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diff --git a/python/openvino/runtime/common/models/src/model_base.cpp b/python/openvino/runtime/common/models/src/model_base.cpp
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+++ b/python/openvino/runtime/common/models/src/model_base.cpp
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+/*
+// Copyright (C) 2021-2022 Intel Corporation
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+*/
+
+#include "models/model_base.h"
+
+#include <utility>
+
+#include <openvino/openvino.hpp>
+
+#include <utils/common.hpp>
+#include <utils/config_factory.h>
+#include <utils/ocv_common.hpp>
+#include <utils/slog.hpp>
+
+std::shared_ptr<ov::Model> ModelBase::prepareModel(ov::Core& core) {
+    // --------------------------- Read IR Generated by ModelOptimizer (.xml and .bin files) ------------
+    /** Read model **/
+    slog::info << "Reading model " << modelFileName << slog::endl;
+    std::shared_ptr<ov::Model> model = core.read_model(modelFileName);
+    logBasicModelInfo(model);
+    // -------------------------- Reading all outputs names and customizing I/O tensors (in inherited classes)
+    prepareInputsOutputs(model);
+
+    /** Set batch size to 1 **/
+    ov::set_batch(model, 1);
+
+    return model;
+}
+
+ov::CompiledModel ModelBase::compileModel(const ModelConfig& config, ov::Core& core) {
+    this->config = config;
+    auto model = prepareModel(core);
+    compiledModel = core.compile_model(model, config.deviceName, config.compiledModelConfig);
+    logCompiledModelInfo(compiledModel, modelFileName, config.deviceName);
+    return compiledModel;
+}
+
+ov::Layout ModelBase::getInputLayout(const ov::Output<ov::Node>& input) {
+    const ov::Shape& inputShape = input.get_shape();
+    ov::Layout layout = ov::layout::get_layout(input);
+    if (layout.empty()) {
+        if (inputsLayouts.empty()) {
+            layout = getLayoutFromShape(inputShape);
+            slog::warn << "Automatically detected layout '" << layout.to_string() << "' for input '"
+                       << input.get_any_name() << "' will be used." << slog::endl;
+        } else if (inputsLayouts.size() == 1) {
+            layout = inputsLayouts.begin()->second;
+        } else {
+            layout = inputsLayouts[input.get_any_name()];
+        }
+    }
+
+    return layout;
+}