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authorManuel Bottini <manuel.bottini@arm.com>2019-07-24 15:42:31 +0100
committerGian Marco Iodice <gianmarco.iodice@arm.com>2019-08-01 14:24:33 +0000
commit169cda3793ce4900b2bf103739f04bb83b1b6aae (patch)
tree92912a5ba91aa15b00b195dbc6b05e5610d4ec77
parent6d7840205e5b17d845728f83376b7df7b12d6fd7 (diff)
downloadComputeLibrary-169cda3793ce4900b2bf103739f04bb83b1b6aae.tar.gz
COMPMID-2055: Fusion of ConvolutionLayer with BatchNormalization at graph only for CL
Change-Id: Ibdd0c56c1f59205dcaf15ca504b6e9c7fb30f34a Signed-off-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-on: https://review.mlplatform.org/c/1618 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Gian Marco Iodice <gianmarco.iodice@arm.com>
-rw-r--r--src/graph/mutators/NodeFusionMutator.cpp4
1 files changed, 2 insertions, 2 deletions
diff --git a/src/graph/mutators/NodeFusionMutator.cpp b/src/graph/mutators/NodeFusionMutator.cpp
index 83177a8431..9e963091e6 100644
--- a/src/graph/mutators/NodeFusionMutator.cpp
+++ b/src/graph/mutators/NodeFusionMutator.cpp
@@ -307,11 +307,11 @@ void NodeFusionMutator::mutate(Graph &g)
detail::fuse_layer<ConvolutionLayerNode, ActivationLayerNode>(g, empty_prec, detail::fuse_node_with_activation<ConvolutionLayerNode>, supported_fused_activations);
detail::fuse_layer<DepthwiseConvolutionLayerNode, ActivationLayerNode>(g, qs8_prec, detail::fuse_node_with_activation<DepthwiseConvolutionLayerNode>, supported_fused_activations);
- // TODO (COMPMID-2055): re-enable once we fuse bias and activations to convolution
- // detail::fuse_layer<ConvolutionLayerNode, BatchNormalizationLayerNode>(g, empty_prec, detail::fuse_convolution_with_batch_normalization);
+ // TODO (COMPMID-2524): Fuse batch normalization with convolution and depthwise convolution at graph level for NEON
if(target == Target::CL)
{
//Depthwise Convolution and Batch Normalization Fusion active only for CL
+ detail::fuse_layer<ConvolutionLayerNode, BatchNormalizationLayerNode>(g, empty_prec, detail::fuse_convolution_with_batch_normalization);
detail::fuse_layer<DepthwiseConvolutionLayerNode, BatchNormalizationLayerNode>(g, empty_prec, detail::fuse_depthwise_convolution_with_batch_normalization);
}
}