Rename IE to OV (openvinotoolkit#22733)

CONTRIBUTING_PR.md

@@ -59,5 +59,5 @@ Regardless of the automated tests, you should ensure the quality of your changes
 * [How to create a fork](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/fork-a-repo) 
 * [Install Git](https://git-scm.com/book/en/v2/Getting-Started-First-Time-Git-Setup)
 * If you want to add a new sample, please have a look at the Guide for contributing
-  to C++/C/Python IE samples and add the license statement at the top of new files for
+  to C++/C/Python OV samples and add the license statement at the top of new files for
   C++ example, Python example.

cmake/developer_package/cross_compile/cross_compiled_func.cmake

@@ -22,7 +22,7 @@ set(_DEFINE_AVX512F  "HAVE_AVX512F" ${_DEFINE_AVX2})
 ov_avx512_optimization_flags(_FLAGS_AVX512F)
 ov_avx2_optimization_flags  (_FLAGS_AVX2)
 ov_sse42_optimization_flags (_FLAGS_SSE42)
-set(_FLAGS_AVX "")  ## TBD is not defined for IE project yet
+set(_FLAGS_AVX "")  ## TBD is not defined for OV project yet
 set(_FLAGS_ANY "")  ##
 
 ## way to duplicate file via cmake tool set

cmake/developer_package/packaging/packaging.cmake

@@ -73,7 +73,7 @@ endfunction()
 #
 # ov_cpack_add_component(NAME ...)
 #
-# Wraps original `cpack_add_component` and adds component to internal IE list
+# Wraps original `cpack_add_component` and adds component to internal OV list
 #
 function(ov_cpack_add_component name)
     if(NOT ${name} IN_LIST OV_CPACK_COMPONENTS_ALL)

cmake/developer_package/tbb/TBBConfig.cmake

@@ -7,12 +7,12 @@
 #  Perform search of TBB package corresponding with specified search order.
 #
 #  TBBROOT var is set into external package path or has a default value
-#  with IE own version of TBB. Search order is next:
+#  with OV own version of TBB. Search order is next:
 #   1) ${TBBROOT}/cmake
-#   2) ${TBBROOT} with IE own version of TBBConfig.cmake (actual for TBB < 2017.7)
+#   2) ${TBBROOT} with OV own version of TBBConfig.cmake (actual for TBB < 2017.7)
 #
 
-# Path to IE own version of TBBConfig.cmake old TBB version without cmake config.
+# Path to OV own version of TBBConfig.cmake old TBB version without cmake config.
 if(APPLE)
     set(_OV_OWN_TBB_CONFIG tbb/mac)
 elseif(UNIX)

samples/c/hello_classification/README.md

@@ -9,7 +9,7 @@ For more detailed information on how this sample works, check the dedicated [art
 | Options                    | Values                                                                                                                                                                      |
 | ---------------------------| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
 | Validated Models           | [alexnet](https://docs.openvino.ai/2023.3/omz_models_model_alexnet.html), [googlenet-v1](https://docs.openvino.ai/2023.3/omz_models_model_googlenet_v1.html)                |
-| Model Format               | Inference Engine Intermediate Representation (\*.xml + \*.bin), ONNX (\*.onnx)                                                                                              |
+| Model Format               | OpenVINO Intermediate Representation (\*.xml + \*.bin), ONNX (\*.onnx)                                                                                              |
 | Validated images           | The sample uses OpenCV\* to [read input image](https://docs.opencv.org/master/d4/da8/group__imgcodecs.html#ga288b8b3da0892bd651fce07b3bbd3a56) (\*.bmp, \*.png)             |
 | Supported devices          | [All](https://docs.openvino.ai/2023.3/openvino_docs_OV_UG_supported_plugins_Supported_Devices.html)                                                                         |
 | Other language realization | [C++](https://docs.openvino.ai/2023.3/openvino_sample_hello_classification.html),                                                                  |

samples/c/hello_nv12_input_classification/README.md

@@ -11,7 +11,7 @@ For more detailed information on how this sample works, check the dedicated [art
 | Options                     | Values                                                                                                               |
 | ----------------------------| ---------------------------------------------------------------------------------------------------------------------|
 | Validated Models            | [alexnet](https://docs.openvino.ai/2023.3/omz_models_model_alexnet.html)                                             |
-| Model Format                | Inference Engine Intermediate Representation (\*.xml + \*.bin), ONNX (\*.onnx)                                       |
+| Model Format                | OpenVINO Intermediate Representation (\*.xml + \*.bin), ONNX (\*.onnx)                                       |
 | Validated images            | An uncompressed image in the NV12 color format - \*.yuv                                                              |
 | Supported devices           | [All](https://docs.openvino.ai/2023.3/openvino_docs_OV_UG_supported_plugins_Supported_Devices.html)                  |
 | Other language realization  | [C++](https://docs.openvino.ai/2023.3/openvino_sample_hello_nv12_input_classification.html)                          |
@@ -28,6 +28,6 @@ The following C++ API is used in the application:
 |                           | ``ov_preprocess_preprocess_steps_convert_color``          |                                                        |
 
 
-Basic Inference Engine API is covered by [Hello Classification C sample](https://docs.openvino.ai/2023.3/openvino_sample_hello_classification.html).
+Basic OpenVINO API is covered by [Hello Classification C sample](https://docs.openvino.ai/2023.3/openvino_sample_hello_classification.html).
 
 

samples/cpp/CMakeLists.txt

@@ -48,11 +48,11 @@ if (NOT BIN_FOLDER)
 endif()
 
 if(OpenVINO_SOURCE_DIR)
-    # in case if samples are built from IE repo
+    # in case if samples are built from OV repo
     set(OV_MAIN_SAMPLES_DIR "${OpenVINO_SOURCE_DIR}")
     set(OpenVINO_DIR "${CMAKE_BINARY_DIR}")
 else()
-    # in case if samples are built out of IE repo
+    # in case if samples are built out of OV repo
     set(OV_MAIN_SAMPLES_DIR ${CMAKE_CURRENT_BINARY_DIR})
 endif()
 

samples/cpp/benchmark_app/benchmark_app.hpp

@@ -231,11 +231,11 @@ static const char exec_graph_path_message[] =
 
 // @brief message for dump config option
 static const char dump_config_message[] =
-    "Optional. Path to JSON file to dump IE parameters, which were set by application.";
+    "Optional. Path to JSON file to dump OV parameters, which were set by application.";
 
 // @brief message for load config option
 static const char load_config_message[] =
-    "Optional. Path to JSON file to load custom IE parameters."
+    "Optional. Path to JSON file to load custom OV parameters."
     " Please note, command line parameters have higher priority then parameters from configuration file.\n"
     "                              Example 1: a simple JSON file for HW device with primary properties.\n"
     "                                       {\n"

samples/cpp/hello_query_device/main.cpp

@@ -17,8 +17,8 @@
 // clang-format on
 
 /**
- * @brief Print IE Parameters
- * @param reference on IE Parameter
+ * @brief Print OV Parameters
+ * @param reference on OV Parameter
  * @return void
  */
 void print_any_value(const ov::Any& value) {

samples/python/hello_query_device/hello_query_device.py

@@ -9,7 +9,7 @@
 
 
 def param_to_string(parameters) -> str:
-    """Convert a list / tuple of parameters returned from IE to a string."""
+    """Convert a list / tuple of parameters returned from OV to a string."""
     if isinstance(parameters, (list, tuple)):
         return ', '.join([str(x) for x in parameters])
     else:

src/bindings/c/include/openvino/c/ov_core.h

@@ -129,7 +129,7 @@ ov_core_free(ov_core_t* core);
 /**
  * @brief Reads models from IR / ONNX / PDPD / TF / TFLite formats.
  * @ingroup ov_core_c_api
- * @param core A pointer to the ie_core_t instance.
+ * @param core A pointer to the ov_core_t instance.
  * @param model_path Path to a model.
  * @param bin_path Path to a data file.
  * For IR format (*.bin):
@@ -150,7 +150,7 @@ ov_core_read_model(const ov_core_t* core, const char* model_path, const char* bi
 /**
  * @brief Reads models from IR / ONNX / PDPD / TF / TFLite formats, path is unicode.
  * @ingroup ov_core_c_api
- * @param core A pointer to the ie_core_t instance.
+ * @param core A pointer to the ov_core_t instance.
  * @param model_path Path to a model.
  * @param bin_path Path to a data file.
  * For IR format (*.bin):
@@ -174,7 +174,7 @@ ov_core_read_model_unicode(const ov_core_t* core,
 /**
  * @brief Reads models from IR / ONNX / PDPD / TF / TFLite formats with models string size.
  * @ingroup ov_core_c_api
- * @param core A pointer to the ie_core_t instance.
+ * @param core A pointer to the ov_core_t instance.
  * @param model_str String with a model in IR / ONNX / PDPD / TF / TFLite format, support model string containing
  * several null chars.
  * @param str_len The length of model string.
@@ -198,7 +198,7 @@ ov_core_read_model_from_memory_buffer(const ov_core_t* core,
  * Users can create as many compiled models as they need and use
  * them simultaneously (up to the limitation of the hardware resources).
  * @ingroup ov_core_c_api
- * @param core A pointer to the ie_core_t instance.
+ * @param core A pointer to the ov_core_t instance.
  * @param model Model object acquired from Core::read_model.
  * @param device_name Name of a device to load a model to.
  * @param property_args_size How many properties args will be passed, each property contains 2 args: key and value.
@@ -220,7 +220,7 @@ ov_core_compile_model(const ov_core_t* core,
  * This can be more efficient than using the ov_core_read_model_from_XXX + ov_core_compile_model flow,
  * especially for cases when caching is enabled and a cached model is available.
  * @ingroup ov_core_c_api
- * @param core A pointer to the ie_core_t instance.
+ * @param core A pointer to the ov_core_t instance.
  * @param model_path Path to a model.
  * @param device_name Name of a device to load a model to.
  * @param property_args_size How many properties args will be passed, each property contains 2 args: key and value.
@@ -243,7 +243,7 @@ ov_core_compile_model_from_file(const ov_core_t* core,
  * This can be more efficient than using the ov_core_read_model_from_XXX + ov_core_compile_model flow,
  * especially for cases when caching is enabled and a cached model is available.
  * @ingroup ov_core_c_api
- * @param core A pointer to the ie_core_t instance.
+ * @param core A pointer to the ov_core_t instance.
  * @param model_path Path to a model.
  * @param device_name Name of a device to load a model to.
  * @param property_args_size How many properties args will be passed, each property contains 2 args: key and value.
@@ -265,7 +265,7 @@ ov_core_compile_model_from_file_unicode(const ov_core_t* core,
 /**
  * @brief Sets properties for a device, acceptable keys can be found in ov_property_key_xxx.
  * @ingroup ov_core_c_api
- * @param core A pointer to the ie_core_t instance.
+ * @param core A pointer to the ov_core_t instance.
  * @param device_name Name of a device.
  * @param ... variadic paramaters The format is <char* property_key, char* property_value>.
  * Supported property key please see ov_property.h.
@@ -278,7 +278,7 @@ ov_core_set_property(const ov_core_t* core, const char* device_name, ...);
  * @brief Gets properties related to device behaviour.
  * The method extracts information that can be set via the set_property method.
  * @ingroup ov_core_c_api
- * @param core A pointer to the ie_core_t instance.
+ * @param core A pointer to the ov_core_t instance.
  * @param device_name  Name of a device to get a property value.
  * @param property_key  Property key.
  * @param property_value A pointer to property value with string format.
@@ -290,7 +290,7 @@ ov_core_get_property(const ov_core_t* core, const char* device_name, const char*
 /**
  * @brief Returns devices available for inference.
  * @ingroup ov_core_c_api
- * @param core A pointer to the ie_core_t instance.
+ * @param core A pointer to the ov_core_t instance.
  * @param devices A pointer to the ov_available_devices_t instance.
  * Core objects go over all registered plugins and ask about available devices.
  * @return Status code of the operation: OK(0) for success.
@@ -340,7 +340,7 @@ ov_core_get_versions_by_device_name(const ov_core_t* core, const char* device_na
 /**
  * @brief Releases memory occupied by ov_core_version_list_t.
  * @ingroup ov_core_c_api
- * @param versions A pointer to the ie_core_versions to free memory.
+ * @param versions A pointer to the ov_core_version_list_t to free memory.
  */
 OPENVINO_C_API(void)
 ov_core_versions_free(ov_core_version_list_t* versions);

src/bindings/python/src/openvino/runtime/opset1/ops.py

@@ -1516,7 +1516,7 @@ def lstm_cell(
     default_p = make_constant_node(peepholes_array, dtype=data_dtype)
     node_inputs.append(default_p)
 
-    weights_format = "fico"  # IE LSTMWeightsFormat, no such attribute in the OV spec
+    weights_format = "fico"  # OV LSTMWeightsFormat, no such attribute in the OV spec
     input_forget = False  # nGraph default, no such attribute in the OV spec
 
     attributes = {
@@ -1602,7 +1602,7 @@ def lstm_sequence(
     default_p = make_constant_node(peepholes_array, dtype=data_dtype)
     node_inputs.append(default_p)
 
-    weights_format = "fico"  # IE LSTMWeightsFormat, no such attribute in the OV spec
+    weights_format = "fico"  # OV LSTMWeightsFormat, no such attribute in the OV spec
     input_forget = False  # nGraph default, no such attribute in the OV spec
 
     attributes = {

src/bindings/python/tests/test_graph/test_einsum.py

@@ -14,7 +14,7 @@ def einsum_op_check(input_shapes: list, equation: str, data_type: np.dtype,
     """Test Einsum operation for given input shapes, equation, and data type.
 
     It generates input data of given shapes and type, receives reference results using numpy,
-    and tests IE implementation by matching with reference numpy results.
+    and tests OV implementation by matching with reference numpy results.
     :param input_shapes: a list of tuples with shapes
     :param equation: Einsum equation
     :param data_type: a type of input data

src/common/low_precision_transformations/include/low_precision/add.hpp

@@ -12,13 +12,13 @@ namespace pass {
 namespace low_precision {
 
 /**
- * @ingroup ie_transformation_common_api
+ * @ingroup ov_transformation_common_api
  * @brief AddTransformation propagates dequantization subtraction from one input branch to another and
  * propagates dequantization multiplication from the same branch through Add operation.
  *
  * For more details about the transformation, refer to
  * [AddTransformation](@ref openvino_docs_OV_UG_lpt_AddTransformation) page
- * in the Inference Engine Developer Guide.
+ * in the OpenVINO Developer Guide.
  */
 class LP_TRANSFORMATIONS_API AddTransformation : public EltwiseBaseTransformation {
 public:

src/common/low_precision_transformations/include/low_precision/align_quantization_intervals.hpp

@@ -20,13 +20,13 @@ class LP_TRANSFORMATIONS_API AlignQuantizationIntervals;
 }  // namespace ov
 
 /**
- * @ingroup ie_transformation_common_api
+ * @ingroup ov_transformation_common_api
  * @brief AlignQuantizationIntervals transformation marks precision preserved operations subgraph by `IntervalsAlignmentAttribute`
  * after FakeQuantize operations.
  *
  * For more details about the transformation, refer to
  * [AlignQuantizationIntervals](@ref openvino_docs_OV_UG_lpt_AlignQuantizationIntervals) page
- * in the Inference Engine Developer Guide.
+ * in the OpenVINO Developer Guide.
  */
 class ov::pass::low_precision::AlignQuantizationIntervals : public ov::pass::ModelPass {
 public:

src/common/low_precision_transformations/include/low_precision/align_quantization_parameters.hpp

@@ -21,13 +21,13 @@ class LP_TRANSFORMATIONS_API AlignQuantizationParameters;
 }  // namespace ov
 
 /**
- * @ingroup ie_transformation_common_api
+ * @ingroup ov_transformation_common_api
  * @brief AlignQuantizationParameters transformation marks precision preserved operations subgraph by `QuantizationAlignmentAttribute`
  * attribute after FakeQuantize operations.
  *
  * For more details about the transformation, refer to
  * [AlignQuantizationParameters](@ref openvino_docs_OV_UG_lpt_AlignQuantizationParameters) page
- * in the Inference Engine Developer Guide.
+ * in the OpenVINO Developer Guide.
  */
 class ov::pass::low_precision::AlignQuantizationParameters : public ov::pass::ModelPass {
 public:

src/common/low_precision_transformations/include/low_precision/avg_pool.hpp

@@ -12,12 +12,12 @@ namespace pass {
 namespace low_precision {
 
 /**
- * @ingroup ie_transformation_common_api
+ * @ingroup ov_transformation_common_api
  * @brief AvgPoolTransformation propagates dequantization operations through AvgPool operation.
  *
  * For more details about the transformation, refer to
  * [AvgPoolTransformation](@ref openvino_docs_OV_UG_lpt_AvgPoolTransformation) page
- * in the Inference Engine Developer Guide.
+ * in the OpenVINO Developer Guide.
  */
 class LP_TRANSFORMATIONS_API AvgPoolTransformation : public LayerTransformation {
 public:

src/common/low_precision_transformations/include/low_precision/batch_to_space.hpp

@@ -13,12 +13,12 @@ namespace pass {
 namespace low_precision {
 
 /**
- * @ingroup ie_transformation_common_api
+ * @ingroup ov_transformation_common_api
  * @brief BatchToSpaceTransformation propagates dequantization operations through BatchToSpace operation.
  *
  * For more details about the transformation, refer to
  * [BatchToSpaceTransformation](@ref openvino_docs_OV_UG_lpt_BatchToSpaceTransformation) page
- * in the Inference Engine Developer Guide.
+ * in the OpenVINO Developer Guide.
  */
 class LP_TRANSFORMATIONS_API BatchToSpaceTransformation : public LayerTransformation {
 public:

src/common/low_precision_transformations/include/low_precision/clamp.hpp

@@ -13,12 +13,12 @@ namespace pass {
 namespace low_precision {
 
 /**
- * @ingroup ie_transformation_common_api
+ * @ingroup ov_transformation_common_api
  * @brief ClampTransformation propagates dequantization operations through Clamp operation.
  *
  * For more details about the transformation, refer to
  * [ClampTransformation](@ref openvino_docs_OV_UG_lpt_ClampTransformation) page
- * in the Inference Engine Developer Guide.
+ * in the OpenVINO Developer Guide.
  */
 class LP_TRANSFORMATIONS_API ClampTransformation : public LayerTransformation {
 public:

src/common/low_precision_transformations/include/low_precision/cleanup_transformation.hpp

@@ -11,7 +11,7 @@ namespace pass {
 namespace low_precision {
 
 /**
- * @ingroup ie_transformation_common_api
+ * @ingroup ov_transformation_common_api
  * @brief Base class for cleanup low precision transformation.
  */
 class LP_TRANSFORMATIONS_API CleanupTransformation : public LayerTransformation {

src/common/low_precision_transformations/include/low_precision/concat.hpp

@@ -20,12 +20,12 @@ namespace pass {
 namespace low_precision {
 
 /**
- * @ingroup ie_transformation_common_api
+ * @ingroup ov_transformation_common_api
  * @brief ConcatTransformation propagates dequantization operations through Concat operation.
  *
  * For more details about the transformation, refer to
  * [ConcatTransformation](@ref openvino_docs_OV_UG_lpt_ConcatTransformation) page
- * in the Inference Engine Developer Guide.
+ * in the OpenVINO Developer Guide.
  */
 class LP_TRANSFORMATIONS_API ConcatTransformation : public LayerTransformation {
 public:

src/common/low_precision_transformations/include/low_precision/convert_subtract_constant.hpp

@@ -21,13 +21,13 @@ class LP_TRANSFORMATIONS_API ConvertSubtractConstant;
 }  // namespace ov
 
 /**
- * @ingroup ie_transformation_common_api
+ * @ingroup ov_transformation_common_api
  * @brief ConvertSubtractConstant marks Convert operations on constant subgraph by DISABLED_CONSTANT_FOLDING attribute
  * to prevent constant folding.
  *
  * For more details about the transformation, refer to
  * [ConvertSubtractConstant](@ref openvino_docs_OV_UG_lpt_ConvertSubtractConstant) page
- * in the Inference Engine Developer Guide.
+ * in the OpenVINO Developer Guide.
  */
 class ov::pass::low_precision::ConvertSubtractConstant : public ov::pass::MatcherPass {
 public:

src/common/low_precision_transformations/include/low_precision/convolution.hpp

@@ -11,12 +11,12 @@ namespace pass {
 namespace low_precision {
 
 /**
- * @ingroup ie_transformation_common_api
+ * @ingroup ov_transformation_common_api
  * @brief ConvolutionTransformation propagates dequantization operations through Convolution operation.
  *
  * For more details about the transformation, refer to
  * [ConvolutionTransformation](@ref openvino_docs_OV_UG_lpt_ConvolutionTransformation) page
- * in the Inference Engine Developer Guide.
+ * in the OpenVINO Developer Guide.
  */
 class LP_TRANSFORMATIONS_API ConvolutionTransformation : public WeightableLayerTransformation {
 public: