Files
pytorch/c10/xpu/XPUGraphsC10Utils.h
Ma, Jing1 59ad8f1ac6 [XPU] Enhance XPUGeneratorImpl functionality to support XPUGraph (#163332)
As this [XPUGraph RFC](https://github.com/pytorch/pytorch/issues/162143) descripted. This PR enhances `XPUGeneratorImpl` to support XPUGraph.
In this PR, we add `XPUGerneratorState` and `PhiloxXpuState`. Which makes XPUGraph update philox state during graph capture and replay correctly

XPUGraph PR submission plan:

- [ ] 1, Enhance XPUGenerator functionality. Add XPUGeneratorState and philoxState
- [ ] 2, implemenet XPUGraph capture_begin/capture_end/instantiate functionality
- [ ] 3, implemenet XPUGraph replay/debug_dump/reset functionality
- [ ] 4, python APIs: is_current_stream_capturing/graph_pool_handle/graph
- [ ] 5, python APIs: make_graphed_callables

Pull Request resolved: https://github.com/pytorch/pytorch/pull/163332
Approved by: https://github.com/gujinghui, https://github.com/EikanWang, https://github.com/albanD
2025-10-13 02:10:41 +00:00

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1.1 KiB
C++

#pragma once
#include <c10/xpu/XPUStream.h>
#include <iostream>
// XPU Graphs utils used by c10 and aten.
using namespace sycl::ext::oneapi::experimental;
namespace c10::xpu {
static_assert(
int8_t(queue_state::executing) == 0,
"unexpected int(queue_state::executing) value");
static_assert(
int8_t(queue_state::recording) == 1,
"unexpected int(queue_state::recording) value");
enum class CaptureStatus : int8_t {
Executing = int8_t(queue_state::executing),
Recording = int8_t(queue_state::recording)
};
inline std::ostream& operator<<(std::ostream& os, CaptureStatus status) {
switch (status) {
case CaptureStatus::Executing:
os << "Executing";
break;
case CaptureStatus::Recording:
os << "Recording";
break;
default:
TORCH_INTERNAL_ASSERT(
false, "Unknown XPU graph CaptureStatus", int(status));
}
return os;
}
inline CaptureStatus currentStreamCaptureStatusMayInitCtx() {
auto state = c10::xpu::getCurrentXPUStream().queue().ext_oneapi_get_state();
return CaptureStatus(state);
}
} // namespace c10::xpu