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Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEFlattenLayer.h')
-rw-r--r--arm_compute/runtime/NEON/functions/NEFlattenLayer.h17
1 files changed, 12 insertions, 5 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEFlattenLayer.h b/arm_compute/runtime/NEON/functions/NEFlattenLayer.h
index 2c259fa178..26d7c7f636 100644
--- a/arm_compute/runtime/NEON/functions/NEFlattenLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEFlattenLayer.h
@@ -31,11 +31,7 @@ namespace arm_compute
{
class ITensor;
-/** Basic function to execute flatten. This function calls the following NEON kernel:
-*
-* -# @ref NEIm2ColKernel
-*
-*/
+/** Basic function to execute flatten layer kernel. */
class NEFlattenLayer : public INESimpleFunction
{
public:
@@ -46,6 +42,17 @@ public:
* w = width input tensor, h = height input tensor and d = depth input tensor. Data type supported: same as @p input
*/
void configure(const ITensor *input, ITensor *output);
+
+ /** 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
+ * @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
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *input, const ITensorInfo *output);
};
} // namespace arm_compute