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Move print_delegate_info to devtools #8207

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Merged
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Feb 6, 2025
Merged

Move print_delegate_info to devtools #8207

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3 changes: 2 additions & 1 deletion devtools/backend_debug/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,7 @@
from executorch.devtools.backend_debug.delegation_info import (
DelegationBreakdown,
get_delegation_info,
print_delegation_info,
)

__all__ = ["DelegationBreakdown", "get_delegation_info"]
__all__ = ["DelegationBreakdown", "get_delegation_info", "print_delegation_info"]
9 changes: 8 additions & 1 deletion devtools/backend_debug/delegation_info.py
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Expand Up @@ -11,7 +11,7 @@

import pandas as pd
import torch

from tabulate import tabulate

# Column names of the DataFrame returned by DelegationInfo.get_operator_delegation_dataframe()
# which describes the summarized delegation information grouped by each operator type
Expand Down Expand Up @@ -174,3 +174,10 @@ def _insert_op_occurrences_dict(node_name: str, delegated: bool) -> None:
num_delegated_subgraphs=delegated_subgraph_counter,
delegation_by_operator=op_occurrences_dict,
)


def print_delegation_info(graph_module: torch.fx.GraphModule):
delegation_info = get_delegation_info(graph_module)
print(delegation_info.get_summary())
df = delegation_info.get_operator_delegation_dataframe()
print(tabulate(df, headers="keys", tablefmt="fancy_grid"))
9 changes: 1 addition & 8 deletions examples/models/llama/export_llama_lib.py
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Expand Up @@ -23,7 +23,7 @@
import torch

from executorch.backends.vulkan._passes.remove_asserts import remove_asserts
from executorch.devtools.backend_debug import get_delegation_info
from executorch.devtools.backend_debug import print_delegation_info

from executorch.devtools.etrecord import generate_etrecord
from executorch.exir.passes.init_mutable_pass import InitializedMutableBufferPass
Expand All @@ -46,7 +46,6 @@
get_vulkan_quantizer,
)
from executorch.util.activation_memory_profiler import generate_memory_trace
from tabulate import tabulate

from ..model_factory import EagerModelFactory
from .source_transformation.apply_spin_quant_r1_r2 import (
Expand Down Expand Up @@ -801,12 +800,6 @@ def _export_llama(args) -> LLMEdgeManager: # noqa: C901
for partitioner in partitioners:
logging.info(f"--> {partitioner.__class__.__name__}")

def print_delegation_info(graph_module: torch.fx.GraphModule):
delegation_info = get_delegation_info(graph_module)
print(delegation_info.get_summary())
df = delegation_info.get_operator_delegation_dataframe()
print(tabulate(df, headers="keys", tablefmt="fancy_grid"))

additional_passes = []
if args.model in TORCHTUNE_DEFINED_MODELS:
additional_passes = [InitializedMutableBufferPass(["kv_cache_pos"])]
Expand Down
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