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Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEFlattenLayer.h')
-rw-r--r--arm_compute/runtime/NEON/functions/NEFlattenLayer.h4
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEFlattenLayer.h b/arm_compute/runtime/NEON/functions/NEFlattenLayer.h
index db73f52f4a..7b4801cd1c 100644
--- a/arm_compute/runtime/NEON/functions/NEFlattenLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEFlattenLayer.h
@@ -37,7 +37,7 @@ class NEFlattenLayer : public INESimpleFunctionNoBorder
public:
/** Initialise the kernel's input and output.
*
- * @param[in] input First input tensor to flatten with at least 3 dimensions. The dimensions over the third will be interpreted as batches. Data types supported: F16/F32
+ * @param[in] input First input tensor to flatten with at least 3 dimensions. The dimensions over the third will be interpreted as batches. Data types supported: All
* @param[out] output Output tensor with shape [w*h*d, input_batches] where:
* w = width input tensor, h = height input tensor and d = depth input tensor. Data type supported: same as @p input
*/
@@ -46,7 +46,7 @@ public:
/** Static function to check if given info will lead to a valid configuration of @ref NEFlattenLayer
*
* @param[in] input First input tensor to flatten with at least 3 dimensions.
- * The dimensions above the third will be interpreted as batches. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * The dimensions above the third will be interpreted as batches. Data types supported: All
* @param[out] output Output tensor with shape [w*h*d, input_batches] where:
* w = width input tensor, h = height input tensor and d = depth input tensor. Data type supported: same as @p input
*