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| author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2019-11-08 12:13:48 +0000 |
|---|---|---|
| committer | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2019-11-12 11:52:32 +0000 |
| commit | 5dea19e58a5521b05e95375c8618a37072697bc0 (patch) | |
| tree | eac3414eb9a5f2290b3bb597e4c6d8e398678355 /arm_compute/graph/backends/FusedDepthwiseConvolutionBatchNormalizationFunction.h | |
| parent | eaa01ab593428bc7267ebbe107b2d813a11b64b5 (diff) | |
| download | ComputeLibrary-5dea19e58a5521b05e95375c8618a37072697bc0.tar.gz | |
COMPMID-2579: Fuse batch normalization with convolution and depthwise convolution at graph level on NEON
Change-Id: Ib263a680bbd2dc1a4947102ee8d6da76b95f02bf
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/2252
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/graph/backends/FusedDepthwiseConvolutionBatchNormalizationFunction.h')
| -rw-r--r-- | arm_compute/graph/backends/FusedDepthwiseConvolutionBatchNormalizationFunction.h | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/graph/backends/FusedDepthwiseConvolutionBatchNormalizationFunction.h b/arm_compute/graph/backends/FusedDepthwiseConvolutionBatchNormalizationFunction.h index 6f70d3c3a0..14474f4ee5 100644 --- a/arm_compute/graph/backends/FusedDepthwiseConvolutionBatchNormalizationFunction.h +++ b/arm_compute/graph/backends/FusedDepthwiseConvolutionBatchNormalizationFunction.h @@ -42,8 +42,8 @@ public: using TensorType = typename TargetInfo::TensorType; using TensorConcreteType = typename TargetInfo::TensorConcreteType; - FusedDepthwiseConvolutionBatchNormalizationFunction() - : _depth_conv_layer(), _fused_batch_norm_layer(), _fused_bias(), _is_prepared(false) + FusedDepthwiseConvolutionBatchNormalizationFunction(std::shared_ptr<IMemoryManager> memory_manager = nullptr) + : _depth_conv_layer(memory_manager), _fused_batch_norm_layer(), _fused_bias(), _is_prepared(false) { } |