fix doc

docs/framework/operators/tensor/README.md

@@ -106,7 +106,7 @@ use orion::operators::tensor::TensorTrait;
 | [`tensor.reduce_l2`](tensor.reduce\_l2.md) | Computes the L2 norm of the input tensor's elements along the provided axes. |
 | [`tensor.gather_elements`](tensor.gather\_elements.md) | GatherElements is an indexing operation that produces its output by indexing into the input data tensor at index positions determined by elements of the indices tensor. |
 | [`tensor.reduce_min`](tensor.reduce\_min.md) | Computes the min of the input tensor's elements along the provided axes. |
-| [`tensor.sequence_construct`](tensor.sequence\_construct.md) | Constructs a tensor sequence containing the input tensors. |
+| [`tensor.sequence_empty`](tensor.sequence\_empty.md) | Returns an empty tensor sequence. |
 | [`tensor.sequence_length`](tensor.sequence\_length.md) | Returns the length of the input sequence. |
 | [`tensor.sequence_insert`](tensor.sequence\_insert.md) | Insert a tensor into a sequence. |
 | [`tensor.sequence_at`](tensor.sequence\_at.md) | Outputs the tensor at the specified position in the input sequence. |

docs/framework/operators/tensor/tensor.array_feature_extractor.md

@@ -23,7 +23,6 @@ A new `Tensor<T>` of the same shape as the input tensor with selected elements b
 
 ```rust
 use array::{ArrayTrait, SpanTrait};
-
 use orion::operators::tensor::{TensorTrait, Tensor, I32Tensor, U32Tensor};
 use orion::numbers::{i32, IntegerTrait};
 

docs/framework/operators/tensor/tensor.is_inf.md

@@ -20,8 +20,7 @@ A new `Tensor<bool>` instance with entries set to true iff the input tensors cor
 ## Examples
 
 ```rust
-use array::{ArrayTrait, SpanTrait};
-
+use array::{ArrayTrait, SpanTrait};    
 use orion::operators::tensor::{BoolTensor, TensorTrait, Tensor, U32Tensor};
 
 fn is_inf_example() -> Tensor<bool> {

docs/framework/operators/tensor/tensor.reduce_min.md

@@ -33,7 +33,7 @@ fn reduce_min_example() -> Tensor<u32> {
         shape: array![2, 2, 2].span(), data: array![0, 1, 2, 3, 4, 5, 6, 7].span(),
     );
 
-    // We can call `reduce_mean` function as follows.
+    // We can call `reduce_min` function as follows.
     return tensor.reduce_min(axes: array![1].span(), 
         keepdims: Option::None(()), 
         noop_with_empty_axes:  Option::None(()));

src/operators/tensor/core.cairo

@@ -3745,7 +3745,7 @@ trait TensorTrait<T> {
     /// 
     /// use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor};
     ///
-    /// fn xor_example() -> Tensor<usize> {
+    /// fn and_example() -> Tensor<usize> {
     ///     let tensor_1 = TensorTrait::<u32>::new(
     ///         shape: array![3, 3].span(), data: array![0, 1, 2, 3, 4, 5, 6, 7, 8].span(),
     ///     );
@@ -3837,7 +3837,7 @@ trait TensorTrait<T> {
     /// 
     /// use orion::operators::tensor::{TensorTrait, Tensor, U32Tensor};
     ///
-    /// fn and_example() -> Tensor<usize> {
+    /// fn xor_example() -> Tensor<usize> {
     ///     let tensor_1 = TensorTrait::<u32>::new(
     ///         shape: array![3, 3].span(), data: array![0, 1, 2, 3, 4, 5, 6, 7, 8].span(),
     ///     );
@@ -4130,6 +4130,11 @@ trait TensorTrait<T> {
     /// ## Returns
     ///
     /// A new `Tensor<T>` of the same shape as the input tensor with selected elements based on provided indices.
+    ///
+    /// ## Example
+    ///
+    /// ```rust
+    /// use array::{ArrayTrait, SpanTrait};
     /// use orion::operators::tensor::{TensorTrait, Tensor, I32Tensor, U32Tensor};
     /// use orion::numbers::{i32, IntegerTrait};
     /// 
@@ -4706,6 +4711,8 @@ trait TensorTrait<T> {
     ///
     /// ## Examples
     ///
+    /// ```rust
+    /// use array::{ArrayTrait, SpanTrait};    
     /// use orion::operators::tensor::{BoolTensor, TensorTrait, Tensor, U32Tensor};
     ///
     /// fn is_inf_example() -> Tensor<bool> {