[OpenVINO backend] support export model from the supported backends to openvino format #21486

Mohamed-Ashraf273 · 2025-07-16T10:50:54Z

@rkazants
@fchollet
Implement a logic in Keras that allows to serialize a model loaded in backends (tensorflow, jax, torch and openvino) into IR on a disk

import os
os.environ["CUDA_VISIBLE_DEVICES"] = "-1"
os.environ["KERAS_BACKEND"] = "backend" # -> backend required
import numpy as np
from keras.src import layers, models
import openvino as ov

# Build a simple sequential model
model = models.Sequential([
    layers.Dense(4, activation="relu", input_shape=(5,)),
    layers.Dense(2, activation="sigmoid"),
])
# Prepare input
x = np.random.normal(size=(2, 5)).astype("float32")
# Get reference output
ref_output = model(x)
# Export model
temp_filepath = "temp_exported_model.xml"
model.export(temp_filepath, format="openvino")

core = ov.Core()
ov_model = core.read_model(temp_filepath)
compiled_model = core.compile_model(ov_model, "CPU")
x = np.random.normal(size=(1, 5)).astype("float32")
ov_output = compiled_model([x])[0]
print(ov_output)

gemini-code-assist

Summary of Changes

Hello @Mohamed-Ashraf273, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces the capability to export Keras models to the OpenVINO Intermediate Representation (IR) format. This new functionality allows users to serialize Keras models, regardless of the backend they were loaded with, into a format optimized for OpenVINO inference.

Highlights

New Export Format: Introduced 'openvino' as a new supported format for the model.export() method, allowing Keras models to be serialized into OpenVINO Intermediate Representation (IR).
OpenVINO Export Logic: Implemented a dedicated export_openvino function that handles the conversion of Keras models to OpenVINO IR. This function intelligently adapts its conversion strategy based on the active Keras backend (e.g., direct conversion for TensorFlow, or via a temporary tf_saved_model for JAX/Torch).
Backend Compatibility: The new OpenVINO export functionality supports models originating from OpenVINO, TensorFlow, JAX, and Torch backends, providing a unified way to generate OpenVINO IR from Keras models.

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gemini-code-assist

Code Review

This pull request introduces the capability to export Keras models to the OpenVINO format. I've identified a few issues in the export_openvino function related to the OpenVINO backend export logic and file path handling for the JAX and Torch backends. Addressing these points will help ensure the new feature is robust and works as expected across all supported backends.

keras/src/export/openvino.py

codecov-commenter · 2025-07-16T10:57:00Z

Codecov Report

Attention: Patch coverage is 81.72043% with 17 lines in your changes missing coverage. Please review.

Project coverage is 82.90%. Comparing base (d55a767) to head (0166bd6).
Report is 12 commits behind head on master.

Files with missing lines	Patch %	Lines
keras/src/export/openvino.py	84.88%	4 Missing and 9 partials ⚠️
keras/src/backend/openvino/core.py	0.00%	1 Missing and 1 partial ⚠️
keras/src/models/model.py	50.00%	2 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master   #21486      +/-   ##
==========================================
+ Coverage   82.81%   82.90%   +0.09%     
==========================================
  Files         565      566       +1     
  Lines       55520    55892     +372     
  Branches     8664     8724      +60     
==========================================
+ Hits        45977    46337     +360     
  Misses       7428     7428              
- Partials     2115     2127      +12

Flag	Coverage Δ
keras	`82.70% <77.41%> (+0.08%)`	⬆️
keras-jax	`64.02% <37.63%> (+0.63%)`	⬆️
keras-numpy	`58.51% <13.97%> (-0.08%)`	⬇️
keras-openvino	`34.62% <52.68%> (+0.63%)`	⬆️
keras-tensorflow	`64.44% <33.33%> (+0.60%)`	⬆️
keras-torch	`64.09% <35.48%> (+0.58%)`	⬆️

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Mohamed-Ashraf273 · 2025-07-16T16:10:54Z

/gemini review

gemini-code-assist

Code Review

This pull request introduces the export_openvino function, enabling Keras models to be exported to the OpenVINO format. The implementation supports direct export when using the OpenVINO backend, and conversion from other backends like TensorFlow, JAX, and Torch. The review focuses on improving code clarity and robustness.

keras/src/export/openvino.py

Mohamed-Ashraf273 · 2025-07-16T23:12:55Z

/gemini review

gemini-code-assist

Code Review

This pull request introduces a valuable new feature: the ability to export Keras models to the OpenVINO format, enabling optimized inference on Intel hardware. I've identified a high-severity issue in how dynamic shapes are handled, and a minor redundancy in the export logic and a duplicated line in the new tests. Addressing these points will enhance the correctness and quality of this new feature.

keras/src/export/openvino.py

gemini-code-assist · 2025-07-16T23:14:08Z

keras/src/export/openvino_test.py

+        larger_input_y = np.concatenate([ref_input_y, ref_input_y], axis=0)
+        compiled_model([larger_input_x, larger_input_y])


These two lines appear to be a copy-paste error, as they duplicate the logic from the preceding lines (227-228). The redundant creation of larger_input_y and the second call to compiled_model can be removed to clean up the test.

Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

rkazants · 2025-07-17T16:58:25Z

keras/src/export/openvino.py

+    elif backend.backend() == "tensorflow":
+        import tempfile
+
+        with tempfile.TemporaryDirectory() as temp_dir:
+            model.export(temp_dir, format="tf_saved_model")
+            ov_model = ov.convert_model(temp_dir)
+    else:
+        raise NotImplementedError(
+            "`export_openvino` is only compatible with OpenVINO and "
+            "TensorFlow backends."
+        )


not sure, why do we need it here?

If the model is loaded in tf backend and the user needs to convert it to OpenVINO IR.

ov.convert_model supports conversion of TF object from memory as well. Will it work?

No, it doesn't work in our case because the model has dynamic input shapes and no example_input is passed. This causes ov.convert_model to fail with a ValueError related to unknown TensorShape. Exporting to a SavedModel first resolves this by providing concrete input signatures.

If the example_input is the only blocker, we can use convert_spec_to_tensor to create a dummy input.

Ref: https://github.com/keras-team/keras/blob/master/keras/src/export/onnx.py#L91-L95

You're right that convert_spec_to_tensor() can provide a dummy input which already is being used via OpenVINO backend, but the issue here isn’t just about having any input, it’s about the shape of that input.
In our case, the model was traced with a specific shape, and later we ran inference with a different shape, which caused a mismatch error in OpenVINO.
It might be solvable in more complex ways, or like how onnx did in TensorFlow part, but for OpenVINO, I think exporting to tf_saved_model first is the safest and easiest method.

rkazants

@fchollet, looks good to me. Recommend to merge.

…vino format

Mohamed-Ashraf273 · 2025-07-22T16:36:13Z

@rkazants
@fchollet
I've supported all backends, including torch and jax. Also I avoided loading the model on disk in case of tf, and now it is ready for review.

Mohamed-Ashraf273 · 2025-07-22T16:39:27Z

/gemini review

gemini-code-assist

Code Review

This pull request introduces support for exporting Keras models to the OpenVINO format, which is a great addition for inference on Intel hardware. The implementation handles conversions from TensorFlow, JAX, Torch, and the native OpenVINO backends. The code includes tests for various model architectures and input structures.

keras/src/export/openvino.py

keras/src/export/openvino_test.py

fchollet · 2025-07-24T20:34:47Z

keras/src/export/openvino.py

+        model inputs. If not provided, it will be inferred.
+        **kwargs: Additional keyword arguments (currently unused).
+     Example:
+        import keras


Please use a code block (and no starting indent) for the code example

keras/src/export/openvino.py

fchollet

Looks good, thank you!

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[OpenVINO backend] suppor export model using openvino format

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Mohamed-Ashraf273 force-pushed the support_export branch from 6927a53 to b6d1663 Compare July 16, 2025 17:21

add export for openvino backend

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Mohamed-Ashraf273 force-pushed the support_export branch 7 times, most recently from 8fa393e to 107254f Compare July 16, 2025 21:18

adding tests for openvino export format

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fix dynamic shape handling

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Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

Mohamed-Ashraf273 changed the title ~~[OpenVINO backend] suppor export model using openvino format~~ [OpenVINO backend] support export model using openvino format Jul 16, 2025

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add support for jax backend and avoid to load models on disc for open…

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…vino format

support exporting torch backend to openvino format

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Mohamed-Ashraf273 force-pushed the support_export branch from 7329129 to 8af753a Compare July 22, 2025 16:11

avoid core dumps by jax

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Mohamed-Ashraf273 added 2 commits July 22, 2025 19:43

remove redundant code

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fix typo

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Mohamed-Ashraf273 changed the title ~~[OpenVINO backend] support export model using openvino format~~ [OpenVINO backend] support export model from the supported backends to openvino format Jul 22, 2025

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fix example format

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fchollet merged commit 77883ff into keras-team:master Jul 24, 2025
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Mohamed-Ashraf273 deleted the support_export branch July 24, 2025 22:06

Mohamed-Ashraf273 mentioned this pull request Jul 28, 2025

[DOC] Export Keras 3 Model to OpenVINO IR openvinotoolkit/openvino#31502

Open

		larger_input_y = np.concatenate([ref_input_y, ref_input_y], axis=0)
		compiled_model([larger_input_x, larger_input_y])

[OpenVINO backend] support export model from the supported backends to openvino format #21486

[OpenVINO backend] support export model from the supported backends to openvino format #21486

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