commit 427bbbf939a37150fd6768c29c9753771806dab3
author Georgios Pinitas <georgios.pinitas@arm.com> Tue Aug 28 13:32:02 2018 +0100
committer Anthony Barbier <anthony.barbier@arm.com> Fri Nov 02 16:54:54 2018 +0000
tree 9e0761046e2e0d0f960cffeef3fa8e9634ef3426
parent ea9e0dc18c408fecb6dc482b774bd900dd321610

COMPMID-1522: Add ElementWiseOperation node in the graph API

Change-Id: Icb428bf3b5d3634fdddc57562cce670776e7f7a3
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/145814
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

examples/graph_inception_v3.cpp

diff --git a/examples/graph_inception_v3.cpp b/examples/graph_inception_v3.cpp
index 168a506..80e771b 100644
--- a/examples/graph_inception_v3.cpp
+++ b/examples/graph_inception_v3.cpp
@@ -230,7 +230,7 @@
     Stream             graph;
 
 private:
-    BranchLayer get_inception_node_A(const std::string &data_path, std::string &&param_path, DataLayout weights_layout,
+    ConcatLayer get_inception_node_A(const std::string &data_path, std::string &&param_path, DataLayout weights_layout,
                                      unsigned int a_filt,
                                      std::tuple<unsigned int, unsigned int> b_filters,
                                      std::tuple<unsigned int, unsigned int, unsigned int> c_filters,
@@ -355,10 +355,10 @@
             .set_name(param_path + "/Branch_3/Conv2d_0b_1x1/BatchNorm/batchnorm")
             << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_3/Conv2d_0b_1x1/Relu");
 
-        return BranchLayer(BranchMergeMethod::DEPTH_CONCATENATE, std::move(i_a), std::move(i_b), std::move(i_c), std::move(i_d));
+        return ConcatLayer(std::move(i_a), std::move(i_b), std::move(i_c), std::move(i_d));
     }
 
-    BranchLayer get_inception_node_B(const std::string &data_path, std::string &&param_path, DataLayout weights_layout,
+    ConcatLayer get_inception_node_B(const std::string &data_path, std::string &&param_path, DataLayout weights_layout,
                                      unsigned int a_filt,
                                      std::tuple<unsigned int, unsigned int, unsigned int> b_filters)
     {
@@ -426,10 +426,10 @@
         SubStream i_c(graph);
         i_c << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))).set_name(param_path + "/Branch_2/MaxPool_1a_3x3/MaxPool");
 
-        return BranchLayer(BranchMergeMethod::DEPTH_CONCATENATE, std::move(i_a), std::move(i_b), std::move(i_c));
+        return ConcatLayer(std::move(i_a), std::move(i_b), std::move(i_c));
     }
 
-    BranchLayer get_inception_node_C(const std::string &data_path, std::string &&param_path, DataLayout weights_layout,
+    ConcatLayer get_inception_node_C(const std::string &data_path, std::string &&param_path, DataLayout weights_layout,
                                      unsigned int a_filt,
                                      std::tuple<unsigned int, unsigned int, unsigned int> b_filters,
                                      std::tuple<unsigned int, unsigned int, unsigned int, unsigned int, unsigned int> c_filters,
@@ -585,10 +585,10 @@
             .set_name(param_path + "/Branch_3/Conv2d_0b_1x1/BatchNorm/batchnorm")
             << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_3/Conv2d_0b_1x1/Relu");
 
-        return BranchLayer(BranchMergeMethod::DEPTH_CONCATENATE, std::move(i_a), std::move(i_b), std::move(i_c), std::move(i_d));
+        return ConcatLayer(std::move(i_a), std::move(i_b), std::move(i_c), std::move(i_d));
     }
 
-    BranchLayer get_inception_node_D(const std::string &data_path, std::string &&param_path, DataLayout weights_layout,
+    ConcatLayer get_inception_node_D(const std::string &data_path, std::string &&param_path, DataLayout weights_layout,
                                      std::tuple<unsigned int, unsigned int> a_filters,
                                      std::tuple<unsigned int, unsigned int, unsigned int, unsigned int> b_filters)
     {
@@ -684,10 +684,10 @@
         SubStream i_c(graph);
         i_c << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))).set_name(param_path + "/Branch_2/MaxPool_1a_3x3/MaxPool");
 
-        return BranchLayer(BranchMergeMethod::DEPTH_CONCATENATE, std::move(i_a), std::move(i_b), std::move(i_c));
+        return ConcatLayer(std::move(i_a), std::move(i_b), std::move(i_c));
     }
 
-    BranchLayer get_inception_node_E(const std::string &data_path, std::string &&param_path, DataLayout weights_layout,
+    ConcatLayer get_inception_node_E(const std::string &data_path, std::string &&param_path, DataLayout weights_layout,
                                      unsigned int a_filt,
                                      std::tuple<unsigned int, unsigned int, unsigned int> b_filters,
                                      std::tuple<unsigned int, unsigned int, unsigned int, unsigned int> c_filters,
@@ -767,7 +767,7 @@
              << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_1/Conv2d" + conv_id + "3x1/Relu");
 
         // Merge b1 and b2
-        i_b << BranchLayer(BranchMergeMethod::DEPTH_CONCATENATE, std::move(i_b1), std::move(i_b2)).set_name(param_path + "/Branch_1/concat");
+        i_b << ConcatLayer(std::move(i_b1), std::move(i_b2)).set_name(param_path + "/Branch_1/concat");
 
         SubStream i_c(graph);
         i_c << ConvolutionLayer(
@@ -832,7 +832,7 @@
              << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_2/Conv2d_0d_3x1/Relu");
 
         // Merge i_c1 and i_c2
-        i_c << BranchLayer(BranchMergeMethod::DEPTH_CONCATENATE, std::move(i_c1), std::move(i_c2)).set_name(param_path + "/Branch_2/concat");
+        i_c << ConcatLayer(std::move(i_c1), std::move(i_c2)).set_name(param_path + "/Branch_2/concat");
 
         SubStream i_d(graph);
         i_d << PoolingLayer(PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL), true)).set_name(param_path + "/Branch_3/AvgPool_0a_3x3/AvgPool")
@@ -851,7 +851,7 @@
             .set_name(param_path + "/Branch_3/Conv2d_0b_1x1/BatchNorm/batchnorm")
             << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/Branch_3/Conv2d_0b_1x1/Relu");
 
-        return BranchLayer(BranchMergeMethod::DEPTH_CONCATENATE, std::move(i_a), std::move(i_b), std::move(i_c), std::move(i_d));
+        return ConcatLayer(std::move(i_a), std::move(i_b), std::move(i_c), std::move(i_d));
     }
 };