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Fix weight loading of weight_g_idx compressed-tensors parameters #35741

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dsikka wants to merge 3 commits into from
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Fix weight loading of weight_g_idx compressed-tensors parameters #35741

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6e20e95
fix weight_g key
dsikka Dec 23, 2024
1f6ed71
style
dsikka Jan 16, 2025
3f7fbcc
Merge branch 'main' into fix_weightg_fix
dsikka Jan 17, 2025
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8 changes: 8 additions & 0 deletions src/transformers/quantizers/quantizer_compressed_tensors.py
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Original file line number Diff line number Diff line change
Expand Up @@ -49,6 +49,11 @@ def __init__(self, quantization_config: CompressedTensorsConfig, **kwargs):
self.compressor = ModelCompressor.from_compression_config(quantization_config)
self.run_compressed = quantization_config.run_compressed
self.quantization_config = quantization_config
self.weight_norm = None
# temporarily workaround to skip weight_norm key fixing
if hasattr(torch.nn.utils.parametrizations, "weight_norm"):
self.weight_norm = torch.nn.utils.parametrizations.weight_norm
delattr(torch.nn.utils.parametrizations, "weight_norm")

def validate_environment(self, *args, **kwargs):
if not is_compressed_tensors_available():
Expand Down Expand Up @@ -82,6 +87,9 @@ def _process_model_before_weight_loading(self, model, **kwargs):

def _process_model_after_weight_loading(self, model, **kwargs):
"""Decompress loaded model if necessary - need for qat"""
# enable post loading
if self.weight_norm:
setattr(torch.nn.utils.parametrizations, "weight_norm", self.weight_norm)

if (self.is_quantization_compressed and not self.run_compressed) or self.is_sparsification_compressed:
config = kwargs.get("config", None)
Expand Down