COMPMID-1330: Add support for NormalizePlanarYUV operator in CL
Change-Id: Id0754b9e2bc3ef7ff2c4c21c3b89709588c41bd3
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/146637
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
diff --git a/arm_compute/runtime/GLES_COMPUTE/functions/GCNormalizePlanarYUVLayer.h b/arm_compute/runtime/GLES_COMPUTE/functions/GCNormalizePlanarYUVLayer.h
index 2862eeb..d6cf4d0 100644
--- a/arm_compute/runtime/GLES_COMPUTE/functions/GCNormalizePlanarYUVLayer.h
+++ b/arm_compute/runtime/GLES_COMPUTE/functions/GCNormalizePlanarYUVLayer.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017 ARM Limited.
+ * Copyright (c) 2017-2018 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -44,14 +44,26 @@
GCNormalizePlanarYUVLayer();
/** Set the input and output tensors.
*
- * @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, FM].
+ * @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, channels].
* Data types supported: F16.
- * @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] sd Standard deviation values tensor. 1 dimension with size equal to the feature maps [FM].
- * Data types supported: Same as @p input
+ * @param[out] output Destination tensor. Data type supported: same as @p input
+ * @param[in] mean Mean values tensor. 1 dimension with size equal to the number of input channels. Data types supported: same as @p input
+ * @param[in] std Standard deviation values tensor. 1 dimension with size equal to the number of input channels.
+ * Data types supported: same as @p input
*/
- void configure(const IGCTensor *input, IGCTensor *output, const IGCTensor *mean, const IGCTensor *sd);
+ void configure(const IGCTensor *input, IGCTensor *output, const IGCTensor *mean, const IGCTensor *std);
+ /** Static function to check if given info will lead to a valid configuration of @ref CLNormalizePlanarYUVLayer
+ *
+ * @param[in] input Source tensor info. 3 lower dimensions represent a single input with dimensions [width, height, channels].
+ * Data types supported: F16/F32.
+ * @param[out] output Destination tensor info. Data type supported: same as @p input
+ * @param[in] mean Mean values tensor info. 1 dimension with size equal to the number of input channels. Data types supported: same as @p input
+ * @param[in] std Standard deviation values tensor info. 1 dimension with size equal to the number of input channels.
+ * Data types supported: same as @p input
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *std);
// Inherited methods overridden:
void run() override;