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6 changes: 5 additions & 1 deletion setup.py
Original file line number Diff line number Diff line change
Expand Up @@ -133,7 +133,11 @@ def localversion_func(version: ScmVersion) -> str:
if BUILD_TYPE == "release"
else "accelerate>=1.6.0"
),
("pynvml>=11.5.3,<=13.0.1" if BUILD_TYPE == "release" else "pynvml>=11.5.3"),
(
"nvidia-ml-py>=12.560.30,<=13.580.82"
if BUILD_TYPE == "release"
else "nvidia-ml-py>=12.560.30"
),
("pillow>=10.4.0,<=11.3.0" if BUILD_TYPE == "release" else "pillow>=10.4.0"),
(
"compressed-tensors==0.11.0"
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10 changes: 6 additions & 4 deletions src/llmcompressor/modifiers/pruning/magnitude/base.py
Original file line number Diff line number Diff line change
Expand Up @@ -40,10 +40,12 @@ class MagnitudePruningModifier(Modifier, LayerParamMasking):

@field_validator("leave_enabled")
def validate_leave_enabled(value: bool) -> bool:
warnings.warn(
"MagnitudePruningModifier.leave_enable has been deprecated",
DeprecationWarning,
)
if value:
warnings.warn(
"MagnitudePruningModifier.leave_enabled has been deprecated "
"and will be set to False.",
DeprecationWarning,
)
return False

def on_initialize(self, state: State, **kwargs) -> bool:
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3 changes: 1 addition & 2 deletions src/llmcompressor/observers/base.py
Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,6 @@
)
from compressed_tensors.quantization.utils import is_fp4
from compressed_tensors.registry.registry import RegistryMixin
from compressed_tensors.utils import safe_permute
from loguru import logger
from torch import FloatTensor, IntTensor, Tensor

Expand Down Expand Up @@ -169,7 +168,7 @@ def get_qparams(
group_sizes = group_sizes[torch.argsort(group_indices)]

perm = torch.argsort(g_idx)
observed = safe_permute(observed, perm, dim=1)
observed = observed.index_select(dim=1, index=perm)

# TODO: experiment with vectorizing for loop for performance
end = 0
Expand Down