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• introduce-nightlies
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• isolate-indvar
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• json-schema
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• linalg-generic-specialization
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• llvm-infra-fixes
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• llvm-stability
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• llvm-tests
• local-storage-cleanup
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• local-storage-improvements
• local-storage-polybench
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• local-storage-simplification
• local-storage-type
• long-names-bug
• loop-analysis-stacks
• loop-info-recursive
• loop-info-update
• loop-level-matching
• loop-normal-form
• loop-normal-form-api
• loop-normal-form-default
• loop-normalization-hotfix
• loop-normalizations
• loop-normalize-final-value
• loop-peeling
• loop-rotate
• loop-shift
• loop-skewing-fors
• loop-split
• loop-unit-stride
• lulesh
• lulesh-cuda
• macos
• main
• main-revert
• make-output-debug
• mantevo
• map-collapse-replay
• map-fusion
• map-fusion-for-reduction
• map-fusion-lookahead-1
• map-fusion-migration
• map-fusion-multi-dims
• 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
• memlet-simplification
• memory-layout-analysis-tests
• memory-tile-groups
• merge-rpc-unit-tests
• merge-sinks
• min-data-transfers-hpccg
• miniAMR-maps
• minor-bug-fixes
• minor-bugs
• missing-ubuntu-deb
• mlir-batchnorm2d
• mlir-benchmarks
• mlir-cf-assert
• mlir-daisy-workflows
• mlir-erase-unused
• mlir-export-sdfg
• 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
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• num-iterations-api
• numpy-casts
• offload-dwconv
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• ols-singletons
• omp-plugin
• onnx-target
• opaque-references
• openfoam
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• papi-fix
• passes-bindings
• perf-control
• perf-improvs
• performance-improvements
• pipeline-update
• plugin-sdfg-lookup
• pointer-symbolic-cmp
• polybench-precision
• polybench-tt-test
• post-assignmentBlock-fixes
• pow-sym
• prepping-for-sdfgrpc
• programs-arg-handling
• ptrtoint
• publish-llvm-frontend
• pylulesh
• python-ast-refactor
• 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-expand
• pytorch-fill
• pytorch-new-frontend
• pytorch-softmax-gelu
• pytorch-static-flops
• quick-fix-dead-data-elim
• quicker-transfer-min
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• read-only-offloads-reuse
• readd-error-handling
• readonly-hoisting
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• reduce-loops
• reenable-feature-dump
• ref-measurement
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• release-builds
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• remove-cutout-sequence
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• rename-mlir-tools
• resnet18-submodels
• restore-global-cfg
• returns
• revert-228-DebugInfoRework
• rework-mlir-frontend
• rewrite-storage-transformation-interfaces
• robustness
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• rtl-min-util
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• segformer
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• set-rtx5060-label
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• stride-min-empty-loops
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• torch-instrumentation
• torch-matmul-net-test
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• towards-cuda-transfertuning
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Build # 30465625756

Build Type

Pull #910

github

Committed by web-flow

Commit Message

Merge 318d9aa81 into 3eb01880e

Pull Request Pull Request #910: [PyTorch] Add Support for Embedding Layers

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