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Resolve logger warnings #2250

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Merged
merged 1 commit into from
May 30, 2025
+6 −6
Merged

Resolve logger warnings #2250

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10 changes: 5 additions & 5 deletions torchao/dtypes/affine_quantized_tensor_ops.py
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Original file line number Diff line number Diff line change
Expand Up @@ -130,8 +130,8 @@ def deregister_aqt_quantized_linear_dispatch(dispatch_condition):
if dispatch_condition in _AQT_QLINEAR_DISPATCH_TABLE:
del _AQT_QLINEAR_DISPATCH_TABLE[dispatch_condition]
else:
logger.warn(
f"Attempting to remove non-existant dispatch condition {dispatch_condition}"
logger.warning(
f"Attempting to remove non-existent dispatch condition {dispatch_condition}"
)


Expand Down Expand Up @@ -274,7 +274,7 @@ def _(func, types, args, kwargs):
try:
return weight_tensor._quantized_linear_op(input_tensor, weight_tensor, bias)
except QuantizedLinearNotImplementedError as e:
# fallback path is only called when user did not specify a specfic quantized linear implementation with `_layout.quantized_linear_impl`
# fallback path is only called when user did not specify a specific quantized linear implementation with `_layout.quantized_linear_impl`
if (
isinstance(weight_tensor, AffineQuantizedTensor)
and hasattr(weight_tensor._layout, "quantized_linear_impl")
Expand Down Expand Up @@ -363,7 +363,7 @@ def _(func, types, args, kwargs):
input_tensor, transposed_weight_tensor, bias
)
except QuantizedLinearNotImplementedError as e:
# fallback path is only called when user did not specify a specfic quantized linear implementation with `_layout.quantized_linear_impl`
# fallback path is only called when user did not specify a specific quantized linear implementation with `_layout.quantized_linear_impl`
if (
isinstance(weight_tensor, AffineQuantizedTensor)
and hasattr(weight_tensor._layout, "quantized_linear_impl")
Expand Down Expand Up @@ -397,7 +397,7 @@ def _(func, types, args, kwargs):
input_tensor, transposed_weight_tensor, bias
)
except QuantizedLinearNotImplementedError as e:
# fallback path is only called when user did not specify a specfic quantized linear implementation with `_layout.quantized_linear_impl`
# fallback path is only called when user did not specify a specific quantized linear implementation with `_layout.quantized_linear_impl`
if (
isinstance(weight_tensor, AffineQuantizedTensor)
and hasattr(weight_tensor._layout, "quantized_linear_impl")
Expand Down
2 changes: 1 addition & 1 deletion torchao/quantization/quant_api.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1830,7 +1830,7 @@ def _uintx_weight_only_transform(

if use_hqq:
if dtype == torch.uint4:
logger.warn(
logger.warning(
"Recommended to use `int4_weight_only(group_size, use_hqq=True)` for the best performance"
)
quant_min, quant_max = _DTYPE_TO_QVALUE_BOUNDS[dtype]
Expand Down
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