diff options
| author | Giorgio Arena <giorgio.arena@arm.com> | 2018-07-05 14:59:41 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:10 +0000 |
| commit | 9ebd04073f80f88515c4056a9d8bdda2641a4697 (patch) | |
| tree | 374f5169bd439db1b26fa79a8527246b63d53eee /arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h | |
| parent | 2fab0c2a5e4fc671659fd6ea31ee35fe227d5d5a (diff) | |
| download | ComputeLibrary-9ebd04073f80f88515c4056a9d8bdda2641a4697.tar.gz | |
COMPMID-1354 Add support for NHWC in CLBatchNormalization's documentation
Change-Id: I562daf5dc6084ba597e930ae1e4b79e62f7395a7
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/138902
Reviewed-by: Michele DiGiorgio <michele.digiorgio@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h')
| -rw-r--r-- | arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h b/arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h index 9c8d02532a..73d15e2ccd 100644 --- a/arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h +++ b/arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h @@ -54,7 +54,7 @@ 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: F16/F32. + * The rest are optional and used for representing batches. Data types supported: F16/F32. Data layouts supported: NCHW/NHWC. * @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 @@ -69,7 +69,7 @@ public: * * @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]. - * The rest are optional and used for representing batches. Data types supported: F16/F32. + * The rest are optional and used for representing batches. Data types supported: F16/F32. Data layouts supported: NCHW/NHWC. * @param[in] output Destination tensor info. Output will have the same number of dimensions as input. Data type supported: same as @p input * @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 |