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import unittest
from detectron2.solver.build import _expand_param_groups, reduce_param_groups
class TestOptimizer(unittest.TestCase):
def testExpandParamsGroups(self):
params = [
{
"params": ["p1", "p2", "p3", "p4"],
"lr": 1.0,
"weight_decay": 3.0,
},
{
"params": ["p2", "p3", "p5"],
"lr": 2.0,
"momentum": 2.0,
},
{
"params": ["p1"],
"weight_decay": 4.0,
},
]
out = _expand_param_groups(params)
gt = [
dict(params=["p1"], lr=1.0, weight_decay=4.0), # noqa
dict(params=["p2"], lr=2.0, weight_decay=3.0, momentum=2.0), # noqa
dict(params=["p3"], lr=2.0, weight_decay=3.0, momentum=2.0), # noqa
dict(params=["p4"], lr=1.0, weight_decay=3.0), # noqa
dict(params=["p5"], lr=2.0, momentum=2.0), # noqa
]
self.assertEqual(out, gt)
def testReduceParamGroups(self):
params = [
dict(params=["p1"], lr=1.0, weight_decay=4.0), # noqa
dict(params=["p2", "p6"], lr=2.0, weight_decay=3.0, momentum=2.0), # noqa
dict(params=["p3"], lr=2.0, weight_decay=3.0, momentum=2.0), # noqa
dict(params=["p4"], lr=1.0, weight_decay=3.0), # noqa
dict(params=["p5"], lr=2.0, momentum=2.0), # noqa
]
gt_groups = [
{
"lr": 1.0,
"weight_decay": 4.0,
"params": ["p1"],
},
{
"lr": 2.0,
"weight_decay": 3.0,
"momentum": 2.0,
"params": ["p2", "p6", "p3"],
},
{
"lr": 1.0,
"weight_decay": 3.0,
"params": ["p4"],
},
{
"lr": 2.0,
"momentum": 2.0,
"params": ["p5"],
},
]
out = reduce_param_groups(params)
self.assertEqual(out, gt_groups)
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