COMPMID-549 Create a Logger for GraphAPI

Change-Id: If912d8232e12cd496923d55d386898450dac09e2
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/89897
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 8 insertions, 18 deletions

diff --git a/src/graph/nodes/SoftmaxLayer.cpp b/src/graph/nodes/SoftmaxLayer.cpp
index 9e798ef7cc..86282448f7 100644
--- a/src/graph/nodes/SoftmaxLayer.cpp
+++ b/src/graph/nodes/SoftmaxLayer.cpp
@@ -23,6 +23,7 @@
  */
 #include "arm_compute/graph/nodes/SoftmaxLayer.h"
 
+#include "arm_compute/core/Logger.h"
 #include "arm_compute/runtime/CL/CLTensor.h"
 #include "arm_compute/runtime/CL/functions/CLSoftmaxLayer.h"
 #include "arm_compute/runtime/NEON/functions/NESoftmaxLayer.h"
@@ -65,33 +66,22 @@ std::unique_ptr<arm_compute::IFunction> SoftmaxLayer::instantiate_node(GraphCont
 {
     std::unique_ptr<arm_compute::IFunction> func;
     _target_hint = ctx.hints().target_hint();
-    _input       = input;
-    _output      = output;
 
     if(_target_hint == TargetHint::OPENCL)
     {
         func = instantiate<TargetHint::OPENCL>(input, output);
+        ARM_COMPUTE_LOG("Instantiating CLSoftmaxLayer");
     }
     else
     {
         func = instantiate<TargetHint::NEON>(input, output);
+        ARM_COMPUTE_LOG("Instantiating NESoftmaxLayer");
     }
 
-    return func;
-}
+    ARM_COMPUTE_LOG(" Data Type: " << input->info()->data_type()
+                    << " Input shape: " << input->info()->tensor_shape()
+                    << " Output shape: " << output->info()->tensor_shape()
+                    << std::endl);
 
-void SoftmaxLayer::print_info()
-{
-    if(_target_hint == TargetHint::OPENCL)
-    {
-        std::cout << "Instantiating CLSoftmaxLayer";
-    }
-    else
-    {
-        std::cout << "Instantiating NESoftmaxLayer";
-    }
-    std::cout << " Data Type: " << _input->info()->data_type()
-              << " Input shape: " << _input->info()->tensor_shape()
-              << " Output shape: " << _output->info()->tensor_shape()
-              << std::endl;
+    return func;
 }