Skip to content

Commit e394866

Browse files
committed
fix ruff
1 parent 4acbb4e commit e394866

File tree

2 files changed

+5
-7
lines changed

2 files changed

+5
-7
lines changed

optimum/intel/openvino/modeling_diffusion.py

+3-5
Original file line numberDiff line numberDiff line change
@@ -35,6 +35,7 @@
3535
from diffusers.schedulers.scheduling_utils import SCHEDULER_CONFIG_NAME
3636
from diffusers.utils import CONFIG_NAME, is_invisible_watermark_available
3737
from huggingface_hub import snapshot_download
38+
from nncf import Dataset
3839
from openvino._offline_transformations import compress_model_transformation
3940
from openvino.runtime import Core
4041
from transformers import CLIPFeatureExtractor, CLIPTokenizer
@@ -341,13 +342,13 @@ def _from_pretrained(
341342

342343
def prepare_inputs(
343344
self,
344-
dataset: "Dataset",
345+
dataset: Dataset,
345346
subset_size: int,
346347
num_inference_steps: int,
347348
height: Optional[int] = 512,
348349
width: Optional[int] = 512,
349350
**kwargs,
350-
) -> "Dataset":
351+
) -> Dataset:
351352
self.compile()
352353
calibration_data = []
353354

@@ -359,9 +360,6 @@ def prepare_inputs(
359360
if len(calibration_data) >= subset_size:
360361
break
361362
self.unet.request = self.unet.request.request
362-
363-
from nncf import Dataset
364-
365363
return Dataset(calibration_data)
366364

367365
@classmethod

optimum/intel/openvino/quantization.py

+2-2
Original file line numberDiff line numberDiff line change
@@ -18,14 +18,14 @@
1818
import os
1919
from collections import deque
2020
from copy import deepcopy
21-
from datasets import load_dataset
2221
from pathlib import Path
2322
from typing import TYPE_CHECKING, Any, Callable, Dict, Optional, Tuple, Union
2423

2524
import nncf
2625
import openvino
2726
import torch
2827
import transformers
28+
from datasets import load_dataset
2929
from nncf import CompressWeightsMode, IgnoredScope, NNCFConfig, SensitivityMetric
3030
from nncf.quantization.advanced_parameters import AdvancedSmoothQuantParameters
3131
from nncf.torch import create_compressed_model, register_default_init_args, register_module
@@ -588,7 +588,7 @@ def _weight_only_quantization(
588588
# awq=config.quant_method == "awq", # TODO : remove and add it back once nncf v2.9.0
589589
ignored_scope=ignored_scope,
590590
dataset=dataset,
591-
subset_size=config.subset_size,
591+
# subset_size=config.subset_size, # TODO : enable from nncf v2.9.0
592592
)
593593

594594

0 commit comments

Comments
 (0)