OV 2023.1.0 (openvinotoolkit#2037)

### Changes

Update nncf to use openvino==2023.1.0
- Deprecated message for `VPU` device
- Update reference files for `mobilenetv3` and `yolo-v4`
- Add `--compress_to_fp16=False` for the conversion function, since fp16
has become the default
- Remove `TargetDevice.VPU` for pot in tests
- Update threshold from `0.15` to `0.152` for 'test_ngraph_pruning',
because size of not pruned model was changed.

### Related tickets
113731

nncf/quantization/algorithms/algorithm.py

@@ -58,7 +58,7 @@ def get_statistic_points(self, model: TModel, graph: NNCFGraph) -> StatisticPoin
         """
         Returns statistic points, for which StatisticsCollector should collect statistics.
 
-        :param model: Model for statististics collection.
+        :param model: Model for statistics collection.
         :param graph: Model graph.
-        :retrun: Statistic points, for which StatisticsCollector should collect statistics.
+        :return: Statistic points, for which StatisticsCollector should collect statistics.
         """

nncf/quantization/algorithms/post_training/algorithm.py

@@ -13,6 +13,7 @@
 from typing import Callable, Dict, List, Optional, TypeVar
 
 from nncf import Dataset
+from nncf.common.deprecation import warning_deprecated
 from nncf.common.factory import NNCFGraphFactory
 from nncf.common.factory import StatisticsAggregatorFactory
 from nncf.common.graph.graph import NNCFGraph
@@ -88,6 +89,9 @@ def __init__(
         self.algorithms = []
         self.first_stage_algorithms: List[self.FirstStageAlgorithm] = []
 
+        if target_device is TargetDevice.VPU:
+            warning_deprecated("VPU device is deprecated and will no longer be supported in the future.")
+
         if advanced_parameters is None:
             advanced_parameters = AdvancedQuantizationParameters()
 

nncf/torch/model_creation.py

@@ -18,6 +18,7 @@
 
 from nncf.api.compression import CompressionAlgorithmController
 from nncf.common.compression import BaseCompressionAlgorithmController as BaseController
+from nncf.common.deprecation import warning_deprecated
 from nncf.common.logging import nncf_logger
 from nncf.common.utils.api_marker import api
 from nncf.common.utils.debug import set_debug_log_dir
@@ -105,6 +106,9 @@ def create_compressed_model(
             "is also re-created (via constructor call)."
         )
 
+    if config.get("target_device") == "VPU":
+        warning_deprecated("VPU device is deprecated and will no longer be supported in the future.")
+
     set_debug_log_dir(config.get("log_dir", "."))
 
     is_legacy_model_state_dict = (

nncf/torch/model_transformer.py

@@ -139,7 +139,7 @@ def update_fused_bias(target_node_name: str, new_bias: Tensor, model: NNCFNetwor
     :param new_bias: New bias value.
     :param model: The model.
     """
-    nncf_graph = model.get_graph()
+    nncf_graph = model.nncf.get_graph()
     fused_node = get_potential_fused_node(target_node_name, nncf_graph)
     if fused_node:
         target_node_name = fused_node.node_name
@@ -158,7 +158,7 @@ def extraction_potential_fused_modules(node_name: str, model: NNCFNetwork) -> nn
     :return nn.Sequential: Copy of the modules.
     """
     extracted_node_names = [node_name]
-    nncf_graph = model.get_graph()
+    nncf_graph = model.nncf.get_graph()
     fused_node = get_potential_fused_node(node_name, nncf_graph)
     if fused_node:
         extracted_node_names.append(fused_node.node_name)