[Release] Bump OV version (#3100)

### Changes

- As stated in the title

### Reason for changes

- Upcoming release

### Related tickets

- 157068

### Tests

- Release runs

constraints.txt

@@ -1,5 +1,5 @@
 # Openvino
-openvino==2024.4.0
+openvino==2024.5.0
 
 # Pytorch
 torch==2.5.1

docs/Installation.md

@@ -43,7 +43,8 @@ as well as the supported versions of Python:
 
 | NNCF      | OpenVINO   | PyTorch  | ONNX     | TensorFlow | Python |
 |-----------|------------|----------|----------|------------|--------|
-| `develop` | `2024.4.0` | `2.5.1`  | `1.17.0` | `2.15.1`   | `3.10` |
+| `develop` | `2024.5.0` | `2.5.1`  | `1.17.0` | `2.15.1`   | `3.10` |
+| `2.14.0`  | `2024.5.0` | `2.5.1`  | `1.17.0` | `2.15.1`   | `3.10` |
 | `2.13.0`  | `2024.4.0` | `2.4.0`  | `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`  |

examples/llm_compression/openvino/tiny_llama_find_hyperparams/requirements.txt

@@ -1,7 +1,7 @@
 datasets
 whowhatbench @ git+https://github.com/andreyanufr/who_what_benchmark.git
 numpy>=1.23.5
-openvino==2024.4
+openvino==2024.5
 optimum-intel[openvino]>=1.13.0
 transformers>=4.35.2
 onnx==1.17.0

examples/llm_compression/openvino/tiny_llama_synthetic_data/requirements.txt

@@ -1,7 +1,7 @@
 torch==2.5.1
 datasets==3.0.1
 numpy>=1.23.5
-openvino==2024.4
+openvino==2024.5
 optimum-intel[openvino]>=1.13.0
 transformers>=4.35.2
 onnx==1.17.0

examples/post_training_quantization/onnx/mobilenet_v2/requirements.txt

@@ -4,5 +4,5 @@ scikit-learn
 fastdownload
 onnx==1.17.0
 onnxruntime==1.19.2
-openvino==2024.4
+openvino==2024.5
 numpy<2

examples/post_training_quantization/onnx/yolov8_quantize_with_accuracy_control/requirements.txt

@@ -1,3 +1,3 @@
 ultralytics==8.3.22
 onnx==1.17.0
-openvino==2024.4
+openvino==2024.5

examples/post_training_quantization/openvino/anomaly_stfpm_quantize_with_accuracy_control/requirements.txt

@@ -1,4 +1,4 @@
 anomalib==0.6.0
-openvino==2024.4
+openvino==2024.5
 setuptools<=72.1.0
 numpy<2

examples/post_training_quantization/openvino/mobilenet_v2/requirements.txt

@@ -2,4 +2,4 @@ torchvision
 tqdm
 scikit-learn
 fastdownload
-openvino==2024.4
+openvino==2024.5

examples/post_training_quantization/openvino/yolov8/requirements.txt

@@ -1,3 +1,3 @@
 ultralytics==8.3.22
 onnx==1.17.0
-openvino==2024.4
+openvino==2024.5

examples/post_training_quantization/openvino/yolov8_quantize_with_accuracy_control/requirements.txt

@@ -1,3 +1,3 @@
 ultralytics==8.3.22
 onnx==1.17.0
-openvino==2024.4
+openvino==2024.5

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==2024.4
+openvino==2024.5

examples/post_training_quantization/torch/mobilenet_v2/requirements.txt

@@ -1,5 +1,5 @@
 fastdownload==0.0.7
-openvino==2024.4
+openvino==2024.5
 scikit-learn
 torch==2.5.1
 torchvision==0.20.1

examples/post_training_quantization/torch/ssd300_vgg16/requirements.txt

@@ -1,6 +1,6 @@
 fastdownload==0.0.7
 onnx==1.17.0
-openvino==2024.4
+openvino==2024.5
 pycocotools==2.0.7
 torch==2.5.1
 torchmetrics==1.0.1

examples/post_training_quantization/torch_fx/resnet18/requirements.txt

@@ -1,4 +1,4 @@
 fastdownload==0.0.7
-openvino==2024.4
+openvino==2024.5
 torch==2.5.1
 torchvision==0.20.1

examples/quantization_aware_training/torch/resnet18/requirements.txt

@@ -1,5 +1,5 @@
 fastdownload==0.0.7
-openvino==2024.4
+openvino==2024.5
 torch==2.5.1
 torchvision==0.20.1
 setuptools<=72.1.0