57bc68acb1
Change-Id: I2944a63ddc2eec8dc1403d9790ffffbaec343385
244 строки
12 KiB
C++
244 строки
12 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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#pragma once
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#include "math_common.hh"
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#include "math_special_values.hh"
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#include <hip/hip_cooperative_groups.h>
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namespace cg = cooperative_groups;
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#define MATH_UNARY_KERNEL_DEF(func_name) \
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template <typename T, typename RT = T> \
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__global__ void func_name##_kernel(RT* 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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\
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for (auto 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] = func_name##f(xs[i]); \
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} else if constexpr (std::is_same_v<double, T>) { \
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ys[i] = func_name(xs[i]); \
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} \
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} \
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}
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template <typename T, typename RT, typename RTArg, typename ValidatorBuilder>
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void UnaryHalfPrecisionBruteForceTest(kernel_sig<T, Float16> kernel, ref_sig<RT, RTArg> ref_func,
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const ValidatorBuilder& validator_builder) {
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const auto [grid_size, block_size] = GetOccupancyMaxPotentialBlockSize(kernel);
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uint64_t stop = std::numeric_limits<uint16_t>::max() + 1ul;
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const auto max_batch_size =
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std::min(GetMaxAllowedDeviceMemoryUsage() / (sizeof(Float16) + sizeof(T)), stop);
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LinearAllocGuard<Float16> values{LinearAllocs::hipHostMalloc, max_batch_size * sizeof(Float16)};
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MathTest math_test(kernel, max_batch_size);
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auto batch_size = max_batch_size;
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const auto num_threads = thread_pool.thread_count();
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for (uint64_t v = 0u; v < stop;) {
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batch_size = std::min<uint64_t>(max_batch_size, stop - v);
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const auto min_sub_batch_size = batch_size / num_threads;
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const auto tail = batch_size % num_threads;
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auto base_idx = 0u;
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for (auto i = 0u; i < num_threads; ++i) {
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const auto sub_batch_size = min_sub_batch_size + (i < tail);
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thread_pool.Post([=, &values] {
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auto t = v;
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uint16_t val;
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for (auto j = 0u; j < sub_batch_size; ++j) {
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val = static_cast<uint16_t>(t++);
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values.ptr()[base_idx + j] = *reinterpret_cast<Float16*>(&val);
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}
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});
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v += sub_batch_size;
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base_idx += sub_batch_size;
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}
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thread_pool.Wait();
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math_test.Run(validator_builder, grid_size, block_size, ref_func, batch_size, values.ptr());
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}
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}
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template <typename T, typename RT, typename RTArg, typename ValidatorBuilder>
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void UnarySinglePrecisionBruteForceTest(kernel_sig<T, float> kernel, ref_sig<RT, RTArg> ref_func,
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const ValidatorBuilder& validator_builder) {
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const auto [grid_size, block_size] = GetOccupancyMaxPotentialBlockSize(kernel);
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uint64_t stop = std::numeric_limits<uint32_t>::max() + 1ul;
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const auto max_batch_size =
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std::min(GetMaxAllowedDeviceMemoryUsage() / (sizeof(float) + sizeof(T)), stop);
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LinearAllocGuard<float> values{LinearAllocs::hipHostMalloc, max_batch_size * sizeof(float)};
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MathTest math_test(kernel, max_batch_size);
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auto batch_size = max_batch_size;
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const auto num_threads = thread_pool.thread_count();
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for (uint64_t v = 0u; v < stop;) {
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batch_size = std::min<uint64_t>(max_batch_size, stop - v);
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const auto min_sub_batch_size = batch_size / num_threads;
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const auto tail = batch_size % num_threads;
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auto base_idx = 0u;
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for (auto i = 0u; i < num_threads; ++i) {
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const auto sub_batch_size = min_sub_batch_size + (i < tail);
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thread_pool.Post([=, &values] {
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auto t = v;
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uint32_t val;
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for (auto j = 0u; j < sub_batch_size; ++j) {
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val = static_cast<uint32_t>(t++);
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values.ptr()[base_idx + j] = *reinterpret_cast<float*>(&val);
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}
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});
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v += sub_batch_size;
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base_idx += sub_batch_size;
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}
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thread_pool.Wait();
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math_test.Run(validator_builder, grid_size, block_size, ref_func, batch_size, values.ptr());
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}
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}
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template <typename T, typename RT, typename RTArg, typename ValidatorBuilder>
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void UnarySinglePrecisionRangeTest(kernel_sig<T, float> kernel, ref_sig<RT, RTArg> ref_func,
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const ValidatorBuilder& validator_builder, const float a,
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const float b) {
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const auto [grid_size, block_size] = GetOccupancyMaxPotentialBlockSize(kernel);
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const auto max_batch_size = GetMaxAllowedDeviceMemoryUsage() / (sizeof(float) + sizeof(T));
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LinearAllocGuard<float> values{LinearAllocs::hipHostMalloc, max_batch_size * sizeof(float)};
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MathTest math_test(kernel, max_batch_size);
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size_t inserted = 0u;
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for (float v = a; v != b; v = std::nextafter(v, b)) {
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values.ptr()[inserted++] = v;
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if (inserted < max_batch_size) continue;
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math_test.Run(validator_builder, grid_size, block_size, ref_func, inserted, values.ptr());
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inserted = 0u;
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}
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}
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template <typename T, typename RT, typename RTArg, typename ValidatorBuilder>
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void UnaryDoublePrecisionBruteForceTest(kernel_sig<T, double> kernel, ref_sig<RT, RTArg> ref_func,
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const ValidatorBuilder& validator_builder,
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const double a = std::numeric_limits<double>::lowest(),
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const double b = std::numeric_limits<double>::max()) {
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const auto [grid_size, block_size] = GetOccupancyMaxPotentialBlockSize(kernel);
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const uint64_t num_iterations = GetTestIterationCount();
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const auto max_batch_size =
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std::min(GetMaxAllowedDeviceMemoryUsage() / (sizeof(double) + sizeof(T)), num_iterations);
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LinearAllocGuard<double> values{LinearAllocs::hipHostMalloc, max_batch_size * sizeof(double)};
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MathTest math_test(kernel, max_batch_size);
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auto batch_size = max_batch_size;
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const auto num_threads = thread_pool.thread_count();
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for (uint64_t i = 0ul; i < num_iterations; i += batch_size) {
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batch_size = std::min<uint64_t>(max_batch_size, num_iterations - i);
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const auto min_sub_batch_size = batch_size / num_threads;
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const auto tail = batch_size % num_threads;
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auto base_idx = 0u;
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for (auto i = 0u; i < num_threads; ++i) {
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const auto sub_batch_size = min_sub_batch_size + (i < tail);
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thread_pool.Post([=, &values] {
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const auto generator = [=] {
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static thread_local std::mt19937 rng(std::random_device{}());
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std::uniform_real_distribution<long double> unif_dist(a, b);
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return static_cast<double>(unif_dist(rng));
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};
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std::generate(values.ptr() + base_idx, values.ptr() + base_idx + sub_batch_size, generator);
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});
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base_idx += sub_batch_size;
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}
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thread_pool.Wait();
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math_test.Run(validator_builder, grid_size, block_size, ref_func, batch_size, values.ptr());
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}
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}
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template <typename T, typename RT, typename RTArg, typename ValidatorBuilder>
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void UnaryDoublePrecisionSpecialValuesTest(kernel_sig<T, double> kernel,
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ref_sig<RT, RTArg> ref_func,
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const ValidatorBuilder& validator_builder) {
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const auto [grid_size, block_size] = GetOccupancyMaxPotentialBlockSize(kernel);
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const auto values = std::get<SpecialVals<double>>(kSpecialValRegistry);
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MathTest math_test(kernel, values.size);
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math_test.template Run<false>(validator_builder, grid_size, block_size, ref_func, values.size,
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values.data);
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}
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template <typename T, typename RT, typename RTArg, typename ValidatorBuilder>
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void UnaryHalfPrecisionTest(kernel_sig<T, Float16> kernel, ref_sig<RT, RTArg> ref,
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const ValidatorBuilder& validator_builder) {
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SECTION("Brute force") { UnaryHalfPrecisionBruteForceTest(kernel, ref, validator_builder); }
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}
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template <typename T, typename RT, typename RTArg, typename ValidatorBuilder>
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void UnarySinglePrecisionTest(kernel_sig<T, float> kernel, ref_sig<RT, RTArg> ref,
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const ValidatorBuilder& validator_builder) {
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SECTION("Brute force") { UnarySinglePrecisionBruteForceTest(kernel, ref, validator_builder); }
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}
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template <typename T, typename RT, typename RTArg, typename ValidatorBuilder>
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void UnaryDoublePrecisionTest(kernel_sig<T, double> kernel, ref_sig<RT, RTArg> ref,
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const ValidatorBuilder& validator_builder) {
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SECTION("Special values") {
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UnaryDoublePrecisionSpecialValuesTest(kernel, ref, validator_builder);
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}
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SECTION("Brute force") { UnaryDoublePrecisionBruteForceTest(kernel, ref, validator_builder); }
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}
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#define MATH_UNARY_WITHIN_ULP_TEST_DEF(kern_name, ref_func, sp_ulp, dp_ulp) \
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MATH_UNARY_KERNEL_DEF(kern_name) \
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\
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TEST_CASE("Unit_Device_" #kern_name "_Accuracy_Positive - float") { \
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double (*ref)(double) = ref_func; \
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UnarySinglePrecisionTest(kern_name##_kernel<float>, ref, \
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ULPValidatorBuilderFactory<float>(sp_ulp)); \
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} \
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\
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TEST_CASE("Unit_Device_" #kern_name "_Accuracy_Positive - double") { \
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long double (*ref)(long double) = ref_func; \
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UnaryDoublePrecisionTest(kern_name##_kernel<double>, ref, \
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ULPValidatorBuilderFactory<double>(dp_ulp)); \
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}
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#define MATH_UNARY_WITHIN_ULP_STL_REF_TEST_DEF(func_name, sp_ulp, dp_ulp) \
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MATH_UNARY_WITHIN_ULP_TEST_DEF(func_name, std::func_name, sp_ulp, dp_ulp)
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