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• Modelzoo
• BatchMatmul
• CFGPruner
• CUDACorrelationFix
• CUDATiling
• Cublas4Python
• DebugInfoRework
• ExtendedNPBench
• FixArgCapturing
• FixLiftreport
• HIPtarget
• InferenceAnalysis
• InstrumentationInfo
• KLSSubsetUndefined
• LibNodeOffloading
• LiftReport
• LiftingReport
• LinalgBroadcast
• MACOSASANFix
• MigrateOffloading
• MoveLoopReport
• MultiDimGPUKernels
• OLSTiling
• OffloadOpaque
• OptionalOffloadReport
• PythonWorkflow
• Roc
• ScheduleTypeUpdate
• SchedulerStreamlining
• SkipNestedTiling
• SupportPoolingLayers
• TensorReshape
• TimedDotGraph
• accelerator-dtypes
• activate-hpccg-cuda
• add-filter-in-scheduler
• add-normalization
• add-opt-report
• add-opt-report-to-transfertuning
• add-python-transfertuning
• add-transfertune-daisy-test
• add-transfertuning-tests
• addTTpolybench
• advanced-loop-tiling
• allocation-hoisting
• arg-capture-ci
• arg-capture-fixes
• arg-capture-scope
• arg-captures
• arg-expand
• arg-expansion
• assums-perf
• astype
• attributes
• avail-external-linkage
• backend-docc
• bindings-builder
• bindings-nodes
• bit-widths
• blacklist-vararg
• blas-lifting
• block-sorting-and-hoisting
• bplustree
• bytes
• byval-fix
• cast-attributes
• cfd-local-array
• change-default-docc-folder
• change-features
• change-model-location
• ci-levels
• ci-rollback
• cloudsc
• cloudsc2
• cmath-nodes-refactor
• code-style-cleanup
• compile-time-opt
• compound-loads
• compound-stores
• constant-prop
• copilot/add-onnx-torch-mlir-bindings
• copilot/extend-mlir-frontend-with-sdfg-dialect
• copilot/extend-python-frontend-casts
• copilot/extend-python-frontend-classes
• copilot/extend-python-frontend-ones-support
• cpack-sdfglib
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• cuda-arch-opt
• cuda-partition-incubation-test
• cuda-tests
• cuda-transforms
• cuda_autotuning
• daisy-workflows
• dangling-nodes-ref-prop
• data-dependency-bugfixes
• dbg-functions
• dde-analysis-invalidation-on-modify
• dde-perf
• deactivate-mlir-tests-cuda
• dead-data-elimination
• deallocation-management
• debug-info
• debug-prints
• depthwise2DConv
• deterministic-topo-sort
• dimension-wise-intersect
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• distro-agnostic
• docc-ai-torch-mlir
• docc-analysis
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• docc-py
• docc-tmp
• dump-conditional-sdfgs
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• enable-transfertuning
• energy-measurements
• etsoc
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• ext-prefix
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• extend-bindings
• extend-transfertuning
• faster-block-sorting
• filter-by-loopinfo
• fix-arg-capturing
• fix-argcapture-on-cuda
• fix-c++20-import
• fix-cfd-cuda
• fix-dde
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• fix-mlir-tests-workflow
• fix-return-test
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• fixed-deb-deps
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• fixing-dot-diz-crash
• fixrodiniacuda
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• flop-analysis
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• fmod-fix
• for-each
• for2map-improvs
• frontend-hpccg
• func-blacklist-rettype
• function-lifting
• function-whitelisting
• generic-2nd-link-rebase
• globals-linkage
• graceful-validate
• hand-cuda-blocksize-into-transform
• hpccg-arm
• hpccg-diag
• hppcg-csr
• icmp-cast-fix
• icmp-fix
• ignore-not-implemented
• improving-global-cfg
• improving-tt-transform
• inline-daisy-functions
• instrument-python-code
• instrumentation
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• int-abs
• integrate-python-docc-frontends
• introduce-nightlies
• isl-printer-pow
• iterator-to-indvar
• library-nodes-refactor
• linkage
• linker-test
• llvm-infra-fixes
• llvm-tests
• long-names-bug
• loop-info-recursive
• loop-info-update
• loop-normalization-hotfix
• loop-normalizations
• loop-rotate
• loop-shift
• loop-skewing-fors
• lulesh
• lulesh-cuda
• macos
• main
• main-revert
• mantevo
• map-fusion
• map-fusion-multi-dims
• map-optimizations
• mean-std-nodes
• measurements
• min-data-transfers-hpccg
• miniAMR-maps
• minor-bug-fixes
• minor-bugs
• missing-ubuntu-deb
• mlir-benchmarks
• mlir-cf-assert
• mlir-export-sdfg
• mlir-frontend
• mlir-integration
• mlir-malloc
• mlir-math
• mlir-opt-linear
• mlir-target-plugins
• mlir-target-tests
• mlir-tensor-ops-and-index
• more-hoisting
• more-tests
• move-token-to-secret
• moves-python-frontend
• native-ndarray
• nightlies
• nightly-fix
• node-bindings-transfer-tuning
• norm-exp
• np-clip
• npbench
• npbench-crc16
• npbench-ludcmp
• npbench-mlp
• offloading-nodes
• omp-plugin
• onnx-target
• opaque-references
• openfoam
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• papi-fix
• perf-improvs
• performance-improvements
• pipeline-update
• plugin-sdfg-lookup
• pointer-symbolic-cmp
• polybench-precision
• polybench-tt-test
• pow-sym
• prepping-for-sdfgrpc
• ptrtoint
• python-ast-refactor
• python-debug-info
• python-optional-cuda
• python-transpose-conv
• python-wheels
• quick-fix-dead-data-elim
• range-based-trunc-elimination
• readd-error-handling
• readonly-hoisting
• recipes-cleanup
• reenable-feature-dump
• ref-measurement
• refactor-apps-test
• refactor-cutout
• refactor-transfertuning
• refactor-workflows
• regions-renaming
• release-builds
• remove-cutout-sequence
• rename-mlir-tools
• restore-global-cfg
• returns
• revert-228-DebugInfoRework
• rework-mlir-frontend
• robustness
• rodinia-debugging
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• rodinia-workflows
• rtl
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• rtl-reuse
• rtl-tests-exit-codes
• run-polybench-on-tansy
• sanitizers
• schedule-dumping
• sext-i1-fix
• siblings-failure
• stable-sdfg-registry
• static-boost
• statistics
• stdlib-nodes
• storage-types
• subcompile-opts
• submodules-update
• symbol-alias
• symbol-evolution-fix
• target-lib-node-mapping
• targetTutorial
• tasklet-fusion
• tasklet-tensor-node
• tensor-type
• tensor-type-2
• tenstorrent/prep-gemm-test
• test-measurement
• test-type
• tile-fusion
• topo-det
• torch-matmul-net-test
• towards-cuda-transfertuning
• transfer-inlining
• transfer-minimization
• transferMinimization
• transformations-api
• transitions-bug
• trap-nodes
• trisolv-fix
• trunc-analysis
• tt-blas-dot
• tt-dot-instrument
• tt-loop-classes
• tt-matvec
• tt-python-tests
• unify-loop-exits
• unsigned-constant-promotion
• upload-to-backend
• use-stable-pytorch
• version-string
• workflows
• zero-loops-tt-pass
• zext-analysis

Build # 23237643016

Build Type

Pull #583

github

Committed by web-flow

Commit Message

Merge aa89914fd into 3868c059f

Pull Request Pull Request #583: [MLIR] Setup a Model Zoo to test different End-to-End networks

Run Details

10 of 92 new or added lines in 4 files covered. (10.87%)

161 existing lines in 2 files now uncovered.

26077 of 40848 relevant lines covered (63.84%)

401.85 hits per line