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>
diff --git a/src/graph/nodes/FullyConnectedLayer.cpp b/src/graph/nodes/FullyConnectedLayer.cpp
index c317660..6b21810 100644
--- a/src/graph/nodes/FullyConnectedLayer.cpp
+++ b/src/graph/nodes/FullyConnectedLayer.cpp
@@ -24,6 +24,7 @@
#include "arm_compute/graph/nodes/FullyConnectedLayer.h"
#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/Logger.h"
#include "arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h"
#include "arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h"
#include "support/ToolchainSupport.h"
@@ -112,35 +113,24 @@
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, _weights, _biases, output);
+ ARM_COMPUTE_LOG("Instantiating CLFullyConnectedLayer");
}
else
{
func = instantiate<TargetHint::NEON>(input, _weights, _biases, output);
+ ARM_COMPUTE_LOG("Instantiating NEFullyConnectedLayer");
}
+ ARM_COMPUTE_LOG(" Type: " << input->info()->data_type()
+ << " Input Shape: " << input->info()->tensor_shape()
+ << " Weights shape: " << _weights.info().tensor_shape()
+ << " Biases Shape: " << _biases.info().tensor_shape()
+ << " Output Shape: " << output->info()->tensor_shape()
+ << std::endl);
+
return func;
}
-
-void FullyConnectedLayer::print_info()
-{
- if(_target_hint == TargetHint::OPENCL)
- {
- std::cout << "Instantiating CLFullyConnectedLayer";
- }
- else
- {
- std::cout << "Instantiating NEFullyConnectedLayer";
- }
- std::cout << " Type: " << _input->info()->data_type()
- << " Input Shape: " << _input->info()->tensor_shape()
- << " Weights shape: " << _weights.info().tensor_shape()
- << " Biases Shape: " << _biases.info().tensor_shape()
- << " Output Shape: " << _output->info()->tensor_shape()
- << std::endl;
-}