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Created with Raphaël 2.2.05Dec229Nov2726252019141287631Oct2928201587127Sep2625181210654327Aug2221161514131265131Jul2485432130Jun282725242120191817141312111054331May3029151413230Apr2221181611943229Mar28272622211914828Feb19127652124Jan155414Dec1110987547Nov23Oct20171354321Sep2018141311add the backend of the Scaling nodebase setup for scaling branchMerge branch 'accumulate' of gitlab.eclipse.org:eclipse/aidge/aidge_backend_cuda into accumulatemove every node with a backward in gradient accumulation modeadd the alpha and beta for the Padding operatoraccumulate the gradients instead of replacing them (done for several nodes but not all)add sqrt cuda backendadd the backend of the Scaling nodebase setup for scaling branchmove every node with a backward in gradient accumulation modeMerge branch 'update_dev' into 'dev'Update SqrtImpl.hph, getAvailableImplSpecs return type back to vectorchore : bump version.txt to 0.3.2fix : auditwheel repair re enabled and added --exclude flag on all cuda librarieschore : cleaned up before-build & before-test commandsreset retruned type getAvailableImplSpecsfeat : replaced pkg installs built from source in test section by install from pypichre : upd ci files refchore : trigger CIchore : upd ci files refchore : added another path to ignore to cibuidwheel pathfix : pip do not packs cuda* .so files in .whl, aidge_backend_cuda pkg wieghs now ~2Mo maxchore : added default values to cmake optionsMerge branch 'fix_cuda_wheel_too_big' into 'main'v0.3.2v0.3.2Merge branch 'bn_flag_redo' into 'dev'Add the training mode for the BatchNorm operatorchore : bump version.txt to 0.3.2fix : auditwheel repair re enabled and added --exclude flag on all cuda librarieschore : cleaned up before-build & before-test commandsre-add the old scaling operatorold_scalingold_scalingMerge branch 'bn_flag' of gitlab.eclipse.org:eclipse/aidge/aidge_backend_cuda into bn_flagbn_flagbn_flagadd the training mode for the BatchNorm forward routine[Add] Round Operator Cuda Backend[Add] Clip Operator CUDA backendCorrected gradient which should be accumulatingAdded LRN operatoradd OperatorImpl helperFix issue eclipse/aidge/aidge_core#196Remove input_nbr attribute for Add operatorgetAvailableImplSpecs now return a vector for binding purposes.

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