[MLIR] Add llvm.mlir.cast op for semantic preserving cast between dialect types.

Summary: See discussion here: https://llvm.discourse.group/t/rfc-dialect-type-cast-op/538/11

Reviewers: ftynse

Subscribers: bixia, sanjoy.google, mehdi_amini, rriddle, jpienaar, burmako, shauheen, antiagainst, nicolasvasilache, arpith-jacob, mgester, lucyrfox, aartbik, liufengdb, Joonsoo, llvm-commits

Differential Revision: https://reviews.llvm.org/D75141
This commit is contained in:
Tim Shen 2020-02-21 18:13:56 -08:00
parent 2a00ae3984
commit 0d65000e11
5 changed files with 147 additions and 2 deletions

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@ -686,6 +686,25 @@ def LLVM_ConstantOp
let assemblyFormat = "`(` $value `)` attr-dict `:` type($res)";
}
def LLVM_DialectCastOp : LLVM_Op<"mlir.cast", [NoSideEffect]>,
Results<(outs AnyType:$res)>,
Arguments<(ins AnyType:$in)> {
let summary = "Type cast between LLVM dialect and Standard.";
let description = [{
llvm.mlir.cast op casts between Standard and LLVM dialects. It only changes
the dialect, but does not change compile-time or runtime semantics.
Notice that index type is not supported, as it's Standard-specific.
Example:
llvm.mlir.cast %v : f16 to llvm.half
llvm.mlir.cast %v : llvm.float to f32
llvm.mlir.cast %v : !llvm<"<2 x float>"> to vector<2xf32>
}];
let assemblyFormat = "$in attr-dict `:` type($in) `to` type($res)";
let verifier = "return ::verify(*this);";
}
// Operations that correspond to LLVM intrinsics. With MLIR operation set being
// extendable, there is no reason to introduce a hard boundary between "core"
// operations and intrinsics. However, we systematically prefix them with

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@ -1807,6 +1807,24 @@ struct MemRefCastOpLowering : public LLVMLegalizationPattern<MemRefCastOp> {
}
};
struct DialectCastOpLowering
: public LLVMLegalizationPattern<LLVM::DialectCastOp> {
using LLVMLegalizationPattern<LLVM::DialectCastOp>::LLVMLegalizationPattern;
PatternMatchResult
matchAndRewrite(Operation *op, ArrayRef<Value> operands,
ConversionPatternRewriter &rewriter) const override {
auto castOp = cast<LLVM::DialectCastOp>(op);
OperandAdaptor<LLVM::DialectCastOp> transformed(operands);
if (transformed.in().getType() !=
typeConverter.convertType(castOp.getType())) {
return matchFailure();
}
rewriter.replaceOp(op, transformed.in());
return matchSuccess();
}
};
// A `dim` is converted to a constant for static sizes and to an access to the
// size stored in the memref descriptor for dynamic sizes.
struct DimOpLowering : public LLVMLegalizationPattern<DimOp> {
@ -2772,6 +2790,7 @@ void mlir::populateStdToLLVMNonMemoryConversionPatterns(
CopySignOpLowering,
CosOpLowering,
ConstLLVMOpLowering,
DialectCastOpLowering,
DivFOpLowering,
ExpOpLowering,
LogOpLowering,
@ -2988,6 +3007,7 @@ struct LLVMLoweringPass : public ModulePass<LLVMLoweringPass> {
mlir::LLVMConversionTarget::LLVMConversionTarget(MLIRContext &ctx)
: ConversionTarget(ctx) {
this->addLegalDialect<LLVM::LLVMDialect>();
this->addIllegalOp<LLVM::DialectCastOp>();
}
std::unique_ptr<OpPassBase<ModuleOp>>

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@ -890,6 +890,45 @@ static void printGlobalOp(OpAsmPrinter &p, GlobalOp op) {
p.printRegion(initializer, /*printEntryBlockArgs=*/false);
}
//===----------------------------------------------------------------------===//
// Verifier for LLVM::DialectCastOp.
//===----------------------------------------------------------------------===//
static LogicalResult verify(DialectCastOp op) {
auto verifyMLIRCastType = [&op](Type type) -> LogicalResult {
if (auto llvmType = type.dyn_cast<LLVM::LLVMType>()) {
if (llvmType.isVectorTy())
llvmType = llvmType.getVectorElementType();
if (llvmType.isIntegerTy() || llvmType.isHalfTy() ||
llvmType.isFloatTy() || llvmType.isDoubleTy()) {
return success();
}
return op.emitOpError("type must be non-index integer types, float "
"types, or vector of mentioned types.");
}
if (auto vectorType = type.dyn_cast<VectorType>()) {
if (vectorType.getShape().size() > 1)
return op.emitOpError("only 1-d vector is allowed");
type = vectorType.getElementType();
}
if (type.isSignlessIntOrFloat())
return success();
// Note that memrefs are not supported. We currently don't have a use case
// for it, but even if we do, there are challenges:
// * if we allow memrefs to cast from/to memref descriptors, then the
// semantics of the cast op depends on the implementation detail of the
// descriptor.
// * if we allow memrefs to cast from/to bare pointers, some users might
// alternatively want metadata that only present in the descriptor.
//
// TODO(timshen): re-evaluate the memref cast design when it's needed.
return op.emitOpError("type must be non-index integer types, float types, "
"or vector of mentioned types.");
};
return failure(failed(verifyMLIRCastType(op.in().getType())) ||
failed(verifyMLIRCastType(op.getType())));
}
// Parses one of the keywords provided in the list `keywords` and returns the
// position of the parsed keyword in the list. If none of the keywords from the
// list is parsed, returns -1.

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@ -910,3 +910,39 @@ func @assume_alignment(%0 : memref<4x4xf16>) {
assume_alignment %0, 16 : memref<4x4xf16>
return
}
// -----
// CHECK-LABEL: func @mlir_cast_to_llvm
// CHECK-SAME: %[[ARG:.*]]:
func @mlir_cast_to_llvm(%0 : vector<2xf16>) -> !llvm<"<2 x half>"> {
%1 = llvm.mlir.cast %0 : vector<2xf16> to !llvm<"<2 x half>">
// CHECK-NEXT: llvm.return %[[ARG]]
return %1 : !llvm<"<2 x half>">
}
// CHECK-LABEL: func @mlir_cast_from_llvm
// CHECK-SAME: %[[ARG:.*]]:
func @mlir_cast_from_llvm(%0 : !llvm<"<2 x half>">) -> vector<2xf16> {
%1 = llvm.mlir.cast %0 : !llvm<"<2 x half>"> to vector<2xf16>
// CHECK-NEXT: llvm.return %[[ARG]]
return %1 : vector<2xf16>
}
// -----
// CHECK-LABEL: func @mlir_cast_to_llvm
// CHECK-SAME: %[[ARG:.*]]:
func @mlir_cast_to_llvm(%0 : f16) -> !llvm.half {
%1 = llvm.mlir.cast %0 : f16 to !llvm.half
// CHECK-NEXT: llvm.return %[[ARG]]
return %1 : !llvm.half
}
// CHECK-LABEL: func @mlir_cast_from_llvm
// CHECK-SAME: %[[ARG:.*]]:
func @mlir_cast_from_llvm(%0 : !llvm.half) -> f16 {
%1 = llvm.mlir.cast %0 : !llvm.half to f16
// CHECK-NEXT: llvm.return %[[ARG]]
return %1 : f16
}

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@ -1,13 +1,44 @@
// RUN: mlir-opt %s -verify-diagnostics -split-input-file
// RUN: mlir-opt %s -convert-std-to-llvm -verify-diagnostics -split-input-file
#map1 = affine_map<(d0, d1)[s0, s1, s2] -> (d0 * s1 + s0 + d1 * s2)>
func @invalid_memref_cast(%arg0: memref<?x?xf64>) {
%c1 = constant 1 : index
%c0 = constant 0 : index
// expected-error@+1: 'std.memref_cast' op operand #0 must be unranked.memref of any type values or memref of any type values,
// expected-error@+1 {{'std.memref_cast' op operand #0 must be unranked.memref of any type values or memref of any type values, but got '!llvm<"{ double*, double*, i64, [2 x i64], [2 x i64] }">'}}
%5 = memref_cast %arg0 : memref<?x?xf64> to memref<?x?xf64, #map1>
%25 = std.subview %5[%c0, %c0][%c1, %c1][] : memref<?x?xf64, #map1> to memref<?x?xf64, #map1>
return
}
// -----
func @mlir_cast_to_llvm(%0 : index) -> !llvm.i64 {
// expected-error@+1 {{'llvm.mlir.cast' op type must be non-index integer types, float types, or vector of mentioned types}}
%1 = llvm.mlir.cast %0 : index to !llvm.i64
return %1 : !llvm.i64
}
// -----
func @mlir_cast_from_llvm(%0 : !llvm.i64) -> index {
// expected-error@+1 {{'llvm.mlir.cast' op type must be non-index integer types, float types, or vector of mentioned types}}
%1 = llvm.mlir.cast %0 : !llvm.i64 to index
return %1 : index
}
// -----
func @mlir_cast_to_llvm_int(%0 : i32) -> !llvm.i64 {
// expected-error@+1 {{failed to legalize operation 'llvm.mlir.cast' that was explicitly marked illegal}}
%1 = llvm.mlir.cast %0 : i32 to !llvm.i64
return %1 : !llvm.i64
}
// -----
func @mlir_cast_to_llvm_vec(%0 : vector<1x1xf32>) -> !llvm<"<1 x float>"> {
// expected-error@+1 {{'llvm.mlir.cast' op only 1-d vector is allowed}}
%1 = llvm.mlir.cast %0 : vector<1x1xf32> to !llvm<"<1 x float>">
return %1 : !llvm<"<1 x float>">
}