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authorGeorgios Pinitas <georgios.pinitas@arm.com>2017-11-03 19:01:44 +0000
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:35:24 +0000
commitf9d3a0a12ede4db89348fd924274c9acc6809bb2 (patch)
tree73080e4a230c4db248d6f9e16181eab09c8168dc /arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h
parentd6afedc775220f17317f1835a4d18b72a54525de (diff)
downloadComputeLibrary-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/core/CL/kernels/CLBatchNormalizationLayerKernel.h')
-rw-r--r--arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h18
1 files changed, 18 insertions, 0 deletions
diff --git a/arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h b/arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h
index 26825efba9..a24432145a 100644
--- a/arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h
@@ -63,6 +63,24 @@ public:
* @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 CLBatchNormalizationLayerKernel
+ *
+ * @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(const Window &window, cl::CommandQueue &queue) override;