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include/aidge/backend/cpu/operator/HeavisideImpl.hpp

@@ -67,7 +67,7 @@ public:
 
 namespace 
 {
-    static Registrar<Aidge::Heaviside_Op> registrarHeavisideImpl_cpu("cpu", Aidge::HeavisideImpl_cpu::create);
+    static Registrar<Heaviside_Op> registrarHeavisideImpl_cpu("cpu", Aidge::HeavisideImpl_cpu::create);
 }
 }  // namespace Aidge
 

src/operator/AddImpl.cpp

@@ -75,16 +75,15 @@ void  Aidge::AddImpl_cpu::forward() {
         const auto& input = opTensor.getInput(i)->refCastFrom(inputsFallback[i], *opTensor.getOutput(0));
         opInputs.push_back(input.getImpl()->rawPtr());
     }
-    Log::info("Add Tensor input 0 : {}", opTensor.getInput(0)->toString());
-    Log::info("Add Tensor input 1 : {}", opTensor.getInput(1)->toString());
-
+    //Log::info("Add Tensor input 0 : {}", opTensor.getInput(0)->toString());
+    //Log::info("Add Tensor input 1 : {}", opTensor.getInput(1)->toString());
     kernelFunc(opInputs,
                inputsDims,
                opTensor.getOutput(0)->size(),
                opTensor.getOutput(0)->dims(),
                getCPUPtr(opTensor.getRawOutput(0)));
 
-    Log::info("Add Tensor output : {}", opTensor.getOutput(0)->toString());
+    //Log::info("Add Tensor output : {}", opTensor.getOutput(0)->toString());
 }
 
 void  Aidge::AddImpl_cpu::backward() {

src/operator/FCImpl.cpp

@@ -61,8 +61,6 @@ void Aidge::FCImpl_cpu::forward()
     // Call kernel
     Log::info("Call to FC kernel, with input data");
     Log::info("{}\n", op_.getInput(0)->toString());
-    Log::info("and weights : ");
-    Log::info("{}\n\n", op_.getInput(1)->toString());
 
     const auto batchSize = (input0.dims().size() > 1) ? input0.dims()[0] : 1;
     kernelFunc(batchSize,

src/operator/HeavisideImpl.cpp

@@ -52,7 +52,6 @@ void HeavisideImpl_cpu::forward() {
     const auto inputDims0 = getBroadcastedDims(std::static_pointer_cast<Tensor>(mOp.getRawOutput(0))->dims(),
                                                                    std::static_pointer_cast<Tensor>(mOp.getRawInput(0))->dims());
 
-    Log::info("opTensor input {}", opTensor.getInput(0)->toString());
     // Call kernel
     kernelFunc(inputDims0,
                std::static_pointer_cast<Tensor>(mOp.getRawOutput(0))->dims(),

src/operator/MulImpl.cpp

@@ -48,8 +48,6 @@ void MulImpl_cpu::forward()
     const std::vector<std::size_t> inputDims1 = getBroadcastedDims(std::static_pointer_cast<Tensor>(mOp.getRawOutput(0))->dims(),
                                                                    std::static_pointer_cast<Tensor>(mOp.getRawInput(1))->dims());
 
-    Log::info("Mul node  input 0 : {}", opTensor.getInput(0)->toString() );
-    Log::info("Mul node  input 1 : {}", opTensor.getInput(1)->toString() );
     // Call kernel
     kernelFunc(inputDims0,
         inputDims1,
@@ -57,8 +55,6 @@ void MulImpl_cpu::forward()
         getCPUPtr(mOp.getRawInput(0)),
         getCPUPtr(mOp.getRawInput(1)),
         getCPUPtr(mOp.getRawOutput(0)));
-
-    Log::info("Mul node output 0 : {}", opTensor.getOutput(0)->toString() );
 }
 
 void MulImpl_cpu::backward() 

src/operator/SubImpl.cpp

@@ -41,9 +41,6 @@ void Aidge::SubImpl_cpu::forward() {
                                                                    std::static_pointer_cast<Tensor>(mOp.getRawInput(0))->dims());
     const std::vector<std::size_t> inputDims1 = getBroadcastedDims(std::static_pointer_cast<Tensor>(mOp.getRawOutput(0))->dims(),
                                                                    std::static_pointer_cast<Tensor>(mOp.getRawInput(1))->dims());
-
-    Log::info("Sub node  input 0 : {}", opTensor.getInput(0)->toString() );
-    Log::info("Sub node  input 1 : {}", opTensor.getInput(1)->toString() );
     // Call kernel
     kernelFunc(inputDims0,
         inputDims1,
@@ -51,7 +48,4 @@ void Aidge::SubImpl_cpu::forward() {
         getCPUPtr(mOp.getRawInput(0)),
         getCPUPtr(mOp.getRawInput(1)),
         getCPUPtr(mOp.getRawOutput(0)));
-
-    Log::info("Sub node output : {}", opTensor.getOutput(0)->toString() );
-
 }