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Added basic logging for torch.compile #29443

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Added basic logging for torch.compile #29443

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a7c30c1
Added basic logging for torch.compile
suryasidd Mar 13, 2025
f1905d2
Merge branch 'master' into surya/logging_changes
suryasidd Mar 13, 2025
f621ef5
Merge branch 'master' into surya/logging_changes
suryasidd Mar 13, 2025
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3 changes: 2 additions & 1 deletion src/bindings/python/src/openvino/frontend/pytorch/torchdynamo/compile.py
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Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,6 @@

import logging
logger = logging.getLogger(__name__)
logger.setLevel(logging.WARNING)

def cached_model_name(model_hash_str, device, args, cache_root, reversed = False):
if model_hash_str is None:
Expand Down Expand Up @@ -138,4 +137,6 @@ def openvino_compile(gm: GraphModule, *args, model_hash_str: str = None, options
config["CACHE_DIR"] = cache_root

compiled = core.compile_model(om, device, config)
logger.debug(f"OpenVINO graph compile successful on device {device}")

return compiled
6 changes: 3 additions & 3 deletions src/bindings/python/src/openvino/frontend/pytorch/torchdynamo/execute.py
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Expand Up @@ -29,7 +29,6 @@

import logging
logger = logging.getLogger(__name__)
logger.setLevel(logging.WARNING)


DEFAULT_OPENVINO_PYTHON_CONFIG = MappingProxyType(
Expand Down Expand Up @@ -128,8 +127,9 @@ def __call__(self, *args):

try:
result = openvino_execute(self.gm, *args, executor_parameters=self.executor_parameters, partition_id=self.partition_id, options=self.options)
except Exception:
logger.debug("OpenVINO execution failed. Falling back to native PyTorch execution.")
logger.debug("OpenVINO graph execution successful")
except Exception as e:
logger.debug(f"OpenVINO execution failed with {e}. Falling back to native PyTorch execution.")
self.perm_fallback = True
return self.gm(*args)

Expand Down
3 changes: 2 additions & 1 deletion src/bindings/python/src/openvino/frontend/pytorch/torchdynamo/partition.py
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Expand Up @@ -22,7 +22,6 @@
import logging

logger = logging.getLogger(__name__)
logger.setLevel(logging.WARNING)


class PatternNode:
Expand Down Expand Up @@ -133,6 +132,7 @@ def capture_nncf_patterns(self, graph_module: GraphModule):
self.supported_ops.enable_by_name(pattern_op)

def make_partitions(self, graph_module: GraphModule, options) -> GraphModule:
logger.debug(f"Graph module before partitioning {graph_module}")
allow_single_node_partition = _is_testing(options)
self.capture_gptq_patterns(graph_module)
self.capture_nncf_patterns(graph_module)
Expand All @@ -141,5 +141,6 @@ def make_partitions(self, graph_module: GraphModule, options) -> GraphModule:
partitions = partitioner.propose_partitions()
self.add_get_attr_inputs(partitions)
fused_graph_module = partitioner.fuse_partitions(partitions)
logger.debug(f"Graph module after partitioning {fused_graph_module}")

return fused_graph_module
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