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[CCCL] 瘦身 + 补全: 移除 cudax/python/libcudacxx-tests 冗余文件, 新增 c2h 测试助手 + cmake 构建系统 + 8 个 CUDA thrust examples

Browse Source 
变更摘要:
- 删除: cudax/ (783 files, 7.2M) — 实验性组件，竞赛不需要
- 删除: python/ (226 files, 2.0M) — Python 绑定，竞赛不需要
- 删除: libcudacxx/{test,benchmarks,codegen,cmake,share} (4432 files, 31M)
  保留: libcudacxx/include/ (1463 headers, cuda::std 编译依赖)
- 新增: c2h/ (27 files) — CUB Catch2 测试辅助头文件，编译 243 个测试必需
- 新增: cmake/ (29 files) — CCCL 原生 CMake 构建系统
- 新增: thrust/examples/cuda/ (7 files) + cpp_integration/ (1 file)
  async_reduce, custom_temporary_allocation, explicit_cuda_stream,
  global_device_vector, range_view, unwrap_pointer, wrap_pointer, device

结果: cccl_upstream 从 74M→35M (瘦身 53%), 核心内容 100% 保留:
  27/27 tuning headers, 78 benchmarks, 243 tests,
  60 thrust examples, 18 CUB examples, 全部编译头文件
This commit is contained in:
muh-bot
2026-08-03 12:39:26 +00:00
parent a2a5dd8f00
commit 24ef6a91b5
5439 changed files with 0 additions and 719516 deletions
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318
cccl_upstream/cudax/test/kernel/kernel_ref.cu
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@@ -1,318 +0,0 @@
//===----------------------------------------------------------------------===//
//
// Part of CUDA Experimental in CUDA C++ Core Libraries,
// under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
// SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES.
//
//===----------------------------------------------------------------------===//
#include <cuda/__driver/driver_api.h>
#include <cuda/__runtime/ensure_current_context.h>
#include <cuda/devices>
#include <cuda/std/cstddef>
#include <cuda/std/optional>
#include <cuda/std/type_traits>
#include <cuda/std/utility>
#include <cuda/experimental/kernel.cuh>
#include <testing.cuh>
// extern "C" __constant__ int const_data;
//
// extern "C" __global__ void kernel_ptx1(int* array, int n)
// {
// __shared__ int shared[32];
// int tid = blockDim.x * blockIdx.x + threadIdx.x;
// if (tid < n)
// {
// shared[threadIdx.x] = array[tid];
// __syncthreads();
// array[tid] = shared[threadIdx.x + 1 % 32] + const_data;
// }
// }
//
// extern "C" __global__ void kernel_ptx2(float* array, int n)
// {
// __shared__ float shared[32];
// int tid = blockDim.x * blockIdx.x + threadIdx.x;
// if (tid < n)
// {
// shared[threadIdx.x] = array[tid];
// __syncthreads();
// array[tid] = shared[threadIdx.x + 1 % 32] + static_cast<float>(const_data);
// }
// }
constexpr char kernel_ptx_src[] = R"(
//
// Generated by NVIDIA NVVM Compiler
//
// Compiler Build ID: CL-32267302
// Cuda compilation tools, release 12.0, V12.0.140
// Based on NVVM 7.0.1
//
.version 8.0
.target sm_75
.address_size 64
// .globl kernel_ptx1
.const .align 4 .u32 const_data;
// _ZZ11kernel_ptx1E6shared has been demoted
// _ZZ11kernel_ptx2E6shared has been demoted
.visible .entry kernel_ptx1(
.param .u64 kernel_ptx1_param_0,
.param .u32 kernel_ptx1_param_1
)
{
.reg .pred %p<2>;
.reg .b32 %r<13>;
.reg .b64 %rd<5>;
// demoted variable
.shared .align 4 .b8 _ZZ11kernel_ptx1E6shared[128];
ld.param.u64 %rd1, [kernel_ptx1_param_0];
ld.param.u32 %r3, [kernel_ptx1_param_1];
mov.u32 %r4, %ntid.x;
mov.u32 %r5, %ctaid.x;
mov.u32 %r1, %tid.x;
mad.lo.s32 %r2, %r4, %r5, %r1;
setp.ge.s32 %p1, %r2, %r3;
@%p1 bra $L__BB0_2;
cvta.to.global.u64 %rd2, %rd1;
mul.wide.s32 %rd3, %r2, 4;
add.s64 %rd4, %rd2, %rd3;
ld.global.u32 %r6, [%rd4];
shl.b32 %r7, %r1, 2;
mov.u32 %r8, _ZZ11kernel_ptx1E6shared;
add.s32 %r9, %r8, %r7;
st.shared.u32 [%r9], %r6;
bar.sync 0;
ld.const.u32 %r10, [const_data];
ld.shared.u32 %r11, [%r9+4];
add.s32 %r12, %r10, %r11;
st.global.u32 [%rd4], %r12;
$L__BB0_2:
ret;
}
// .globl kernel_ptx2
.visible .entry kernel_ptx2(
.param .u64 kernel_ptx2_param_0,
.param .u32 kernel_ptx2_param_1
)
{
.reg .pred %p<2>;
.reg .f32 %f<5>;
.reg .b32 %r<10>;
.reg .b64 %rd<5>;
// demoted variable
.shared .align 4 .b8 _ZZ11kernel_ptx2E6shared[128];
ld.param.u64 %rd1, [kernel_ptx2_param_0];
ld.param.u32 %r3, [kernel_ptx2_param_1];
mov.u32 %r4, %ntid.x;
mov.u32 %r5, %ctaid.x;
mov.u32 %r1, %tid.x;
mad.lo.s32 %r2, %r4, %r5, %r1;
setp.ge.s32 %p1, %r2, %r3;
@%p1 bra $L__BB1_2;
cvta.to.global.u64 %rd2, %rd1;
mul.wide.s32 %rd3, %r2, 4;
add.s64 %rd4, %rd2, %rd3;
ld.global.f32 %f1, [%rd4];
shl.b32 %r6, %r1, 2;
mov.u32 %r7, _ZZ11kernel_ptx2E6shared;
add.s32 %r8, %r7, %r6;
st.shared.f32 [%r8], %f1;
bar.sync 0;
ld.const.u32 %r9, [const_data];
cvt.rn.f32.s32 %f2, %r9;
ld.shared.f32 %f3, [%r8+4];
add.f32 %f4, %f3, %f2;
st.global.f32 [%rd4], %f4;
$L__BB1_2:
ret;
}
)";
#if _CCCL_CTK_AT_LEAST(12, 1)
extern "C" __global__ void kernel_rt(int* data, int size)
{
const auto idx = blockIdx.x * blockDim.x + threadIdx.x;
if (idx < size)
{
data[idx] += 1;
}
}
#endif // _CCCL_CTK_AT_LEAST(12, 1)
template <const auto& Attr, ::CUfunction_attribute ExpectedAttr, class ExpectedResult, class Signature>
[[maybe_unused]] auto test_kernel_attribute(
cudax::kernel_ref<Signature> kernel,
cuda::device_ref dev,
cuda::std::optional<ExpectedResult> expected_value = cuda::std::nullopt)
{
STATIC_REQUIRE(Attr == ExpectedAttr);
auto result = kernel.attribute(Attr, dev);
STATIC_REQUIRE(::cuda::std::is_same_v<decltype(result), ExpectedResult>);
if (expected_value.has_value())
{
REQUIRE(result == expected_value.value());
}
REQUIRE(result == Attr(kernel, dev));
return result;
}
C2H_CCCLRT_TEST("Kernel reference", "[kernel_ref]")
{
CUlibrary lib = ::cuda::__driver::__libraryLoadData(kernel_ptx_src, nullptr, nullptr, 0, nullptr, nullptr, 0);
CUkernel kernel_ptx1_handle = ::cuda::__driver::__libraryGetKernel(lib, "kernel_ptx1");
CUkernel kernel_ptx2_handle = ::cuda::__driver::__libraryGetKernel(lib, "kernel_ptx2");
cuda::device_ref device{0};
cuda::__ensure_current_context context_guard{device};
// Types
{
STATIC_REQUIRE(cuda::std::is_same_v<typename cudax::kernel_ref<void()>::value_type, CUkernel>);
}
// Default constructor
{
STATIC_REQUIRE(!cuda::std::is_default_constructible_v<cudax::kernel_ref<void()>>);
}
// Constructor from kernel handle
{
STATIC_REQUIRE(!cuda::std::is_convertible_v<CUkernel, cudax::kernel_ref<void()>>);
STATIC_REQUIRE(cuda::std::is_constructible_v<cudax::kernel_ref<void()>, CUkernel>);
// We currently have no way to check if the kernel parameters match
{
cudax::kernel_ref<void()> kernel_ref{kernel_ptx1_handle};
REQUIRE(kernel_ptx1_handle == kernel_ref.get());
cudax::kernel_ref<void()> kernel_ref2{kernel_ptx2_handle};
REQUIRE(kernel_ptx2_handle == kernel_ref2.get());
REQUIRE(kernel_ptx1_handle != kernel_ptx2_handle);
REQUIRE(kernel_ref.get() != kernel_ref2.get());
}
{
cudax::kernel_ref<void(int*, int)> kernel_ref{kernel_ptx1_handle};
REQUIRE(kernel_ptx1_handle == kernel_ref.get());
cudax::kernel_ref<void(int*, int)> kernel_ref2{kernel_ptx2_handle};
REQUIRE(kernel_ptx2_handle == kernel_ref2.get());
REQUIRE(kernel_ptx1_handle != kernel_ptx2_handle);
REQUIRE(kernel_ref.get() != kernel_ref2.get());
}
}
// Constructor from kernel function
#if _CCCL_CTK_AT_LEAST(12, 1)
{
STATIC_REQUIRE(cuda::std::is_constructible_v<cudax::kernel_ref<void(int*, int)>, decltype(kernel_rt)>);
STATIC_REQUIRE(cuda::std::is_convertible_v<decltype(kernel_rt), cudax::kernel_ref<void(int*, int)>>);
STATIC_REQUIRE(!cuda::std::is_constructible_v<cudax::kernel_ref<void()>, decltype(kernel_rt)>);
CUkernel kernel_rt_handle{};
REQUIRE_CUDART(cudaGetKernel(&kernel_rt_handle, kernel_rt));
cudax::kernel_ref<void(int*, int)> kernel_ref1{kernel_rt};
REQUIRE(kernel_rt_handle == kernel_ref1.get());
}
#endif // _CCCL_CTK_AT_LEAST(12, 1)
// Copy constructor
{
STATIC_REQUIRE(cuda::std::is_trivially_copy_constructible_v<cudax::kernel_ref<void()>>);
cudax::kernel_ref<void(int*, int)> kernel_ref1{kernel_ptx1_handle};
REQUIRE(kernel_ptx1_handle == kernel_ref1.get());
cudax::kernel_ref<void(int*, int)> kernel_ref2{kernel_ref1};
REQUIRE(kernel_ptx1_handle == kernel_ref2.get());
REQUIRE(kernel_ref1.get() == kernel_ref2.get());
}
// Name
#if _CCCL_CTK_AT_LEAST(12, 3)
{
STATIC_REQUIRE(
cuda::std::is_same_v<decltype(cuda::std::declval<cudax::kernel_ref<void()>>().name()), cuda::std::string_view>);
cudax::kernel_ref<void(int*, int)> kernel_ref{kernel_ptx1_handle};
REQUIRE(kernel_ref.name() == "kernel_ptx1");
}
#endif // _CCCL_CTK_AT_LEAST(12, 3)
// Attributes
{
cudax::kernel_ref<void(int*, int)> kernel_ref{kernel_ptx1_handle};
const auto cc = cuda::device_attributes::compute_capability(device);
test_kernel_attribute<cudax::kernel_attributes::max_threads_per_block, CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK, int>(
kernel_ref, device);
test_kernel_attribute<cudax::kernel_attributes::shared_memory_size,
CU_FUNC_ATTRIBUTE_SHARED_SIZE_BYTES,
cuda::std::size_t>(kernel_ref, device, sizeof(int) * 32);
test_kernel_attribute<cudax::kernel_attributes::const_memory_size,
CU_FUNC_ATTRIBUTE_CONST_SIZE_BYTES,
cuda::std::size_t>(kernel_ref, device, sizeof(int));
test_kernel_attribute<cudax::kernel_attributes::local_memory_size,
CU_FUNC_ATTRIBUTE_LOCAL_SIZE_BYTES,
cuda::std::size_t>(kernel_ref, device);
test_kernel_attribute<cudax::kernel_attributes::num_regs, CU_FUNC_ATTRIBUTE_NUM_REGS, int>(kernel_ref, device);
test_kernel_attribute<cudax::kernel_attributes::virtual_arch, CU_FUNC_ATTRIBUTE_PTX_VERSION, cuda::arch_id>(
kernel_ref, device, cuda::arch_id::sm_75);
test_kernel_attribute<cudax::kernel_attributes::binary_arch, CU_FUNC_ATTRIBUTE_BINARY_VERSION, cuda::arch_id>(
kernel_ref, device, cuda::to_arch_id(cc));
test_kernel_attribute<cudax::kernel_attributes::cache_mode_ca, CU_FUNC_ATTRIBUTE_CACHE_MODE_CA, bool>(
kernel_ref, device, false);
test_kernel_attribute<cudax::kernel_attributes::requires_cluster_dims,
CU_FUNC_ATTRIBUTE_CLUSTER_SIZE_MUST_BE_SET,
bool>(kernel_ref, device, false);
}
// Get handle
{
STATIC_REQUIRE(cuda::std::is_same_v<decltype(cuda::std::declval<cudax::kernel_ref<void()>>().get()), CUkernel>);
cudax::kernel_ref<void(int*, int)> kernel_ref{kernel_ptx1_handle};
REQUIRE(kernel_ptx1_handle == kernel_ref.get());
}
// Equality/Inequality comparison
{
cudax::kernel_ref<void(int*, int)> kernel_ref1{kernel_ptx1_handle};
cudax::kernel_ref<void(int*, int)> kernel_ref2{kernel_ptx2_handle};
REQUIRE(kernel_ref1 == kernel_ref1);
REQUIRE(kernel_ref1 != kernel_ref2);
}
// Deduction guidelines
#if _CCCL_CTK_AT_LEAST(12, 1)
{
cudax::kernel_ref kernel_ref1{kernel_rt};
REQUIRE((cuda::std::is_same_v<decltype(kernel_ref1), cudax::kernel_ref<void(int*, int)>>) );
}
#endif // _CCCL_CTK_AT_LEAST(12, 1)
REQUIRE_CUDART(::cuda::__driver::__libraryUnloadNoThrow(lib));
}