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Fix spelling errors in the API and bindings (#2781)

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Roman Donchenko 2020-10-23 09:17:03 +03:00 committed by GitHub
parent 258c51bd1f
commit ba3fc7fb8a
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GPG Key ID: 4AEE18F83AFDEB23
11 changed files with 26 additions and 26 deletions
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16
inference-engine/ie_bridges/c/include/c_api/ie_c_api.h
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@ -352,7 +352,7 @@ INFERENCE_ENGINE_C_API(void) ie_core_free(ie_core_t **core);
* @brief Gets version information of the device specified. Use the ie_core_versions_free() method to free memory.
* @ingroup Core
* @param core A pointer to ie_core_t instance.
* @param device_name Name to indentify device.
* @param device_name Name to identify device.
* @param versions A pointer to versions corresponding to device_name.
* @return Status code of the operation: OK(0) for success.
*/
@ -409,7 +409,7 @@ INFERENCE_ENGINE_C_API(IE_NODISCARD IEStatusCode) ie_core_load_network(ie_core_t
* @ingroup Core
* @param core A pointer to ie_core_t instance.
* @param ie_core_config Device configuration.
* @param device_name An optinal name of a device. If device name is not specified,
* @param device_name An optional name of a device. If device name is not specified,
* the config is set for all the registered devices.
* @return Status code of the operation: OK(0) for success.
*/
@ -537,7 +537,7 @@ INFERENCE_ENGINE_C_API(IE_NODISCARD IEStatusCode) ie_exec_network_get_metric(con
/**
* @brief Sets configuration for current executable network. Currently, the method can be used
* when the network run on the Multi device and the configuration paramter is only can be "MULTI_DEVICE_PRIORITIES"
* when the network run on the Multi device and the configuration parameter is only can be "MULTI_DEVICE_PRIORITIES"
* @ingroup ExecutableNetwork
* @param ie_exec_network A pointer to ie_executable_network_t instance.
* @param param_config A pointer to device configuration..
@ -551,7 +551,7 @@ INFERENCE_ENGINE_C_API(IE_NODISCARD IEStatusCode) ie_exec_network_set_config(ie_
* @ingroup ExecutableNetwork
* @param ie_exec_network A pointer to ie_executable_network_t instance.
* @param metric_config A configuration parameter name to request.
* @param param_result A configuration value corresponding to a configuration paramter name.
* @param param_result A configuration value corresponding to a configuration parameter name.
* @return Status code of the operation: OK(0) for success.
*/
INFERENCE_ENGINE_C_API(IE_NODISCARD IEStatusCode) ie_exec_network_get_config(const ie_executable_network_t *ie_exec_network, \
@ -653,7 +653,7 @@ INFERENCE_ENGINE_C_API(IE_NODISCARD IEStatusCode) ie_infer_request_set_batch(ie_
*/
/**
* @brief When netowrk is loaded into the Infernece Engine, it is not required anymore and should be released
* @brief When network is loaded into the Infernece Engine, it is not required anymore and should be released
* @ingroup Network
* @param network The pointer to the instance of the ie_network_t to free.
*/
@ -765,7 +765,7 @@ INFERENCE_ENGINE_C_API(IE_NODISCARD IEStatusCode) ie_network_set_input_resize_al
* @param network A pointer to ie_network_t instance.
* @param input_name Name of input data.
* @param colformat_result The pointer to the color format used for input blob creation.
* @reutrn Status code of the operation: OK(0) for success.
* @return Status code of the operation: OK(0) for success.
*/
INFERENCE_ENGINE_C_API(IE_NODISCARD IEStatusCode) ie_network_get_color_format(const ie_network_t *network, const char *input_name, colorformat_e *colformat_result);
@ -775,7 +775,7 @@ INFERENCE_ENGINE_C_API(IE_NODISCARD IEStatusCode) ie_network_get_color_format(co
* @param network A pointer to ie_network_t instance.
* @param input_name Name of input data.
* @param color_format Color format of the input data.
* @reutrn Status code of the operation: OK(0) for success.
* @return Status code of the operation: OK(0) for success.
*/
INFERENCE_ENGINE_C_API(IE_NODISCARD IEStatusCode) ie_network_set_color_format(ie_network_t *network, const char *input_name, const colorformat_e color_format);
@ -801,7 +801,7 @@ INFERENCE_ENGINE_C_API(IE_NODISCARD IEStatusCode) ie_network_reshape(ie_network_
/**
* @brief Gets number of output for the network.
* @ingroup Network
* @param network A pointer to the instance of the ie_network_t to get number of ouput information.
* @param network A pointer to the instance of the ie_network_t to get number of output information.
* @param size_result A number of the network's output information.
* @return Status code of the operation: OK(0) for success.
*/

2
inference-engine/ie_bridges/c/src/ie_c_api.cpp
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@ -145,7 +145,7 @@ std::map<std::string, IE::Parameter> config2ParamMap(const ie_config_t *config)
}
/**
*@brief convert the paramter.
*@brief convert the parameter.
*/
void parameter2IEparam(const IE::Parameter param, ie_param_t *ie_param) {
if (param.is<std::string>()) {

6
inference-engine/ie_bridges/java/cpp/infer_request.cpp
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@ -172,8 +172,8 @@ JNIEXPORT jobject JNICALL Java_org_intel_openvino_InferRequest_GetPerformanceCou
try
{
InferRequest *infer_request = (InferRequest *)addr;
std::map<std::string, InferenceEngine::InferenceEngineProfileInfo> perfomance;
perfomance = infer_request->GetPerformanceCounts();
std::map<std::string, InferenceEngine::InferenceEngineProfileInfo> performance;
performance = infer_request->GetPerformanceCounts();
jclass hashMap_class = env->FindClass("java/util/LinkedHashMap");
jmethodID init_method_id = env->GetMethodID(hashMap_class, "<init>", "()V");
@ -188,7 +188,7 @@ JNIEXPORT jobject JNICALL Java_org_intel_openvino_InferRequest_GetPerformanceCou
jclass layerStatus_enum = env->FindClass("org/intel/openvino/InferenceEngineProfileInfo$LayerStatus");
jmethodID valueOf_method_id = env->GetStaticMethodID(layerStatus_enum,"valueOf","(I)Lorg/intel/openvino/InferenceEngineProfileInfo$LayerStatus;");
for (const auto& itr : perfomance) {
for (const auto& itr : performance) {
InferenceEngine::InferenceEngineProfileInfo ie_prof_info = itr.second;
auto it = layer_status_map.find(ie_prof_info.status);

2
inference-engine/ie_bridges/python/src/openvino/inference_engine/ie_api_impl.cpp
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@ -74,7 +74,7 @@ PyObject *parse_parameter(const InferenceEngine::Parameter &param) {
auto val = param.as<int>();
return PyLong_FromLong((long)val);
}
// Check for unsinged int
// Check for unsigned int
else if (param.is<unsigned int>()) {
auto val = param.as<unsigned int>();
return PyLong_FromLong((unsigned long)val);

4
inference-engine/include/cpp/ie_executable_network.hpp
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@ -209,7 +209,7 @@ public:
*
* Wraps IExecutableNetwork::GetConfig
* @param name - config key, can be found in ie_plugin_config.hpp
* @return Configuration paramater value
* @return Configuration parameter value
*/
Parameter GetConfig(const std::string& name) const {
Parameter configValue;
@ -222,7 +222,7 @@ public:
*
* Wraps IExecutableNetwork::GetMetric
* @param name - metric name to request
* @return Metric paramater value
* @return Metric parameter value
*/
Parameter GetMetric(const std::string& name) const {
Parameter metricValue;

2
inference-engine/include/gna/gna_config.hpp
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@ -55,7 +55,7 @@ DECLARE_GNA_CONFIG_KEY(PRECISION);
DECLARE_GNA_CONFIG_KEY(FIRMWARE_MODEL_IMAGE);
/**
* @brief inforamtion on GNA generation chosen for firmware model dump, can be overriden by GNA3
* @brief information on GNA generation chosen for firmware model dump, can be overridden by GNA3
*/
DECLARE_GNA_CONFIG_KEY(FIRMWARE_MODEL_IMAGE_GENERATION);

6
inference-engine/include/ie_blob.h
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@ -404,7 +404,7 @@ public:
*
* The memory been addressed in the MemoryBlob in general case can be allocated on remote device.
* This function copies remote memory to the memory in the virtual process space and after
* destruction of the LockedMemory it will not upload host memory back, bacause it is expected that
* destruction of the LockedMemory it will not upload host memory back, because it is expected that
* content is not changed.
*
* To have an ability change content, you can use rwmap() and wmap() functions.
@ -428,10 +428,10 @@ public:
*
* The memory been addressed in the MemoryBlob in general case can be allocated on remote device.
* This function does not copy of the content from the device to the memory in the virtual process
* space, the content of the memory just after calling of this functin is not specified. After
* space, the content of the memory just after calling of this function is not specified. After
* destruction of the LockedMemory, content will be upload host memory.
* In the same time there is no abilities to restrict reading from the memory, you need to care of
* reading from memory got by wmap(), it might have sence in some cases like filling of content and
* reading from memory got by wmap(), it might have sense in some cases like filling of content and
* before uploading to device
*
* To access data stored in the blob, you can use rwmap() and rmap() functions.

6
inference-engine/include/ie_common.h
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@ -79,7 +79,7 @@ enum Layout : uint8_t {
SCALAR = 95, //!< A scalar layout
// bias layouts
C = 96, //!< A bias layout for opearation
C = 96, //!< A bias layout for operation
// Single image layouts
CHW = 128, //!< A single image layout (e.g. for mean image)
@ -166,7 +166,7 @@ struct InferenceEngineProfileInfo {
* @brief Defines the general status of the layer
*/
enum LayerStatus {
NOT_RUN, //!< A layer is not exectued
NOT_RUN, //!< A layer is not executed
OPTIMIZED_OUT, //!< A layer is optimized out during graph optimization phase
EXECUTED //!< A layer is executed
};
@ -237,7 +237,7 @@ struct ResponseDesc {
/**
* @brief Responce structure encapsulating information about supported layer
* @brief Response structure encapsulating information about supported layer
*/
struct QueryNetworkResult {
/**

4
inference-engine/include/ie_core.hpp
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@ -44,7 +44,7 @@ public:
/**
* @brief Returns plugins version information
*
* @param deviceName Device name to indentify plugin
* @param deviceName Device name to identify plugin
* @return A vector of versions
*/
std::map<std::string, Version> GetVersions(const std::string& deviceName) const;
@ -184,7 +184,7 @@ public:
/**
* @brief Sets configuration for device, acceptable keys can be found in ie_plugin_config.hpp
*
* @param deviceName An optinal name of a device. If device name is not specified, the config is set for all the
* @param deviceName An optional name of a device. If device name is not specified, the config is set for all the
* registered devices.
*
* @param config Map of pairs: (config parameter name, config parameter value)

2
inference-engine/include/ie_iexecutable_network.hpp
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@ -160,7 +160,7 @@ public:
/**
* @brief Gets shared context used to create an executable network.
*
* @param pContext Refernce to a pointer that will receive resulting shared context object ptr
* @param pContext Reference to a pointer that will receive resulting shared context object ptr
* @param resp Pointer to the response message that holds a description of an error if any occurred
* @return code of the operation. InferenceEngine::OK if succeeded
*/

2
inference-engine/include/ie_remote_context.hpp
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@ -194,7 +194,7 @@ public:
* @brief A wrapper of CreateBlob method of RemoteContext to keep consistency with
* plugin-specific wrappers.
* @param desc Defines the layout and dims of the blob
* @param ctx Poniter to the plugin object derived from RemoteContext.
* @param ctx Pointer to the plugin object derived from RemoteContext.
* @return A pointer to plugin object that implements RemoteBlob interface.
*/
inline RemoteBlob::Ptr make_shared_blob(const TensorDesc& desc, RemoteContext::Ptr ctx) {