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Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h')
-rw-r--r--arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h5
1 files changed, 2 insertions, 3 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h b/arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h
index 5c8200beda..242144c987 100644
--- a/arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h
@@ -58,6 +58,7 @@ public:
* @param[in] gamma Gamma values tensor. 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.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU supported.
+ * Data types supported: F32
*/
void configure(ITensor *input, ITensor *output, const ITensor *mean, const ITensor *var, const ITensor *beta, const ITensor *gamma, float epsilon,
ActivationLayerInfo act_info = ActivationLayerInfo());
@@ -73,6 +74,7 @@ public:
* @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] epsilon Small value to avoid division with zero.
* @param[in] act_info (Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU supported.
+ * Data types supported: F32
*
* @return a status
*/
@@ -86,9 +88,6 @@ public:
private:
NEBatchNormalizationLayerKernel _norm_kernel; /**< Batch normalization layer kernel */
- // COMPMID-906 Use fused activation in NEON Batch normalization
- NEActivationLayer _act_func;
- bool _act_info_enabled;
};
}
#endif /* __ARM_COMPUTE_NEBATCHNORMALIZATIONLAYER_H__ */