[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

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

View File

@@ -1,95 +0,0 @@
# Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. ALL RIGHTS RESERVED.
#
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
from __future__ import annotations
import pytest
from host_benchmark_cases import (
CALL_CASES,
CASES,
HostBenchmarkCase,
patch_wrapper_to_skip_native_compute,
synchronize,
)
import cuda.compute as cc
pytest.importorskip("pytest_benchmark")
BUILD_TIME_ROUNDS = 10
ONESHOT_ROUNDS = 20
ONESHOT_ITERATIONS = 100
TWOSHOT_ROUNDS = 20
TWOSHOT_ITERATIONS = 1000
def _case_params(cases: list[HostBenchmarkCase]) -> list[pytest.ParameterSet]:
params = []
for case in cases:
marks = []
if case.skip_reason is not None:
marks.append(pytest.mark.skip(reason=case.skip_reason))
params.append(pytest.param(case, id=case.name, marks=marks))
return params
@pytest.mark.benchmark(group="cuda.compute.host.build_time")
@pytest.mark.parametrize("case", _case_params(CASES))
def test_build_time(benchmark, case: HostBenchmarkCase):
state = case.setup()
synchronize()
def setup() -> None:
cc.clear_all_caches()
def build():
return case.make_wrapper(state)
benchmark.pedantic(
build,
setup=setup,
rounds=BUILD_TIME_ROUNDS,
iterations=1,
warmup_rounds=0,
)
@pytest.mark.benchmark(group="cuda.compute.host.oneshot_cached")
@pytest.mark.parametrize("case", _case_params(CALL_CASES))
def test_oneshot_cached_host_overhead(benchmark, case: HostBenchmarkCase):
cc.clear_all_caches()
state = case.setup()
wrapper = case.make_wrapper(state)
patch_wrapper_to_skip_native_compute(wrapper, case.noop_return_kind)
synchronize()
def call() -> None:
case.oneshot(state)
benchmark.pedantic(
call,
rounds=ONESHOT_ROUNDS,
iterations=ONESHOT_ITERATIONS,
warmup_rounds=0,
)
@pytest.mark.benchmark(group="cuda.compute.host.twoshot_call")
@pytest.mark.parametrize("case", _case_params(CALL_CASES))
def test_twoshot_call_host_overhead(benchmark, case: HostBenchmarkCase):
cc.clear_all_caches()
state = case.setup()
wrapper = case.make_wrapper(state)
patch_wrapper_to_skip_native_compute(wrapper, case.noop_return_kind)
synchronize()
def call() -> None:
case.twoshot(state, wrapper)
benchmark.pedantic(
call,
rounds=TWOSHOT_ROUNDS,
iterations=TWOSHOT_ITERATIONS,
warmup_rounds=0,
)