EnzymeAD/Enzyme-JAX

Tracking issue for missing Batch Op Interface

Open

#152 opened on Nov 5, 2024

View on GitHub
 (5 comments) (0 reactions) (0 assignees)MLIR (45 forks)auto 404
good first issuehelp wanted

Repository metrics

Stars
 (126 stars)
PR merge metrics
 (PR metrics pending)

Description

NOTE: Strikethrough ops are deliberately not implemented because the default broadcasting behavior of enzyme batch is enough.

  • StableHLO
    • AbsOp
    • AddOp
    • AfterAllOp
    • AllGatherOp
    • AllReduceOp
    • AllToAllOp
    • AndOp
    • Atan2Op
    • BatchNormGradOp
    • BatchNormInferenceOp
    • BatchNormTrainingOp
    • BitcastConvertOp
    • BroadcastInDimOp
    • CaseOp
    • CbrtOp
    • CeilOp
    • CholeskyOp
    • ClampOp
    • CollectiveBroadcastOp
    • CollectivePermuteOp
    • CompareOp
    • ComplexOp
    • CompositeOp
    • ConcatenateOp
    • ConstantOp
    • ConvertOp
    • ConvolutionOp #151
    • CosineOp
    • ClzOp
    • CustomCallOp
    • DivOp
    • DotGeneralOp
    • DynamicBroadcastInDimOp
    • DynamicConvOp
    • DynamicGatherOp
    • DynamicIotaOp
    • DynamicPadOp
    • DynamicReshapeOp
    • DynamicSliceOp
    • DynamicUpdateSliceOp
    • ExpOp
    • Expm1Op
    • FftOp
    • FloorOp
    • GatherOp
    • GetDimensionSizeOp
    • IfOp #151
    • ImagOp
    • InfeedOp
    • IotaOp
    • IsFiniteOp
    • LogOp
    • Logp1Op
    • LogisticOp
    • MaxOp
    • MinOp
    • MulOp
    • NegateOp
    • NotOp
    • OptimizationBarrierOp
    • OrOp
    • OutfeedOp
    • PadOp
    • PartitionIdOp
    • PopcntOp
    • PowOp
    • RealOp
    • RecvOp
    • ReduceOp
    • ReducePrecisionOp
    • ReduceScatterOp
    • ReduceWindowOp
    • RemainderOp
    • ReplicaIdOp
    • ReshapeOp
    • ReverseOp #151
    • RngBitGeneratorOp
    • RoundOp
    • RoundNearestEvenOp
    • RsqrtOp
    • ScatterOp
    • SelectOp
    • SelectAndScatterOp
    • SendOp
    • ShiftLeftOp
    • ShiftRightArithmeticOp
    • ShiftRightLogicalOp
    • SignOp
    • SineOp
    • SliceOp
    • SortOp
    • SqrtOp
    • SubtractOp
    • TanhOp
    • TransposeOp
    • TriangularSolveOp
    • UniformDequantizeOp
    • UniformQuantizeOp
    • WhileOp #151
    • XorOp
    • Deprecated operations in StableHLO
      • RngOp
      • GetTupleElementOp
      • BroadcastOp
      • CreateTokenOp
      • CrossReplicaSumOp
      • DotOp
      • EinsumOp
      • TorchIndexSelectOp
      • UnaryEinsumOp
      • TupleOp
      • MapOp
  • CHLO
    • Binary Element-wise Operations
      • BroadcastAddOp
      • BroadcastAtan2Op
      • BroadcastDivOp
      • BroadcastMaxOp
      • BroadcastMinOp
      • BroadcastMulOp
      • BroadcastNextAfterOp
      • BroadcastPolygammaOp
      • BroadcastPowOp
      • BroadcastRemOp
      • BroadcastShiftLeftOp
      • BroadcastShiftRightArithmeticOp
      • BroadcastShiftRightLogicalOp
      • BroadcastSubOp
      • BroadcastZetaOp
    • Binary Logical Element-wise Operations
      • BroadcastAndOp
      • BroadcastOrOp
      • BroadcastXorOp
    • Non-broadcasting Binary Operations
      • NextAfterOp
      • PolygammaOp
      • ZetaOp
    • ComplexOp
    • Unary Element-wise Operations
      • AcosOp
      • AcoshOp
      • AsinOp
      • AsinhOp
      • AtanOp
      • AtanhOp
      • BesselI1eOp
      • ConjOp
      • CoshOp
      • SinhOp
      • TanOp
      • ConstantOp (shared with StableHLO_ConstantOp)
      • ConstantLikeOp
      • DigammaOp
      • ErfOp
      • ErfInvOp
      • ErfcOp
      • IsInfOp
      • IsNegInfOp
      • IsPosInfOp
      • LgammaOp
    • BroadcastCompareOp
    • BroadcastSelectOp
    • TopKOp
  • EnzymeXLA
    • KernelCallOp
    • JitCallOp
    • GetStreamOp
    • Memref2PointerOp
    • Pointer2MemrefOp
    • AffineScopeOp
    • RotateOp
    • WrapOp
    • ExtendOp
    • CommRegionOp
    • LUFactorizationOp

Contributor guide

Research direction
Study the existing batch op interface implementation in Enzyme and implement missing batch operations for the listed ops following the established pattern. Start with a simple op like ConstantOp or IotaOp to understand the pattern, then proceed to more complex ops like ConvolutionOp.
Tech stack
None
Domain
compilersmachine learning
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Over 1 week
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
MLIRC++
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
25