From b75d62430e9871fcc6f19cf82879f65d2e7fb201 Mon Sep 17 00:00:00 2001 From: ramelg01 Date: Fri, 26 Nov 2021 19:12:40 +0000 Subject: Graph Fusion With Post Ops Fix - Fusing ConvolutionBatchNormalization Nodes with post ops (activation or element wise ops) Resolves: COMPMID-4982 Signed-off-by: Ramy Elgammal Change-Id: I5b2d32cad00f710fd744cb5aa2d59fd7e5c97e0a Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6766 Tested-by: Arm Jenkins Comments-Addressed: Arm Jenkins Reviewed-by: Sheri Zhang --- arm_compute/graph/DataLayerVisitor.h | 1 + arm_compute/graph/INodeVisitor.h | 6 + arm_compute/graph/TypePrinter.h | 3 + arm_compute/graph/Types.h | 1 + arm_compute/graph/backends/FunctionHelpers.h | 88 ++++++++++++- ...volutionBatchNormalizationWithPostOpsFunction.h | 136 +++++++++++++++++++++ .../nodes/FusedConvolutionBatchNormalizationNode.h | 4 +- ...dConvolutionBatchNormalizationWithPostOpsNode.h | 127 +++++++++++++++++++ arm_compute/graph/nodes/Nodes.h | 1 + arm_compute/graph/nodes/NodesFwd.h | 1 + arm_compute/graph/printers/DotGraphPrinter.h | 1 + 11 files changed, 366 insertions(+), 3 deletions(-) create mode 100644 arm_compute/graph/backends/FusedConvolutionBatchNormalizationWithPostOpsFunction.h create mode 100644 arm_compute/graph/nodes/FusedConvolutionBatchNormalizationWithPostOpsNode.h (limited to 'arm_compute/graph') diff --git a/arm_compute/graph/DataLayerVisitor.h b/arm_compute/graph/DataLayerVisitor.h index 670b9f02b6..ac7f1c84ee 100644 --- a/arm_compute/graph/DataLayerVisitor.h +++ b/arm_compute/graph/DataLayerVisitor.h @@ -48,6 +48,7 @@ public: void visit(ConvolutionLayerNode &n) override; void visit(DepthwiseConvolutionLayerNode &n) override; void visit(FusedConvolutionBatchNormalizationNode &n) override; + void visit(FusedConvolutionBatchNormalizationWithPostOpsNode &n) override; void visit(FusedDepthwiseConvolutionBatchNormalizationNode &n) override; void visit(OutputNode &n) override; diff --git a/arm_compute/graph/INodeVisitor.h b/arm_compute/graph/INodeVisitor.h index 4cb601fb02..97e95336ef 100644 --- a/arm_compute/graph/INodeVisitor.h +++ b/arm_compute/graph/INodeVisitor.h @@ -106,6 +106,11 @@ public: * @param[in] n Node to visit. */ virtual void visit(FusedConvolutionBatchNormalizationNode &n) = 0; + /** Visit FusedConvolutionBatchNormalizationWithPostOpsNode. + * + * @param[in] n Node to visit. + */ + virtual void visit(FusedConvolutionBatchNormalizationWithPostOpsNode &n) = 0; /** Visit FusedConvolutionWithPostOpNode. * * @param[in] n Node to visit. @@ -210,6 +215,7 @@ public: virtual void visit(FlattenLayerNode &n) override; virtual void visit(FullyConnectedLayerNode &n) override; virtual void visit(FusedConvolutionBatchNormalizationNode &n) override; + virtual void visit(FusedConvolutionBatchNormalizationWithPostOpsNode &n) override; virtual void visit(FusedConvolutionWithPostOpNode &n) override; virtual void visit(FusedDepthwiseConvolutionBatchNormalizationNode &n) override; virtual void visit(InputNode &n) override; diff --git a/arm_compute/graph/TypePrinter.h b/arm_compute/graph/TypePrinter.h index a8a20c9de8..8f97bbf845 100644 --- a/arm_compute/graph/TypePrinter.h +++ b/arm_compute/graph/TypePrinter.h @@ -116,6 +116,9 @@ inline ::std::ostream &operator<<(::std::ostream &os, const NodeType &node_type) case NodeType::FusedConvolutionBatchNormalizationLayer: os << "FusedConvolutionBatchNormalizationLayer"; break; + case NodeType::FusedConvolutionBatchNormalizationLayerWithPostOpsLayer: + os << "FusedConvolutionBatchNormalizationLayerWithPostOpsLayer"; + break; case NodeType::FusedConvolutionWithPostOp: os << "FusedConvolutionWithPostOp"; break; diff --git a/arm_compute/graph/Types.h b/arm_compute/graph/Types.h index e802e9dc77..ff33d5037b 100644 --- a/arm_compute/graph/Types.h +++ b/arm_compute/graph/Types.h @@ -216,6 +216,7 @@ enum class NodeType FullyConnectedLayer, FusedConvolutionBatchNormalizationLayer, FusedConvolutionWithPostOp, + FusedConvolutionBatchNormalizationLayerWithPostOpsLayer, FusedDepthwiseConvolutionBatchNormalizationLayer, GenerateProposalsLayer, L2NormalizeLayer, diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h index 1e420a803f..a7e52d4d6d 100644 --- a/arm_compute/graph/backends/FunctionHelpers.h +++ b/arm_compute/graph/backends/FunctionHelpers.h @@ -32,6 +32,7 @@ #include "arm_compute/graph/Types.h" #include "arm_compute/graph/Utils.h" #include "arm_compute/graph/backends/FusedConvolutionBatchNormalizationFunction.h" +#include "arm_compute/graph/backends/FusedConvolutionBatchNormalizationWithPostOpsFunction.h" #include "arm_compute/graph/backends/FusedDepthwiseConvolutionBatchNormalizationFunction.h" #include "arm_compute/graph/backends/Utils.h" #include "arm_compute/graph/nodes/Nodes.h" @@ -540,7 +541,7 @@ std::unique_ptr create_convolution_layer(ConvolutionLayerNode &node, return std::move(func); } -/** Create a backend convolution layer function with post opreator +/** Create a backend convolution layer function with post operator * * @tparam ConvolutionLayerFunctions Backend convolution functions * @tparam TargetInfo Target-specific information @@ -629,6 +630,91 @@ std::unique_ptr create_fused_convolution_with_post_op(FusedConvolutio << " Output shape: " << output->info()->tensor_shape() << qss.str() << (fused_act.enabled() ? " " + to_string(fused_act.activation()) : "") + << " Post ops" << post_ops; + << std::endl); + return std::move(func); +} + +/** Create a backend convolution batch normalization layer function with post operator + * + * @tparam FusedLayerTypes Backend convolution functions + * @tparam TargetInfo Target-specific information + * + * @param[in] node Node to create the backend function for + * @param[in] ctx Graph context + * + * @return Backend fused convolution with batch normalization layer function + */ +template +std::unique_ptr create_fused_convolution_batch_normalization_with_post_op(FusedConvolutionBatchNormalizationWithPostOpsNode &node, GraphContext &ctx) +{ + validate_node(node, 8 /* expected inputs */, 1 /* expected outputs */); + + // Extract IO and info + typename TargetInfo::TensorType *input = get_backing_tensor(node.input(0)); + typename TargetInfo::TensorType *weights = get_backing_tensor(node.input(1)); + typename TargetInfo::TensorType *biases = get_backing_tensor(node.input(2)); + typename TargetInfo::TensorType *mean = get_backing_tensor(node.input(3)); + typename TargetInfo::TensorType *var = get_backing_tensor(node.input(4)); + typename TargetInfo::TensorType *beta = get_backing_tensor(node.input(5)); + typename TargetInfo::TensorType *gamma = get_backing_tensor(node.input(6)); + + typename TargetInfo::TensorType *output = get_backing_tensor(node.output(0)); + + const PadStrideInfo conv_info = node.convolution_info(); + const unsigned int num_groups = node.num_groups(); + const bool fast_math = node.fast_math_hint() == FastMathHint::Enabled; + const float epsilon = node.epsilon(); + + experimental::PostOpList post_ops; + + auto &post_op_info_list = node.post_op_info_list(); + for(const auto &post_op_info : post_op_info_list) + { + switch(post_op_info->type()) + { + case PostOpType::Activation: + { + const auto act_info = utils::cast::polymorphic_downcast(post_op_info.get()); + post_ops.template push_back_op>(act_info->_act); + break; + } + case PostOpType::Eltwise_Add: + { + typename TargetInfo::TensorType *add_input = get_backing_tensor(node.input(3)); + const auto eltwise_info = utils::cast::polymorphic_downcast(post_op_info.get()); + post_ops.template push_back_op>(add_input, eltwise_info->_prev_op_dst_pos, eltwise_info->_policy); + break; + } + default: + { + ARM_COMPUTE_ERROR("Unsupported PostOpType"); + } + } + } + + // Create and configure function (we assume that functions have been validated before creation) + std::shared_ptr mm = get_memory_manager(ctx, TargetInfo::TargetType); + std::unique_ptr func; + std::string func_name; + + using FType = FusedConvolutionBatchNormalizationWithPostOpsFunction; + + // Create and configure function + std::tie(func, func_name) = create_named_memory_managed_function( + std::string("FusedConvolutionBatchNormalizationLayerWithPostOpsLayer"), mm, input, weights, biases, output, mean, var, beta, gamma, epsilon, conv_info, num_groups, fast_math, post_ops); + + // Log info + ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated " + << node.name() + << " Type: " << node.type() + << " Target: " << TargetInfo::TargetType + << " Data Type: " << input->info()->data_type() + << " Input shape: " << input->info()->tensor_shape() + << " Weights shape: " << weights->info()->tensor_shape() + << " Output shape: " << output->info()->tensor_shape() + << (fused_act.enabled() ? " " + to_string(fused_act.activation()) : "") + << " Post Ops:" << post_ops; << std::endl); return std::move(func); } diff --git a/arm_compute/graph/backends/FusedConvolutionBatchNormalizationWithPostOpsFunction.h b/arm_compute/graph/backends/FusedConvolutionBatchNormalizationWithPostOpsFunction.h new file mode 100644 index 0000000000..10f2e5c25e --- /dev/null +++ b/arm_compute/graph/backends/FusedConvolutionBatchNormalizationWithPostOpsFunction.h @@ -0,0 +1,136 @@ +/* + * Copyright (c) 2021 Arm Limited. + * + * SPDX-License-Identifier: MIT + * + * Permission is hereby granted, free of charge, to any person obtaining a copy + * of this software and associated documentation files (the "Software"), to + * deal in the Software without restriction, including without limitation the + * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or + * sell copies of the Software, and to permit persons to whom the Software is + * furnished to do so, subject to the following conditions: + * + * The above copyright notice and this permission notice shall be included in all + * copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ + +#ifndef ARM_COMPUTE_GRAPH_BACKENDS_FUSED_CONVOLUTION_BATCH_NORMAZLIZATION_WITH_POST_OPS_FUNCTION_H +#define ARM_COMPUTE_GRAPH_BACKENDS_FUSED_CONVOLUTION_BATCH_NORMAZLIZATION_WITH_POST_OPS_FUNCTION_H + +#include "arm_compute/core/Types.h" +#include "arm_compute/core/experimental/IPostOp.h" +#include "arm_compute/runtime/IFunction.h" + +namespace arm_compute +{ +namespace graph +{ +namespace backends +{ +/** Wrapper function to first apply {NE, CL}BatchNormalizationLayer on the weights and then run {NE, CL}ConvolutionLayer with the modified weights */ +template +class FusedConvolutionBatchNormalizationWithPostOpsFunction : public IFunction +{ +public: + using TensorType = typename TargetInfo::TensorType; + using TensorConcreteType = typename TargetInfo::TensorConcreteType; + + FusedConvolutionBatchNormalizationWithPostOpsFunction(std::shared_ptr memory_manager = nullptr) + : _conv_layer(memory_manager), _fused_batch_norm_layer(), _fused_bias(), _is_prepared(false) + { + } + + /** Set the input and output tensors. + * + * @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM], + * while every optional dimension from 4 and above represent a batch of inputs. + * Data types supported: QASYMM8/F16/F32. + * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported: Same as @p input. + * @param[in] bias Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. + * Data type supported: Should match @p input data type. + * @param[out] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. + * Data types supported: Same as @p input. + * @param[in] mean Mean values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input + * @param[in] var Variance values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input + * @param[in] beta Beta values tensor info. 1 dimension with size equal to the feature maps [FM]. If not provided, default value for beta is 0. Data types supported: Same as @p input + * @param[in] gamma Gamma values tensor info. 1 dimension with size equal to the feature maps [FM]. If not provided, default value for gamma is 1. Data types supported: Same as @p input + * @param[in] epsilon Small value to avoid division with zero. Default value is 0.001f. + * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo. + * @param[in] num_groups Number of groups when performing a grouped convolution. num_groups != 1 is only supported for NCHW data layout + * @param[in] fast_math Enable fast math computation. In case this flag were set, the function could dispatch the fastest implementation + * available which may introduce a drop of accuracy as well. Default is false + * @param[in] post_ops A sequence of post operations that are performed after the main operation. + * + */ + void configure(TensorType *input, + TensorType *weights, + TensorType *bias, + TensorType *output, + const TensorType *mean, + const TensorType *var, + const TensorType *beta, + const TensorType *gamma, + float epsilon, const PadStrideInfo &conv_info, unsigned int num_groups, bool fast_math, + const arm_compute::experimental::PostOpList &post_ops = experimental::PostOpList {}) + { + // We don't run any validate, as we assume that the layers have been already validated + const bool has_bias = (bias != nullptr); + const TensorType *bias_to_use; + + // We check if the layer has a bias. If yes, use it in-place. If not, we need to create one + // as batch normalization might end up with a bias != 0 + if(has_bias) + { + _fused_batch_norm_layer.configure(weights, mean, var, nullptr, nullptr, bias, beta, gamma, epsilon); + bias_to_use = bias; + } + else + { + _fused_batch_norm_layer.configure(weights, mean, var, nullptr, &_fused_bias, nullptr, beta, gamma, epsilon); + bias_to_use = &_fused_bias; + } + + ActivationLayerInfo fused_act = ActivationLayerInfo(); // Passing an empty ActivationLayerInfo. + _conv_layer.configure(input, weights, bias_to_use, output, conv_info, WeightsInfo(), Size2D(1U, 1U), fused_act, fast_math, num_groups, post_ops); + + if(!has_bias) + { + _fused_bias.allocator()->allocate(); + } + } + + // Inherited methods overridden: + void run() + { + prepare(); + _conv_layer.run(); + } + + void prepare() + { + if(!_is_prepared) + { + _fused_batch_norm_layer.run(); + _is_prepared = true; + } + } + +private: + typename FusedLayerTypes::ConvolutionLayer _conv_layer; + typename FusedLayerTypes::FuseBatchNormalization _fused_batch_norm_layer; + TensorConcreteType _fused_bias; + bool _is_prepared; +}; +} // namespace backends +} // namespace graph +} // namespace arm_compute + +#endif /* ARM_COMPUTE_GRAPH_BACKENDS_FUSED_CONVOLUTION_BATCH_NORMAZLIZATION_WITH_POST_OPS_FUNCTION_H */ diff --git a/arm_compute/graph/nodes/FusedConvolutionBatchNormalizationNode.h b/arm_compute/graph/nodes/FusedConvolutionBatchNormalizationNode.h index b3661c300f..b0051b1385 100644 --- a/arm_compute/graph/nodes/FusedConvolutionBatchNormalizationNode.h +++ b/arm_compute/graph/nodes/FusedConvolutionBatchNormalizationNode.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2019 Arm Limited. + * Copyright (c) 2019, 2021 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -100,7 +100,7 @@ public: */ ConvolutionMethod convolution_method() const; - /** Sets the fast math fast hint + /** Sets the fast math hint * * @param[in] hint Hint to use for convolution */ diff --git a/arm_compute/graph/nodes/FusedConvolutionBatchNormalizationWithPostOpsNode.h b/arm_compute/graph/nodes/FusedConvolutionBatchNormalizationWithPostOpsNode.h new file mode 100644 index 0000000000..a42e06d889 --- /dev/null +++ b/arm_compute/graph/nodes/FusedConvolutionBatchNormalizationWithPostOpsNode.h @@ -0,0 +1,127 @@ +/* + * Copyright (c) 2021 Arm Limited. + * + * SPDX-License-Identifier: MIT + * + * Permission is hereby granted, free of charge, to any person obtaining a copy + * of this software and associated documentation files (the "Software"), to + * deal in the Software without restriction, including without limitation the + * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or + * sell copies of the Software, and to permit persons to whom the Software is + * furnished to do so, subject to the following conditions: + * + * The above copyright notice and this permission notice shall be included in all + * copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ +#ifndef ARM_COMPUTE_GRAPH_FUSED_CONVOLUTION_BATCH_NORMALIZATION_WITH_POST_OPS_NODE_H +#define ARM_COMPUTE_GRAPH_FUSED_CONVOLUTION_BATCH_NORMALIZATION_WITH_POST_OPS_NODE_H + +#include "arm_compute/graph/INode.h" + +namespace arm_compute +{ +namespace graph +{ +/** Batch Normalization node */ +class FusedConvolutionBatchNormalizationWithPostOpsNode final : public INode +{ +public: + /** Constructor + * + * @param[in] epsilon Epsilon parameter. + * @param[in] info Convolution layer attributes. + * @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 + */ + FusedConvolutionBatchNormalizationWithPostOpsNode(float epsilon, PadStrideInfo info, + unsigned int num_groups = 1, + ConvolutionMethod method = ConvolutionMethod::Default, + FastMathHint fast_math_hint = FastMathHint::Disabled); + + /** Epsilon parameter accessor + * + * @return Epsilon parameter + */ + float epsilon() const; + + /** Computes convolution output descriptor + * + * @param[in] input_descriptor Input descriptor + * @param[in] weights_descriptor Weights descriptor + * @param[in] info Convolution operation attributes + * + * @return Output descriptor + */ + static TensorDescriptor compute_output_descriptor(const TensorDescriptor &input_descriptor, + const TensorDescriptor &weights_descriptor, + const PadStrideInfo &info); + + /** Sets the convolution layer method to use + * + * @param[in] method Method to use for convolution + */ + void set_convolution_method(ConvolutionMethod method); + + /** Number of groups in convolution accessor + * + * @return Number of groups in convolution + */ + unsigned int num_groups() const; + + /** Convolution layer method accessor + * + * @note This is an indication on which convolution layer implementation to use, + * if it fails to be created the library's heuristic approach will be used + * + * @return Convolution layer method to be used by the node + */ + ConvolutionMethod convolution_method() const; + + /** Sets the fast math hint + * + * @param[in] hint Hint to use for convolution + */ + void set_fast_math_hint(FastMathHint hint); + + /** Fast math hint accessor + * + * @return Fast math hint to be used by the node + */ + FastMathHint fast_math_hint() const; + + /** Convolution metadata accessor + * + * @return Convolution information + */ + PadStrideInfo convolution_info() const; + + // Inherited overridden methods: + NodeType type() const override; + bool forward_descriptors() override; + TensorDescriptor configure_output(size_t idx) const override; + void accept(INodeVisitor &v) override; + +public: + static constexpr NodeType node_type = NodeType::FusedConvolutionBatchNormalizationLayerWithPostOpsLayer; + +private: + float _epsilon; + + PadStrideInfo _info; + unsigned int _num_groups; + ConvolutionMethod _method; + FastMathHint _fast_math_hint; +}; + +} // namespace graph +} // namespace arm_compute +#endif /* ARM_COMPUTE_GRAPH_BATCH_NORMALIZATION_LAYER_NODE_H */ diff --git a/arm_compute/graph/nodes/Nodes.h b/arm_compute/graph/nodes/Nodes.h index fb0eb155fd..3887eaeac6 100644 --- a/arm_compute/graph/nodes/Nodes.h +++ b/arm_compute/graph/nodes/Nodes.h @@ -43,6 +43,7 @@ #include "arm_compute/graph/nodes/FlattenLayerNode.h" #include "arm_compute/graph/nodes/FullyConnectedLayerNode.h" #include "arm_compute/graph/nodes/FusedConvolutionBatchNormalizationNode.h" +#include "arm_compute/graph/nodes/FusedConvolutionBatchNormalizationWithPostOpsNode.h" #include "arm_compute/graph/nodes/FusedConvolutionWithPostOpNode.h" #include "arm_compute/graph/nodes/FusedDepthwiseConvolutionBatchNormalizationNode.h" #include "arm_compute/graph/nodes/GenerateProposalsLayerNode.h" diff --git a/arm_compute/graph/nodes/NodesFwd.h b/arm_compute/graph/nodes/NodesFwd.h index 6393b1d5d4..f1576d6336 100644 --- a/arm_compute/graph/nodes/NodesFwd.h +++ b/arm_compute/graph/nodes/NodesFwd.h @@ -51,6 +51,7 @@ class FullyConnectedLayerNode; class FusedConvolutionBatchNormalizationNode; class FusedConvolutionWithPostOpNode; class FusedDepthwiseConvolutionBatchNormalizationNode; +class FusedConvolutionBatchNormalizationWithPostOpsNode; class GenerateProposalsLayerNode; class InputNode; class L2NormalizeLayerNode; diff --git a/arm_compute/graph/printers/DotGraphPrinter.h b/arm_compute/graph/printers/DotGraphPrinter.h index 42a20678fe..63b89272f4 100644 --- a/arm_compute/graph/printers/DotGraphPrinter.h +++ b/arm_compute/graph/printers/DotGraphPrinter.h @@ -57,6 +57,7 @@ public: void visit(DepthwiseConvolutionLayerNode &n) override; void visit(EltwiseLayerNode &n) override; void visit(FusedConvolutionBatchNormalizationNode &n) override; + void visit(FusedConvolutionBatchNormalizationWithPostOpsNode &n) override; void visit(FusedConvolutionWithPostOpNode &n) override; void visit(FusedDepthwiseConvolutionBatchNormalizationNode &n) override; void visit(NormalizationLayerNode &n) override; -- cgit v1.2.1