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7 changes: 7 additions & 0 deletions src/accelerate/optimizer.py
Original file line number Diff line number Diff line change
Expand Up @@ -141,6 +141,13 @@ def eval(self):
"""
if hasattr(self.optimizer, "eval") and callable(self.optimizer.eval):
self.optimizer.eval()
elif (
hasattr(self.optimizer, "optimizer")
and hasattr(self.optimizer.optimizer, "eval")
and callable(self.optimizer.optimizer.eval)
):
# the deepspeed optimizer further wraps the optimizer
self.optimizer.optimizer.eval()

def step(self, closure=None):
if is_lomo_available():
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31 changes: 31 additions & 0 deletions tests/test_optimizer.py
Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,7 @@
import torch

from accelerate import Accelerator
from accelerate.optimizer import AcceleratedOptimizer
from accelerate.test_utils import require_cpu, require_fp16, require_non_cpu
from accelerate.test_utils.testing import AccelerateTestCase

Expand All @@ -34,6 +35,36 @@ def test_accelerated_optimizer_pickling(self):
self.fail(f"Accelerated optimizer pickling failed with {e}")


class OptimizerModeTester(AccelerateTestCase):
def test_accelerated_optimizer_eval_reaches_deepspeed_wrapper(self):
class ScheduleFreeLikeOptimizer(torch.optim.SGD):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.mode = None

def eval(self):
self.mode = "eval"

class DeepSpeedLikeOptimizerWrapper:
def __init__(self, optimizer):
self.optimizer = optimizer

def state_dict(self):
return self.optimizer.state_dict()

def load_state_dict(self, state_dict):
self.optimizer.load_state_dict(state_dict)

Accelerator()
model = torch.nn.Linear(10, 10)
inner = ScheduleFreeLikeOptimizer(model.parameters(), lr=0.1)
optimizer = AcceleratedOptimizer(DeepSpeedLikeOptimizerWrapper(inner), device_placement=False)

optimizer.eval()

assert inner.mode == "eval"


@require_fp16
@require_non_cpu
class OptimizerTester(AccelerateTestCase):
Expand Down