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author | Giorgio Arena <giorgio.arena@arm.com> | 2018-08-20 15:06:07 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
commit | 368e63507ad62dc1607f752302d8db6b7d603f71 (patch) | |
tree | b892c18e339297353794fc5bcb833c28cb547e2d /arm_compute/runtime/NEON/functions/NEFlattenLayer.h | |
parent | 125bb5b14e0a42b54e116071d8b0855694b65060 (diff) | |
download | ComputeLibrary-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.h | 17 |
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 |