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20 changes: 12 additions & 8 deletions modelopt/torch/quantization/model_calib.py
Original file line number Diff line number Diff line change
Expand Up @@ -751,14 +751,18 @@ def postprocess(module, name):
delattr(module.weight_quantizer, "_pre_quant_scale")
if hasattr(module.input_quantizer, "_pre_quant_scale"):
delattr(module.input_quantizer, "_pre_quant_scale")
if module.awq_lite.is_input_quantized and module.input_quantizer.amax is not None:
act_amax = module.input_quantizer.amax
# TODO: make this a buffer after we support only heterogeneous checkpointing for MCore
module.input_quantizer._amax_for_smoothing = act_amax.cpu()
module.input_quantizer.reset_amax()
module.input_quantizer.axis = None
module.input_quantizer.amax = act_amax.amax()
module.input_quantizer.enable()
if module.awq_lite.is_input_quantized:
if module.input_quantizer.amax is not None:
act_amax = module.input_quantizer.amax
# TODO: make this a buffer after we support only heterogeneous checkpointing for MCore
module.input_quantizer._amax_for_smoothing = act_amax.cpu()
module.input_quantizer.reset_amax()
module.input_quantizer.axis = None
module.input_quantizer.amax = act_amax.amax()
module.input_quantizer.enable()
# for dynamic quantization, there is no amax, so we just enable the quantizer
else:
module.input_quantizer.enable()

if module.awq_lite.is_enabled:
apply_pre_quant_scale_and_smooth(module, 1.0 / module.awq_lite.best_scale)
Expand Down