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authorManuel Bottini <manuel.bottini@arm.com>2020-04-08 10:15:51 +0100
committerManuel Bottini <manuel.bottini@arm.com>2020-04-17 14:10:38 +0000
commit4c6bd514a8d424a29b776754f1b3426fa3a8c339 (patch)
treeed20ea238ae069ab138b62ea6879e0c1b955b606 /arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h
parentd2f6d96cdc2ad2169c4abd0a8c4884f61ed6d186 (diff)
downloadComputeLibrary-4c6bd514a8d424a29b776754f1b3426fa3a8c339.tar.gz
COMPMID-3280: Make all ML primitives for CL use the new interface - Part 1
- Only CLKernels have been updated Change-Id: Ife55b847c2e39e712a186eb6ca452503d5b66937 Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3001 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h')
-rw-r--r--arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h11
1 files changed, 11 insertions, 0 deletions
diff --git a/arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h b/arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h
index 4334882fd8..addd3942eb 100644
--- a/arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.h
@@ -57,6 +57,17 @@ public:
* Data types supported: same as @p input
*/
void configure(const ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *std);
+ /** Set the input and output tensors.
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] input Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, channels].
+ * Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
+ * @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(CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *std);
/** Static function to check if given info will lead to a valid configuration of @ref CLNormalizePlanarYUVLayerKernel
*
* @param[in] input Source tensor info. 3 lower dimensions represent a single input with dimensions [width, height, channels].