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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2017-11-03 19:01:44 +0000 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
commit | f9d3a0a12ede4db89348fd924274c9acc6809bb2 (patch) | |
tree | 73080e4a230c4db248d6f9e16181eab09c8168dc /arm_compute/runtime/CL/functions/CLBatchNormalizationLayer.h | |
parent | d6afedc775220f17317f1835a4d18b72a54525de (diff) | |
download | ComputeLibrary-f9d3a0a12ede4db89348fd924274c9acc6809bb2.tar.gz |
COMPMID-617: Add validation functions.
Added validation routines to the following kernels.
-CLActivationLayer
-CLBatchNormalizationLayer
-CLArithmeticAddition
-CLArithmeticSubtraction
-CLPixelwiseMultiplication
Change-Id: I0f3a03154f9e392279f715af656683cd0ad4cef5
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/94595
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLBatchNormalizationLayer.h')
-rw-r--r-- | arm_compute/runtime/CL/functions/CLBatchNormalizationLayer.h | 20 |
1 files changed, 19 insertions, 1 deletions
diff --git a/arm_compute/runtime/CL/functions/CLBatchNormalizationLayer.h b/arm_compute/runtime/CL/functions/CLBatchNormalizationLayer.h index ffb66bee60..70a201a1f8 100644 --- a/arm_compute/runtime/CL/functions/CLBatchNormalizationLayer.h +++ b/arm_compute/runtime/CL/functions/CLBatchNormalizationLayer.h @@ -51,14 +51,32 @@ public: * @param[in, out] input Source tensor. In case of @p output tensor = nullptr, this tensor will store the result. * 3 lower dimensions represent a single input with dimensions [width, height, FM]. * The rest are optional and used for representing batches. Data types supported: QS8/QS16/F16/F32. + * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data type supported: same as @p input * @param[in] mean Mean values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input * @param[in] var Variance values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input * @param[in] gamma Gamma values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input * @param[in] beta Beta values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input * @param[in] epsilon Small value to avoid division with zero. - * @param[out] output Destination tensor. Output will have the same number of dimensions as input. Data type supported: same as @p input */ void configure(ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *var, const ICLTensor *beta, const ICLTensor *gamma, float epsilon); + /** Static function to check if given info will lead to a valid configuration of @ref CLBatchNormalizationLayer + * + * @param[in] input Source tensor info. In case of @p output tensor info = nullptr, this tensor will store the result. + * 3 lower dimensions represent a single input with dimensions [width, height, FM]. + * @param[in] output Destination tensor info. Output will have the same number of dimensions as input. Data type supported: same as @p input + * The rest are optional and used for representing batches. Data types supported: QS8/QS16/F16/F32. + * @param[in] mean Mean values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input + * @param[in] var Variance values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input + * @param[in] gamma Gamma values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input + * @param[in] beta Beta values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input + * @param[in] epsilon Small value to avoid division with zero. + * + * @return an error status + */ + static Error validate(const ITensorInfo *input, const ITensorInfo *output, + const ITensorInfo *mean, const ITensorInfo *var, + const ITensorInfo *beta, const ITensorInfo *gamma, + float epsilon); // Inherited methods overridden: void run() override; |