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authorMichele Di Giorgio <michele.digiorgio@arm.com>2018-11-20 12:31:24 +0000
committerMichele Di Giorgio <michele.digiorgio@arm.com>2018-11-22 11:17:19 +0000
commit9d3a831d4131f8a8b37f127f11d36848d33e8496 (patch)
tree5ba1ab6ee69da474175ab82eda7ead31298af4c6 /arm_compute/runtime/CL/functions/CLNormalizationLayer.h
parent3112e33d8d0b987e85107390a0350bd5988f5f01 (diff)
downloadComputeLibrary-9d3a831d4131f8a8b37f127f11d36848d33e8496.tar.gz
COMPMID-1648: CLNormalizationLayer IN_MAP_2D support for NHWC for FP32/FP16
Change-Id: I49f1d865f5e7562f1d80db849353a89ef77e6a9e
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLNormalizationLayer.h')
-rw-r--r--arm_compute/runtime/CL/functions/CLNormalizationLayer.h7
1 files changed, 5 insertions, 2 deletions
diff --git a/arm_compute/runtime/CL/functions/CLNormalizationLayer.h b/arm_compute/runtime/CL/functions/CLNormalizationLayer.h
index 89e20d20f6..1ed87fde27 100644
--- a/arm_compute/runtime/CL/functions/CLNormalizationLayer.h
+++ b/arm_compute/runtime/CL/functions/CLNormalizationLayer.h
@@ -51,16 +51,19 @@ public:
/** Set the input and output tensors.
*
* @param[in, out] input Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM],
- * and an optional 4th dimension for batch of inputs. Data types supported: F16/F32 (Written to by the border handler)
+ * and an optional 4th dimension for batch of inputs. Data types supported: F16/F32 (Written to by the border handler).
+ * Data layouts supported: NCHW/NHWC.
* @param[out] output Destination tensor. Dimensions, data type and number of channels must match the input ones.
+ * Data types supported: same as @p input. Data layouts supported: same as @p input.
* @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters.
*/
void configure(ICLTensor *input, ICLTensor *output, const NormalizationLayerInfo &norm_info);
/** Static function to check if given info will lead to a valid configuration of @ref CLNormalizationLayer
*
* @param[in] input Source tensor. 3 lower dims represent a single input with dimensions [width, height, IFM],
- * and an optional 4th dimension for batch of inputs. Data types supported: F16/F32
+ * and an optional 4th dimension for batch of inputs. Data types supported: F16/F32. Data layouts supported: NCHW/NHWC.
* @param[in] output Destination tensor. Dimensions, data type and number of channels must match the input ones.
+ * Data layouts supported: same as @p input.
* @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters.
*
* @return a status