2 files changed, 7 insertions, 2 deletions
diff --git a/arm_compute/runtime/CL/functions/CLGEMM.h b/arm_compute/runtime/CL/functions/CLGEMM.h
index 38a07ef9fb..b267bf1cf2 100644
--- a/arm_compute/runtime/CL/functions/CLGEMM.h
+++ b/arm_compute/runtime/CL/functions/CLGEMM.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2016-2021 Arm Limited.
+ * Copyright (c) 2016-2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -77,6 +77,9 @@ public:
      *
      * @note Whilst the first input tensor can be a vector, the second input tensor must be at least a matrix
      *
+     * @note Batched GEMM only allows RHS tensor's rank to be <= 3
+     * @note Batched GEMM only supports broadcasting cases where RHS rank < LHS rank but not the other way around
+     *
      * @param[in]  compile_context The compile context to be used.
      * @param[in]  a               First input tensor  (Matrix or Vector A). Data types supported: F16/F32
      * @param[in]  b               Second input tensor (Matrix B). Data type supported: same as @p a.
diff --git a/arm_compute/runtime/NEON/functions/NEGEMM.h b/arm_compute/runtime/NEON/functions/NEGEMM.h
index 7ce2521148..db15923165 100644
--- a/arm_compute/runtime/NEON/functions/NEGEMM.h
+++ b/arm_compute/runtime/NEON/functions/NEGEMM.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2022 Arm Limited.
+ * Copyright (c) 2017-2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -66,6 +66,8 @@ public:
      * @note GEMM: General Matrix Multiply - [alpha * A * B + beta * C].
      * @note GEMM: The tensors a, b, c, d must have the same data type. You should not mix data types when calling this function.
      *
+     * @note Batched GEMM only supports broadcasting cases where RHS rank < LHS rank but not the other way around
+     *
      * @param[in]  a         First input tensor  (Matrix A or Vector A). Data type supported: BFLOAT16/F16/F32
      * @param[in]  b         Second input tensor (Matrix B). Data type supported: same as @p a
      * @param[in]  c         Third input tensor  (Matrix C). It can be a nullptr if just the multiplication between @p a and @p b is needed. Data type supported: same as @p a