
f->dfunc.f_fff(s[j], -0.0, -0.0);
|
|
err2 =
|
|
Bruteforce_Ulp_Error_Double(test, correct2);
|
|
err3 =
|
|
Bruteforce_Ulp_Error_Double(test, correct3);
|
|
float err4 =
|
|
Bruteforce_Ulp_Error_Double(test, correct4);
|
|
float err5 =
|
|
Bruteforce_Ulp_Error_Double(test, correct5);
|
|
fail = fail
|
|
&& ((!(fabsf(err2) <= f->double_ulps))
|
|
&& (!(fabsf(err3) <= f->double_ulps))
|
|
&& (!(fabsf(err4) <= f->double_ulps))
|
|
&& (!(fabsf(err5) <= f->double_ulps)));
|
|
if (fabsf(err2) < fabsf(err)) err = err2;
|
|
if (fabsf(err3) < fabsf(err)) err = err3;
|
|
if (fabsf(err4) < fabsf(err)) err = err4;
|
|
if (fabsf(err5) < fabsf(err)) err = err5;
|
|
|
|
// retry per section 6.5.3.4
|
|
if (IsDoubleResultSubnormal(correct2,
|
|
f->double_ulps)
|
|
|| IsDoubleResultSubnormal(correct3,
|
|
f->double_ulps)
|
|
|| IsDoubleResultSubnormal(correct4,
|
|
f->double_ulps)
|
|
|| IsDoubleResultSubnormal(correct5,
|
|
f->double_ulps))
|
|
{
|
|
fail = fail && (test != 0.0f);
|
|
if (!fail) err = 0.0f;
|
|
}
|
|
}
|
|
}
|
|
else if (fail && IsDoubleSubnormal(s3[j]))
|
|
{
|
|
long double correct2 =
|
|
f->dfunc.f_fff(s[j], s2[j], 0.0);
|
|
long double correct3 =
|
|
f->dfunc.f_fff(s[j], s2[j], -0.0);
|
|
float err2 =
|
|
Bruteforce_Ulp_Error_Double(test, correct2);
|
|
float err3 =
|
|
Bruteforce_Ulp_Error_Double(test, correct3);
|
|
fail = fail
|
|
&& ((!(fabsf(err2) <= f->double_ulps))
|
|
&& (!(fabsf(err3) <= f->double_ulps)));
|
|
if (fabsf(err2) < fabsf(err)) err = err2;
|
|
if (fabsf(err3) < fabsf(err)) err = err3;
|
|
|
|
// retry per section 6.5.3.4
|
|
if (IsDoubleResultSubnormal(correct2,
|
|
f->double_ulps)
|
|
|| IsDoubleResultSubnormal(correct3,
|
|
f->double_ulps))
|
|
{
|
|
fail = fail && (test != 0.0f);
|
|
if (!fail) err = 0.0f;
|
|
}
|
|
}
|
|
}
|
|
|
|
if (fabsf(err) > maxError)
|
|
{
|
|
maxError = fabsf(err);
|
|
maxErrorVal = s[j];
|
|
maxErrorVal2 = s2[j];
|
|
maxErrorVal3 = s3[j];
|
|
}
|
|
|
|
if (fail)
|
|
{
|
|
vlog_error("\nERROR: %sD%s: %f ulp error at {%.13la, "
|
|
"%.13la, %.13la}: *%.13la vs. %.13la\n",
|
|
f->name, sizeNames[k], err, s[j], s2[j],
|
|
s3[j], ((double *)gOut_Ref)[j], test);
|
|
error = -1;
|
|
goto exit;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if (0 == (i & 0x0fffffff))
|
|
{
|
|
if (gVerboseBruteForce)
|
|
{
|
|
vlog("base:%14u step:%10zu bufferSize:%10zd \n", i, step,
|
|
bufferSize);
|
|
}
|
|
else
|
|
{
|
|
vlog(".");
|
|
}
|
|
fflush(stdout);
|
|
}
|
|
}
|
|
|
|
if (!gSkipCorrectnessTesting)
|
|
{
|
|
if (gWimpyMode)
|
|
vlog("Wimp pass");
|
|
else
|
|
vlog("passed");
|
|
}
|
|
|
|
if (gMeasureTimes)
|
|
{
|
|
// Init input array
|
|
double *p = (double *)gIn;
|
|
double *p2 = (double *)gIn2;
|
|
double *p3 = (double *)gIn3;
|
|
for (j = 0; j < bufferSize / sizeof(double); j++)
|
|
{
|
|
p[j] = DoubleFromUInt32(genrand_int32(d));
|
|
p2[j] = DoubleFromUInt32(genrand_int32(d));
|
|
p3[j] = DoubleFromUInt32(genrand_int32(d));
|
|
}
|
|
if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer, CL_FALSE, 0,
|
|
bufferSize, gIn, 0, NULL, NULL)))
|
|
{
|
|
vlog_error("\n*** Error %d in clEnqueueWriteBuffer ***\n", error);
|
|
return error;
|
|
}
|
|
if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer2, CL_FALSE, 0,
|
|
bufferSize, gIn2, 0, NULL, NULL)))
|
|
{
|
|
vlog_error("\n*** Error %d in clEnqueueWriteBuffer2 ***\n", error);
|
|
return error;
|
|
}
|
|
if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer3, CL_FALSE, 0,
|
|
bufferSize, gIn3, 0, NULL, NULL)))
|
|
{
|
|
vlog_error("\n*** Error %d in clEnqueueWriteBuffer3 ***\n", error);
|
|
return error;
|
|
}
|
|
|
|
|
|
// Run the kernels
|
|
for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
|
|
{
|
|
size_t vectorSize = sizeof(cl_double) * sizeValues[j];
|
|
size_t localCount = (bufferSize + vectorSize - 1)
|
|
/ vectorSize; // bufferSize / vectorSize rounded up
|
|
if ((error = clSetKernelArg(kernels[j], 0, sizeof(gOutBuffer[j]),
|
|
&gOutBuffer[j])))
|
|
{
|
|
LogBuildError(programs[j]);
|
|
goto exit;
|
|
}
|
|
if ((error = clSetKernelArg(kernels[j], 1, sizeof(gInBuffer),
|
|
&gInBuffer)))
|
|
{
|
|
LogBuildError(programs[j]);
|
|
goto exit;
|
|
}
|
|
if ((error = clSetKernelArg(kernels[j], 2, sizeof(gInBuffer2),
|
|
&gInBuffer2)))
|
|
{
|
|
LogBuildError(programs[j]);
|
|
goto exit;
|
|
}
|
|
if ((error = clSetKernelArg(kernels[j], 3, sizeof(gInBuffer3),
|
|
&gInBuffer3)))
|
|
{
|
|
LogBuildError(programs[j]);
|
|
goto exit;
|
|
}
|
|
|
|
double sum = 0.0;
|
|
double bestTime = INFINITY;
|
|
for (k = 0; k < PERF_LOOP_COUNT; k++)
|
|
{
|
|
uint64_t startTime = GetTime();
|
|
if ((error = clEnqueueNDRangeKernel(gQueue, kernels[j], 1, NULL,
|
|
&localCount, NULL, 0, NULL,
|
|
NULL)))
|
|
{
|
|
vlog_error("FAILED -- could not execute kernel\n");
|
|
goto exit;
|
|
}
|
|
|
|
// Make sure OpenCL is done
|
|
if ((error = clFinish(gQueue)))
|
|
{
|
|
vlog_error("Error %d at clFinish\n", error);
|
|
goto exit;
|
|
}
|
|
|
|
uint64_t endTime = GetTime();
|
|
double time = SubtractTime(endTime, startTime);
|
|
sum += time;
|
|
if (time < bestTime) bestTime = time;
|
|
}
|
|
|
|
if (gReportAverageTimes) bestTime = sum / PERF_LOOP_COUNT;
|
|
double clocksPerOp = bestTime * (double)gDeviceFrequency
|
|
* gComputeDevices * gSimdSize * 1e6
|
|
/ (bufferSize / sizeof(double));
|
|
vlog_perf(clocksPerOp, LOWER_IS_BETTER, "clocks / element", "%sD%s",
|
|
f->name, sizeNames[j]);
|
|
}
|
|
for (; j < gMaxVectorSizeIndex; j++) vlog("\t -- ");
|
|
}
|
|
|
|
if (!gSkipCorrectnessTesting)
|
|
vlog("\t%8.2f @ {%a, %a, %a}", maxError, maxErrorVal, maxErrorVal2,
|
|
maxErrorVal3);
|
|
vlog("\n");
|
|
|
|
exit:
|
|
// Release
|
|
for (k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++)
|
|
{
|
|
clReleaseKernel(kernels[k]);
|
|
clReleaseProgram(programs[k]);
|
|
}
|
|
|
|
return error;
|
|
}
|