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disable itrex format first #998

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disable itrex format first #998

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7d34e57
disable itrex format first
WeiweiZhang1 Nov 6, 2025
8dc5c90
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Nov 6, 2025
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2 changes: 0 additions & 2 deletions auto_round/utils/common.py
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Original file line number Diff line number Diff line change
Expand Up @@ -88,8 +88,6 @@ def __init__(self):
"auto_round:gptqmodel",
"auto_round:auto_awq",
"auto_round:llm_compressor",
"itrex",
"itrex_xpu",
"fake",
"llm_compressor",
)
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8 changes: 0 additions & 8 deletions auto_round_extension/qbits/qlinear_qbits.py
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Expand Up @@ -92,14 +92,6 @@ def req_check(self):
torch_version = str(torch.__version__)
if QBITS_AVAILABLE:
pass
# import intel_extension_for_transformers
# itrex_version = str(intel_extension_for_transformers.__version__)
# version_match_map = {"1.4": "2.2.0+cpu",
# "1.4.1": "2.2.0+cpu", "1.4.2": "2.3.0+cpu"}
# if itrex_version in version_match_map:
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@wenhuach21 wenhuach21 Nov 7, 2025

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why delete this

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@WeiweiZhang1 WeiweiZhang1 Nov 7, 2025

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I thought this was useless. can be reverted if needed

# if torch_version != version_match_map[itrex_version]:
# logger.warning(
# f"Please install torch {version_match_map[itrex_version]} by command 'pip install torch=={version_match_map[itrex_version]} --extra-index-url https://download.pytorch.org/whl/cpu' as Intel Extension for Transformers {itrex_version} is not compatible with current torch.")
else:
logger.error(
"Please install Intel Extension for Transformers by running 'pip install intel-extension-for-transformers' as qbits linear requirements checking fail. "
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8 changes: 0 additions & 8 deletions auto_round_extension/qbits/qlinear_qbits_gptq.py
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Expand Up @@ -92,14 +92,6 @@ def req_check(self):
torch_version = str(torch.__version__)
if QBITS_AVAILABLE:
pass
# import intel_extension_for_transformers
# itrex_version = str(intel_extension_for_transformers.__version__)
# version_match_map = {"1.4": "2.2.0+cpu",
# "1.4.1": "2.2.0+cpu", "1.4.2": "2.3.0+cpu"}
# if itrex_version in version_match_map:
# if torch_version != version_match_map[itrex_version]:
# logger.warning(
# f"Please install torch {version_match_map[itrex_version]} by command 'pip install torch=={version_match_map[itrex_version]} --extra-index-url https://download.pytorch.org/whl/cpu' as Intel Extension for Transformers {itrex_version} is not compatible with current torch.")
else:
logger.error(
"Please install Intel Extension for Transformers by running 'pip install intel-extension-for-transformers' as qbits linear requirements checking fail. "
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22 changes: 0 additions & 22 deletions test/test_cpu/test_autoround.py
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Expand Up @@ -162,28 +162,6 @@ def test_nv_fp4(self):
print(result["results"]["lambada_openai"]["acc,none"])
self.assertGreater(result["results"]["lambada_openai"]["acc,none"], 0.35)

def test_default(self):
bits, group_size, sym = 4, 128, False
autoround = AutoRound(
self.model,
self.tokenizer,
bits=bits,
group_size=group_size,
sym=sym,
iters=2,
seqlen=2,
dataset=self.llm_dataloader,
)
autoround.quantize()

autoround.save_quantized(output_dir="./saved", inplace=False, format="itrex")
try:
import auto_gptq
except:
return
if torch.cuda.is_available():
autoround.save_quantized(output_dir="./saved", inplace=False)

def test_w4g1(self):
model_name = "/tf_dataset/auto_round/models/facebook/opt-125m"
bits, group_size, sym = 4, -1, True
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1 change: 0 additions & 1 deletion test/test_cpu/test_autoround_acc.py
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Expand Up @@ -13,7 +13,6 @@
from transformers import AutoModelForCausalLM, AutoTokenizer

from auto_round import AutoRound # pylint: disable=E0401
from auto_round.export.export_to_itrex.export import pack_model # pylint: disable=E0401


class LLMDataLoader:
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