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[PT2][Inductor] Change the split cat log to debug (#120823)

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Summary: Address the report in https://github.com/pytorch/pytorch/issues/120771.

Test Plan: see signal

Differential Revision: D54323475

Pull Request resolved: https://github.com/pytorch/pytorch/pull/120823
Approved by: https://github.com/jackiexu1992
This commit is contained in:
Menglu Yu
2024-03-01 22:34:23 +00:00
committed by PyTorch MergeBot
parent 797d4fbdf4
commit fd2ab1f613
1 changed files with 8 additions and 8 deletions
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16
torch/_inductor/fx_passes/split_cat.py
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@ -115,10 +115,10 @@ def normalize_split_base(
graph = match.graph graph = match.graph
split_input, split_size, split_dim = _get_split_args(split_node) split_input, split_size, split_dim = _get_split_args(split_node)
if split_input is None or split_dim is None or split_size is None: if split_input is None or split_dim is None or split_size is None:
log.info("couldn't find split args") log.debug("couldn't find split args")
return return
if "example_value" not in split_node.meta: if "example_value" not in split_node.meta:
log.warning("example value absent for node: %s", split_node) log.debug("example value absent for node: %s", split_node)
return return
assert isinstance(split_node.meta["example_value"], (list, tuple)) assert isinstance(split_node.meta["example_value"], (list, tuple))
split_sections = [t.size()[split_dim] for t in split_node.meta["example_value"]] split_sections = [t.size()[split_dim] for t in split_node.meta["example_value"]]
@ -180,10 +180,10 @@ def normalize_unbind_default(match: Match, *args, **kwargs):
else: else:
dim = 0 dim = 0
if input is None: if input is None:
log.info("couldn't find unbind args") log.debug("couldn't find unbind args")
return return
if "example_value" not in input.meta: if "example_value" not in input.meta:
log.warning("example value absent for node: %s", input) log.debug("example value absent for node: %s", input)
return return
ndim = input.meta["example_value"].ndim ndim = input.meta["example_value"].ndim
if dim < 0: # Normalize unbind dim if dim < 0: # Normalize unbind dim
@ -219,12 +219,12 @@ def normalize_cat_default(match: Match, *args, **kwargs):
else: else:
cat_dim = 0 cat_dim = 0
if tensors is None or cat_dim is None: if tensors is None or cat_dim is None:
log.info("couldn't find cat args") log.debug("couldn't find cat args")
return return
assert isinstance(tensors, (list, tuple)) assert isinstance(tensors, (list, tuple))
for tensor in itertools.chain([cat_node], tensors): for tensor in itertools.chain([cat_node], tensors):
if "example_value" not in tensor.meta: if "example_value" not in tensor.meta:
log.warning("example value absent for node: %s", tensor) log.debug("example value absent for node: %s", tensor)
return return
ndim = cat_node.meta["example_value"].dim() ndim = cat_node.meta["example_value"].dim()
@ -264,14 +264,14 @@ def normalize_stack_default(match: Match, *args, **kwargs):
tensors = get_arg_value(node, 0, "tensors") tensors = get_arg_value(node, 0, "tensors")
dim = get_arg_value(node, 1, "dim") or 0 dim = get_arg_value(node, 1, "dim") or 0
if tensors is None or dim is None: if tensors is None or dim is None:
log.info("couldn't find stack args") log.debug("couldn't find stack args")
return return
assert isinstance(tensors, (list, tuple)) assert isinstance(tensors, (list, tuple))
# A bug in pytorch, some nodes miss the example_value metadata # A bug in pytorch, some nodes miss the example_value metadata
for tensor in itertools.chain([node], tensors): for tensor in itertools.chain([node], tensors):
if "example_value" not in tensor.meta: if "example_value" not in tensor.meta:
log.warning("example value absent for node: %s", tensor) log.debug("example value absent for node: %s", tensor)
return return
ndim = node.meta["example_value"].dim() ndim = node.meta["example_value"].dim()