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Fix RTN supported layer checking condition [3.x] #1706

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Merged
merged 3 commits into from
Apr 2, 2024
Merged

Fix RTN supported layer checking condition [3.x] #1706

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2609498
fix supported layer checking
Kaihui-intel Apr 1, 2024
fe7a319
change supported layers list to tuple
Kaihui-intel Apr 1, 2024
54bbca3
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Apr 1, 2024
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4 changes: 2 additions & 2 deletions neural_compressor/torch/algorithms/weight_only/rtn.py
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Original file line number Diff line number Diff line change
Expand Up @@ -81,7 +81,7 @@ def rtn_quantize(
model.to(device)

assert isinstance(model, torch.nn.Module), "only support torch module"
supported_layers = ["Linear"]
supported_layers = (torch.nn.Linear,)
# initialize global configuration
double_quant_config = {
"double_quant": kwargs.get("use_double_quant", False),
Expand All @@ -93,7 +93,7 @@ def rtn_quantize(
if export_compressed_model:
use_optimum_format = kwargs.get("use_optimum_format", True)
for name, m in model.named_modules():
if m.__class__.__name__ not in supported_layers:
if not isinstance(m, supported_layers):
continue
if name in weight_config: # pragma: no cover
# initialize op configuration
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