[Stablehlo] support dynamic shape when convert aten.fill.Scalar (#2349)

pull/2352/head snapshot-20230727.912
Yuanqiang Liu 2023-07-27 18:35:25 +08:00 committed by GitHub
parent 991eba2b51
commit c7c59b540e
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3 changed files with 20 additions and 3 deletions

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@ -474,8 +474,16 @@ STABLEHLO_PASS_SET = {
"EmbeddingModuleI32_basic",
"EmbeddingModuleI64_basic",
"EmbeddingModuleF16_basic",
"EmptyLikeMemoryFormatModule_basic",
"EmptyLikeModule_defaultDtype",
"EmptyLikeModule_falsePinMemory",
"EmptyLikeModule_float",
"EmptyLikeModule_int",
"ExpandAsIntModule_basic",
"ExpandModule_basic",
"Fill_TensorFloat64WithFloat32_basic",
"Fill_TensorFloat64WithFloat64_basic",
"Fill_TensorFloat64WithInt64_basic",
"Fill_TensorFloat64WithFloat32Static_basic",
"Fill_TensorFloat64WithInt64Static_basic",
"FlipModuleStaticShape_basic",
@ -672,6 +680,9 @@ STABLEHLO_PASS_SET = {
"PermuteModule_basic",
"PermuteNegativeIndexModule_basic",
"ReduceSumDimIntListKeepDimNegativeDimStaticModule_basic",
"ZeroFloat32Module_basic",
"ZeroInt32Module_basic",
"ZeroInt64Module_basic",
"ZerosLikeModule_defaultDtype",
"ZerosLikeModule_falsePinMemory",
"ZerosLikeModule_float",

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@ -13,6 +13,7 @@
#include "PopulatePatterns.h"
#include "mlir/Dialect/Arith/IR/Arith.h"
#include "mlir/Dialect/Shape/IR/Shape.h"
#include "mlir/Dialect/Tensor/IR/Tensor.h"
#include "stablehlo/dialect/ChloOps.h"
#include "stablehlo/dialect/StablehloOps.h"
@ -1583,8 +1584,11 @@ LogicalResult ConvertAtenOp<AtenFillScalarOp>::matchAndRewrite(
auto dtype = outType.getElementType();
Value scalarTensor =
hlo::scalarToStablehloTensor(rewriter, op, adaptor.getValue(), dtype);
Value bcastScalar = rewriter.create<stablehlo::BroadcastInDimOp>(
op->getLoc(), outType, scalarTensor, rewriter.getI64TensorAttr({}));
Value shapeTensor =
rewriter.create<shape::ShapeOfOp>(op->getLoc(), adaptor.getSelf());
Value bcastScalar = rewriter.create<stablehlo::DynamicBroadcastInDimOp>(
op->getLoc(), outType, scalarTensor, shapeTensor,
rewriter.getI64TensorAttr({}));
rewriter.replaceOp(op, bcastScalar);
return success();
}

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@ -44,6 +44,7 @@ public:
registry.insert<chlo::ChloDialect>();
registry.insert<stablehlo::StablehloDialect>();
registry.insert<tensor::TensorDialect>();
registry.insert<shape::ShapeDialect>();
registry.insert<arith::ArithDialect>();
TorchConversion::getBackendTypeConversionDependentDialects(registry);
}
@ -51,7 +52,8 @@ public:
MLIRContext *context = &getContext();
ConversionTarget target(*context);
target.addLegalDialect<chlo::ChloDialect, stablehlo::StablehloDialect,
tensor::TensorDialect, arith::ArithDialect>();
tensor::TensorDialect, arith::ArithDialect,
shape::ShapeDialect>();
TypeConverter typeConverter;
typeConverter.addConversion([](Type type) { return type; });