aboutsummaryrefslogtreecommitdiff
path: root/src/graph/nodes/ConvolutionLayer.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/graph/nodes/ConvolutionLayer.cpp')
-rw-r--r--src/graph/nodes/ConvolutionLayer.cpp23
1 files changed, 11 insertions, 12 deletions
diff --git a/src/graph/nodes/ConvolutionLayer.cpp b/src/graph/nodes/ConvolutionLayer.cpp
index 303780ff35..07d42617e2 100644
--- a/src/graph/nodes/ConvolutionLayer.cpp
+++ b/src/graph/nodes/ConvolutionLayer.cpp
@@ -23,7 +23,6 @@
*/
#include "arm_compute/graph/nodes/ConvolutionLayer.h"
-#include "arm_compute/core/Logger.h"
#include "arm_compute/runtime/CL/functions/CLConvolutionLayer.h"
#include "arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h"
#include "arm_compute/runtime/IFunction.h"
@@ -217,12 +216,12 @@ std::unique_ptr<arm_compute::IFunction> ConvolutionLayer::instantiate_node(Graph
if(_num_groups == 1)
{
func = instantiate_convolution(in, out, conv_method_hint);
- ARM_COMPUTE_LOG("Instantiating CLConvolutionLayer");
+ ARM_COMPUTE_LOG_GRAPH_INFO("Instantiating CLConvolutionLayer");
}
else
{
func = instantiate_grouped_convolution(in, out, conv_method_hint);
- ARM_COMPUTE_LOG("Instantiating NEConvolutionLayer");
+ ARM_COMPUTE_LOG_GRAPH_INFO("Instantiating NEConvolutionLayer");
}
// Fill weights
@@ -236,15 +235,15 @@ std::unique_ptr<arm_compute::IFunction> ConvolutionLayer::instantiate_node(Graph
_biases.allocate_and_fill_if_needed();
}
- ARM_COMPUTE_LOG(" Data Type: " << in->info()->data_type()
- << " Input Shape: " << in->info()->tensor_shape()
- << " Weights shape: " << _weights.info().tensor_shape()
- << " Biases Shape: " << _biases.info().tensor_shape()
- << " Output Shape: " << out->info()->tensor_shape()
- << " PadStrideInfo: " << _conv_info
- << " Groups: " << _num_groups
- << " WeightsInfo: " << _weights_info
- << std::endl);
+ ARM_COMPUTE_LOG_GRAPH_INFO(" Data Type: " << in->info()->data_type()
+ << " Input Shape: " << in->info()->tensor_shape()
+ << " Weights shape: " << _weights.info().tensor_shape()
+ << " Biases Shape: " << _biases.info().tensor_shape()
+ << " Output Shape: " << out->info()->tensor_shape()
+ << " PadStrideInfo: " << _conv_info
+ << " Groups: " << _num_groups
+ << " WeightsInfo: " << _weights_info
+ << std::endl);
return func;
}