From dde9ec96f471127e5b6d8dfaeffce024b6326f1a Mon Sep 17 00:00:00 2001 From: Michele Di Giorgio Date: Tue, 13 Feb 2018 15:24:04 +0000 Subject: COMPMID-909: Enabling in-place computation for batchnormalization and activation at graph level Change-Id: I84d4a212629b21794451ab5fb5c5b187b5e28f98 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/120127 Reviewed-by: Georgios Pinitas Tested-by: Jenkins --- arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h') diff --git a/arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h b/arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h index 242144c987..85c62663ab 100644 --- a/arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h +++ b/arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h @@ -46,7 +46,7 @@ public: NEBatchNormalizationLayer(); /** Set the input and output tensors. * - * @note If the output tensor is a nullptr, the batch normalization function will be performed in-place + * @note If the output tensor is a nullptr or is equal to the input, the batch normalization function will be performed in-place * * @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]. -- cgit v1.2.1