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[MLIR][KernelGen] Add `tf.Log1p` kernel and tests 

PiperOrigin-RevId: 351566460
This commit is contained in:
A. Unique TensorFlower 2021-01-13 05:36:19 -08:00 committed by TensorFlow MLIR Team
parent 300a7c11ce
commit 181d2cad31
3 changed files with 15 additions and 0 deletions
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1
include/mlir-hlo/Dialect/mhlo/transforms/map_hlo_to_lhlo_op.h
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@ -60,6 +60,7 @@ MAP_HLO_TO_LHLO(ImagOp);
MAP_HLO_TO_LHLO(IotaOp); MAP_HLO_TO_LHLO(IotaOp);
MAP_HLO_TO_LHLO(IsFiniteOp); MAP_HLO_TO_LHLO(IsFiniteOp);
MAP_HLO_TO_LHLO(LogOp); MAP_HLO_TO_LHLO(LogOp);
MAP_HLO_TO_LHLO(Log1pOp);
MAP_HLO_TO_LHLO(MaxOp); MAP_HLO_TO_LHLO(MaxOp);
MAP_HLO_TO_LHLO(MinOp); MAP_HLO_TO_LHLO(MinOp);
MAP_HLO_TO_LHLO(MulOp); MAP_HLO_TO_LHLO(MulOp);

12
include/mlir-hlo/Dialect/mhlo/transforms/map_lmhlo_to_scalar_op.h
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@ -429,6 +429,18 @@ inline Value MapLhloOpToStdScalarOp<lmhlo::LogOp>(Location loc,
loc, result_types, args, b); loc, result_types, args, b);
} }
template <>
inline Value MapLhloOpToStdScalarOp<lmhlo::Log1pOp>(Location loc,
ArrayRef<Type> result_types,
ArrayRef<Value> args,
OpBuilder* b) {
auto ty = result_types.front().cast<FloatType>();
Value x = args.front();
Value one = b->create<ConstantOp>(loc, b->getFloatAttr(ty, 1.0));
Value x_plus_one = b->create<AddFOp>(loc, x, one);
return b->create<::mlir::LogOp>(loc, x_plus_one);
}
template <> template <>
inline Value MapLhloOpToStdScalarOp<lmhlo::MaxOp>(Location loc, inline Value MapLhloOpToStdScalarOp<lmhlo::MaxOp>(Location loc,
ArrayRef<Type> result_types, ArrayRef<Type> result_types,

2
lib/Dialect/mhlo/transforms/legalize_to_linalg.cc
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@ -1239,6 +1239,7 @@ void populateLHLOToLinalgConversionPattern(MLIRContext* context,
PointwiseToLinalgConverter<lmhlo::ImagOp>, PointwiseToLinalgConverter<lmhlo::ImagOp>,
PointwiseToLinalgConverter<lmhlo::IsFiniteOp>, PointwiseToLinalgConverter<lmhlo::IsFiniteOp>,
PointwiseToLinalgConverter<lmhlo::LogOp>, PointwiseToLinalgConverter<lmhlo::LogOp>,
PointwiseToLinalgConverter<lmhlo::Log1pOp>,
PointwiseToLinalgConverter<lmhlo::MaxOp>, PointwiseToLinalgConverter<lmhlo::MaxOp>,
PointwiseToLinalgConverter<lmhlo::MinOp>, PointwiseToLinalgConverter<lmhlo::MinOp>,
PointwiseToLinalgConverter<lmhlo::MulOp>, PointwiseToLinalgConverter<lmhlo::MulOp>,
@ -1359,6 +1360,7 @@ void populateHLOToLinalgConversionPattern(MLIRContext* context,
PointwiseToLinalgConverter<mhlo::ImagOp, false>, PointwiseToLinalgConverter<mhlo::ImagOp, false>,
PointwiseToLinalgConverter<mhlo::IsFiniteOp, false>, PointwiseToLinalgConverter<mhlo::IsFiniteOp, false>,
PointwiseToLinalgConverter<mhlo::LogOp, false>, PointwiseToLinalgConverter<mhlo::LogOp, false>,
PointwiseToLinalgConverter<mhlo::Log1pOp, false>,
PointwiseToLinalgConverter<mhlo::MaxOp, false>, PointwiseToLinalgConverter<mhlo::MaxOp, false>,
PointwiseToLinalgConverter<mhlo::MinOp, false>, PointwiseToLinalgConverter<mhlo::MinOp, false>,
PointwiseToLinalgConverter<mhlo::MulOp, false>, PointwiseToLinalgConverter<mhlo::MulOp, false>,