[Bug]: Convert to OpenVINO IR - Tensorflow sample code error

[bonihaniboni]

OpenVINO Version

202.0

Operating System

Windows System

Device used for inference

CPU

Framework

None

Model used

ResNet50

Issue description

When i try to use sample code

Run once

import openvino as ov
import tensorflow as tf

1. Convert model created with TF code

model = tf.keras.applications.resnet50.ResNet50(weights="imagenet")
ov_model = ov.convert_model(model)

2. Save model as OpenVINO IR

ov.save_model(ov_model, 'model.xml', compress_to_fp16=True) # enabled by default

Repeat as needed

import openvino as ov

3. Load model from file

core = ov.Core()
ov_model = core.read_model("model.xml")

4. Compile model from memory

compiled_model = ov.compile_model(ov_model)

but errors occurs
ValueError: Missing data for input "input_layer". You passed a data dictionary with keys ['keras_tensor']. Expected the following keys: ['input_layer']

Step-by-step reproduction

Run code below

Run once

import openvino as ov
import tensorflow as tf

1. Convert model created with TF code

model = tf.keras.applications.resnet50.ResNet50(weights="imagenet")
ov_model = ov.convert_model(model)

2. Save model as OpenVINO IR

ov.save_model(ov_model, 'model.xml', compress_to_fp16=True) # enabled by default

Repeat as needed

import openvino as ov

3. Load model from file

core = ov.Core()
ov_model = core.read_model("model.xml")

4. Compile model from memory

compiled_model = ov.compile_model(ov_model)

Relevant log output

Issue submission checklist

• I'm reporting an issue. It's not a question.
• I checked the problem with the documentation, FAQ, open issues, Stack Overflow, etc., and have not found a solution.
• There is reproducer code and related data files such as images, videos, models, etc.

[rkazants]

@bonihaniboni, thanks for this great catch.

Fix: #30096

Best regards,
Roman

[bonihaniboni]

Thanks for Intel Team's help