1 files changed, 22 insertions, 17 deletions

diff --git a/src/graph/mutators/DepthConcatSubTensorMutator.cpp b/src/graph/mutators/DepthConcatSubTensorMutator.cpp
index 963b948432..1b7ee3c4a4 100644
--- a/src/graph/mutators/DepthConcatSubTensorMutator.cpp
+++ b/src/graph/mutators/DepthConcatSubTensorMutator.cpp
@@ -23,12 +23,12 @@
  */
 #include "arm_compute/graph/mutators/DepthConcatSubTensorMutator.h"
 
-#include "arm_compute/graph/Graph.h"
-#include "arm_compute/graph/Logger.h"
-#include "arm_compute/graph/Utils.h"
 #include "arm_compute/graph/algorithms/TopologicalSort.h"
 #include "arm_compute/graph/backends/BackendRegistry.h"
+#include "arm_compute/graph/Graph.h"
+#include "arm_compute/graph/Logger.h"
 #include "arm_compute/graph/nodes/ConcatenateLayerNode.h"
+#include "arm_compute/graph/Utils.h"
 
 #include "support/Cast.h"
 #include "support/Iterable.h"
@@ -50,7 +50,7 @@ IGraphMutator::MutationType DepthConcatSubTensorMutator::type() const
 void DepthConcatSubTensorMutator::mutate(Graph &g)
 {
     // Early exit if no Concatenation layers exist in graph
-    if(g.nodes(NodeType::ConcatenateLayer).empty())
+    if (g.nodes(NodeType::ConcatenateLayer).empty())
     {
         return;
     }
@@ -59,43 +59,48 @@ void DepthConcatSubTensorMutator::mutate(Graph &g)
     std::vector<NodeID> topological_sorted_node_ids = dfs(g);
 
     // Should be in reverse order of execution
-    for(auto &node_id : arm_compute::utils::iterable::reverse_iterate(topological_sorted_node_ids))
+    for (auto &node_id : arm_compute::utils::iterable::reverse_iterate(topological_sorted_node_ids))
     {
         INode *node = g.node(node_id);
-        if(node != nullptr && node->type() == NodeType::ConcatenateLayer && node->output(0) != nullptr)
+        if (node != nullptr && node->type() == NodeType::ConcatenateLayer && node->output(0) != nullptr)
         {
             // Get output tensor
             auto output_tensor = node->output(0);
 
             // Check concatenation axis (Sub-tensor optimization is supported for concatenation axis >=2)
             auto *concat_node = arm_compute::utils::cast::polymorphic_downcast<ConcatenateLayerNode *>(node);
-            if(output_tensor == nullptr || get_dimension_idx(output_tensor->desc().layout, concat_node->concatenation_axis()) < 2)
+            if (output_tensor == nullptr ||
+                get_dimension_idx(output_tensor->desc().layout, concat_node->concatenation_axis()) < 2)
             {
                 continue;
             }
 
             // Check that all tensor have the same target, valid inputs and same quantization info
-            bool is_valid = std::all_of(node->input_edges().cbegin(), node->input_edges().cend(),
-                                        [&](const EdgeID & eid)
-            {
-                return (g.edge(eid) != nullptr) && (g.edge(eid)->tensor() != nullptr) && (g.edge(eid)->tensor()->desc().target == output_tensor->desc().target)
-                       && (g.edge(eid)->tensor()->desc().quant_info == output_tensor->desc().quant_info);
-            });
+            bool is_valid =
+                std::all_of(node->input_edges().cbegin(), node->input_edges().cend(),
+                            [&](const EdgeID &eid)
+                            {
+                                return (g.edge(eid) != nullptr) && (g.edge(eid)->tensor() != nullptr) &&
+                                       (g.edge(eid)->tensor()->desc().target == output_tensor->desc().target) &&
+                                       (g.edge(eid)->tensor()->desc().quant_info == output_tensor->desc().quant_info);
+                            });
 
             // Create subtensors
-            if(is_valid && is_target_supported(output_tensor->desc().target))
+            if (is_valid && is_target_supported(output_tensor->desc().target))
             {
                 ARM_COMPUTE_LOG_GRAPH_VERBOSE("Using sub-tensors for the node with ID : "
                                               << node->id() << " and name : " << node->name() << std::endl);
                 // Create sub-tensor handles
                 unsigned depth = 0;
-                for(unsigned int i = 0; i < node->input_edges().size(); ++i)
+                for (unsigned int i = 0; i < node->input_edges().size(); ++i)
                 {
                     auto       input_tensor = node->input(i);
                     const auto input_shape  = input_tensor->desc().shape;
 
-                    backends::IDeviceBackend      &backend = backends::BackendRegistry::get().get_backend(input_tensor->desc().target);
-                    std::unique_ptr<ITensorHandle> handle  = backend.create_subtensor(output_tensor->handle(), input_shape, Coordinates(0, 0, depth), false);
+                    backends::IDeviceBackend &backend =
+                        backends::BackendRegistry::get().get_backend(input_tensor->desc().target);
+                    std::unique_ptr<ITensorHandle> handle =
+                        backend.create_subtensor(output_tensor->handle(), input_shape, Coordinates(0, 0, depth), false);
                     input_tensor->set_handle(std::move(handle));
 
                     depth += input_shape.z();