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• map-fusion-order-fix
• map-fusion-same-container
• map-fusion-shared-node
• map-fusion-streams
• map-optimizations
• mapfusion-time-hack
• mean-std-nodes
• measurements
• mem-access-range-replacement
• memcpyOnDevice
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• memory-layout-analysis-tests
• memory-tile-groups
• merge-rpc-unit-tests
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• min-data-transfers-hpccg
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• minor-bug-fixes
• minor-bugs
• missing-ubuntu-deb
• mlir-batchnorm2d
• mlir-benchmarks
• mlir-cf-assert
• mlir-daisy-workflows
• mlir-erase-unused
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• mlir-frontend
• mlir-integration
• mlir-malloc
• mlir-math
• mlir-memcpy-matmul
• mlir-opt-linear
• mlir-reuse-generic
• mlir-suppress-symengine-warnings
• mlir-target-plugins
• mlir-target-tests
• mlir-tensor-ops-and-index
• mlir-torch-none
• modular-builder
• more-hoisting
• more-tests
• move-einsum-support
• move-token-to-secret
• moves-python-frontend
• native-ndarray
• nightlies
• nightly-fix
• no-escape-mem-ownership
• no-inv-loop-dist
• no-py-code-motion
• node-bindings-transfer-tuning
• noinv-gpu-tiling
• norm-exp
• np-clip
• npbench
• npbench-crc16
• npbench-ludcmp
• npbench-mlp
• npbench-verifier
• num-iterations-api
• numpy-casts
• offload-dwconv
• offloading-nodes
• ols-ils-select-group
• ols-singletons
• omp-plugin
• onnx-target
• opaque-references
• openfoam
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• papi-fix
• passes-bindings
• perf-improvs
• performance-improvements
• pipeline-update
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• python-debug-info
• python-frontend-index-bug
• python-gather-tests
• python-inplace
• python-optional-cuda
• python-transpose-conv
• python-wheels
• pytorch-batched-matmul
• pytorch-clone
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• pytorch-fill
• pytorch-new-frontend
• pytorch-static-flops
• quick-fix-dead-data-elim
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• range-based-trunc-elimination
• read-only-offloads-reuse
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• reduce-bindings
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• remove-polly
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• restore-global-cfg
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• revert-228-DebugInfoRework
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• robustness
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• run-polybench-on-tansy
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• sdfg-parents
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• segformer
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Build # 30005670487

Build Type

Pull #872

github

Committed by web-flow

Commit Message

Merge bdd6eb01e into 7b41ae7c7

Pull Request Pull Request #872: Added mapping for expand ops to PyTorch frontend

Coverage Stats

25 of 38 new or added lines in 3 files covered. (65.79%)

2 existing lines in 1 file now uncovered.

42674 of 66598 relevant lines covered (64.08%)

739.24 hits per line