Skip to content
Snippets Groups Projects
Select Git revision
  • 5-arithmetic-operator-optimization
  • VersionManagement
  • add_clipping_node
  • chore_move_broadcasting_to_core
  • convert
  • dev protected
  • feat/DataTypes
  • feat/ImprovedBuild
  • feat/RefGetImpl
  • feat/SplitConv
  • feat/TensorCopy
  • feat/operator_constantofshape
  • feat_formatting
  • fix
  • fix_globalavgpool
  • fix_import_tests
  • fix_v0.3.1
  • learning
  • main default protected
  • refactor/AccessStorage
  • v0.5.0
  • v0.4.1
  • v0.4.0
  • v0.3.2
  • v0.3.1
  • v0.3.0
  • v0.2.3
  • v0.2.2
  • v0.2.1
  • v0.2.0
  • v0.1.0
31 results
You can move around the graph by using the arrow keys.
Created with Raphaël 2.2.022Jan2115149Dec65229Nov2726252219181586425Oct23222120191130Sep272625242320181615121110943230Aug29272622139131Jul2618168543130Jun282726242120191817141210654330May28242321171614763221Apr191611109542130Mar292827262524222018151413118654227Feb26232019181615141312987652131Jan302625242318161512111085421Dec201814131211109876543130Nov29282724232221171615chore: Improve and test Mul Backward kernelUPD: try test using 'Log::log()' instead of 'Tensor::print()' with Test_AddImpl.cppADD: fmt as private libraryUPD: change log::info of some tests to the new formatChange 'weightInterLeaving' for 'weightInterLeaved'Make includes right and remove 'iostream' for some more testsChange REQUIRED for QUIET in option of Catch2 for tests as it is downloaded if not foundENHANCE: allow to use local install of Catch2 library or download latest availableUPD: test includesAdded more testsremove registry for int4 uint4 convImplAdd test for applyweightInterleaving recipeUpdate implementation kernels for new lowbit integer datatypesAdd convolution registrar entry for int4 without implementation - Need for generate schedulingAdd WeightInterleaving Operator CPU ImplementationOnly include what is used for 'Test_ReduceSumImpl.cpp'Update backend_cpu with https://gitlab.eclipse.org/eclipse/aidge/aidge_core/-/merge_requests/277Hotfix for more generic registryRegister Mul for mixed Float32, Float64 inputsUPD: version 0.4.0 -> 0.4.1v0.4.1v0.4.1Merge branch 'fix_Conv3x3_stride' into 'main'ADD: many tests for Conv[DepthWise] to cover each caseFIX: Conv[DepthWise] forward implementation for some cases that were not tested in the new implementationMerge branch 'dev' into 'main'v0.4.0v0.4.0Merge remote-tracking branch 'origin/main' into devMerge branch 'upd_version_0-4-0' into 'dev'upd version 0.3.2 -> 0.4.0Merge branch 'fix_207-producer-clone' into 'dev'add some tests for Tensor addition operator and subtraction operatorMerge branch 'feat_add-first-metaop-impl' into 'dev'feat: add paddedconv implementationMerge branch 'arithmetic_op_optimization' into 'dev'upd: catch2 test framework to latest versionfix 'And' kernel in case of equal dimensions for inputsfix: number of elements in template of EqualImpl_cpuperf: update 'And' forard kernelperf: update Pow forward kernel.perf: update Add, BitShift, Mul and Sub forward kernelsMerge branch 'feat_enhance_operator_resize_support' into 'dev'Update .gitlab-ci.yml file
Loading