From d93edd41b26aee889799284937521234bfb241d0 Mon Sep 17 00:00:00 2001
From: Rajesh Gangireddy <rajesh.gangireddy@intel.com>
Date: Mon, 12 May 2025 20:44:56 +0200
Subject: [PATCH 1/3] update openvino.runtime imports

---
 docs/source/markdown/guides/how_to/models/post_processor.md | 2 +-
 src/anomalib/deploy/inferencers/openvino_inferencer.py      | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/source/markdown/guides/how_to/models/post_processor.md b/docs/source/markdown/guides/how_to/models/post_processor.md
index df86001c83..d2b57aaa22 100644
--- a/docs/source/markdown/guides/how_to/models/post_processor.md
+++ b/docs/source/markdown/guides/how_to/models/post_processor.md
@@ -144,7 +144,7 @@ One key advantage of Anomalib's post-processor design is that it becomes part of
 ```python
 from anomalib.models import Patchcore
 from anomalib.post_processing import PostProcessor
-from openvino.runtime import Core
+from openvino import Core
 import numpy as np
 
 # Training: Post-processor is part of the model
diff --git a/src/anomalib/deploy/inferencers/openvino_inferencer.py b/src/anomalib/deploy/inferencers/openvino_inferencer.py
index 1327efeb1e..dd4292dc45 100644
--- a/src/anomalib/deploy/inferencers/openvino_inferencer.py
+++ b/src/anomalib/deploy/inferencers/openvino_inferencer.py
@@ -56,7 +56,7 @@
 import numpy as np
 import torch
 from lightning_utilities.core.imports import module_available
-from openvino.runtime.utils.data_helpers.wrappers import OVDict
+from openvino.utils.data_helpers.wrappers import OVDict
 from PIL.Image import Image as PILImage
 
 from anomalib.data import NumpyImageBatch

From de3795916a766ec006bf24723bd3f24d0ab4921d Mon Sep 17 00:00:00 2001
From: Rajesh Gangireddy <rajesh.gangireddy@intel.com>
Date: Mon, 12 May 2025 21:09:33 +0200
Subject: [PATCH 2/3] Update pyproject.toml

---
 pyproject.toml | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index bce9bc0516..8ef17559ab 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -52,10 +52,7 @@ core = [
     "lightning>=2.2",
     "torch>=2",
     "torchmetrics>=1.3.2",
-    # NOTE: open-clip-torch throws the following error on v2.26.1
-    #   torch.onnx.errors.UnsupportedOperatorError: Exporting the operator
-    #   'aten::_native_multi_head_attention' to ONNX opset version 14 is not supported
-    "open-clip-torch>=2.23.0,<2.26.1",
+    "open-clip-torch>=2.32.0",
     "fvcore",
 ]
 openvino = ["openvino>=2024.0", "nncf>=2.10.0", "onnx>=1.16.0"]

From 00801ad24accc5ad0e3ff52967f88fd1d98aa6bd Mon Sep 17 00:00:00 2001
From: Rajesh Gangireddy <rajesh.gangireddy@intel.com>
Date: Tue, 13 May 2025 17:21:33 +0200
Subject: [PATCH 3/3] Update   torch.onnx.export to use dynamo

---
 src/anomalib/models/components/base/export_mixin.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/src/anomalib/models/components/base/export_mixin.py b/src/anomalib/models/components/base/export_mixin.py
index c8f807b469..310721d884 100644
--- a/src/anomalib/models/components/base/export_mixin.py
+++ b/src/anomalib/models/components/base/export_mixin.py
@@ -159,6 +159,7 @@ def to_onnx(
             dynamic_axes=dynamic_axes,
             input_names=["input"],
             output_names=output_names,
+            dynamo=True,
         )
 
         return onnx_path