diff --git a/ggml/src/ggml-cann/acl_tensor.h b/ggml/src/ggml-cann/acl_tensor.h
index 3856695b889af..d08659356da6d 100644
--- a/ggml/src/ggml-cann/acl_tensor.h
+++ b/ggml/src/ggml-cann/acl_tensor.h
@@ -31,7 +31,7 @@
  *
  * @details	This function takes a ggml_type as input and returns the corresponding
  *			aclDataType. It supports mapping for various ggml_types. If the input type
- *			does not match any of the predefined ggml_types, the function returns 
+ *			does not match any of the predefined ggml_types, the function returns
  *          ACL_DT_UNDEFINED.
  *
  * @param	type    The ggml_type to be mapped.
@@ -51,7 +51,7 @@ aclDataType type_mapping(ggml_type type);
  * @param   tensor      Pointer to the ggml_tensor to be converted to ACL tensor.
  * @param   ne          Pointer to an array containing dimensions. Defaults to nullptr
  *                      if no customer shape is applied.
- * @param   nb          Pointer to an array containing strides. Defaults to nullptr 
+ * @param   nb          Pointer to an array containing strides. Defaults to nullptr
  *                      if no customer shape is applied.
  * @param   dims        Number of dimensions in the tensor. Defaults to 0 if no customer
  *                      shape is applied.
@@ -132,7 +132,7 @@ bool need_bcast(const ggml_tensor* t0, const ggml_tensor* t1);
  *          that src1 can be element-wise broadcasted to src0's shape.
  *
  *  How it works:
- * 
+ *
  *  if dim0 has padding.
  *  a -> (2, 2) padding = 2
  *   a: [[1, 2, *, *]
diff --git a/ggml/src/ggml-cann/aclnn_ops.cpp b/ggml/src/ggml-cann/aclnn_ops.cpp
index e55e856985ab4..00573d0e2307f 100644
--- a/ggml/src/ggml-cann/aclnn_ops.cpp
+++ b/ggml/src/ggml-cann/aclnn_ops.cpp
@@ -109,9 +109,9 @@ void ggml_cann_repeat(ggml_backend_cann_context& ctx, ggml_tensor* dst) {
  * @brief Adds two tensors element-wise and stores the result in a destination
  * tensor.
  *
- * This function performs the operation: 
+ * This function performs the operation:
  * \f[
- *    dst = acl\_src0 + alpha \times acl\_src1 
+ *    dst = acl\_src0 + alpha \times acl\_src1
  * \f]
  * where alpha is a scalar value and defaults to 1.0f.
  *
@@ -250,9 +250,9 @@ void ggml_cann_concat(ggml_backend_cann_context& ctx, ggml_tensor* dst) {
  * @brief Creates a tensor with values starting from `start`, incremented by
  * `step`, and ending before `stop`.
  *
- * This function performs the operation: 
+ * This function performs the operation:
  * \f[
- *    \text {out }_{i+1}=\text {out }_i+\text {step} 
+ *    \text {out }_{i+1}=\text {out }_i+\text {step}
  * \f]
  * the range is [start, stop).
  *
@@ -1568,7 +1568,7 @@ static void aclnn_mul(ggml_backend_cann_context& ctx,
 
 /**
  * @brief Applies element-wise cosine function to the elements of a tensor.
- * 
+ *
  * This function computes the cosine of each element in the source tensor `acl_src`
  * and stores the result in the destination tensor `acl_dst`.
  * The operation is defined as:
@@ -1598,7 +1598,7 @@ static void aclnn_cos(ggml_backend_cann_context& ctx, aclTensor* acl_src,
 
 /**
  * @brief Applies element-wise sine function to the elements of a tensor.
- * 
+ *
  * This function computes the sine of each element in the source tensor `acl_src`
  * and stores the result in the destination tensor `acl_dst`.
  * The operation is defined as:
diff --git a/ggml/src/ggml-cann/aclnn_ops.h b/ggml/src/ggml-cann/aclnn_ops.h
index c9be96ec73e32..2a0c001c95edb 100644
--- a/ggml/src/ggml-cann/aclnn_ops.h
+++ b/ggml/src/ggml-cann/aclnn_ops.h
@@ -308,7 +308,7 @@ void ggml_cann_upsample_nearest2d(ggml_backend_cann_context& ctx,
 void ggml_cann_pad(ggml_backend_cann_context& ctx, ggml_tensor* dst);
 
 /**
- * @brief   Executes a 2D pooling operation on a ggml tensor using the CANN 
+ * @brief   Executes a 2D pooling operation on a ggml tensor using the CANN
  *          backend.
  *
  * @details This function dispatches the execution of a 2D pooling operation on
@@ -355,7 +355,7 @@ void ggml_cann_dup(ggml_backend_cann_context& ctx, ggml_tensor* dst);
  *          prevent division by zero.
  *          The operation is defined as:
  *          \f[
- *               \text{RmsNorm}\left(x_i\right)=\frac{x_i}{\text{Rms}(\mathbf{x})} g_i, 
+ *               \text{RmsNorm}\left(x_i\right)=\frac{x_i}{\text{Rms}(\mathbf{x})} g_i,
  *               \quad \text { where } \text{Rms}(\mathbf{x})=\sqrt{\frac{1}{n} \sum_{i=1}^n x_i^2+e p s}
  *          \f]
  *          `eps` is in dst->op_params.