diff --git a/ttnn/cpp/ttnn/operations/data_movement/reshape_view/reshape.cpp b/ttnn/cpp/ttnn/operations/data_movement/reshape_view/reshape.cpp
index 63f9fdd7c045..e45f0805b824 100644
--- a/ttnn/cpp/ttnn/operations/data_movement/reshape_view/reshape.cpp
+++ b/ttnn/cpp/ttnn/operations/data_movement/reshape_view/reshape.cpp
@@ -35,6 +35,7 @@ ttnn::Tensor host_reshape(const ttnn::Tensor& tensor, const ttnn::Shape& shape)
         ttnn::Tensor slice_input;
         std::vector<uint32_t> begins;
         std::vector<uint32_t> ends;
+        TT_FATAL(tensor_shape.rank() <= 4, "Only up to 4D tensors");
         auto host_tensor_4d = unsqueeze_to_4D(rm_tensor);
         auto tensor_shape_4d = host_tensor_4d.shape();
         begins = std::vector<uint32_t>({0, 0, 0, 0});
@@ -98,14 +99,19 @@ ttnn::Tensor row_major_reshape(const ttnn::Tensor& tensor, const ttnn::Shape& sh
 
 }
 
-ttnn::Shape get_shape_from_vector(const ttnn::Tensor& tensor, const std::vector<int32_t> & shape) {
+ttnn::Shape get_shape_from_vector_with_possible_negative_values(const ttnn::Tensor& tensor, const std::vector<int32_t> & shape) {
     std::int64_t new_volume = 1;
     std::int64_t index_of_negative_1 = -1;
 
     for (auto index = 0; index < shape.size(); ++index) {
         if (shape[index] == -1) {
             if (index_of_negative_1 != -1) {
-                TT_THROW("Shape cannot have more than 1 elements that is set to -1!");
+                std::string error_msg = "Shape cannot have more than 1 elements that is set to -1! Shape used: (";
+                for(auto & s: shape) {
+                    error_msg += std::to_string(s) + ",";
+                }
+                error_msg += ")";
+                TT_THROW(error_msg.c_str());
             }
             index_of_negative_1 = index;
         }
@@ -153,7 +159,7 @@ ttnn::Tensor ReshapeViewOperation::invoke(
     const std::vector<int32_t> & shape_vector
     ) {
 
-    auto shape = detail::get_shape_from_vector(tensor, shape_vector);
+    auto shape = detail::get_shape_from_vector_with_possible_negative_values(tensor, shape_vector);
     return invoke(tensor, shape);
 }