Update OpenVINO version (#2147)

### Changes - Updated OpenVINO version to 23.1
openvinotoolkit · Sep 21, 2023 · 28b524c · 28b524c
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Showing 12 changed files with 12 additions and 12 deletions.
diff --git a/examples/post_training_quantization/onnx/mobilenet_v2/requirements.txt b/examples/post_training_quantization/onnx/mobilenet_v2/requirements.txt
@@ -4,4 +4,4 @@ scikit-learn
 fastdownload
 onnx~=1.13.1
 onnxruntime~=1.14.1
-openvino-dev==2023.0.1
+openvino-dev==2023.1
diff --git a/...ining_quantization/openvino/anomaly_stfpm_quantize_with_accuracy_control/requirements.txt b/...ining_quantization/openvino/anomaly_stfpm_quantize_with_accuracy_control/requirements.txt
@@ -1,2 +1,2 @@
 anomalib==0.6.0
-openvino-dev==2023.0.1
+openvino-dev==2023.1
diff --git a/examples/post_training_quantization/openvino/mobilenet_v2/requirements.txt b/examples/post_training_quantization/openvino/mobilenet_v2/requirements.txt
@@ -2,4 +2,4 @@ torchvision
 tqdm
 scikit-learn
 fastdownload
-openvino-dev==2023.0.1
+openvino-dev==2023.1
diff --git a/examples/post_training_quantization/openvino/yolov8/requirements.txt b/examples/post_training_quantization/openvino/yolov8/requirements.txt
@@ -1,3 +1,3 @@
 ultralytics==8.0.170
 onnx>=1.12.0
-openvino-dev==2023.0.1
+openvino-dev==2023.1
diff --git a/...ost_training_quantization/openvino/yolov8_quantize_with_accuracy_control/requirements.txt b/...ost_training_quantization/openvino/yolov8_quantize_with_accuracy_control/requirements.txt
@@ -1,3 +1,3 @@
 ultralytics==8.0.170
 onnx>=1.12.0
-openvino-dev==2023.0.1
+openvino-dev==2023.1
diff --git a/examples/post_training_quantization/tensorflow/mobilenet_v2/requirements.txt b/examples/post_training_quantization/tensorflow/mobilenet_v2/requirements.txt
@@ -1,4 +1,4 @@
 tensorflow~=2.12.0
 tensorflow-datasets
 tqdm
-openvino-dev==2023.0.1
+openvino-dev==2023.0.2
diff --git a/examples/post_training_quantization/torch/mobilenet_v2/requirements.txt b/examples/post_training_quantization/torch/mobilenet_v2/requirements.txt
@@ -2,5 +2,5 @@ torchvision>=0.10.1,<0.16
 tqdm
 scikit-learn
 fastdownload
-openvino-dev==2023.0.1
+openvino-dev==2023.1
 onnx
diff --git a/examples/post_training_quantization/torch/ssd300_vgg16/requirements.txt b/examples/post_training_quantization/torch/ssd300_vgg16/requirements.txt
@@ -1,5 +1,5 @@
 fastdownload
-openvino-dev==2023.0.1
+openvino-dev==2023.1
 torchmetrics==1.0.1
 pycocotools
 torchvision~=0.15.1

diff --git a/setup.py b/setup.py
@@ -139,7 +139,7 @@ def find_version(*file_paths):
 
 ONNX_EXTRAS = ["onnx~=1.13.1", "onnxruntime~=1.14.1;python_version < '3.11'"]
 
-OPENVINO_EXTRAS = ["openvino==2023.0.1"]
+OPENVINO_EXTRAS = ["openvino==2023.1"]
 
 
 EXTRAS_REQUIRE = {

diff --git a/tests/onnx/benchmarking/requirements.txt b/tests/onnx/benchmarking/requirements.txt
@@ -1,2 +1,2 @@
 pycocotools
-openvino-dev==2023.0.1
+openvino-dev==2023.1
diff --git a/tests/onnx/requirements.txt b/tests/onnx/requirements.txt
@@ -5,7 +5,7 @@ pytest-ordering>=0.6
 torch~=1.13.0
 torchvision~=0.14.0
 yattag>=1.14.0
-openvino-dev==2023.0.1
+openvino-dev==2023.1
 fastdownload
 scikit-learn
 # Pandas requires it for styling in e2e report generation

diff --git a/tests/torch/requirements.txt b/tests/torch/requirements.txt
@@ -16,4 +16,4 @@ transformers[torch]~=4.30.0
 datasets~=2.12.0
 evaluate==0.3.0
 timm==0.9.2
-openvino-dev==2023.0.1
+openvino-dev==2023.1