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# Owner(s): ["oncall: distributed"]
from collections import OrderedDict
from typing import TYPE_CHECKING
import torch
import torch.distributed.checkpoint._traverse as _traverse
from torch.testing._internal.common_utils import run_tests, TestCase
if TYPE_CHECKING:
from torch.distributed.checkpoint.metadata import STATE_DICT_TYPE
class TestTraverse(TestCase):
"""
Test class for util methods of _traverse
"""
def test_traverse_shallow(self) -> None:
state_dict = {
"key0": 1,
"key1": [1, 2],
"key2": {1: 2, 2: 3},
"key3": torch.tensor([1]),
}
data = {}
def collect_data(path, value):
nonlocal data
data[path] = value
_traverse.traverse_state_dict(state_dict, collect_data)
self.assertIn(("key0",), data)
self.assertEqual(data[("key0",)], 1)
self.assertIn(("key1",), data)
self.assertEqual(data[("key1",)], [1, 2])
self.assertIn(("key2", "1"), data)
self.assertEqual(data[("key2", "1")], 2)
self.assertIn(("key2", "2"), data)
self.assertEqual(data[("key2", "2")], 3)
self.assertIn(("key3",), data)
self.assertEqual(data[("key3",)], torch.tensor([1]))
def test_traverse_nested_list(self) -> None:
state_dict = {
"key1": [
torch.tensor([1]),
[33, torch.tensor([2]), [44, 55]],
[66, 77],
],
}
data = {}
def collect_data(path, value):
nonlocal data
data[path] = value
_traverse.traverse_state_dict(state_dict, collect_data)
self.assertNotIn(("key1"), data)
self.assertIn(("key1", 0), data)
self.assertEqual(data[("key1", 0)], torch.tensor([1]))
self.assertIn(("key1", 1, 0), data)
self.assertEqual(data[("key1", 1, 0)], 33)
self.assertIn(("key1", 1, 1), data)
self.assertEqual(data[("key1", 1, 1)], torch.tensor([2]))
self.assertIn(("key1", 1, 2), data)
self.assertEqual(data[("key1", 1, 2)], [44, 55])
self.assertNotIn(("key1", 1, 2, 0), data)
self.assertIn(("key1", 2), data)
self.assertEqual(data[("key1", 2)], [66, 77])
def test_traverse_nested_dict(self) -> None:
state_dict = {
"key0": {"key1": 99, "key2": torch.tensor([1])},
}
data = {}
def collect_data(path, value):
nonlocal data
data[path] = value
_traverse.traverse_state_dict(state_dict, collect_data)
self.assertNotIn(("key0",), data)
self.assertIn(("key0", "key1"), data)
self.assertEqual(data[("key0", "key1")], 99)
self.assertIn(("key0", "key2"), data)
self.assertEqual(data[("key0", "key2")], torch.tensor([1]))
def test_traverse_doesnt_ignore_intermediate_collections(self) -> None:
state_dict: STATE_DICT_TYPE = {"key0": [{"key1": {"key2": torch.tensor([1])}}]}
data = {}
def collect_data(path, value):
nonlocal data
data[path] = value
_traverse.traverse_state_dict(state_dict, collect_data)
self.assertIn(("key0", 0, "key1", "key2"), data)
self.assertEqual(
data[("key0", 0, "key1", "key2")],
torch.tensor([1]),
)
def test_traverse_with_ordered_dict(self) -> None:
state_dict = OrderedDict(
{
"key0": [
99,
torch.tensor([3]),
]
}
)
data = {}
def collect_data(path, value):
nonlocal data
data[path] = value
_traverse.traverse_state_dict(state_dict, collect_data)
self.assertIn(("key0", 0), data)
self.assertEqual(data[("key0", 0)], 99)
self.assertIn(("key0", 1), data)
self.assertEqual(data[("key0", 1)], torch.tensor([3]))
def test_set_element(self) -> None:
state_dict: STATE_DICT_TYPE = {}
_traverse.set_element(state_dict, ("k",), 10)
self.assertEqual(state_dict["k"], 10)
_traverse.set_element(state_dict, ("k1", 2), 1)
self.assertEqual(state_dict["k1"], [None, None, 1])
_traverse.set_element(state_dict, ("k1", 1), 99)
self.assertEqual(state_dict["k1"], [None, 99, 1])
_traverse.set_element(state_dict, ("k1", 3), 88)
self.assertEqual(state_dict["k1"], [None, 99, 1, 88])
_traverse.set_element(state_dict, ("k2", "k3"), 3)
self.assertEqual(state_dict["k2"], {"k3": 3})
_traverse.set_element(state_dict, ("k2", "k4", 0, 0), 99)
self.assertEqual(state_dict["k2"]["k4"][0], [99])
def test_get_element(self) -> None:
state_dict = {"a": [0, 1], "b": [2, {"c": "d"}]}
self.assertEqual(_traverse.get_element(state_dict, ("a",)), [0, 1])
self.assertEqual(_traverse.get_element(state_dict, ("b", 0)), 2)
self.assertEqual(_traverse.get_element(state_dict, ("b", 1, "c")), "d")
self.assertIsNone(_traverse.get_element(state_dict, ("c",)))
self.assertIsNone(_traverse.get_element(state_dict, ("a", 33)))
self.assertIsNone(_traverse.get_element(state_dict, ("b", 88)))
self.assertIsNone(_traverse.get_element(state_dict, ("b", 0, 2)))
self.assertIsNone(_traverse.get_element(state_dict, ("b", 1, 2)))
self.assertIsNone(_traverse.get_element(state_dict, ("b", 1, "d")))
if __name__ == "__main__":
run_tests()
|
