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[CAPI] remove legacy CAPI source code and document #21916
[CAPI] remove legacy CAPI source code and document #21916
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@@ -145,11 +145,3 @@ int main_new() { | |||
return 0; | |||
} | |||
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int main_old() { |
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Looks like all migration
files may be removed
@ilya-lavrenov please, comment. If yes, let's remove it in next PR
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yes, they should be removed
@@ -29,7 +29,7 @@ OpenVINO C API has the following structure: | |||
* [src](./src) contains the implementations of all C APIs. | |||
* [tests](./tests) contains all tests for OpenVINO C APIs. [Learn more](./docs/how_to_write_unit_test.md). | |||
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> **NOTE**: Using API 2.0 is strongly recommended. Legacy API (for C) [header file](./include/c_api/ie_c_api.h), [source file](./src/ie_c_api.cpp), [unit test](./tests/ie_c_api_test.cpp) are also included in the component, but the legacy API is no longer extended. | |||
> **NOTE**: Using API 2.0 is strongly recommended. Legacy API (for C) has been removed from 2024.0. |
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> **NOTE**: Using API 2.0 is strongly recommended. Legacy API (for C) has been removed from 2024.0. | |
> **NOTE**: Legacy Inference Engine API (for C) has been removed from 2024.0. |
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## OV Core | ||
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This strcut represents OpenVINO entity and allows you to manipulate with plugins using unified interfaces. |
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This strcut represents OpenVINO entity and allows you to manipulate with plugins using unified interfaces. | |
This struct represents OpenVINO entity and allows you to manipulate with plugins using unified interfaces. |
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- Description: Loads a network that was read from the Intermediate Representation (IR) to the plugin with specified device name and creates an `ie_executable_network_t` instance of the `ie_network_t` struct. | ||
You can create as many networks as you need and use them simultaneously (up to the limitation of the hardware resources). | ||
- Description: Reads models from IR / ONNX / PDPD / TF / TFLite formats to create ov_model_t. |
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- Description: Reads models from IR / ONNX / PDPD / TF / TFLite formats to create ov_model_t. | |
- Description: Reads models from IR / PyTorch / ONNX / PDPD / TF / TFLite formats to create ov_model_t. |
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Will update these documentation issued in the next PR.
Details:
Tickets: