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authorGiorgio Arena <giorgio.arena@arm.com>2018-08-20 15:06:07 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:54:54 +0000
commit368e63507ad62dc1607f752302d8db6b7d603f71 (patch)
treeb892c18e339297353794fc5bcb833c28cb547e2d /arm_compute/runtime/NEON/functions/NEFlattenLayer.h
parent125bb5b14e0a42b54e116071d8b0855694b65060 (diff)
downloadComputeLibrary-368e63507ad62dc1607f752302d8db6b7d603f71.tar.gz
COMPMID-1047 Extract Flatten function from Im2Col for NEON
Change-Id: I80f3aaadc8cae8c9ca1a5a239e79bda302b89bd8 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/144813 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
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