amilanov-amd
da9bb4efae
* SWDEV-503089 - Fix and enable disabled HIP tests from math group * SWDEV-503089 - Move single precision reduced run to a common function
267 行
8.2 KiB
C++
267 行
8.2 KiB
C++
/*
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Copyright (c) 2023 Advanced Micro Devices, Inc. All rights reserved.
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in
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all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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THE SOFTWARE.
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*/
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#include "unary_common.hh"
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#include "math_log_negative_kernels_rtc.hh"
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/**
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* @addtogroup LogMathFuncs LogMathFuncs
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* @{
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* @ingroup MathTest
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*/
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/********** Unary Functions **********/
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/**
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* Test Description
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* ------------------------
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* - Tests the numerical accuracy of `logf(x)` for all possible inputs and `log(x)` against a
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* table of difficult values, followed by a large number of randomly generated values. The results
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* are compared against reference function `T std::log(T)`. The maximum ulp error
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* for single precision is 2 and for double precision is 1.
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*
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* Test source
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* ------------------------
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* - unit/math/log_funcs.cc
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* Test requirements
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* ------------------------
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* - HIP_VERSION >= 5.2
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*/
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MATH_UNARY_WITHIN_ULP_STL_REF_TEST_DEF(log, 2, 1)
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/**
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* Test Description
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* ------------------------
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* - RTCs kernels that pass argument of invalid type for logf and log.
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*
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* Test source
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* ------------------------
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* - unit/math/log_funcs.cc
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* Test requirements
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* ------------------------
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* - HIP_VERSION >= 5.2
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*/
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TEST_CASE("Unit_Device_log_logf_Negative_RTC") { NegativeTestRTCWrapper<4>(kLog); }
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/**
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* Test Description
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* ------------------------
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* - Tests the numerical accuracy of `log2f(x)` for all possible inputs and `log2(x)` against a
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* table of difficult values, followed by a large number of randomly generated values. The results
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* are compared against reference function `T std::log2(T)`. The maximum ulp error is 1.
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*
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* Test source
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* ------------------------
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* - unit/math/log_funcs.cc
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* Test requirements
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* ------------------------
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* - HIP_VERSION >= 5.2
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*/
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MATH_UNARY_WITHIN_ULP_STL_REF_TEST_DEF(log2, 1, 1)
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/**
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* Test Description
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* ------------------------
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* - RTCs kernels that pass argument of invalid type for log2f and log2.
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*
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* Test source
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* ------------------------
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* - unit/math/log_funcs.cc
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* Test requirements
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* ------------------------
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* - HIP_VERSION >= 5.2
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*/
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TEST_CASE("Unit_Device_log2_log2f_Negative_RTC") { NegativeTestRTCWrapper<4>(kLog2); }
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/**
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* Test Description
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* ------------------------
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* - Tests the numerical accuracy of `log10f(x)` for all possible inputs and `log10(x)` against a
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* table of difficult values, followed by a large number of randomly generated values. The results
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* are compared against reference function `T std::log10(T)`. The maximum ulp error for single
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* precision is 2 and for double precision is 1.
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*
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* Test source
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* ------------------------
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* - unit/math/log_funcs.cc
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* Test requirements
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* ------------------------
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* - HIP_VERSION >= 5.2
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*/
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MATH_UNARY_WITHIN_ULP_STL_REF_TEST_DEF(log10, 2, 1)
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/**
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* Test Description
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* ------------------------
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* - RTCs kernels that pass argument of invalid type for log10f and log10.
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*
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* Test source
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* ------------------------
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* - unit/math/log_funcs.cc
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* Test requirements
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* ------------------------
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* - HIP_VERSION >= 5.2
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*/
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TEST_CASE("Unit_Device_log10_log10f_Negative_RTC") { NegativeTestRTCWrapper<4>(kLog10); }
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/**
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* Test Description
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* ------------------------
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* - Tests the numerical accuracy of `log1pf(x)` for all possible inputs and `log1p(x)` against a
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* table of difficult values, followed by a large number of randomly generated values. The results
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* are compared against reference function `T std::log1p(T)`. The maximum ulp error is 1.
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*
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* Test source
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* ------------------------
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* - unit/math/log_funcs.cc
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* Test requirements
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* ------------------------
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* - HIP_VERSION >= 5.2
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*/
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MATH_UNARY_WITHIN_ULP_STL_REF_TEST_DEF(log1p, 1, 1)
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/**
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* Test Description
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* ------------------------
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* - RTCs kernels that pass argument of invalid type for log1pf and log1p.
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*
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* Test source
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* ------------------------
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* - unit/math/log_funcs.cc
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* Test requirements
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* ------------------------
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* - HIP_VERSION >= 5.2
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*/
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TEST_CASE("Unit_Device_log1p_log1pf_Negative_RTC") { NegativeTestRTCWrapper<4>(kLog1p); }
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/**
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* Test Description
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* ------------------------
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* - Tests the numerical accuracy of `logb(x)` for all possible inputs and `logb(x)` against a
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* table of difficult values, followed by a large number of randomly generated values. The results
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* are compared against reference function `T std::logb(T)`. The maximum ulp error is 0.
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*
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* Test source
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* ------------------------
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* - unit/math/log_funcs.cc
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* Test requirements
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* ------------------------
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* - HIP_VERSION >= 5.2
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*/
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MATH_UNARY_WITHIN_ULP_STL_REF_TEST_DEF(logb, 0, 0)
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/**
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* Test Description
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* ------------------------
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* - RTCs kernels that pass argument of invalid type for logbf and logb.
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*
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* Test source
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* ------------------------
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* - unit/math/log_funcs.cc
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* Test requirements
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* ------------------------
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* - HIP_VERSION >= 5.2
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*/
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TEST_CASE("Unit_Device_logb_logbf_Negative_RTC") { NegativeTestRTCWrapper<4>(kLogb); }
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template <typename T>
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__global__ void ilogb_kernel(int* const ys, const size_t num_xs, T* const xs) {
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const auto tid = cg::this_grid().thread_rank();
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const auto stride = cg::this_grid().size();
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for (size_t i = tid; i < num_xs; i += stride) {
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if constexpr (std::is_same_v<float, T>) {
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ys[i] = ilogbf(xs[i]);
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} else if constexpr (std::is_same_v<double, T>) {
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ys[i] = ilogb(xs[i]);
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}
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}
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}
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template <typename T> int ilogb_ref(T arg) {
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if (arg == 0) {
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return std::numeric_limits<int>::min();
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} else if (std::isnan(arg)) {
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return std::numeric_limits<int>::min();
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} else if (std::isinf(arg)) {
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return std::numeric_limits<int>::max();
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} else {
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return std::ilogb(arg);
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}
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}
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/**
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* Test Description
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* ------------------------
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* - Tests the numerical accuracy of `ilogbf(x)` for all possible inputs. The results are
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* compared against reference function `int std::ilogb(double)`. The maximum ulp error is 0.
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*
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* Test source
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* ------------------------
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* - unit/math/log_funcs.cc
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* Test requirements
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* ------------------------
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* - HIP_VERSION >= 5.2
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*/
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TEST_CASE("Unit_Device_ilogbf_Accuracy_Positive") {
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UnarySinglePrecisionTest(ilogb_kernel<float>, ilogb_ref<double>,
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EqValidatorBuilderFactory<int>());
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}
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/**
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* Test Description
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* ------------------------
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* - Tests the numerical accuracy of `ilogb(x)` against a table of difficult values,
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* followed by a large number of randomly generated values. The results are
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* compared against reference function `int std::ilogb(long double)`. The maximum ulp error is 0.
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*
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* Test source
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* ------------------------
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* - unit/math/log_funcs.cc
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* Test requirements
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* ------------------------
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* - HIP_VERSION >= 5.2
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*/
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TEST_CASE("Unit_Device_ilogb_Accuracy_Positive") {
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UnaryDoublePrecisionTest(ilogb_kernel<double>, ilogb_ref<long double>,
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EqValidatorBuilderFactory<int>());
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}
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/**
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* Test Description
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* ------------------------
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* - RTCs kernels that pass argument of invalid type for ilogbf and ilogb.
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*
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* Test source
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* ------------------------
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* - unit/math/log_funcs.cc
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* Test requirements
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* ------------------------
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* - HIP_VERSION >= 5.2
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*/
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TEST_CASE("Unit_Device_ilogb_ilogbf_Negative_RTC") { NegativeTestRTCWrapper<4>(kIlogb); }
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/**
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* End doxygen group MathTest.
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* @}
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*/
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