aboutsummaryrefslogtreecommitdiff
diff options
context:
space:
mode:
-rw-r--r--src/graph/operations/CLSimpleOperations.cpp8
1 files changed, 4 insertions, 4 deletions
diff --git a/src/graph/operations/CLSimpleOperations.cpp b/src/graph/operations/CLSimpleOperations.cpp
index a42fada6f3..4ec3a22f37 100644
--- a/src/graph/operations/CLSimpleOperations.cpp
+++ b/src/graph/operations/CLSimpleOperations.cpp
@@ -181,7 +181,7 @@ REGISTER_SIMPLE_OPERATION(CLFlattenLayerOperation, OPENCL, OperationType::Flatte
flatten->configure(in, out);
// Log info
- ARM_COMPUTE_LOG_GRAPH_INFO("Instantiating NEFlattenLayer"
+ ARM_COMPUTE_LOG_GRAPH_INFO("Instantiating CLFlattenLayer"
<< " Data Type: " << in->info()->data_type()
<< " Input shape: " << in->info()->tensor_shape()
<< " Output shape: " << out->info()->tensor_shape()
@@ -237,7 +237,7 @@ REGISTER_SIMPLE_OPERATION(CLFullyConnectedLayer, OPENCL, OperationType::FullyCon
fc->configure(in, weights, biases, out);
// Log info
- ARM_COMPUTE_LOG_GRAPH_INFO("Instantiating NEFullyConnectedLayer"
+ ARM_COMPUTE_LOG_GRAPH_INFO("Instantiating CLFullyConnectedLayer"
<< " Data Type: " << in->info()->data_type()
<< " Input shape: " << in->info()->tensor_shape()
<< " Weights shape: " << weights->info()->tensor_shape()
@@ -351,7 +351,7 @@ REGISTER_SIMPLE_OPERATION(CLQuantizationLayerOperation, OPENCL, OperationType::Q
quantization->configure(in, out);
// Log info
- ARM_COMPUTE_LOG_GRAPH_INFO("Instantiating NEQuantizationLayer"
+ ARM_COMPUTE_LOG_GRAPH_INFO("Instantiating CLQuantizationLayer"
<< " Data Type: " << in->info()->data_type()
<< " Input shape: " << in->info()->tensor_shape()
<< " Output shape: " << out->info()->tensor_shape()
@@ -377,7 +377,7 @@ REGISTER_SIMPLE_OPERATION(CLReshapeLayerOperation, OPENCL, OperationType::Reshap
reshape->configure(in, out);
// Log info
- ARM_COMPUTE_LOG_GRAPH_INFO("Instantiating NEReshapeLayer"
+ ARM_COMPUTE_LOG_GRAPH_INFO("Instantiating CLReshapeLayer"
<< " Data Type: " << in->info()->data_type()
<< " Input shape: " << in->info()->tensor_shape()
<< " Output shape: " << out->info()->tensor_shape()