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fix: support torchao >= 0.16.0 by importing renamed CamelCase Config classes #13304

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fix: support torchao >= 0.16.0 by importing renamed CamelCase Config classes #13304

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34 changes: 24 additions & 10 deletions src/diffusers/quantizers/quantization_config.py
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Original file line number Diff line number Diff line change
Expand Up @@ -626,16 +626,30 @@ def _get_torchao_quant_type_to_method(cls):

if is_torchao_available():
# TODO(aryan): Support sparsify
from torchao.quantization import (
float8_dynamic_activation_float8_weight,
float8_static_activation_float8_weight,
float8_weight_only,
int4_weight_only,
int8_dynamic_activation_int4_weight,
int8_dynamic_activation_int8_weight,
int8_weight_only,
uintx_weight_only,
)
# torchao >= 0.16.0 renamed snake_case functions to CamelCase Config classes.
# Use the new API when available, falling back to the old API for older versions.
if is_torchao_version(">=", "0.16.0"):
from torchao.quantization import (
Float8DynamicActivationFloat8WeightConfig as float8_dynamic_activation_float8_weight,
Float8StaticActivationFloat8WeightConfig as float8_static_activation_float8_weight,
Float8WeightOnlyConfig as float8_weight_only,
Int4WeightOnlyConfig as int4_weight_only,
Int8DynamicActivationInt4WeightConfig as int8_dynamic_activation_int4_weight,
Int8DynamicActivationInt8WeightConfig as int8_dynamic_activation_int8_weight,
Int8WeightOnlyConfig as int8_weight_only,
UIntXWeightOnlyConfig as uintx_weight_only,
)
else:
from torchao.quantization import (
float8_dynamic_activation_float8_weight,
float8_static_activation_float8_weight,
float8_weight_only,
int4_weight_only,
int8_dynamic_activation_int4_weight,
int8_dynamic_activation_int8_weight,
int8_weight_only,
uintx_weight_only,
)

if is_torchao_version("<=", "0.14.1"):
from torchao.quantization import fpx_weight_only
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