COMPMID-2273: Fuse Batch Normalization with Depthwise Convolution layer at graph level (only for CL)

Change-Id: I1d941c6e66722f39583bf68148c980bb28ff89a1
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1423
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 1 insertions, 3 deletions

diff --git a/arm_compute/graph/nodes/FusedConvolutionBatchNormalizationNode.h b/arm_compute/graph/nodes/FusedConvolutionBatchNormalizationNode.h
index 9b0f5b7ade..c124c982cd 100644
--- a/arm_compute/graph/nodes/FusedConvolutionBatchNormalizationNode.h
+++ b/arm_compute/graph/nodes/FusedConvolutionBatchNormalizationNode.h
@@ -41,14 +41,13 @@ public:
      * @param[in] num_groups       (Optional) Number of groups (Defaults to 1)
      * @param[in] method           (Optional) Convolution method to use
      * @param[in] fast_math_hint   (Optional) Fast math hint
-     * @param[in] out_quant_info   (Optional) Output quantization info
      * @param[in] fused_activation (Optional) Fused activation layer. Disabled if not specified
      */
     FusedConvolutionBatchNormalizationNode(float epsilon, PadStrideInfo info,
                                            unsigned int      num_groups     = 1,
                                            ConvolutionMethod method         = ConvolutionMethod::Default,
                                            FastMathHint      fast_math_hint = FastMathHint::Disabled,
-                                           QuantizationInfo out_quant_info = QuantizationInfo(), ActivationLayerInfo fused_activation = ActivationLayerInfo());
+                                           ActivationLayerInfo fused_activation = ActivationLayerInfo());
 
     /** Epsilon parameter accessor
      *
@@ -135,7 +134,6 @@ private:
     unsigned int        _num_groups;
     ConvolutionMethod   _method;
     FastMathHint        _fast_math_hint;
-    QuantizationInfo    _out_quant_info;
     ActivationLayerInfo _fused_activation;
 };