AutoAndroidController/py/venv/Lib/site-packages/torch/include/ATen/xpu/XPUEvent.h

#pragma once
#include <ATen/xpu/XPUContext.h>

#include <optional>

namespace at::xpu {

/*
 * XPUEvent are movable not copyable wrappers around SYCL event. XPUEvent are
 * constructed lazily when first recorded. It has a device, and this device is
 * acquired from the first recording stream. Later streams that record the event
 * must match the same device.
 *
 * Currently, XPUEvent does NOT support to export an inter-process event from
 * another process via inter-process communication(IPC). So it means that
 * inter-process communication for event handles between different processes is
 * not available. This could impact some applications that rely on cross-process
 * synchronization and communication.
 */
struct TORCH_XPU_API XPUEvent {
  // Constructors
  XPUEvent(bool enable_timing = false) noexcept
      : enable_timing_{enable_timing} {}

  ~XPUEvent() {
    if (isCreated()) {
      const c10::impl::PyInterpreter* interp = c10::impl::GPUTrace::get_trace();
      if (C10_UNLIKELY(interp)) {
        (*interp)->trace_gpu_event_deletion(
            at::kXPU, reinterpret_cast<uintptr_t>(event_.get()));
      }
    }
  }

  XPUEvent(const XPUEvent&) = delete;
  XPUEvent& operator=(const XPUEvent&) = delete;

  XPUEvent(XPUEvent&& other) = default;
  XPUEvent& operator=(XPUEvent&& other) = default;

  operator sycl::event&() const {
    return event();
  }

  std::optional<at::Device> device() const {
    if (isCreated()) {
      return at::Device(at::kXPU, device_index_);
    } else {
      return std::nullopt;
    }
  }

  inline bool isCreated() const {
    return (event_.get() != nullptr);
  }

  DeviceIndex device_index() const {
    return device_index_;
  }

  sycl::event& event() const {
    return *event_;
  }

  bool query() const {
    using namespace sycl::info;
    if (!isCreated()) {
      return true;
    }

    return event().get_info<event::command_execution_status>() ==
        event_command_status::complete;
  }

  void record() {
    record(getCurrentXPUStream());
  }

  void recordOnce(const XPUStream& stream) {
    if (!isCreated()) {
      record(stream);
    }
  }

  void record(const XPUStream& stream) {
    if (!isCreated()) {
      device_index_ = stream.device_index();
      assignEvent(stream.queue());
      const c10::impl::PyInterpreter* interp = c10::impl::GPUTrace::get_trace();
      if (C10_UNLIKELY(interp)) {
        (*interp)->trace_gpu_event_creation(
            at::kXPU, reinterpret_cast<uintptr_t>(event_.get()));
      }
    } else {
      TORCH_CHECK(
          device_index_ == stream.device_index(),
          "Event device ",
          device_index_,
          " does not match recording stream's device ",
          stream.device_index(),
          ".");
      reassignEvent(stream.queue());
    }
    const c10::impl::PyInterpreter* interp = c10::impl::GPUTrace::get_trace();
    if (C10_UNLIKELY(interp)) {
      (*interp)->trace_gpu_event_record(
          at::kXPU,
          reinterpret_cast<uintptr_t>(event_.get()),
          reinterpret_cast<uintptr_t>(&stream.queue()));
    }
  }

  void block(const XPUStream& stream) {
    if (isCreated()) {
      std::vector<sycl::event> event_list{event()};
      // Make this stream wait until event_ is completed.
      stream.queue().ext_oneapi_submit_barrier(event_list);
      const c10::impl::PyInterpreter* interp = c10::impl::GPUTrace::get_trace();
      if (C10_UNLIKELY(interp)) {
        (*interp)->trace_gpu_event_wait(
            at::kXPU,
            reinterpret_cast<uintptr_t>(event_.get()),
            reinterpret_cast<uintptr_t>(&stream.queue()));
      }
    }
  }

  double elapsed_time(const XPUEvent& other) const {
    TORCH_CHECK(
        isCreated() && other.isCreated(),
        "Both events must be recorded before calculating elapsed time.");
    TORCH_CHECK(
        query() && other.query(),
        "Both events must be completed before calculating elapsed time.");
    TORCH_CHECK(
        enable_timing_ && other.enable_timing_,
        "Both events must be created with argument 'enable_timing=True'.");

#if SYCL_COMPILER_VERSION < 20250000
    TORCH_CHECK_NOT_IMPLEMENTED(
        false,
        "elapsed_time of XPUEvent requires PyTorch to be built with SYCL compiler version 2025.0.0 or newer.");
#endif

    using namespace sycl::info::event_profiling;
    // Block until both of the recorded events are completed.
    uint64_t end_time_ns = other.event().get_profiling_info<command_end>();
    uint64_t start_time_ns = event().get_profiling_info<command_end>();
    // Return the eplased time in milliseconds.
    return 1e-6 *
        (static_cast<double>(end_time_ns) - static_cast<double>(start_time_ns));
  }

  void synchronize() const {
    if (isCreated()) {
      const c10::impl::PyInterpreter* interp = c10::impl::GPUTrace::get_trace();
      if (C10_UNLIKELY(interp)) {
        (*interp)->trace_gpu_event_synchronization(
            at::kXPU, reinterpret_cast<uintptr_t>(event_.get()));
      }
      event().wait_and_throw();
    }
  }

 private:
  void assignEvent(sycl::queue& queue) {
#if SYCL_COMPILER_VERSION >= 20250000
    if (enable_timing_) {
      event_ = std::make_unique<sycl::event>(
          sycl::ext::oneapi::experimental::submit_profiling_tag(queue));
    } else {
      event_ = std::make_unique<sycl::event>(queue.ext_oneapi_submit_barrier());
    }
#else
    event_ = std::make_unique<sycl::event>(queue.ext_oneapi_submit_barrier());
#endif
  }

  void reassignEvent(sycl::queue& queue) {
    event_.reset();
    assignEvent(queue);
  }

  bool enable_timing_ = false;
  DeviceIndex device_index_ = -1;
  // Only need to track the last event, as events in an in-order queue are
  // executed sequentially.
  std::unique_ptr<sycl::event> event_;
};

} // namespace at::xpu