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Created with Raphaël 2.2.022Mar212019181513121198765432129Feb2827262523222120191816151413121197652131Jan3029262524231817161512111085421Dec20181514131211109876543130Nov292827242322Minor optimizations and add default values to 'GraphView::compile()' member functionRemove iostream include from some filesUpd GraphViewHelper functions to return Tensors instead of Nodes[Add] operator+,-,*,/ to Tensor class and [Add] gradient initialization for TensorChange 'TensorImpl' mBackend member variable type and move member functions to source file[Add] Backend member variable to Operator implementations[Add] 'Operator::backend()' member function and move Tensor dependence from header to source file when possible in operatorMove Optimizer and LR in their own module[Add][Test] Unit-test for LRScheduler[Add] ConstantLR and StepLR[Add] learning rate scheduler class LRSchedulerUpdate argument name to avoid ambiguous name.Add a Random Generator handler class and use it for fillers.Fix typo Tensor.hppMove filler definition in cpp files.Add heFiller.Add Normal Filler.Add basic normal filler.Add basic Uniform filler.Fixed issue with fuseMulAddMerge remote-tracking branch 'origin/dev' into learningchore : change type of nodes generatedMerge branch 'create_optimizer' into 'learning'Fix Producer constructor with pybindFix python testsAdded cache system for getPriorProducersConsumers()feat : added @olivierbichler fix for scheduling + added FAILING test for cyclical graphsfix ReduceMean.hpp initializer_list as vectorFix python binding and add Tensor.hpp in includes for opertorsFix OperatorTensor.cppMerge branch 'create_optimizer' of gitlab.eclipse.org:eclipse/aidge/aidge_core into create_optimizerFix includesUpdate OperatorImpl.hppUpdate Memorize.hppMissing includes in Memorize.hppMerge branch 'create_optimizer' of gitlab.eclipse.org:eclipse/aidge/aidge_core into create_optimizer[Fix] 'Cast.cpp' includesMinor optimizations and add default values to 'GraphView::compile()' member functionRemove iostream include from some filesUpd GraphViewHelper functions to return Tensors instead of Nodes

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