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# Owner(s): ["module: fx"]
import json
import torch
from torch._inductor.compile_fx import aot_export_module
from torch.fx.traceback import get_graph_provenance_json, NodeSource, NodeSourceAction
from torch.testing._internal.common_utils import TestCase
class TestFXNodeSource(TestCase):
def test_node_source(self):
node_source = NodeSource(
node=None, pass_name="test_pass", action=NodeSourceAction.CREATE
)
self.assertExpectedInline(
node_source.print_readable().strip(),
"""(name=, pass_name=test_pass, action=create, graph_id=-1)""",
)
dummy_source_dict = {
"name": "",
"target": "",
"pass_name": "test_pass",
"action": NodeSourceAction.CREATE,
"graph_id": -1,
"from_node": [],
}
self.assertEqual(
node_source.to_dict(),
dummy_source_dict,
)
# Dummy node
node = torch.fx.Node(
graph=torch.fx.Graph(),
name="add",
op="call_function",
target=torch.ops.aten.add.Tensor, # type: ignore[attr-defined]
args=(torch.tensor(3), torch.tensor(4)),
kwargs={},
)
node.meta["from_node"] = [node_source]
graph_id = id(node.graph)
node_source = NodeSource(
node=node, pass_name="test_pass", action=NodeSourceAction.CREATE
)
self.assertExpectedInline(
node_source.print_readable().strip(),
f"""\
(name=add, pass_name=test_pass, action=create, graph_id={graph_id})
(name=, pass_name=test_pass, action=create, graph_id=-1)""",
)
self.assertEqual(
node_source.to_dict(),
{
"name": "add",
"target": "aten.add.Tensor",
"pass_name": "test_pass",
"action": NodeSourceAction.CREATE,
"graph_id": graph_id,
"from_node": [dummy_source_dict],
},
)
def test_graph_provenance(self):
def check_node_source(node_source_dict, name, pass_name, action):
self.assertEqual(node_source_dict["name"], name)
self.assertEqual(node_source_dict["pass_name"], pass_name)
self.assertEqual(node_source_dict["action"], action)
def get_first_node_source_and_check(node_source_dict):
"""
Get the first node source from the from_node list.
"""
self.assertEqual(len(node_source_dict["from_node"]), 1)
return node_source_dict["from_node"][0]
class Model(torch.nn.Module):
def __init__(self):
super().__init__()
self.fc1 = torch.nn.Linear(10, 16)
self.relu = torch.nn.ReLU()
self.fc2 = torch.nn.Linear(16, 1)
self.sigmoid = torch.nn.Sigmoid()
def forward(self, x):
x = self.fc1(x)
x = self.relu(x)
x = self.fc2(x)
x = self.sigmoid(x)
return (x,)
model = Model()
example_inputs = (torch.randn(8, 10),)
ep = torch.export.export(
model,
example_inputs,
)
gm = ep.module()
provenance = get_graph_provenance_json(gm.graph)
provenance = json.loads(provenance)
self.assertEqual(
set(provenance.keys()), {"relu", "linear", "sigmoid", "linear_1"}
)
# Check node "linear" is created from node "x" in PropagateUnbackedSymInts
key_provenance = provenance["linear"]
self.assertEqual(len(key_provenance), 1)
key_provenance = key_provenance[0]
check_node_source(
key_provenance,
"x",
"Interpreter_PropagateUnbackedSymInts",
NodeSourceAction.CREATE,
)
# Check node "x" is then created from another node "x" in FlattenInputOutputSignature
key_provenance = get_first_node_source_and_check(key_provenance)
check_node_source(
key_provenance,
"x",
"Interpreter_FlattenInputOutputSignature",
NodeSourceAction.CREATE,
)
gm, graph_signature = aot_export_module(
gm,
example_inputs,
trace_joint=False,
)
provenance = get_graph_provenance_json(gm.graph)
provenance = json.loads(provenance)
self.assertEqual(
set(provenance.keys()), {"t", "addmm", "relu", "t_1", "addmm_1", "sigmoid"}
)
for key in ["t", "addmm"]:
# The node provenance hierarchy should be:
# t -> linear -> x -> x
#
# x -> y means x is created from y
key_provenance = provenance[key]
self.assertEqual(len(key_provenance), 1)
key_provenance = key_provenance[0]
# Check node "t" and "addmm" is created from node "linear" in PropagateUnbackedSymInts
check_node_source(
key_provenance,
"linear",
"Interpreter_PropagateUnbackedSymInts",
NodeSourceAction.CREATE,
)
# Check node "linear" is then created from node "x" in PropagateUnbackedSymInts
key_provenance = get_first_node_source_and_check(key_provenance)
check_node_source(
key_provenance,
"x",
"Interpreter_PropagateUnbackedSymInts",
NodeSourceAction.CREATE,
)
# Check node "x" is then created from another node "x" in FlattenInputOutputSignature
key_provenance = get_first_node_source_and_check(key_provenance)
check_node_source(
key_provenance,
"x",
"Interpreter_FlattenInputOutputSignature",
NodeSourceAction.CREATE,
)
|
