Export pack_strings() and unpack_strings()

modules/custom_operations/user_ie_extensions/CMakeLists.txt

@@ -101,3 +101,4 @@ endif()
 target_link_libraries(${TARGET_NAME} PRIVATE openvino::runtime)
 
 target_compile_definitions(${TARGET_NAME} PRIVATE ${CUSTOM_OPERATIONS})
+target_include_directories(${TARGET_NAME} PUBLIC ./include/)

modules/custom_operations/user_ie_extensions/include/openvino_extensions/strings.hpp

@@ -0,0 +1,61 @@
+// Copyright (C) 2023 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+//
+
+#pragma once
+
+#include <openvino/runtime/tensor.hpp>
+
+namespace openvino_extensions {
+// Pack any container with string to ov::Tensor with element type u8
+// Requirements for BatchOfStrings: .size() with size and .begin(), .end() as iterators, elements with .begin(), .end() and .size()
+// so basically any STL container with std::string is compatible
+// Tensor destination will be reshaped according the input data
+template <typename BatchOfStrings>
+void pack_strings(const BatchOfStrings& strings, ov::Tensor& destination) {
+    auto batch_size = strings.size();
+
+    // First run over all elements: calculate total memory required to hold all strings
+    size_t symbols_size = std::accumulate(
+        strings.begin(), strings.end(), size_t(0),
+        [](size_t accum, typename BatchOfStrings::const_reference str)
+        { return accum + str.size(); });
+
+    size_t total_size = 4 * (1 + 1 + batch_size) + symbols_size;
+    destination.set_shape({total_size});
+
+    int32_t* pindices = reinterpret_cast<int32_t*>(destination.data<uint8_t>());
+    pindices[0] = batch_size;
+    pindices[1] = 0;
+    pindices += 2;
+    char* psymbols = reinterpret_cast<char*>(pindices + batch_size);
+    size_t current_symbols_pos = 0;
+
+    for (const auto& str: strings) {
+        psymbols = std::copy(str.begin(), str.end(), psymbols);
+        current_symbols_pos += str.size();
+        *pindices = current_symbols_pos;
+	++pindices;
+    }
+}
+
+std::vector<std::string> unpack_strings(const ov::Tensor& source) {
+    int32_t length = source.get_byte_size();
+    // check the format of the input bitstream representing the string tensor
+    OPENVINO_ASSERT(length >= 4, "Incorrect packed string tensor format: no batch size in the packed string tensor");
+    const int32_t* pindices = reinterpret_cast<const int32_t*>(source.data<const uint8_t>());
+    int32_t batch_size = pindices[0];
+    OPENVINO_ASSERT(length >= 4 + 4 + 4 * batch_size,
+        "Incorrect packed string tensor format: the packed string tensor must contain first string offset and end indices");
+    const int32_t* begin_ids = pindices + 1;
+    const int32_t* end_ids = pindices + 2;
+    const char* symbols = reinterpret_cast<const char*>(pindices + 2 + batch_size);
+
+    std::vector<std::string> result;
+    result.reserve(batch_size);
+    for (int32_t idx = 0; idx < batch_size; ++idx) {
+        result.emplace_back(symbols + begin_ids[idx], symbols + end_ids[idx]);
+    }
+    return result;
+}
+}

modules/custom_operations/user_ie_extensions/tokenizer/utils.cpp

@@ -222,58 +222,3 @@ std::shared_ptr<Node> string_attribute_to_constant (const ov::frontend::NodeCont
     return std::make_shared<Constant>(element::u8, Shape{value.length()}, (const void*)value.data());
     #endif
 }
-
-
-// Pack any container with string to ov::Tensor with element type u8
-// Requirements for BatchOfStrings: .size() with size and .begin(), .end() as iterators, elements with .begin(), .end() and .length()
-// so basically any STL container with std::string is compatible
-// Tensor destination will be reshaped according the input data
-template <typename BatchOfStrings>
-void pack_strings (const BatchOfStrings& strings, ov::Tensor& destination) {
-    auto batch_size = strings.size();
-
-    // First run over all elements: calculate total memory required to hold all strings
-    auto symbols_size = std::accumulate(
-        strings.begin(), strings.end(), size_t(0),
-        [](size_t accum, typename BatchOfStrings::const_reference s)
-        { return accum + s.length(); });
-
-    auto total_size = 4*(1 + 1 + batch_size) + symbols_size;
-    destination.set_shape({total_size});
-
-    auto data = destination.data<uint8_t>();
-    auto pbatch_size = reinterpret_cast<int32_t*>(data);
-    auto pindices = pbatch_size + 1;
-    auto psymbols = reinterpret_cast<char*>(pindices + 1 + batch_size);
-    size_t current_symbols_pos = 0;
-
-    *pbatch_size = batch_size;
-    *pindices = 0;
-
-    for(auto s: strings) {
-        psymbols = std::copy(s.begin(), s.end(), psymbols);
-        current_symbols_pos += s.length();
-        *++pindices = current_symbols_pos;
-    }
-}
-
-
-std::vector<std::string> unpack_strings (const ov::Tensor& source) {
-    auto strings = source.data<const uint8_t>();
-    auto length = source.get_byte_size();
-    // check the format of the input bitstream representing the string tensor
-    OPENVINO_ASSERT(length >= 4, "Incorrect packed string tensor format: no batch size in the packed string tensor");
-    auto batch_size = *reinterpret_cast<const int32_t*>(strings + 0);
-    OPENVINO_ASSERT(length >= 4 + 4 + 4 * batch_size,
-        "Incorrect packed string tensor format: the packed string tensor must contain first string offset and end indices");
-    auto begin_ids = reinterpret_cast<const int32_t*>(strings + 4);
-    auto end_ids = begin_ids + 1;
-    auto symbols = strings + 4 + 4 + 4 * batch_size;
-
-    std::vector<std::string> result;
-    result.reserve(batch_size);
-    for(size_t i = 0; i < batch_size; ++i) {
-        result.push_back(std::string(symbols + begin_ids[i], symbols + end_ids[i]));
-    }
-    return result;
-}

modules/custom_operations/user_ie_extensions/tokenizer/utils.hpp

@@ -68,8 +68,3 @@ bool evaluate_normalization_helper (
     std::function<std::string(const std::string&)> normalizer);
 
 std::shared_ptr<ov::Node> string_attribute_to_constant (const ov::frontend::NodeContext& node, const std::string& name);
-
-template <typename BatchOfStrings>
-void pack_strings (const BatchOfStrings& strings, ov::Tensor& destination);
-
-std::vector<std::string> unpack_strings(const ov::Tensor& source);