/llvm-project/mlir/lib/Dialect/Tosa/Transforms/ |
H A D | TosaMakeBroadcastable.cpp | 41 RankedTensorType outputType, Value &input1, in reshapeLowerToHigher() argument 90 auto outputType = dyn_cast<RankedTensorType>(output.getType()); in matchAndRewrite() local 118 auto outputType = dyn_cast<RankedTensorType>(output.getType()); in matchAndRewrite() local 149 auto outputType = dyn_cast<RankedTensorType>(output.getType()); matchAndRewrite() local 177 auto outputType = dyn_cast<RankedTensorType>(output.getType()); matchAndRewrite() local [all...] |
H A D | TosaFolders.cpp | 136 ShapedType outputType, in transposeType() 184 ShapedType outputType, in transpose() 215 auto outputType = cast<ShapedType>(op.getType()); in matchAndRewrite() local
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/llvm-project/mlir/utils/vscode/src/PDLL/commands/ |
H A D | viewOutput.ts | 38 const outputType = constant
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/llvm-project/mlir/test/lib/Dialect/Tosa/ |
H A D | TosaTestPasses.cpp | 51 auto outputType = in matchAndRewrite() local 129 auto outputType = in matchAndRewrite() local
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/llvm-project/mlir/tools/mlir-pdll/ |
H A D | mlir-pdll.cpp | 40 OutputType outputType, std::vector<std::string> &includeDirs, in processBuffer() argument 153 llvm::cl::opt<enum OutputType> outputType( in main() local
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/llvm-project/mlir/lib/Dialect/Tosa/IR/ |
H A D | TosaOps.cpp | 366 buildConvOpWithQuantInfo(OpBuilder & builder,OperationState & result,Type outputType,Value input,Value weight,Value bias,DenseI64ArrayAttr pad,DenseI64ArrayAttr stride,DenseI64ArrayAttr dilation) buildConvOpWithQuantInfo() argument 388 buildTransConvOpWithQuantInfo(OpBuilder & builder,OperationState & result,Type outputType,Value input,Value weight,Value bias,DenseI64ArrayAttr outpad,DenseI64ArrayAttr stride,DenseI64ArrayAttr outputShape) buildTransConvOpWithQuantInfo() argument 409 buildFCOpWithQuantInfo(OpBuilder & builder,OperationState & result,Type outputType,Value input,Value weight,Value bias) buildFCOpWithQuantInfo() argument 428 buildMatMulOpWithQuantInfo(OpBuilder & builder,OperationState & result,Type outputType,Value a,Value b) buildMatMulOpWithQuantInfo() argument 465 buildAvgPool2dOpWithQuantInfo(OpBuilder & builder,OperationState & result,Type outputType,Value input,DenseArrayAttr kernel,DenseArrayAttr stride,DenseArrayAttr pad,TypeAttr accType) buildAvgPool2dOpWithQuantInfo() argument 483 buildUnaryOpWithQuantInfo(OpBuilder & builder,OperationState & result,Type outputType,Value input) buildUnaryOpWithQuantInfo() argument 496 buildPadOpWithQuantInfo(OpBuilder & builder,OperationState & result,Type outputType,Value input,Value paddings) buildPadOpWithQuantInfo() argument 509 buildExplicitValuePadOpWithQuantInfo(OpBuilder & builder,OperationState & result,Type outputType,Value input,Value paddings,Value padConst) buildExplicitValuePadOpWithQuantInfo() argument 896 ShapedType outputType = llvm::cast<ShapedType>(getType()); verify() local 960 RankedTensorType outputType = getType(); verify() local 1086 TensorType outputType = getOutput().getType(); verify() local 1298 TensorType outputType = op.getOutput().getType(); REDUCE_SHAPE_INFER() local 1895 TensorType outputType = getOutput().getType(); verify() local [all...] |
H A D | TosaCanonicalizations.cpp | 248 ShapedType outputType = llvm::cast<ShapedType>(output.getType()); in matchAndRewrite() local
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/llvm-project/mlir/lib/Dialect/Tosa/Utils/ |
H A D | QuantUtils.cpp | 197 auto outputType = dyn_cast<ShapedType>(outputRawType); in buildUnaryOpQuantizationAttr() local 239 Type mlir::tosa::buildConvOpResultTypeInfo(OpBuilder &builder, Type outputType, in buildConvOpResultTypeInfo()
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/llvm-project/mlir/lib/Dialect/Linalg/Transforms/ |
H A D | ConvertConv2DToImg2Col.cpp | 82 auto outputType = cast<ShapedType>(convOp.getOutputs()[0].getType()); in rewriteInIm2Col() local 218 auto outputType = cast<RankedTensorType>(convOp.getOutputs()[0].getType()); in rewriteInIm2Col() local 368 auto outputType = cast<ShapedType>(convOp.getOutputs()[0].getType()); in rewriteInIm2Col() local 501 auto outputType = cast<ShapedType>(convOp.getOutputs()[0].getType()); in rewriteInIm2Col() local
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H A D | ConstantFold.cpp | 68 auto outputType = dyn_cast<ShapedType>(linalgOp->getResultTypes().front()); in matchAndRewrite() local
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H A D | Transforms.cpp | 1331 auto outputType = dyn_cast<RankedTensorType>(output.getType()); returningMatchAndRewrite() local 1455 auto outputType = dyn_cast<RankedTensorType>(output.getType()); returningMatchAndRewrite() local 1523 auto outputType = dyn_cast<RankedTensorType>(output.getType()); returningMatchAndRewrite() local
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H A D | Vectorization.cpp | 1139 auto outputType = dyn_cast<VectorType>(outputVec.getType()); reduceIfNeeded() local
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/llvm-project/mlir/lib/Transforms/Utils/ |
H A D | DialectConversion.cpp | 1395 Type outputType = origOutputType; applySignatureConversion() local 1427 buildUnresolvedMaterialization(MaterializationKind kind,Block * insertBlock,Block::iterator insertPt,Location loc,ValueRange inputs,Type outputType,Type origOutputType,const TypeConverter * converter) buildUnresolvedMaterialization() argument 1444 buildUnresolvedArgumentMaterialization(Block * block,Location loc,ValueRange inputs,Type origOutputType,Type outputType,const TypeConverter * converter) buildUnresolvedArgumentMaterialization() argument 1450 buildUnresolvedTargetMaterialization(Location loc,Value input,Type outputType,const TypeConverter * converter) buildUnresolvedTargetMaterialization() argument 2724 Type outputType = opResult.getType(); computeNecessaryMaterializations() local 2807 Type outputType = opResult.getType(); legalizeUnresolvedMaterialization() local
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/llvm-project/lld/MachO/ |
H A D | Config.h | 198 llvm::MachO::HeaderFileType outputType; global() member
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/llvm-project/mlir/lib/Dialect/SparseTensor/IR/ |
H A D | SparseTensorDialect.cpp | 1732 verifyNumBlockArgs(T * op,Region & region,const char * regionName,TypeRange inputTypes,Type outputType) verifyNumBlockArgs() argument 1761 Type outputType = getOutput().getType(); verify() local 1796 Type outputType = getOutput().getType(); verify() local [all...] |
/llvm-project/mlir/lib/Conversion/TosaToLinalg/ |
H A D | TosaToLinalg.cpp | 2354 auto outputType = computeOutputShape(rewriter, loc, input, dynamicSizes); matchAndRewrite() local 2471 auto outputType = RankedTensorType::get(staticSizes, real_el_ty); matchAndRewrite() local
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/llvm-project/mlir/lib/Dialect/Linalg/IR/ |
H A D | LinalgOps.cpp | 1262 for (Type outputType : outputTypes) { parseDstStyleOp() local 2448 ShapedType outputType = getOutputOperandType(); verify() local [all...] |
/llvm-project/mlir/lib/Dialect/SparseTensor/Transforms/ |
H A D | SparseTensorRewriting.cpp | 334 auto outputType = getRankedTensorType(op.getResult(0)); in matchAndRewrite() local
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/llvm-project/mlir/lib/Dialect/LLVMIR/IR/ |
H A D | LLVMDialect.cpp | 2812 IntegerType inputType, outputType; verifyExtOp() local
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