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chore: import upstream snapshot with attribution
2026-07-13 12:38:16 +08:00

58 lines
1.7 KiB
Python

"""torch.compile-internal phase markers used by the tc_piecewise backend.
Two pieces of state, both private to the torch.compile path (the
``cuda_piecewise_backend`` FX backend and the runner that drives it):
* ``_in_torch_compile_warmup`` — true during the warmup-compile loop
where we run the compiled callable to trigger inductor compilation
but explicitly do **not** capture into a CUDA graph yet.
``cuda_piecewise_backend`` reads this to short-circuit the capture
branch.
* ``_pcg_capture_stream`` — the CUDA stream on which the runner is
performing capture, surfaced so the FX backend can use the same
stream for its own ``torch.cuda.graph(...)`` calls.
"""
from __future__ import annotations
from contextlib import contextmanager
import torch
_in_torch_compile_warmup = False
_pcg_capture_stream: torch.cuda.Stream | None = None
def is_in_torch_compile_warmup() -> bool:
"""True while inside the tc_piecewise warmup-compile pass. Strict subset of
``torch.compiler.is_compiling()``.
"""
return _in_torch_compile_warmup
@contextmanager
def enable_torch_compile_warmup():
"""Mark the enclosed scope as the tc_piecewise warmup-compile pass. The FX
piecewise backend uses this to skip CUDA graph capture during warmup.
"""
global _in_torch_compile_warmup
_in_torch_compile_warmup = True
try:
yield
finally:
_in_torch_compile_warmup = False
def get_pcg_capture_stream() -> torch.cuda.Stream | None:
return _pcg_capture_stream
@contextmanager
def set_pcg_capture_stream(stream: torch.cuda.Stream):
global _pcg_capture_stream
_pcg_capture_stream = stream
try:
yield
finally:
_pcg_capture_stream = None