Add snippet of new functionality to docs

docs/articles_en/assets/snippets/ov_caching.cpp

@@ -90,14 +90,46 @@ auto compiled = core.compile_model(model, device, config);            // Step 5:
     }
 }
 
+
+void part5() {
+    std::string modelPath = "/tmp/myModel.xml";
+    std::string device = "GPU";
+    ov::Core core;                                           // Step 1: create ov::Core object
+    core.set_property(ov::cache_dir("/path/to/cache/dir"));  // Step 1b: Enable caching
+//! [ov:caching:part5]
+ov::AnyMap config;
+ov::EncryptionCallbacks encryption_callbacks;
+static const char codec_key[] = {0x30, 0x60, 0x70, 0x02, 0x04, 0x08, 0x3F, 0x6F, 0x72, 0x74, 0x78, 0x7F};
+auto codec_xor = [&](const std::string& source_str) {
+    auto key_size = sizeof(codec_key);
+    int key_idx = 0;
+    std::string dst_str = source_str;
+    for (char& c : dst_str) {
+        c ^= codec_key[key_idx % key_size];
+        key_idx++;
+    }
+    return dst_str;
+};
+encryption_callbacks.encrypt = codec_xor;
+encryption_callbacks.decrypt = codec_xor;
+config.insert(ov::cache_encryption_callbacks(encryption_callbacks));  // Step 4: Set device configuration
+config.insert(ov::cache_mode(ov::CacheMode::OPTIMIZE_SIZE));
+auto compiled = core.compile_model(modelPath, device, config);       // Step 5: LoadNetwork
+//! [ov:caching:part5]
+    if (!compiled) {
+        throw std::runtime_error("error");
+    }
+}
+
 int main() {
     try {
         part0();
         part1();
         part2();
         part3();
         part4();
+        part5();
     } catch (...) {
     }
     return 0;
-}
+}

docs/articles_en/assets/snippets/ov_caching.py

@@ -59,3 +59,20 @@ def decrypt_base64(src):
 model = core.read_model(model=model_path)
 compiled_model = core.compile_model(model=model, device_name=device_name, config=config_cache)
 # ! [ov:caching:part4]
+
+# ! [ov:caching:part5]
+import base64
+
+def encrypt_base64(src):
+    return base64.b64encode(bytes(src, "utf-8"))
+
+def decrypt_base64(src):
+    return base64.b64decode(bytes(src, "utf-8"))
+
+core = ov.Core()
+core.set_property({props.cache_dir: path_to_cache_dir})
+config_cache = {}
+config_cache["CACHE_ENCRYPTION_CALLBACKS"] = [encrypt_base64, decrypt_base64]
+config_cache["CACHE_MODE"] = "OPTIMIZE_SIZE"
+compiled_model = core.compile_model(model=model_path, device_name='GPU', config=config_cache)
+# ! [ov:caching:part5]

docs/articles_en/openvino-workflow/running-inference/optimize-inference/optimizing-latency/model-caching-overview.rst

@@ -139,7 +139,7 @@ To check in advance if a particular device supports model caching, your applicat
 Set "cache_encryption_callbacks" config option to enable cache encryption
 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 
-If model caching is enabled, the model topology can be encrypted when saving to the cache and decrypted when loading from the cache. This property can currently be set only in ``compile_model``.
+If model caching is enabled in CPU Plugin, the model topology can be encrypted when saving to the cache and decrypted when loading from the cache. This property can currently be set only in ``compile_model``.
 
 .. tab-set::
 
@@ -157,6 +157,24 @@ If model caching is enabled, the model topology can be encrypted when saving to
          :language: cpp
          :fragment: [ov:caching:part4]
 
+If model caching is enabled in GPU Plugin, everything can be encrypted when saving to the cache and decrypted when loading from the cache. This property only works when ``CacheMode`` property is set to ``OPTIMIZE_SIZE``.
+
+.. tab-set::
+
+   .. tab-item:: Python
+      :sync: py
+
+      .. doxygensnippet:: docs/articles_en/assets/snippets/ov_caching.py
+         :language: py
+         :fragment: [ov:caching:part5]
+
+   .. tab-item:: C++
+      :sync: cpp
+
+      .. doxygensnippet:: docs/articles_en/assets/snippets/ov_caching.cpp
+         :language: cpp
+         :fragment: [ov:caching:part5]
+
 .. important::
 
-   Currently, this property is supported only by the CPU plugin. For other HW plugins, setting this property will not encrypt/decrypt the model topology in cache and will not affect performance. 
+   Currently, this property is supported only by the CPU and GPU plugins. For other HW plugins, setting this property will not encrypt/decrypt the model topology in cache and will not affect performance.