[GPU] Renamed GPU plugin to ov_intel_gpu_plugin (#8957)
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@@ -8,9 +8,9 @@ After you have used the Model Optimizer to create an Intermediate Representation
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Inference Engine is a set of C++ libraries providing a common API to deliver inference solutions on the platform of your choice: CPU, GPU, or VPU. Use the Inference Engine API to read the Intermediate Representation, set the input and output formats, and execute the model on devices. While the C++ libraries is the primary implementation, C libraries and Python bindings are also available.
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For Intel® Distribution of OpenVINO™ toolkit, Inference Engine binaries are delivered within release packages.
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For Intel® Distribution of OpenVINO™ toolkit, Inference Engine binaries are delivered within release packages.
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The open source version is available in the [OpenVINO™ toolkit GitHub repository](https://github.com/openvinotoolkit/openvino) and can be built for supported platforms using the <a href="https://github.com/openvinotoolkit/openvino/wiki/BuildingCode">Inference Engine Build Instructions</a>.
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The open source version is available in the [OpenVINO™ toolkit GitHub repository](https://github.com/openvinotoolkit/openvino) and can be built for supported platforms using the <a href="https://github.com/openvinotoolkit/openvino/wiki/BuildingCode">Inference Engine Build Instructions</a>.
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To learn about how to use the Inference Engine API for your application, see the [Integrating Inference Engine in Your Application](Integrate_with_customer_application_new_API.md) documentation.
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@@ -66,7 +66,7 @@ The table below shows the plugin libraries and additional dependencies for Linux
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| Plugin | Library name for Linux | Dependency libraries for Linux | Library name for Windows | Dependency libraries for Windows | Library name for macOS | Dependency libraries for macOS |
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|--------|-----------------------------|-------------------------------------------------------------|--------------------------|--------------------------------------------------------------------------------------------------------|------------------------------|---------------------------------------------|
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| CPU | `libMKLDNNPlugin.so` | `libinference_engine_lp_transformations.so` | `MKLDNNPlugin.dll` | `inference_engine_lp_transformations.dll` | `libMKLDNNPlugin.so` | `inference_engine_lp_transformations.dylib` |
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| GPU | `libclDNNPlugin.so` | `libinference_engine_lp_transformations.so`, `libOpenCL.so` | `clDNNPlugin.dll` | `OpenCL.dll`, `inference_engine_lp_transformations.dll` | Is not supported | - |
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| GPU | `libov_intel_gpu_plugin.so` | `libinference_engine_lp_transformations.so`, `libOpenCL.so` | `ov_intel_gpu_plugin.dll` | `OpenCL.dll`, `inference_engine_lp_transformations.dll` | Is not supported | - |
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| MYRIAD | `libmyriadPlugin.so` | `libusb.so`, | `myriadPlugin.dll` | `usb.dll` | `libmyriadPlugin.so` | `libusb.dylib` |
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| HDDL | `libHDDLPlugin.so` | `libbsl.so`, `libhddlapi.so`, `libmvnc-hddl.so` | `HDDLPlugin.dll` | `bsl.dll`, `hddlapi.dll`, `json-c.dll`, `libcrypto-1_1-x64.dll`, `libssl-1_1-x64.dll`, `mvnc-hddl.dll` | Is not supported | - |
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| GNA | `libGNAPlugin.so` | `libgna.so`, | `GNAPlugin.dll` | `gna.dll` | Is not supported | - |
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@@ -11,9 +11,9 @@ After you have used the Model Optimizer to create an Intermediate Representation
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Inference Engine is a set of C++ libraries providing a common API to deliver inference solutions on the platform of your choice: CPU, GPU, or VPU. Use the Inference Engine API to read the Intermediate Representation, set the input and output formats, and execute the model on devices. While the C++ libraries is the primary implementation, C libraries and Python bindings are also available.
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For Intel® Distribution of OpenVINO™ toolkit, Inference Engine binaries are delivered within release packages.
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For Intel® Distribution of OpenVINO™ toolkit, Inference Engine binaries are delivered within release packages.
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The open source version is available in the [OpenVINO™ toolkit GitHub repository](https://github.com/openvinotoolkit/openvino) and can be built for supported platforms using the <a href="https://github.com/openvinotoolkit/openvino/wiki/BuildingCode">Inference Engine Build Instructions</a>.
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The open source version is available in the [OpenVINO™ toolkit GitHub repository](https://github.com/openvinotoolkit/openvino) and can be built for supported platforms using the <a href="https://github.com/openvinotoolkit/openvino/wiki/BuildingCode">Inference Engine Build Instructions</a>.
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To learn about how to use the Inference Engine API for your application, see the [Integrating Inference Engine in Your Application](Integrate_with_customer_application_new_API.md) documentation.
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@@ -71,7 +71,7 @@ The table below shows the plugin libraries and additional dependencies for Linux
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| Plugin | Library name for Linux | Dependency libraries for Linux | Library name for Windows | Dependency libraries for Windows | Library name for macOS | Dependency libraries for macOS |
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|--------|-----------------------------|-------------------------------------------------------------|--------------------------|--------------------------------------------------------------------------------------------------------|------------------------------|---------------------------------------------|
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| CPU | `libMKLDNNPlugin.so` | `libinference_engine_lp_transformations.so` | `MKLDNNPlugin.dll` | `inference_engine_lp_transformations.dll` | `libMKLDNNPlugin.so` | `inference_engine_lp_transformations.dylib` |
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| GPU | `libclDNNPlugin.so` | `libinference_engine_lp_transformations.so`, `libOpenCL.so` | `clDNNPlugin.dll` | `OpenCL.dll`, `inference_engine_lp_transformations.dll` | Is not supported | - |
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| GPU | `libov_intel_gpu_plugin.so` | `libinference_engine_lp_transformations.so`, `libOpenCL.so` | `ov_intel_gpu_plugin.dll` | `OpenCL.dll`, `inference_engine_lp_transformations.dll` | Is not supported | - |
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| MYRIAD | `libmyriadPlugin.so` | `libusb.so`, | `myriadPlugin.dll` | `usb.dll` | `libmyriadPlugin.so` | `libusb.dylib` |
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| HDDL | `libHDDLPlugin.so` | `libbsl.so`, `libhddlapi.so`, `libmvnc-hddl.so` | `HDDLPlugin.dll` | `bsl.dll`, `hddlapi.dll`, `json-c.dll`, `libcrypto-1_1-x64.dll`, `libssl-1_1-x64.dll`, `mvnc-hddl.dll` | Is not supported | - |
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| GNA | `libGNAPlugin.so` | `libgna.so`, | `GNAPlugin.dll` | `gna.dll` | Is not supported | - |
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+1
-1
@@ -22,7 +22,7 @@ inline const std::string getPluginLibNameByDevice(const std::string& deviceName)
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{ "AUTO", "MultiDevicePlugin" },
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{ "CPU", "MKLDNNPlugin" },
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{ "GNA", "GNAPlugin" },
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{ "GPU", "clDNNPlugin" },
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{ "GPU", "ov_intel_gpu_plugin" },
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{ "HETERO", "ov_hetero_plugin" },
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{ "MULTI", "MultiDevicePlugin" },
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{ "MYRIAD", "myriadPlugin" },
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@@ -12,7 +12,7 @@ addIeTargetTest(
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INCLUDES
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${CMAKE_CURRENT_SOURCE_DIR}
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DEPENDENCIES
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clDNNPlugin
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ov_intel_gpu_plugin
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LINK_LIBRARIES
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funcSharedTests
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OpenCL
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+2
-2
@@ -20,7 +20,7 @@ namespace {
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INSTANTIATE_TEST_SUITE_P(nightly_OVClassCommon,
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OVClassBasicTestP,
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::testing::Values(std::make_pair("clDNNPlugin", "GPU")));
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::testing::Values(std::make_pair("ov_intel_gpu_plugin", "GPU")));
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INSTANTIATE_TEST_SUITE_P(nightly_OVClassNetworkTestP, OVClassNetworkTestP, ::testing::Values("GPU"));
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@@ -193,4 +193,4 @@ INSTANTIATE_TEST_SUITE_P(
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nightly_OVClassSetGlobalConfigTest, OVClassSetGlobalConfigTest,
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::testing::Values("GPU")
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);
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} // namespace
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} // namespace
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+1
-1
@@ -21,7 +21,7 @@ namespace {
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INSTANTIATE_TEST_SUITE_P(
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nightly_IEClassCommon, IEClassBasicTestP,
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::testing::Values(std::make_pair("clDNNPlugin", "GPU"))
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::testing::Values(std::make_pair("ov_intel_gpu_plugin", "GPU"))
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);
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INSTANTIATE_TEST_SUITE_P(
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@@ -6,7 +6,7 @@ set(VPU_DEPENDENCIES
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vpu_copy_firmware)
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if (ENABLE_INTEL_GPU)
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list(APPEND VPU_DEPENDENCIES clDNNPlugin)
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list(APPEND VPU_DEPENDENCIES ov_intel_gpu_plugin)
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if(ENABLE_HETERO)
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list(APPEND VPU_DEPENDENCIES ov_hetero_plugin)
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endif()
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@@ -31,7 +31,7 @@ if(ENABLE_MKL_DNN)
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endif()
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if(ENABLE_INTEL_GPU)
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add_dependencies(${TARGET_NAME} clDNNPlugin)
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add_dependencies(${TARGET_NAME} ov_intel_gpu_plugin)
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endif()
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add_cpplint_target(${TARGET_NAME}_cpplint FOR_TARGETS ${TARGET_NAME})
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@@ -461,7 +461,7 @@ if (ENABLE_INTEL_GPU AND NGRAPH_UNIT_TEST_BACKENDS_ENABLE)
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if (ENABLE_STRICT_DEPENDENCIES)
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# For convinience add a runtime dependency to build along with this target.
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# Warning: Parallel build with -GNinja may not be efficient.
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list(APPEND UNIT_TESTS_DEPENDENCIES clDNNPlugin)
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list(APPEND UNIT_TESTS_DEPENDENCIES ov_intel_gpu_plugin)
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endif()
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endif()
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@@ -200,7 +200,7 @@ endif()
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target_compile_definitions(${TARGET_NAME} PRIVATE IMPLEMENT_INFERENCE_ENGINE_API)
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ie_register_plugins(MAIN_TARGET ${TARGET_NAME}
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POSSIBLE_PLUGINS MultiDevicePlugin ov_hetero_plugin clDNNPlugin GNAPlugin MKLDNNPlugin myriadPlugin)
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POSSIBLE_PLUGINS MultiDevicePlugin ov_hetero_plugin ov_intel_gpu_plugin GNAPlugin MKLDNNPlugin myriadPlugin)
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ie_add_api_validator_post_build_step(TARGET ${TARGET_NAME})
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@@ -2,7 +2,7 @@
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# SPDX-License-Identifier: Apache-2.0
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#
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set (TARGET_NAME "clDNNPlugin")
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set (TARGET_NAME "ov_intel_gpu_plugin")
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if(CMAKE_COMPILER_IS_GNUCXX)
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ie_add_compiler_flags(-Wno-all)
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@@ -52,7 +52,7 @@
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"dependencies" : ["ie_core"],
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"files": [
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"runtime/lib/intel64/cache.json",
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"runtime/lib/intel64/libclDNNPlugin.so",
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"runtime/lib/intel64/libov_intel_gpu_plugin.so",
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"runtime/lib/intel64/libinference_engine_lp_transformations.so",
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"install_dependencies/install_NEO_OCL_driver.sh"
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]
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@@ -47,7 +47,7 @@
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"files": [
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"runtime/bin/intel64/Release/cache.json",
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"runtime/bin/intel64/Release/inference_engine_lp_transformations.dll",
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"runtime/bin/intel64/Release/clDNNPlugin.dll"
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"runtime/bin/intel64/Release/ov_intel_gpu_plugin.dll"
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]
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},
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"vpu": {
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