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Diffstat (limited to 'arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h')
-rw-r--r--arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h6
1 files changed, 3 insertions, 3 deletions
diff --git a/arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h b/arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h
index ab626ad5ec..53eef8d665 100644
--- a/arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h
+++ b/arm_compute/core/NEON/kernels/NESoftmaxLayerKernel.h
@@ -39,7 +39,7 @@ public:
NELogits1DMaxKernel();
/** Set the input and output tensors.
*
- * @param[in] input Source tensor. Data types supported: QS8, F32.
+ * @param[in] input Source tensor. Data types supported: QS8/QS16/F32.
* @param[out] output Destination tensor. Data types supported: same as @p input
*/
void configure(const ITensor *input, ITensor *output);
@@ -74,7 +74,7 @@ public:
~NELogits1DShiftExpSumKernel() = default;
/** Set the input and output tensors.
*
- * @param[in] input Source tensor. Data types supported: QS8, F32.
+ * @param[in] input Source tensor. Data types supported: QS8/QS16/F32.
* @param[in] max Max values tensor. Data types supported: same as @p input.
* @param[out] output Destination tensor. Data types supported: same as @p input.
* @param[out] sum Sum of 1D logits tensor. Data types supported: same as @p input.
@@ -113,7 +113,7 @@ public:
~NELogits1DNormKernel() = default;
/** Set the input and output tensors.
*
- * @param[in] input Source tensor. Data types supported: QS8, F32.
+ * @param[in] input Source tensor. Data types supported: QS8/QS16/F32.
* @param[in] sum Sum tensor. The number of dimensions should be dim(input)-1. Data types supported: same as @p input.
* @param[out] output Destination tensor. Data types supported: same as @p input.
*/