1. 概述
hip::Stream 是 HIP 运行时(ROCclr/hipamd 层)中**命令流(stream/queue)**的核心实现类。用户通过公开句柄 hipStream_t 操作它,而运行时内部将该句柄 reinterpret_cast 成 hip::Stream* 来访问真正的对象。
一个 stream 表示一条按 FIFO 顺序执行的 GPU 命令队列:同一 stream 内的 kernel 启动、内存拷贝、memset、event 等命令按提交顺序串行执行;不同 stream 之间可并发。
定义位置:
- 声明:
projects/clr/hipamd/src/hip_internal.hpp - 实现:
projects/clr/hipamd/src/hip_stream.cpp
2. 类层次与底层映射
cpp
class Stream : public amd::HostQueue { ... };
hip::Stream 继承自 amd::HostQueue,这是关键的架构事实:

因此,stream 在底层就是一个 ROCclr 命令队列 。在 hip_memory.cpp 等处看到的 command->enqueue()、command->queue()->finishCommand()、stream.finish() 等调用,本质上都是在操作这条 HostQueue。队列再向下对接 HSA/ROCr,由 GPU 的硬件队列(AQL queue)、SDMA 拷贝引擎或 compute shader 执行实际工作。
3. 构造与生命周期
3.1 构造函数
cpp
Stream::Stream(hip::Device* dev, Priority p, unsigned int f, bool null_stream,
const std::vector<uint32_t>& cuMask, hipStreamCaptureStatus captureStatus)
: amd::HostQueue(*dev->asContext(), *dev->devices()[0], 0,
amd::CommandQueue::RealTimeDisabled,
convertToQueuePriority(p), cuMask, null_stream),
device_(dev), priority_(p), flags_(f), null_(null_stream),
cuMask_(cuMask), stream_id_(GenerateStreamId()),
captureStatus_(captureStatus) {
device_->AddStream(this);
}
构造时:
- 初始化基类
amd::HostQueue,绑定到设备的amd::Context和amd::Device,并传入优先级与 CU mask。 - 生成进程内唯一的
stream_id_(单调递增)。 - 调用
device_->AddStream(this)把自己注册到所属hip::Device。
3.2 创建、销毁、终止
| 方法 | 作用 |
|---|---|
Create() |
调用基类 create() 真正分配底层队列资源 |
Destroy() |
从活动队列与设备注销,设置强制销毁标志后 release() |
terminate() |
调用 HostQueue::terminate() 清理 |
注意析构函数 ~Stream() = default 被声明为 private ,因为 HostQueue 是引用计数对象,生命周期由 retain()/release() 管理,不能直接 delete。
创建流程(公开 API 入口):
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失败
hipStreamCreate / WithFlags / WithPriority
ihipStreamCreate
new hip::Stream(...)
hStream->Create()
*stream = reinterpret_cast(hStream)
Stream::Destroy -> hipErrorOutOfMemory
4. 关键属性
| 成员 | 含义 |
|---|---|
device_ |
所属 hip::Device |
priority_ |
调度优先级:High(-1) / Normal(0) / Low(1) |
flags_ |
创建标志,如 hipStreamNonBlocking |
null_ |
是否为 null(默认遗留)流 |
cuMask_ |
CU 掩码,限制可用的计算单元 |
stream_id_ |
进程内唯一流 ID |
captureStatus_ 等 |
图捕获(graph capture)相关状态 |
detached_ |
green context 生命周期标志 |
4.1 优先级
Priority 枚举定义为 High = -1, Normal = 0, Low = 1,通过 convertToQueuePriority() 映射到 amd::CommandQueue::Priority。优先级范围由 hipDeviceGetStreamPriorityRange 暴露。
5. 特殊 stream 语义
5.1 Null stream(默认流)
传 nullptr 或 hipStreamLegacy 时,运行时使用设备的 null stream。它与其他 stream 有隐式同步 语义。isValid 对 null/legacy 直接返回 true。
5.2 Per-thread default stream
hipStreamPerThread 通过 StreamPerThread 为每线程、每设备惰性创建一个独立默认流:
cpp
hipStream_t StreamPerThread::Get() {
const int currDev = hip::getCurrentDevice()->deviceId();
if (streams_.empty()) streams_.resize(g_devices.size());
if (streams_[currDev] == nullptr || !hip::isValid(streams_[currDev])) {
ihipStreamCreate(&streams_[currDev], hipStreamDefault, Priority::Normal);
}
return streams_[currDev];
}
它对 hipDeviceReset 做了防御性重建。解析入口为 getStreamPerThread。
5.3 句柄解析流程
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hipStreamPerThread
普通句柄
hipStream_t 句柄
值?
设备 null stream
getStreamPerThread -> 线程局部流
reinterpret_cast
hip::Stream*
6. 执行与同步
因为 hip::Stream 就是 HostQueue,命令执行依托基类接口:
- 提交 :
command->enqueue()把命令放入队列尾部。 - 同步整条流 :
stream.finish()(阻塞 host 直到队列清空),见hipStreamSynchronize_common。 - 同步单条命令 :
command->queue()->finishCommand(command)。 - 依赖串接 :
getLastQueuedCommand()+amd::Marker在跨队列时建立依赖(见ihipMemcpy尾部逻辑)。
hipStreamSynchronize 的处理:
cpp
hipError_t hipStreamSynchronize_common(hipStream_t stream) {
getStreamPerThread(stream);
if (stream == nullptr) { // null 流:只同步阻塞流
getCurrentDevice()->SyncAllStreams(false, /*blockingOnly*/ true);
return hipSuccess;
}
CHECK_STREAM_DETACHED(stream);
if (stream != hipStreamLegacy && hip::Stream::StreamCaptureOngoing(stream))
HIP_RETURN(hipErrorStreamCaptureUnsupported); // 捕获中不允许同步
auto hip_stream = hip::getStream(stream, /*wait*/ false);
hip_stream->finish();
hip_stream->GetDevice()->ReleaseFreedMemory();
return hipSuccess;
}
7. 流捕获(Stream Capture / HIP Graph)
hip::Stream 承担了把一串命令录制成 hip::Graph 的职责。相关状态机:
| 状态 | 含义 |
|---|---|
hipStreamCaptureStatusNone |
未捕获 |
hipStreamCaptureStatusActive |
正在捕获 |
hipStreamCaptureStatusInvalidated |
捕获被破坏(非法操作触发) |
关键机制:
SetCaptureGraph()开始捕获,状态置为 Active。lastCapturedNodes_/removedDependencies_维护图节点依赖关系。parallelCaptureStreams_记录 fork 出的并行分支,EndCapture()会递归结束它们。captureEvents_把 event 绑定到当前捕获。
StreamCaptureOngoing 实现了三种捕获模式下的跨流失效策略:
- Relaxed:不干扰其他流。
- Global:使所有线程中正在捕获的流失效。
- ThreadLocal:仅使当前线程的捕获流失效。
正因为捕获期间不允许隐式同步,像 hipMemcpyWithStream 这类"异步+同步"的 API 会先检查 StreamCaptureOngoing 并在捕获中返回 hipErrorStreamCaptureUnsupported。
8. 执行上下文(Green Context)与 Detach
为支持 green context 资源隔离,stream 引入了 detached_ 原子标志:
cpp
void Stream::Detach() {
if (captureStatus_ == hipStreamCaptureStatusActive) {
captureStatus_ = hipStreamCaptureStatusInvalidated;
for (auto s : parallelCaptureStreams_)
reinterpret_cast<hip::Stream*>(s)->SetCaptureStatus(hipStreamCaptureStatusInvalidated);
}
detached_.store(true, std::memory_order_release);
}
当拥有该流的 ExecutionCtx 被销毁时调用 Detach():
- 正在进行的捕获被置为 invalidated(含所有并行分支)。
- 之后对该流的提交/同步 API 须返回
hipErrorStreamDetached(由CHECK_STREAM_DETACHED宏强制)。 hipStreamDestroy对已 detach 的流仍可成功。
9. 有效性与设备注册
- 每个
hip::Device维护其 stream 集合,通过AddStream/RemoveStream/StreamExists管理。 hip::isValid(stream)遍历所有设备确认句柄仍被某设备持有,用于 API 入口的健壮性校验。
10. 典型调用链示例(以内存拷贝为例)
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11. 小结
| 维度 | 实现要点 |
|---|---|
| 本质 | 继承 amd::HostQueue 的 FIFO 命令队列 |
| 句柄 | hipStream_t 与 hip::Stream* 直接 reinterpret_cast |
| 执行 | enqueue 提交,finish/finishCommand 同步,底层对接 HSA/ROCr |
| 特殊流 | null stream(隐式同步)、per-thread default(线程+设备惰性创建) |
| 调度 | 优先级(High/Normal/Low)+ CU mask |
| 高级特性 | Stream capture(HIP Graph 录制)、green context detach |
| 生命周期 | 引用计数管理,private 析构,设备注册表跟踪 |
hip::Stream 是连接 HIP 公开 API 与 ROCclr 命令执行引擎的枢纽:对上提供 CUDA 兼容的 stream 语义,对下将所有 GPU 操作组织为有序、可并发、可录制的命令队列。