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Torch replicate segfaults so let's default to simple copy #2015

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Merged
merged 1 commit into from
Oct 14, 2025
Merged

Torch replicate segfaults so let's default to simple copy #2015

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4 changes: 3 additions & 1 deletion gptqmodel/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,8 +5,10 @@

import os

from .utils.env import env_flag

DEBUG_ON = str(os.environ.get("DEBUG", "")).lower() in ("1", "true", "yes", "on")

DEBUG_ON = env_flag("DEBUG")

from .utils.threadx import DeviceThreadPool

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5 changes: 3 additions & 2 deletions gptqmodel/nn_modules/qlinear/__init__.py
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Expand Up @@ -19,6 +19,7 @@
from ...models._const import DEVICE, PLATFORM
from ...utils.backend import BACKEND
from ...utils.logger import setup_logger
from ...utils.env import env_flag
from ...utils.safe import THREADPOOLCTL


Expand Down Expand Up @@ -541,8 +542,8 @@ def pack_block(
if (in_features % word_bits) != 0:
raise ValueError("in_features must be divisible by 32")

disable_ext = os.getenv("GPTQMODEL_DISABLE_PACK_EXT", "").lower() in {"1", "true", "yes"}
force_ext = os.getenv("GPTQMODEL_FORCE_PACK_EXT", "").lower() in {"1", "true", "yes"}
disable_ext = env_flag("GPTQMODEL_DISABLE_PACK_EXT")
force_ext = env_flag("GPTQMODEL_FORCE_PACK_EXT")
pack_block_threads = workers if workers and workers > 0 else 1
env_threads = os.getenv("GPTQMODEL_PACK_THREADS")
if env_threads:
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6 changes: 5 additions & 1 deletion gptqmodel/utils/looper_helpers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,12 +15,15 @@
from .. import DEBUG_ON, DEVICE_THREAD_POOL
from ..nn_modules.hooked_linear import StopForward
from ..utils.attn_mask import normalize_seq_mask
from ..utils.env import env_flag
from ..utils.device import get_device
from ..utils.logger import setup_logger
from ..utils.model import move_to, nested_move_to
from ..utils.safe import ThreadSafe
from ..utils.torch import ALL_DEVICES, CPU, torch_sync

USE_TORCH_REPLICATE = env_flag("GPTQMODEL_USE_TORCH_REPLICATE")


_THREAD_SAFE_PARALLEL = ThreadSafe(torch_parallel)

Expand Down Expand Up @@ -261,7 +264,8 @@ def _prepare_module(target_device: torch.device, step_name: str) -> None:
_record(step_name, start_ts)

use_replicate = (
homogeneous_type
USE_TORCH_REPLICATE
and homogeneous_type
and backend_available(device_type)
and device_type != "cpu"
)
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