[GPU] Treat warnings C4267 as errors for Windows (#16345)

src/plugins/intel_gpu/CMakeLists.txt

@@ -15,7 +15,6 @@ endif()
 if(CMAKE_CXX_COMPILER_ID STREQUAL "MSVC")
     # 4267 4244 conversion from 'XXX' to 'YYY', possible loss of data
     ie_add_compiler_flags(/wd4244)
-    ie_add_compiler_flags(/wd4267)
     # '<': signed/unsigned mismatch
     ie_add_compiler_flags(/wd4018)
 endif()

src/plugins/intel_gpu/src/graph/impls/ocl/primitive_base.hpp

@@ -294,7 +294,7 @@ protected:
         if (is_cpu())
             return;
 
-        size_t total_kernels_num = std::accumulate(kernels.begin(), kernels.end(), 0,
+        size_t total_kernels_num = std::accumulate(kernels.begin(), kernels.end(), static_cast<size_t>(0),
             [](size_t val, cldnn::kernels_cache::compiled_kernels::value_type& p) {
                 return (val + p.second.size());
             });

src/plugins/intel_gpu/src/kernel_selector/kernels/scatter_update/scatter_nd_update_kernel_ref.cpp

@@ -132,7 +132,7 @@ static std::string GetInputBlockND(const scatter_nd_update_params& params, size_
     block_nd_s[rank] = "1";
     size_t input_offset = dyn_offset * 6;
 
-    for (int32_t idx = rank - 1; idx >= 0; --idx) {
+    for (int32_t idx = static_cast<int32_t>(rank) - 1; idx >= 0; --idx) {
         block_nd[idx] = input_dims[idx] * block_nd[idx + 1];
 
         size_t dim_offset = idx < 2 ? idx : (6 - dims.size()) + idx; // convert to 6d bfwzyx idx

src/plugins/intel_gpu/src/plugin/ops/gather.cpp

@@ -61,7 +61,7 @@ void CreateGatherOpBase(Program& p, const std::shared_ptr<T>& op, const int64_t
                 new_axis += op->get_input_shape(0).size();
             }
             out_shape.push_back(1);
-            for (int i = out_shape.size() - 1; i > new_axis ; i--) {
+            for (int i = static_cast<int>(out_shape.size()) - 1; i > new_axis ; i--) {
                 out_shape[i] = out_shape[i-1];
             }
             out_shape[new_axis] = 1;

src/plugins/intel_gpu/tests/test_cases/scatter_nd_update_gpu_test.cpp

@@ -4484,7 +4484,7 @@ TEST(scatter_nd_update_gpu, dynamic_5d) {
                                ov::Shape input_shape,
                                ov::Shape indices_shape,
                                ov::Shape updates_shape) -> std::vector<float> {
-        size_t count = std::accumulate(input_shape.begin(), input_shape.end(), 1, std::multiplies<size_t>());
+        size_t count = std::accumulate(input_shape.begin(), input_shape.end(), static_cast<size_t>(1), std::multiplies<size_t>());
         auto outputs_ref = std::vector<float>(count);
         ngraph::runtime::reference::scatterNdUpdate<float, int32_t>(input.data(),
                                                                     indices.data(),
@@ -4503,12 +4503,17 @@ TEST(scatter_nd_update_gpu, dynamic_5d) {
         std::vector<int32_t> result;
         size_t last_indices_dim = indices_shape.at(indices_shape.size() - 1);
 
-        size_t count = std::accumulate(indices_shape.begin(), indices_shape.end(), 1, std::multiplies<size_t>()) / last_indices_dim;
+        size_t count = std::accumulate(indices_shape.begin(),
+                                       indices_shape.end(),
+                                       static_cast<size_t>(1),
+                                       std::multiplies<size_t>()) / last_indices_dim;
 
         while (unique_indices.size() != count) {
             std::vector<int32_t> indices;
             for (size_t i = 0; i < last_indices_dim; i++) {
-                indices.push_back(static_cast<int32_t>(generate_random_val<int>(0, data_shape[i] - 1)));
+                const int min = 0;
+                const int max = static_cast<int>(data_shape[i]) - 1;
+                indices.push_back(static_cast<int32_t>(generate_random_val<int>(min, max)));
             }
 
             unique_indices.insert(indices);