3 files changed, 10 insertions, 3 deletions
diff --git a/src/core/NEON/kernels/NEScaleKernel.cpp b/src/core/NEON/kernels/NEScaleKernel.cpp
index a2a44fca18..80da54f50a 100644
--- a/src/core/NEON/kernels/NEScaleKernel.cpp
+++ b/src/core/NEON/kernels/NEScaleKernel.cpp
@@ -227,7 +227,7 @@ inline void scale_bilinear_nhwc_core(const ITensor *input, const ITensor *offset
         border_value = static_cast<T>(constant_border_value.get<ConstType>());
     }
 
-    auto is_valid = [](int x, int low_x, int high_x, int y, int low_y, int high_y)
+    auto is_valid = [](int64_t x, int64_t low_x, int64_t high_x, int64_t y, int64_t low_y, int64_t high_y)
     {
         return !(x < low_x || x > high_x || y < low_y || y > high_y);
     };
diff --git a/src/core/utils/helpers/tensor_transform.cpp b/src/core/utils/helpers/tensor_transform.cpp
index f6a54a59ee..cd874b24b3 100644
--- a/src/core/utils/helpers/tensor_transform.cpp
+++ b/src/core/utils/helpers/tensor_transform.cpp
@@ -88,7 +88,14 @@ int calculate_end_on_index(TensorShape input_shape, int index, int start_on_inde
     // Shrink dimension
     if(shrink_axis)
     {
-        stop = start_on_index + 1;
+        if(start_on_index == std::numeric_limits<int>::max())
+        {
+            stop = start_on_index;
+        }
+        else
+        {
+            stop = start_on_index + 1;
+        }
     }
 
     // Reset in case of begin mask present
diff --git a/src/runtime/CL/functions/CLCropResize.cpp b/src/runtime/CL/functions/CLCropResize.cpp
index b22809eb09..5e1278df5b 100644
--- a/src/runtime/CL/functions/CLCropResize.cpp
+++ b/src/runtime/CL/functions/CLCropResize.cpp
@@ -48,7 +48,7 @@ inline void configure_crop(const ICLTensor *input, ICLTensor *crop_boxes, ICLTen
                         std::floor(y0 * (input->info()->tensor_shape()[2] - 1) + 0.5f));
     end = Coordinates(std::floor(x1 * (input->info()->tensor_shape()[1] - 1) + 0.5f),
                       std::floor(y1 * (input->info()->tensor_shape()[2] - 1) + 0.5f));
-    const TensorShape out_shape(input->info()->tensor_shape()[0], abs(end[0] - start[0]) + 1, abs(end[1] - start[1]) + 1);
+    const TensorShape out_shape(input->info()->tensor_shape()[0], static_cast<uint32_t>(abs(end[0] - start[0])) + 1, static_cast<uint32_t>(abs(end[1] - start[1])) + 1);
     output->info()->set_tensor_shape(out_shape);
 }