[OV JS] Support element string type (openvinotoolkit#24176)

### Tickets:
 - 138768

---------

Co-authored-by: Alicja Miloszewska <alicja.miloszewska@intel.com>

Author: vishniakov-nikolai

src/bindings/js/node/lib/addon.ts

@@ -18,7 +18,8 @@ type elementTypeString =
   | 'i32'
   | 'i16'
   | 'f64'
-  | 'f32';
+  | 'f32'
+  | 'string';
 
 interface Core {
   compileModel(
@@ -38,7 +39,7 @@ interface Core {
   readModelSync(modelBuffer: Uint8Array, weightsBuffer?: Uint8Array): Model;
   importModelSync(modelStream: Buffer, device: string): CompiledModel;
   importModelSync(
-    modelStream: Buffer, 
+    modelStream: Buffer,
     device: string,
     props: { [key: string]: string | number | boolean }
   ): CompiledModel;
@@ -181,6 +182,7 @@ declare enum element {
   i64,
   f32,
   f64,
+  string,
 }
 
 declare enum resizeAlgorithm {

src/bindings/js/node/src/helper.cpp

@@ -8,7 +8,7 @@
 
 const std::vector<std::string>& get_supported_types() {
     static const std::vector<std::string> supported_element_types =
-        {"i8", "u8", "i16", "u16", "i32", "u32", "f32", "f64", "i64", "u64"};
+        {"i8", "u8", "i16", "u16", "i32", "u32", "f32", "f64", "i64", "u64", "string"};
     return supported_element_types;
 }
 

src/bindings/js/node/src/preprocess/input_tensor_info.cpp

@@ -47,16 +47,18 @@ Napi::Value InputTensorInfo::set_shape(const Napi::CallbackInfo& info) {
 }
 
 Napi::Value InputTensorInfo::set_element_type(const Napi::CallbackInfo& info) {
-    if (info.Length() == 1) {
-        try {
-            auto type = js_to_cpp<ov::element::Type_t>(info, 0, {napi_string});
-            _tensor_info->set_element_type(type);
-        } catch (std::exception& e) {
-            reportError(info.Env(), e.what());
-        }
-    } else {
-        reportError(info.Env(), "Error in setElementType(). Wrong number of parameters.");
+    try {
+        OPENVINO_ASSERT(info.Length() == 1, "Error in setElementType(). Wrong number of parameters.");
+
+        auto type = js_to_cpp<ov::element::Type_t>(info, 0, {napi_string});
+
+        OPENVINO_ASSERT(type != ov::element::string, "String tensors are not supported in JS API.");
+
+        _tensor_info->set_element_type(type);
+    } catch (std::exception& e) {
+        reportError(info.Env(), e.what());
     }
+
     return info.This();
 }
 

src/bindings/js/node/src/preprocess/output_tensor_info.cpp

@@ -32,17 +32,18 @@ Napi::Value OutputTensorInfo::set_layout(const Napi::CallbackInfo& info) {
 }
 
 Napi::Value OutputTensorInfo::set_element_type(const Napi::CallbackInfo& info) {
-    if (info.Length() != 1) {
-        reportError(info.Env(), "Error in setElementType(). Wrong number of parameters.");
-        return info.Env().Undefined();
-    }
     try {
+        OPENVINO_ASSERT(info.Length() == 1, "Error in setElementType(). Wrong number of parameters.");
+
         auto type = js_to_cpp<ov::element::Type_t>(info, 0, {napi_string});
+
+        OPENVINO_ASSERT(type != ov::element::string, "String tensors are not supported in JS API.");
+
         _tensor_info->set_element_type(type);
     } catch (std::exception& e) {
         reportError(info.Env(), e.what());
-        return info.Env().Undefined();
     }
+
     return info.This();
 }
 

src/bindings/js/node/src/tensor.cpp

@@ -21,6 +21,9 @@ TensorWrap::TensorWrap(const Napi::CallbackInfo& info) : Napi::ObjectWrap<Tensor
 
     try {
         const auto type = js_to_cpp<ov::element::Type_t>(info, 0, {napi_string});
+
+        OPENVINO_ASSERT(type != ov::element::string, "String tensors are not supported in JS API.");
+
         const auto shape_vec = js_to_cpp<std::vector<size_t>>(info, 1, {napi_int32_array, napi_uint32_array, js_array});
         const auto& shape = ov::Shape(shape_vec);
 
@@ -74,6 +77,8 @@ Napi::Object TensorWrap::wrap(Napi::Env env, ov::Tensor tensor) {
 Napi::Value TensorWrap::get_data(const Napi::CallbackInfo& info) {
     auto type = _tensor.get_element_type();
 
+    OPENVINO_ASSERT(type != ov::element::string, "String tensors are not supported in JS API.");
+
     switch (type) {
     case ov::element::Type_t::i8: {
         auto arr = Napi::Int8Array::New(info.Env(), _tensor.get_size());