update compiled_model.export_model to file snippet

ilya-lavrenov · Sep 17, 2023 · 6eeeb45 · 6eeeb45
1 parent 652f052
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diff --git a/docs/OV_Runtime_UG/deployment/local-distribution.md b/docs/OV_Runtime_UG/deployment/local-distribution.md
@@ -137,6 +137,7 @@ OpenVINO Runtime uses frontend libraries dynamically to read models in different
 - ``openvino_tensorflow_lite_frontend`` is used to read the TensorFlow Lite file format.
 - ``openvino_onnx_frontend`` is used to read the ONNX file format.
 - ``openvino_paddle_frontend`` is used to read the Paddle file format.
+- ``openvino_pytorch_frontend`` is used to convert PyTorch model via ``openvino.convert_model`` API.
 
 Depending on the model format types that are used in the application in `ov::Core::read_model <classov_1_1Core.html#doxid-classov-1-1-core-1ae0576a95f841c3a6f5e46e4802716981>`__, select the appropriate libraries.
 

diff --git a/docs/snippets/export_compiled_model.cpp b/docs/snippets/export_compiled_model.cpp
@@ -5,13 +5,9 @@ int main() {
 
 //! [export_compiled_model]
 ov::Core core;
-
-std::stringstream stream;
-
 ov::CompiledModel model = core.compile_model("modelPath", "deviceName");
-
+std::fstream stream("compiled_model.blob");
 model.export_model(stream);
-
 //!  [export_compiled_model]
 
 return 0;