Upgrade OpenVINO to 2024.4 (#72)

* Upgrade OpenVINO to 2024.4

* Update change log

* Update func test xfail

Author: Songki Choi

CHANGELOG.md

@@ -8,7 +8,7 @@
 * Support OpenVINO IR (.xml) / ONNX (.onnx) model files for `Explainer`
 * Enable AISE method: Adaptive Input Sampling for Explanation of Black-box Models
 * Add Pointing Game, Insertion-Deletion AUC and ADCC quality metrics for saliency maps
-* Upgrade OpenVINO to 2024.3.0
+* Upgrade OpenVINO to 2024.4.0
 * Add saliency map visualization with explanation.plot()
 * Enable flexible naming for saved saliency maps and include confidence scores
 * Add XAI method documentation
@@ -32,6 +32,7 @@
 * Add documentation per-method, including summary and usage guide by @negvet in https://github.com/openvinotoolkit/openvino_xai/pull/63
 * Support Pytorch models for `insert_xai` API by @goodsong81 in https://github.com/openvinotoolkit/openvino_xai/pull/61
 * Auto-detect feature layer for Pytorch models by @goodsong81 in https://github.com/openvinotoolkit/openvino_xai/pull/64
+* Upgrade OpenVINO to 2024.4.0 by @goodsong81 in https://github.com/openvinotoolkit/openvino_xai/pull/72
 
 ### Known Issues
 

README.md

@@ -8,10 +8,10 @@
 [Install](#installation) •
 [Quick Start](#quick-start) •
 [License](#license) •
-[Documentation](https://openvinotoolkit.github.io/openvino_xai/releases/1.0.0)
+[Documentation](https://openvinotoolkit.github.io/openvino_xai/releases/1.1.0)
 
 ![Python](https://img.shields.io/badge/python-3.10%2B-green)
-[![OpenVINO](https://img.shields.io/badge/openvino-2024.2-purple)](https://pypi.org/project/openvino/)
+[![OpenVINO](https://img.shields.io/badge/openvino-2024.4-purple)](https://pypi.org/project/openvino/)
 [![codecov](https://codecov.io/gh/openvinotoolkit/openvino_xai/graph/badge.svg?token=NR0Z0CWDK9)](https://codecov.io/gh/openvinotoolkit/openvino_xai)
 [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
 [![PyPI](https://img.shields.io/pypi/v/openvino_xai)](https://pypi.org/project/openvino_xai)
@@ -57,7 +57,7 @@ for i, image in enumerate(images):
 * Support OpenVINO IR (.xml) / ONNX (.onnx) model files for `Explainer`
 * Enable AISE method: Adaptive Input Sampling for Explanation of Black-box Models
 * Add Pointing Game, Insertion-Deletion AUC and ADCC quality metrics for saliency maps
-* Upgrade OpenVINO to 2024.3.0
+* Upgrade OpenVINO to 2024.4.0
 * Add saliency map visualization with explanation.plot()
 * Enable flexible naming for saved saliency maps and include confidence scores
 

pyproject.toml

@@ -9,7 +9,7 @@ build-backend = "setuptools.build_meta"
 name = "openvino_xai"
 version = "1.1.0rc0"
 dependencies = [
-  "openvino-dev==2024.3",
+  "openvino-dev==2024.4",
   "opencv-python",
   "scipy",
   "numpy==1.*",

tests/func/test_classification_timm_full.py

@@ -32,6 +32,7 @@
 SUPPORTED_BUT_FAILED_BY_BB_MODELS = {}
 
 NOT_SUPPORTED_BY_BB_MODELS = {
+    "convit": "RuntimeError: Couldn't get TorchScript module by tracing.",
     "repvit": "urllib.error.HTTPError: HTTP Error 404: Not Found",
     "tf_efficientnet_cc": "torch.onnx.errors.SymbolicValueError: Unsupported: ONNX export of convolution for kernel of unknown shape.",
     "vit_base_r50_s16_224.orig_in21k": "RuntimeError: Error(s) in loading state_dict for VisionTransformer",