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-rw-r--r--src/cpu/operators/CpuGemm.h4
-rw-r--r--src/gpu/cl/operators/ClGemm.h5
2 files changed, 7 insertions, 2 deletions
diff --git a/src/cpu/operators/CpuGemm.h b/src/cpu/operators/CpuGemm.h
index 031f02b3fd..bc8adaec32 100644
--- a/src/cpu/operators/CpuGemm.h
+++ b/src/cpu/operators/CpuGemm.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2021-2022 Arm Limited.
+ * Copyright (c) 2021-2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -81,6 +81,8 @@ 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 info (Matrix A or Vector A). Data type supported: BFLOAT16/F16/F32
* @param[in] b Second input tensor info (Matrix B). Data type supported: same as @p a
* @param[in] c Third input tensor info (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
diff --git a/src/gpu/cl/operators/ClGemm.h b/src/gpu/cl/operators/ClGemm.h
index aac463f0b8..ea8a058fd5 100644
--- a/src/gpu/cl/operators/ClGemm.h
+++ b/src/gpu/cl/operators/ClGemm.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2016-2022 Arm Limited.
+ * Copyright (c) 2016-2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -75,6 +75,9 @@ 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.