def test_set_lrs_with_list_of_values():
lo = LayerOptimizer(FakeOpt, params_('A', 'B', 'C'), 1e-2, 1e-4)
lo.set_lrs([2e-2, 3e-2, 4e-2])
check_optimizer_(
lo.opt,
[('A', 2e-2, 1e-4), ('B', 3e-2, 1e-4), ('C', 4e-2, 1e-4)],
)
def test_set_wds_with_list_of_values():
lo = LayerOptimizer(FakeOpt, params_("A", "B", "C"), 1e-2, 1e-4)
lo.set_wds([9e-3, 8e-3, 7e-3])
check_optimizer_(
lo.opt,
[("A", 1e-2, 9e-3), ("B", 1e-2, 8e-3), ("C", 1e-2, 7e-3)],
)
def test_set_wds_with_list_of_values():
lo = LayerOptimizer(FakeOpt, params_('A', 'B', 'C'), 1e-2, 1e-4)
lo.set_wds([9e-3, 8e-3, 7e-3])
check_optimizer_(
lo.opt,
[('A', 1e-2, 9e-3), ('B', 1e-2, 8e-3), ('C', 1e-2, 7e-3)],
)
def test_set_lrs_with_list_of_values():
lo = LayerOptimizer(FakeOpt, params_('A', 'B', 'C'), 1e-2, 1e-4)
lo.set_lrs([2e-2, 3e-2, 4e-2])
check_optimizer_(
lo.opt,
[('A', 2e-2, 1e-4), ('B', 3e-2, 1e-4), ('C', 4e-2, 1e-4)],
)
def test_set_lrs_with_list_of_values():
lo = LayerOptimizer(FakeOpt, params_("A", "B", "C"), 1e-2, 1e-4)
lo.set_lrs([2e-2, 3e-2, 4e-2])
check_optimizer_(
lo.opt,
[("A", 2e-2, 1e-4), ("B", 3e-2, 1e-4), ("C", 4e-2, 1e-4)],
)
def test_set_wds_with_list_of_values():
lo = LayerOptimizer(FakeOpt, params_('A', 'B', 'C'), 1e-2, 1e-4)
lo.set_wds([9e-3, 8e-3, 7e-3])
check_optimizer_(
lo.opt,
[('A', 1e-2, 9e-3), ('B', 1e-2, 8e-3), ('C', 1e-2, 7e-3)],
)
def test_set_lrs_list(self):
lo = LayerOptimizer(FakeOpt, params_('A', 'B', 'C'), 1e-2, 1e-4)
lo.set_lrs([2e-2, 3e-2, 4e-2])
self.check_optimizer_(
lo.opt,
[('A', 2e-2, 1e-4), ('B', 3e-2, 1e-4), ('C', 4e-2, 1e-4)],
)
def test_set_wds_list(self):
lo = LayerOptimizer(FakeOpt, params_('A', 'B', 'C'), 1e-2, 1e-4)
lo.set_wds([9e-3, 8e-3, 7e-3])
self.check_optimizer_(
lo.opt,
[('A', 1e-2, 9e-3), ('B', 1e-2, 8e-3), ('C', 1e-2, 7e-3)],
)
def _generate_clr_sched(self, model:nn.Module, use_clr_beta:(int), lrs:[float], cycle_len:int):
wds = 1e-7
opt_fn = partial(optim.Adam, betas=(0.0,0.9))
layer_opt = LayerOptimizer(opt_fn, self._get_inner_module(model).get_layer_groups(), lrs, wds)
div,pct = use_clr_beta[:2]
moms = use_clr_beta[2:] if len(use_clr_beta) > 3 else None
cycle_end = None
return CircularLR_beta(layer_opt, len(self.md.trn_dl)*cycle_len, on_cycle_end=cycle_end, div=div, pct=pct, momentums=moms)
def test_construction_with_lists_of_lrs_and_wds():
lo = LayerOptimizer(
FakeOpt,
params_('A', 'B', 'C'),
(1e-2, 2e-2, 3e-2),
(9e-3, 8e-3, 7e-3),
)
check_optimizer_(
lo.opt,
[('A', 1e-2, 9e-3), ('B', 2e-2, 8e-3), ('C', 3e-2, 7e-3)],
)
def test_construction_with_lists_of_lrs_and_wds():
lo = LayerOptimizer(
FakeOpt,
params_("A", "B", "C"),
(1e-2, 2e-2, 3e-2),
(9e-3, 8e-3, 7e-3),
)
check_optimizer_(
lo.opt,
[("A", 1e-2, 9e-3), ("B", 2e-2, 8e-3), ("C", 3e-2, 7e-3)],
)
def test_init_list(self):
lo = LayerOptimizer(
FakeOpt,
params_('A', 'B', 'C'),
(1e-2, 2e-2, 3e-2),
(9e-3, 8e-3, 7e-3),
)
self.check_optimizer_(
lo.opt,
[('A', 1e-2, 9e-3), ('B', 2e-2, 8e-3), ('C', 3e-2, 7e-3)],
)
def test_construction_with_too_few_lrs():
with pytest.raises(AssertionError):
LayerOptimizer(FakeOpt, params_('A', 'B', 'C'), (1e-2, 2e-2), 1e-4)
def test_construction_with_singleton_lr_and_wd():
lo = LayerOptimizer(FakeOpt, params_('A', 'B', 'C'), 1e-2, 1e-4)
check_optimizer_(lo.opt, [(nm, 1e-2, 1e-4) for nm in 'ABC'])
def test_set_wds_with_too_few_values():
lo = LayerOptimizer(FakeOpt, params_('A', 'B', 'C'), 1e-2, 1e-4)
with pytest.raises(AssertionError):
lo.set_wds([9e-3, 8e-3])
# Also make sure the optimizer didn't change.
check_optimizer_(lo.opt, [(nm, 1e-2, 1e-4) for nm in 'ABC'])
def test_set_wds_malformed(self):
lo = LayerOptimizer(FakeOpt, params_('A', 'B', 'C'), 1e-2, 1e-4)
with self.assertRaises(AssertionError):
lo.set_wds([9e-3, 8e-3])
self.check_optimizer_(lo.opt, [(nm, 1e-2, 1e-4) for nm in 'ABC'])
def test_set_lrs_with_too_few_values():
lo = LayerOptimizer(FakeOpt, params_('A', 'B', 'C'), 1e-2, 1e-4)
with pytest.raises(AssertionError):
lo.set_lrs([2e-2, 3e-2])
# Also make sure the optimizer didn't change.
check_optimizer_(lo.opt, [(nm, 1e-2, 1e-4) for nm in 'ABC'])
def test_set_wds_atomic(self):
lo = LayerOptimizer(FakeOpt, params_('A', 'B', 'C'), 1e-2, 1e-4)
lo.set_wds(1e-5)
self.check_optimizer_(lo.opt, [(nm, 1e-2, 1e-5) for nm in 'ABC'])
def test_construction_with_singleton_lr_and_wd():
lo = LayerOptimizer(FakeOpt, params_("A", "B", "C"), 1e-2, 1e-4)
check_optimizer_(lo.opt, [(nm, 1e-2, 1e-4) for nm in "ABC"])
def test_layer_optimizer(self):
lo = LayerOptimizer(FakeOpt, fastai_params_('A', 'B', 'C'), 1e-2, 1e-4)
fast_check_optimizer_(lo.opt, [(nm, 1e-2, 1e-4) for nm in 'ABC'])
def test_init_malformed_wd(self):
with self.assertRaises(AssertionError):
LayerOptimizer(FakeOpt, params_('A', 'B', 'C'), 1e-2, (9e-3, 8e-3))
def test_init_malformed_lr(self):
with self.assertRaises(AssertionError):
LayerOptimizer(FakeOpt, params_('A', 'B', 'C'), (1e-2, 2e-2), 1e-4)
def test_construction_with_too_few_wds():
with pytest.raises(AssertionError):
LayerOptimizer(FakeOpt, params_('A', 'B', 'C'), 1e-2, (9e-3, 8e-3))
def test_set_lrs_malformed():
lo = LayerOptimizer(FakeOpt, params_('A', 'B', 'C'), 1e-2, 1e-4)
with pytest.raises(AssertionError):
lo.set_lrs([2e-2, 3e-2])
check_optimizer_(lo.opt, [(nm, 1e-2, 1e-4) for nm in 'ABC'])
def test_set_wds_with_single_value():
lo = LayerOptimizer(FakeOpt, params_("A", "B", "C"), 1e-2, 1e-4)
lo.set_wds(1e-5)
check_optimizer_(lo.opt, [(nm, 1e-2, 1e-5) for nm in "ABC"])
def test_set_wds_with_single_value():
lo = LayerOptimizer(FakeOpt, params_('A', 'B', 'C'), 1e-2, 1e-4)
lo.set_wds(1e-5)
check_optimizer_(lo.opt, [(nm, 1e-2, 1e-5) for nm in 'ABC'])
def test_set_wds_with_single_value():
lo = LayerOptimizer(FakeOpt, params_('A', 'B', 'C'), 1e-2, 1e-4)
lo.set_wds(1e-5)
check_optimizer_(lo.opt, [(nm, 1e-2, 1e-5) for nm in 'ABC'])
def test_set_lrs_atomic():
lo = LayerOptimizer(FakeOpt, params_('A', 'B', 'C'), 1e-2, 1e-4)
lo.set_lrs(1e-3)
check_optimizer_(lo.opt, [(nm, 1e-3, 1e-4) for nm in 'ABC'])
def test_set_wds_with_too_few_values():
lo = LayerOptimizer(FakeOpt, params_("A", "B", "C"), 1e-2, 1e-4)
with pytest.raises(AssertionError):
lo.set_wds([9e-3, 8e-3])
# Also make sure the optimizer didn't change.
check_optimizer_(lo.opt, [(nm, 1e-2, 1e-4) for nm in "ABC"])
def test_init_atomic(self):
lo = LayerOptimizer(FakeOpt, params_('A', 'B', 'C'), 1e-2, 1e-4)
self.check_optimizer_(lo.opt, [(nm, 1e-2, 1e-4) for nm in 'ABC'])