elferherrera commented on a change in pull request #8129:
URL: https://github.com/apache/arrow/pull/8129#discussion_r484591510



##########
File path: rust/arrow/src/tensor.rs
##########
@@ -112,13 +123,44 @@ impl<'a, T: ArrowPrimitiveType> Tensor<'a, T> {
                         )
                     })
                     .next();
+
+                let total_elements: usize = s.iter().product();
+                assert_eq!(
+                    total_elements, 
+                    buffer.len() / mem::size_of::<T::Native>(),
+                    "number of elements in buffer does not match dimensios"
+                );
             }
         };
+
+        // Checking that the tensor strides used for construction are correct
+        // otherwise a row major stride is calculated and used as value for 
the tensor
+        let tensor_strides = {
+            if let Some(val) = strides {
+                if let Some(ref s) = shape {
+                    if compute_row_major_strides::<T>(s) == val || 
compute_column_major_strides::<T>(s) == val {
+                        Some(val)
+
+                    } else {
+                        panic!("the input stride does not match the selected 
shape")

Review comment:
       Sure. That's a good idea. I could implement it like that. I was also 
wondering if it is worthy to implement other type of constructors, something 
similar to the ones you can find in pytorch. I think strides shouldn't be a 
parameter that the user has to input, but instead a parameter that is 
calculated and modified internally. 




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