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Fix import of getArtifactLogger for ir_pre_fusion and ir_post_fusion (#147560)

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Fixes #147002

There was an issue with the previous PR https://github.com/pytorch/pytorch/pull/147248 that didn't show up in CI,
where a logging import was not complete in torch/_inductor/debug.py before importing it.
This only happened if someone directly imported the file without doing any other imports before.

Also set to off_by_default by request to reduce log spew.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/147560
Approved by: https://github.com/Skylion007
This commit is contained in:
Riley Dulin
2025-02-25 03:36:06 +00:00
committed by PyTorch MergeBot
parent e34c15a05b
commit 20295c017e
2 changed files with 9 additions and 4 deletions
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11
torch/_inductor/debug.py
View File

@ -23,6 +23,7 @@ from functorch.compile import draw_graph, get_aot_graph_name, get_graph_being_co
from torch import fx as fx
from torch._dynamo.repro.after_aot import save_graph_repro
from torch._dynamo.utils import get_debug_dir
from torch._logging import getArtifactLogger
from torch.fx.graph_module import GraphModule
from torch.fx.passes.shape_prop import _extract_tensor_metadata, TensorMetadata
from torch.fx.passes.tools_common import legalize_graph
@ -43,8 +44,8 @@ from .virtualized import V
log = logging.getLogger(__name__)
ir_pre_fusion_log = torch._logging.getArtifactLogger(__name__, "ir_pre_fusion")
ir_post_fusion_log = torch._logging.getArtifactLogger(__name__, "ir_post_fusion")
ir_pre_fusion_log = getArtifactLogger(__name__, "ir_pre_fusion")
ir_post_fusion_log = getArtifactLogger(__name__, "ir_post_fusion")
SchedulerNodeList = list[Any]
BufMeta = collections.namedtuple("BufMeta", ["name", "n_origin"])
GRAPHVIZ_COMMAND_SCALABLE = ["dot", "-Gnslimit=2", "-Gnslimit1=2", "-Gmaxiter=5000"]
@ -525,10 +526,12 @@ class DebugFormatter:
fd.write(gm.print_readable(print_output=False))
def ir_pre_fusion(self, nodes: SchedulerNodeList) -> None:
ir_pre_fusion_log.debug("BEFORE FUSION\n%s", self._write_ir(nodes))
if ir_pre_fusion_log.isEnabledFor(logging.INFO):
ir_pre_fusion_log.info("BEFORE FUSION\n%s", self._write_ir(nodes))
def ir_post_fusion(self, nodes: SchedulerNodeList) -> None:
ir_post_fusion_log.debug("AFTER FUSION\n%s", self._write_ir(nodes))
if ir_post_fusion_log.isEnabledFor(logging.INFO):
ir_post_fusion_log.info("AFTER FUSION\n%s", self._write_ir(nodes))
def _write_ir(self, nodes: SchedulerNodeList) -> str:
buf = io.StringIO()

2
torch/_logging/_registrations.py
View File

@ -109,10 +109,12 @@ register_artifact(
register_artifact(
"ir_pre_fusion",
"Prints the IR before inductor fusion passes.",
off_by_default=True,
)
register_artifact(
"ir_post_fusion",
"Prints the IR after inductor fusion passes.",
off_by_default=True,
)
register_artifact(
"compiled_autograd",