Fix imports

Author: nikita-savelyevv

notebooks/openvino/stable_diffusion_hybrid_quantization.ipynb

@@ -53,7 +53,7 @@
     "from pathlib import Path\n",
     "from openvino.runtime import Core\n",
     "from optimum.intel import OVConfig, OVQuantizer, OVStableDiffusionPipeline, OVWeightQuantizationConfig\n",
-    "from optimum.intel.openvino.quantization.configuration import OVQuantizationMethod\n",
+    "from optimum.intel.openvino.quantization import OVQuantizationMethod\n",
     "\n",
     "transformers.logging.set_verbosity_error()\n",
     "datasets.logging.set_verbosity_error()"

optimum/exporters/openvino/__main__.py

@@ -52,7 +52,7 @@
 FORCE_ATTN_MODEL_CLASSES = {"phi3-v": "eager", "gemma2": "sdpa"}
 
 if TYPE_CHECKING:
-    from optimum.intel.openvino.quantization.configuration import OVConfig
+    from optimum.intel.openvino.quantization import OVConfig
 
 
 if is_torch_available():

optimum/exporters/openvino/convert.py

@@ -90,7 +90,7 @@
 
 if TYPE_CHECKING:
     from optimum.exporters.onnx.base import OnnxConfig
-    from optimum.intel.openvino.quantization.configuration import OVConfig
+    from optimum.intel.openvino.quantization import OVConfig
 
 
 def _set_runtime_options(

optimum/intel/openvino/configuration.py

@@ -33,6 +33,6 @@
 logger = logging.getLogger(__name__)
 
 logger.warning(
-    "`optimum.intel.configuration` import path is deprecated and will be removed in optimum-intel v.1.26."
+    "`optimum.intel.configuration` import path is deprecated and will be removed in optimum-intel v1.25."
     "Please use `optimum.intel.quantization.configuration` instead."
 )

optimum/intel/openvino/quantization/calibration_dataset_builder.py

@@ -16,7 +16,6 @@
 import logging
 from typing import Any, Callable, Dict, List, Optional, Sized, Tuple, Union
 
-import nncf
 import openvino
 import requests
 import torch
@@ -40,6 +39,7 @@
     is_datasets_available,
     is_datasets_version,
     is_diffusers_available,
+    is_nncf_available,
 )
 
 from .configuration import OVQuantizationConfigBase
@@ -48,6 +48,9 @@
 if is_datasets_available():
     from datasets import Dataset
 
+if is_nncf_available():
+    import nncf
+
 logger = logging.getLogger(__name__)