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[Bug] Try to fix CI #502

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merged 1 commit into from
Apr 11, 2023
Merged

[Bug] Try to fix CI #502

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3 changes: 2 additions & 1 deletion mmrazor/engine/runner/quantization_loops.py
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Original file line number Diff line number Diff line change
Expand Up @@ -18,14 +18,15 @@

from torch.utils.data import DataLoader

from mmrazor.models import register_torch_fake_quants, register_torch_observers
from mmrazor.models.fake_quants import (enable_param_learning,
enable_static_estimate, enable_val)
from mmrazor.registry import LOOPS
from mmrazor.models import register_torch_fake_quants, register_torch_observers

TORCH_observers = register_torch_observers()
TORCH_fake_quants = register_torch_fake_quants()


@LOOPS.register_module()
class QATEpochBasedLoop(EpochBasedTrainLoop):
"""`EpochBasedLoop` for `QuantizationAwareTraining`
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2 changes: 1 addition & 1 deletion mmrazor/models/fake_quants/torch_fake_quants.py
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Expand Up @@ -10,6 +10,7 @@
from mmrazor.utils import get_package_placeholder
torch_fake_quant_src = get_package_placeholder('torch>=1.13')


# TORCH_fake_quants = register_torch_fake_quants()
# TORCH_fake_quants including:
# FakeQuantize
Expand All @@ -35,4 +36,3 @@ def register_torch_fake_quants() -> List[str]:
MODELS.register_module(module=_fake_quant)
torch_fake_quants.append(module_name)
return torch_fake_quants

1 change: 1 addition & 0 deletions mmrazor/models/observers/torch_observers.py
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Expand Up @@ -30,6 +30,7 @@ def reset_min_max_vals(self):

PerChannelMinMaxObserver.reset_min_max_vals = reset_min_max_vals


# TORCH_observers = register_torch_observers()
# TORCH_observers including:
# FixedQParamsObserver
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