Update OpenVINO version (#2851)

### Changes

- Updated OpenVINO version to 24.3.

### Reason for changes

- Upcoming release.

### Related tickets

- 146856

### Tests

- Manual testing

constraints.txt

@@ -1,5 +1,5 @@
 # Openvino
-openvino==2024.2.0
+openvino==2024.3.0
 
 # Pytorch
 torch==2.3.0

docs/Installation.md

@@ -43,7 +43,8 @@ as well as the supported versions of Python:
 
 | NNCF      | OpenVINO   | PyTorch  | ONNX     | TensorFlow | Python |
 |-----------|------------|----------|----------|------------|--------|
-| `develop` | `2024.2.0` | `2.3.0`  | `1.16.0` | `2.15.1`   | `3.8`* |
+| `develop` | `2024.3.0` | `2.3.0`  | `1.16.0` | `2.15.1`   | `3.8`* |
+| `2.12.0`  | `2024.3.0` | `2.3.0`  | `1.16.0` | `2.15.1`   | `3.8`* |
 | `2.11.0`  | `2024.2.0` | `2.3.0`  | `1.16.0` | `2.12.0`   | `3.8`  |
 | `2.10.0`  | `2024.1.0` | `2.2.1`  | `1.16.0` | `2.12.0`   | `3.8`  |
 | `2.9.0`   | `2024.0.0` | `2.1.2`  | `1.13.1` | `2.12.0`   | `3.8`  |

examples/llm_compression/openvino/tiny_llama_find_hyperparams/requirements.txt

@@ -1,6 +1,6 @@
 datasets
 whowhatbench @ git+https://github.com/andreyanufr/who_what_benchmark.git
 numpy>=1.23.5
-openvino==2024.2
+openvino==2024.3
 optimum-intel[openvino]>=1.13.0
 transformers>=4.35.2

examples/post_training_quantization/onnx/mobilenet_v2/requirements.txt

@@ -4,4 +4,4 @@ scikit-learn
 fastdownload
 onnx==1.16.0
 onnxruntime==1.17.1
-openvino==2024.2
+openvino==2024.3

examples/post_training_quantization/onnx/yolov8_quantize_with_accuracy_control/requirements.txt

@@ -1,3 +1,3 @@
 ultralytics==8.0.170
 onnx==1.16.0
-openvino==2024.2
+openvino==2024.3

examples/post_training_quantization/openvino/anomaly_stfpm_quantize_with_accuracy_control/requirements.txt

@@ -1,2 +1,2 @@
 anomalib==0.6.0
-openvino==2024.2
+openvino==2024.3

examples/post_training_quantization/openvino/mobilenet_v2/requirements.txt

@@ -2,4 +2,4 @@ torchvision
 tqdm
 scikit-learn
 fastdownload
-openvino==2024.2
+openvino==2024.3

examples/post_training_quantization/openvino/yolov8/requirements.txt

@@ -1,3 +1,3 @@
 ultralytics==8.0.170
 onnx>=1.12.0
-openvino==2024.2
+openvino==2024.3

examples/post_training_quantization/openvino/yolov8_quantize_with_accuracy_control/requirements.txt

@@ -1,3 +1,3 @@
 ultralytics==8.0.170
 onnx>=1.12.0
-openvino==2024.2
+openvino==2024.3

examples/post_training_quantization/tensorflow/mobilenet_v2/requirements.txt

@@ -2,4 +2,4 @@ tensorflow~=2.12.0; python_version < '3.9'
 tensorflow~=2.15.1; python_version >= '3.9'
 tensorflow-datasets
 tqdm
-openvino==2024.2
+openvino==2024.3

examples/post_training_quantization/torch/mobilenet_v2/requirements.txt

@@ -1,5 +1,5 @@
 fastdownload==0.0.7
-openvino==2024.2
+openvino==2024.3
 scikit-learn
 torch==2.3.0
 torchvision==0.18.0

examples/post_training_quantization/torch/ssd300_vgg16/requirements.txt

@@ -1,6 +1,6 @@
 fastdownload==0.0.7
 onnx==1.16.0
-openvino==2024.2
+openvino==2024.3
 pycocotools==2.0.7
 torch==2.3.0
 torchmetrics==1.0.1

examples/quantization_aware_training/torch/resnet18/requirements.txt

@@ -1,4 +1,4 @@
 fastdownload==0.0.7
-openvino==2024.2
+openvino==2024.3
 torch==2.3.0
 torchvision==0.18.0