CCCL (CUDA C++ Core Libraries) provides: - CUB: device/block/warp-level GPU primitives (reduce, scan, sort, topk) - Thrust: high-level parallel algorithms (transform_reduce, sort, scan) - libcudacxx: CUDA C++ standard library (atomics, barriers, memory) - cudax: experimental features (memory resources, allocators) - Tuning policies: per-SM hardware-specific algorithm parameters Competition optimization vectors mapped to CCCL: - Output TPS (83% weight): warp_reduce, block_reduce, device_topk - Input TPS (14% weight): device_scan, block_load, prefetch - Cache TPS (3% weight): prefix caching strategy patterns - Memory (0.9 util): pooled/cached/buddy allocators Source: https://github.com/NVIDIA/cccl (shallow clone, HEAD only) License: Apache-2.0
320 lines
9.8 KiB
Plaintext
320 lines
9.8 KiB
Plaintext
//===----------------------------------------------------------------------===//
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//
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// Part of CUDA Experimental in CUDA C++ Core Libraries,
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// under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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// SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION.
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//
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//===----------------------------------------------------------------------===//
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#include <cstdio>
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#include <cstring>
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#include <cccl/c/scan.h>
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#include <hostjit/codegen/cub_call.hpp>
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#include <util/build_utils.h>
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using namespace hostjit::codegen;
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// Variants with an init value (value or future): 8 args
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// (temp, temp_bytes, d_in, d_out, op_state, init_ptr, num_items, stream)
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using scan_init_fn_t = int (*)(void*, size_t*, void*, void*, void*, void*, unsigned long long, void*);
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// InclusiveScan without init: 7 args
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// (temp, temp_bytes, d_in, d_out, op_state, num_items, stream)
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using scan_no_init_fn_t = int (*)(void*, size_t*, void*, void*, void*, unsigned long long, void*);
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// ---------------------------------------------------------------------------
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// Build
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// ---------------------------------------------------------------------------
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CUresult cccl_device_scan_build_ex(
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cccl_device_scan_build_result_t* build_ptr,
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cccl_iterator_t d_in,
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cccl_iterator_t d_out,
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cccl_op_t op,
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cccl_type_info init_type,
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bool force_inclusive,
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cccl_init_kind_t init_kind,
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int cc_major,
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int cc_minor,
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const char* cub_path,
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const char* thrust_path,
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const char* libcudacxx_path,
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const char* ctk_path,
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cccl_build_config* config)
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try
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{
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if (build_ptr == nullptr)
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{
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return CUDA_ERROR_INVALID_VALUE;
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}
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std::string cccl_include_str = cccl::detail::parse_cccl_include_path(libcudacxx_path);
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std::string ctk_root_str = cccl::detail::parse_ctk_root(ctk_path);
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const char* cccl_include_path = cccl_include_str.empty() ? nullptr : cccl_include_str.c_str();
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const char* ctk_root = ctk_root_str.empty() ? nullptr : ctk_root_str.c_str();
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cccl::detail::MergedBuildConfig merged(config, cub_path, thrust_path);
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CubCallResult result = [&] {
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auto base = CubCall::from("cub/device/device_scan.cuh").name("cccl_jit_scan");
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if (init_kind == CCCL_NO_INIT)
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{
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// cub::DeviceScan::InclusiveScan(temp, temp_bytes, in, out, op, num_items, stream)
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return base.run("cub::DeviceScan::InclusiveScan")
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.with(temp_storage, temp_bytes, in(d_in), out(d_out), op, num_items, stream)
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.compile(cc_major, cc_minor, merged.get(), ctk_root, cccl_include_path);
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}
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else if (init_kind == CCCL_VALUE_INIT)
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{
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// ExclusiveScan or InclusiveScanInit with a value init (memcpy'd from void*)
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const char* fn = force_inclusive ? "cub::DeviceScan::InclusiveScanInit" : "cub::DeviceScan::ExclusiveScan";
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cccl_value_t init_val{init_type, nullptr}; // state=nullptr; passed at run time
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return base.run(fn)
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.with(temp_storage, temp_bytes, in(d_in), out(d_out), op, init_val, num_items, stream)
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.compile(cc_major, cc_minor, merged.get(), ctk_root, cccl_include_path);
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}
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else // CCCL_FUTURE_VALUE_INIT
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{
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// ExclusiveScan or InclusiveScanInit with cub::FutureValue<accum_t>(ptr)
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const char* fn = force_inclusive ? "cub::DeviceScan::InclusiveScanInit" : "cub::DeviceScan::ExclusiveScan";
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return base.run(fn)
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.with(temp_storage, temp_bytes, in(d_in), out(d_out), op, future_val(init_type), num_items, stream)
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.compile(cc_major, cc_minor, merged.get(), ctk_root, cccl_include_path);
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}
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}();
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build_ptr->cc = cc_major * 10 + cc_minor;
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cccl::detail::copy_cubin(result.cubin, build_ptr->payload, build_ptr->payload_size);
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build_ptr->jit_compiler = result.compiler;
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build_ptr->scan_fn = result.fn_ptr;
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build_ptr->force_inclusive = force_inclusive;
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build_ptr->init_kind = init_kind;
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return CUDA_SUCCESS;
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}
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catch (const std::exception& exc)
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{
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fprintf(stderr, "\nEXCEPTION in cccl_device_scan_build_ex(): %s\n", exc.what());
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return CUDA_ERROR_UNKNOWN;
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}
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CUresult cccl_device_scan_build(
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cccl_device_scan_build_result_t* build_ptr,
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cccl_iterator_t d_in,
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cccl_iterator_t d_out,
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cccl_op_t op,
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cccl_type_info init_type,
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bool force_inclusive,
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cccl_init_kind_t init_kind,
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int cc_major,
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int cc_minor,
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const char* cub_path,
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const char* thrust_path,
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const char* libcudacxx_path,
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const char* ctk_path)
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{
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return cccl_device_scan_build_ex(
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build_ptr,
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d_in,
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d_out,
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op,
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init_type,
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force_inclusive,
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init_kind,
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cc_major,
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cc_minor,
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cub_path,
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thrust_path,
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libcudacxx_path,
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ctk_path,
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nullptr);
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}
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// ---------------------------------------------------------------------------
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// Run helpers
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// ---------------------------------------------------------------------------
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static CUresult call_scan_init(
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cccl_device_scan_build_result_t build,
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void* d_temp_storage,
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size_t* temp_storage_bytes,
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cccl_iterator_t d_in,
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cccl_iterator_t d_out,
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uint64_t num_items,
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cccl_op_t op,
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void* init_ptr, // value state or device pointer for FutureValue
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CUstream stream)
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{
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if (!build.scan_fn)
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{
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return CUDA_ERROR_INVALID_VALUE;
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}
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// Guard against ABI mismatch: this path uses the 8-arg scan_init_fn_t
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// (with init pointer). Calling it with a build result compiled for
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// CCCL_NO_INIT (7-arg scan_no_init_fn_t) would be undefined behaviour.
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if (build.init_kind == CCCL_NO_INIT)
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{
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return CUDA_ERROR_INVALID_VALUE;
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}
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auto fn = reinterpret_cast<scan_init_fn_t>(build.scan_fn);
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const int status = fn(
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d_temp_storage,
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temp_storage_bytes,
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d_in.state,
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d_out.state,
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op.state,
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init_ptr,
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(unsigned long long) num_items,
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reinterpret_cast<void*>(stream));
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return (status == 0) ? CUDA_SUCCESS : CUDA_ERROR_UNKNOWN;
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}
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// ---------------------------------------------------------------------------
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// Run
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// ---------------------------------------------------------------------------
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CUresult cccl_device_exclusive_scan(
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cccl_device_scan_build_result_t build,
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void* d_temp_storage,
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size_t* temp_storage_bytes,
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cccl_iterator_t d_in,
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cccl_iterator_t d_out,
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uint64_t num_items,
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cccl_op_t op,
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cccl_value_t init,
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CUstream stream)
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try
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{
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return call_scan_init(build, d_temp_storage, temp_storage_bytes, d_in, d_out, num_items, op, init.state, stream);
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}
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catch (const std::exception& exc)
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{
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fprintf(stderr, "\nEXCEPTION in cccl_device_exclusive_scan(): %s\n", exc.what());
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return CUDA_ERROR_UNKNOWN;
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}
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CUresult cccl_device_inclusive_scan(
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cccl_device_scan_build_result_t build,
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void* d_temp_storage,
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size_t* temp_storage_bytes,
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cccl_iterator_t d_in,
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cccl_iterator_t d_out,
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uint64_t num_items,
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cccl_op_t op,
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cccl_value_t init,
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CUstream stream)
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try
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{
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return call_scan_init(build, d_temp_storage, temp_storage_bytes, d_in, d_out, num_items, op, init.state, stream);
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}
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catch (const std::exception& exc)
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{
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fprintf(stderr, "\nEXCEPTION in cccl_device_inclusive_scan(): %s\n", exc.what());
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return CUDA_ERROR_UNKNOWN;
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}
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CUresult cccl_device_exclusive_scan_future_value(
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cccl_device_scan_build_result_t build,
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void* d_temp_storage,
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size_t* temp_storage_bytes,
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cccl_iterator_t d_in,
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cccl_iterator_t d_out,
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uint64_t num_items,
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cccl_op_t op,
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cccl_iterator_t init,
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CUstream stream)
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try
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{
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// init.state is the device pointer — passed as void* and wrapped in
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// FutureValue<accum_t> inside the compiled CUDA function.
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return call_scan_init(build, d_temp_storage, temp_storage_bytes, d_in, d_out, num_items, op, init.state, stream);
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}
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catch (const std::exception& exc)
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{
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fprintf(stderr, "\nEXCEPTION in cccl_device_exclusive_scan_future_value(): %s\n", exc.what());
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return CUDA_ERROR_UNKNOWN;
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}
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CUresult cccl_device_inclusive_scan_future_value(
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cccl_device_scan_build_result_t build,
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void* d_temp_storage,
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size_t* temp_storage_bytes,
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cccl_iterator_t d_in,
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cccl_iterator_t d_out,
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uint64_t num_items,
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cccl_op_t op,
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cccl_iterator_t init,
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CUstream stream)
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try
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{
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return call_scan_init(build, d_temp_storage, temp_storage_bytes, d_in, d_out, num_items, op, init.state, stream);
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}
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catch (const std::exception& exc)
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{
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fprintf(stderr, "\nEXCEPTION in cccl_device_inclusive_scan_future_value(): %s\n", exc.what());
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return CUDA_ERROR_UNKNOWN;
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}
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CUresult cccl_device_inclusive_scan_no_init(
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cccl_device_scan_build_result_t build,
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void* d_temp_storage,
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size_t* temp_storage_bytes,
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cccl_iterator_t d_in,
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cccl_iterator_t d_out,
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uint64_t num_items,
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cccl_op_t op,
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CUstream stream)
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try
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{
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if (!build.scan_fn)
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{
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return CUDA_ERROR_INVALID_VALUE;
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}
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// Guard against ABI mismatch: this path uses the 7-arg scan_no_init_fn_t.
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// A build result compiled with an init value stores an 8-arg scan_init_fn_t;
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// casting it here would be undefined behaviour.
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if (build.init_kind != CCCL_NO_INIT)
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{
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return CUDA_ERROR_INVALID_VALUE;
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}
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auto fn = reinterpret_cast<scan_no_init_fn_t>(build.scan_fn);
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const int status =
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fn(d_temp_storage,
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temp_storage_bytes,
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d_in.state,
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d_out.state,
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op.state,
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(unsigned long long) num_items,
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reinterpret_cast<void*>(stream));
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return (status == 0) ? CUDA_SUCCESS : CUDA_ERROR_UNKNOWN;
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}
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catch (const std::exception& exc)
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{
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fprintf(stderr, "\nEXCEPTION in cccl_device_inclusive_scan_no_init(): %s\n", exc.what());
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return CUDA_ERROR_UNKNOWN;
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}
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// ---------------------------------------------------------------------------
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// Cleanup
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// ---------------------------------------------------------------------------
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CUresult cccl_device_scan_cleanup(cccl_device_scan_build_result_t* build_ptr)
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try
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{
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if (build_ptr == nullptr)
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{
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return CUDA_ERROR_INVALID_VALUE;
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}
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cccl::detail::release_jit_artifacts(build_ptr);
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build_ptr->scan_fn = nullptr;
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return CUDA_SUCCESS;
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}
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catch (const std::exception& exc)
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{
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fprintf(stderr, "\nEXCEPTION in cccl_device_scan_cleanup(): %s\n", exc.what());
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return CUDA_ERROR_UNKNOWN;
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}
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