[Mlir-commits] [mlir] c65f8d8 - [mlir][linalg] Fix crashes in parser on linalg ops without operands (#97944)
llvmlistbot at llvm.org
llvmlistbot at llvm.org
Sun Jul 7 09:09:28 PDT 2024
Author: Felix Schneider
Date: 2024-07-07T18:09:24+02:00
New Revision: c65f8d881671c3c7966fbbc967b7c4ca063d989b
URL: https://github.com/llvm/llvm-project/commit/c65f8d881671c3c7966fbbc967b7c4ca063d989b
DIFF: https://github.com/llvm/llvm-project/commit/c65f8d881671c3c7966fbbc967b7c4ca063d989b.diff
LOG: [mlir][linalg] Fix crashes in parser on linalg ops without operands (#97944)
`parseDstStyleOp` parses both `ins()` and `outs()` optionally. The
parsers for `linalg.transpose`, `linalg.broadcast` and `linalg.map`
however assume that at least one operand is present in the state,
leading to crashes otherwise.
This patch adds checks to the parsers which stop them from crashing if
no operands were parsed. When the Ops are parsed successfuly, the
verifiers can work on them.
Fix https://github.com/llvm/llvm-project/issues/97857
Added:
Modified:
mlir/lib/Dialect/Linalg/IR/LinalgOps.cpp
mlir/test/Dialect/Linalg/invalid.mlir
Removed:
################################################################################
diff --git a/mlir/lib/Dialect/Linalg/IR/LinalgOps.cpp b/mlir/lib/Dialect/Linalg/IR/LinalgOps.cpp
index 57d126603ebd7..0754bd95a90f7 100644
--- a/mlir/lib/Dialect/Linalg/IR/LinalgOps.cpp
+++ b/mlir/lib/Dialect/Linalg/IR/LinalgOps.cpp
@@ -1356,8 +1356,12 @@ ParseResult MapOp::parse(OpAsmParser &parser, OperationState &result) {
return failure();
if (payloadOpName.has_value()) {
- addBodyWithPayloadOp(parser, result, payloadOpName.value(), payloadOpAttrs,
- ArrayRef(result.operands).drop_back());
+ if (!result.operands.empty())
+ addBodyWithPayloadOp(parser, result, payloadOpName.value(),
+ payloadOpAttrs,
+ ArrayRef(result.operands).drop_back());
+ else
+ result.addRegion();
} else {
SmallVector<OpAsmParser::Argument> regionArgs;
if (parser.parseArgumentList(regionArgs, OpAsmParser::Delimiter::Paren,
@@ -1739,7 +1743,8 @@ static void buildIdentityRegion(OpBuilder &builder, Location loc,
ValueRange outputs) {
buildGenericRegion(builder, loc, region, inputs, outputs,
[](OpBuilder &b, Location loc, ValueRange args) {
- b.create<linalg::YieldOp>(loc, args[0]);
+ if (!args.empty())
+ b.create<linalg::YieldOp>(loc, args[0]);
});
}
diff --git a/mlir/test/Dialect/Linalg/invalid.mlir b/mlir/test/Dialect/Linalg/invalid.mlir
index 44c81c31ace0f..213ef6c7b2616 100644
--- a/mlir/test/Dialect/Linalg/invalid.mlir
+++ b/mlir/test/Dialect/Linalg/invalid.mlir
@@ -455,6 +455,32 @@ func.func @map_input_output_shape_mismatch(
// -----
+func.func @map_no_operands1() {
+ // expected-error @+1 {{'linalg.map' op expected 1 or more operands, but found 0}}
+ linalg.map { arith.addf }
+}
+
+// -----
+
+func.func @map_no_operands2() {
+ // expected-error @+1 {{'linalg.map' op expected 1 or more operands, but found 0}}
+ "linalg.map"() ({
+ ^bb0:
+ }) : () -> ()
+}
+
+// -----
+
+func.func @map_no_operands3(
+ %lhs: tensor<64xf32>, %rhs: tensor<64xf32>, %init: tensor<64xf32>)
+ -> tensor<64xf32> {
+ // expected-error @+1 {{cannot name an operation with no results}}
+ %add = linalg.map { arith.addf }
+ func.return %add : tensor<64xf32>
+}
+
+// -----
+
func.func @reduce_input_vs_init_dimension_mismatch(
%input: tensor<16x32x64xf32>,
%init: tensor<16x64xf32>) -> tensor<16x64xf32> {
@@ -676,6 +702,30 @@ func.func @transpose_input_init_rank_mismatch(%input: tensor<16x32xf32>,
// -----
+func.func @transpose_no_operands1() {
+ // expected-error @+1 {{'linalg.transpose' op expected 2 operands, but found 0}}
+ linalg.transpose permutation = [1, 0, 2]
+}
+
+// -----
+
+func.func @transpose_no_operands2() {
+ // expected-error @+1 {{'linalg.transpose' op expected 2 operands, but found 0}}
+ "linalg.transpose"() <{permutation = array<i64: 1, 0, 2>}> ({
+ ^bb0:
+ }) : () -> ()
+}
+
+// -----
+
+func.func @transpose_no_operands3() -> tensor<32x64x16xf32> {
+ // expected-error @+1 {{cannot name an operation with no results}}
+ %transpose = linalg.transpose permutation = [1, 0, 2]
+ func.return %transpose : tensor<32x64x16xf32>
+}
+
+// -----
+
func.func @broadcast_input_dims_rank_mismatch(
%input: tensor<4x16xf32>, %init: tensor<4x8x16xf32>)
-> tensor<4x8x16xf32> {
@@ -728,6 +778,31 @@ func.func @broadcast_size_1_extension_not_supported(
// -----
+func.func @broadcast_no_operands1() {
+ // expected-error @+1 {{'linalg.broadcast' op expected 2 operands, but found 0}}
+ linalg.broadcast dimensions = [1]
+}
+
+// -----
+
+func.func @broadcast_no_operands2() {
+ // expected-error @+1 {{'linalg.broadcast' op expected 2 operands, but found 0}}
+ "linalg.broadcast"() <{dimensions = array<i64: 1>}> ({
+ ^bb0:
+ }) : () -> ()
+}
+
+// -----
+
+func.func @broadcast_no_operands3()
+ -> tensor<4x?x16xf32> {
+ // expected-error @+1 {{cannot name an operation with no results}}
+ %broadcast = linalg.broadcast dimensions = [1]
+ func.return %broadcast : tensor<32x64x16xf32>
+}
+
+// -----
+
func.func @missing_iterator_types() {
// expected-error @below {{expected "iterator_types" array attribute}}
linalg.generic {} ins() outs()
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