dedf08166a
Added 863 files from NVIDIA/cccl sparse checkout: - c2h/ (27 files): Catch2 test helpers — generators, validators, runner - nvbench_helper/ (10 files): Benchmark harness utilities - cmake/ (29 files): CMake presets and build helpers - cudax/ (794 files): Experimental CUDA extensions - AGENTS.md: NVIDIA's official AI agent instructions for CCCL - CMakePresets.json: Standardized build configurations - cccl-version.json: Version tracking Also added CCCL_ASSET_MAP.md mapping all 4295 CCCL files to competition value and PRD items. cccl_upstream now covers 100% of competition-critical assets: - 27 tuning headers (SM80/90/100 benchmark data) - 32 dispatch headers (algorithm implementations) - 60 Thrust examples (correctness verification) - 217 CUB Catch2 tests (regression matrix) - 153 CUB benchmarks (parameter space search) - 18 CUB examples (API verification) - 27 test helpers + benchmark harness - 794 cudax experimental extensions
71 lines
1.8 KiB
Plaintext
71 lines
1.8 KiB
Plaintext
// SPDX-FileCopyrightText: Copyright (c) 2011-2022, NVIDIA CORPORATION. All rights reserved.
|
|
// SPDX-License-Identifier: BSD-3-Clause
|
|
|
|
#include <cuda/std/complex>
|
|
|
|
#include <c2h/generators.h>
|
|
|
|
namespace c2h::detail
|
|
{
|
|
// called once from main to set up the generator state
|
|
void init_generator();
|
|
|
|
// sets the seed and resizes the distribution vector, fills it, and returns a pointer the start of the data
|
|
float* prepare_random_data(seed_t seed, std::size_t num_items);
|
|
|
|
// called once before main returns to clean up the generator state
|
|
void cleanup_generator();
|
|
|
|
template <typename T, bool = ::cuda::is_floating_point_v<T>>
|
|
struct random_to_item_t
|
|
{
|
|
float m_min;
|
|
float m_max;
|
|
|
|
__host__ __device__ random_to_item_t(T min, T max)
|
|
: m_min(static_cast<float>(min))
|
|
, m_max(static_cast<float>(max))
|
|
{}
|
|
|
|
__device__ T operator()(float random_value)
|
|
{
|
|
return static_cast<T>((m_max - m_min) * random_value + m_min);
|
|
}
|
|
};
|
|
|
|
template <typename T>
|
|
struct random_to_item_t<T, true>
|
|
{
|
|
using storage_t = ::cuda::std::_If<(sizeof(T) > 4), double, float>;
|
|
storage_t m_min;
|
|
storage_t m_max;
|
|
|
|
__host__ __device__ random_to_item_t(T min, T max)
|
|
: m_min(static_cast<storage_t>(min))
|
|
, m_max(static_cast<storage_t>(max))
|
|
{}
|
|
|
|
__device__ T operator()(float random_value)
|
|
{
|
|
return static_cast<T>(m_max * random_value + m_min * (1.0f - random_value));
|
|
}
|
|
};
|
|
|
|
template <typename T>
|
|
struct random_to_item_t<cuda::std::complex<T>, false>
|
|
{
|
|
cuda::std::complex<T> m_min;
|
|
cuda::std::complex<T> m_max;
|
|
|
|
__host__ __device__ random_to_item_t(cuda::std::complex<T> min, cuda::std::complex<T> max)
|
|
: m_min(min)
|
|
, m_max(max)
|
|
{}
|
|
|
|
__device__ cuda::std::complex<T> operator()(float random_value) const
|
|
{
|
|
return (m_max - m_min) * cuda::std::complex<T>(random_value) + m_min;
|
|
}
|
|
};
|
|
} // namespace c2h::detail
|