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[mlir][Linalg] Allow all build methods of Structured ops to specify additional attributes. 

Differential Revision: https://reviews.llvm.org/D108338
This commit is contained in:
MaheshRavishankar 2021-08-19 10:08:59 -07:00
parent 4947f6d8bc
commit 95ddc8341a
6 changed files with 38 additions and 17 deletions
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12
mlir/include/mlir/Dialect/Linalg/IR/LinalgStructuredOps.td
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@ -620,18 +620,22 @@ def GenericOp : LinalgStructuredBase_Op<"generic", [
"ValueRange":$outputs, "ArrayRef<AffineMap>":$indexingMaps,
"ArrayRef<StringRef>":$iteratorTypes, "StringRef":$doc,
"StringRef":$libraryCall,
CArg<"function_ref<void(OpBuilder &, Location, ValueRange)>", "nullptr">)>,
CArg<"function_ref<void(OpBuilder &, Location, ValueRange)>", "nullptr">,
CArg<"ArrayRef<NamedAttribute>", "{}">:$attributes)>,
OpBuilder<(ins "ValueRange":$inputs, "ValueRange":$outputBuffers,
"ArrayRef<AffineMap>":$indexingMaps, "ArrayRef<StringRef>":$iteratorTypes,
"StringRef":$doc, "StringRef":$libraryCall,
CArg<"function_ref<void(OpBuilder &, Location, ValueRange)>", "nullptr">)>,
CArg<"function_ref<void(OpBuilder &, Location, ValueRange)>", "nullptr">,
CArg<"ArrayRef<NamedAttribute>", "{}">:$attributes)>,
OpBuilder<(ins "TypeRange":$resultTensorTypes, "ValueRange":$inputs,
"ValueRange":$outputs, "ArrayRef<AffineMap>":$indexingMaps,
"ArrayRef<StringRef>":$iteratorTypes,
CArg<"function_ref<void(OpBuilder &, Location, ValueRange)>", "nullptr">)>,
CArg<"function_ref<void(OpBuilder &, Location, ValueRange)>", "nullptr">,
CArg<"ArrayRef<NamedAttribute>", "{}">:$attributes)>,
OpBuilder<(ins "ValueRange":$inputs, "ValueRange":$outputBuffers,
"ArrayRef<AffineMap>":$indexingMaps, "ArrayRef<StringRef>":$iteratorTypes,
CArg<"function_ref<void(OpBuilder &, Location, ValueRange)>", "nullptr">)>
CArg<"function_ref<void(OpBuilder &, Location, ValueRange)>", "nullptr">,
CArg<"ArrayRef<NamedAttribute>", "{}">:$attributes)>
];
let extraClassDeclaration = structuredOpsBaseDecls # [{

19
mlir/lib/Dialect/Linalg/IR/LinalgOps.cpp
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@ -502,13 +502,15 @@ void GenericOp::build(
OpBuilder &builder, OperationState &result, TypeRange resultTensorTypes,
ValueRange inputs, ValueRange outputs, ArrayRef<AffineMap> indexingMaps,
ArrayRef<StringRef> iteratorTypes, StringRef doc, StringRef libraryCall,
function_ref<void(OpBuilder &, Location, ValueRange)> bodyBuild) {
function_ref<void(OpBuilder &, Location, ValueRange)> bodyBuild,
ArrayRef<NamedAttribute> attributes) {
build(builder, result, resultTensorTypes, inputs, outputs,
builder.getAffineMapArrayAttr(indexingMaps),
builder.getStrArrayAttr(iteratorTypes),
doc.empty() ? StringAttr() : builder.getStringAttr(doc),
libraryCall.empty() ? StringAttr()
: builder.getStringAttr(libraryCall));
result.addAttributes(attributes);
if (!bodyBuild)
return;
@ -527,30 +529,33 @@ void GenericOp::build(
OpBuilder &builder, OperationState &result, ValueRange inputs,
ValueRange outputs, ArrayRef<AffineMap> indexingMaps,
ArrayRef<StringRef> iteratorTypes, StringRef doc, StringRef libraryCall,
function_ref<void(OpBuilder &, Location, ValueRange)> bodyBuild) {
function_ref<void(OpBuilder &, Location, ValueRange)> bodyBuild,
ArrayRef<NamedAttribute> attributes) {
build(builder, result, TypeRange{}, inputs, outputs, indexingMaps,
iteratorTypes, doc, libraryCall, bodyBuild);
iteratorTypes, doc, libraryCall, bodyBuild, attributes);
}
void GenericOp::build(
OpBuilder &builder, OperationState &result, ValueRange inputs,
ValueRange outputs, ArrayRef<AffineMap> indexingMaps,
ArrayRef<StringRef> iteratorTypes,
function_ref<void(OpBuilder &, Location, ValueRange)> bodyBuild) {
function_ref<void(OpBuilder &, Location, ValueRange)> bodyBuild,
ArrayRef<NamedAttribute> attributes) {
build(builder, result, inputs, outputs, indexingMaps, iteratorTypes,
/*doc=*/"",
/*libraryCall=*/"", bodyBuild);
/*libraryCall=*/"", bodyBuild, attributes);
}
void GenericOp::build(
OpBuilder &builder, OperationState &result, TypeRange resultTensorTypes,
ValueRange inputs, ValueRange outputs, ArrayRef<AffineMap> indexingMaps,
ArrayRef<StringRef> iteratorTypes,
function_ref<void(OpBuilder &, Location, ValueRange)> bodyBuild) {
function_ref<void(OpBuilder &, Location, ValueRange)> bodyBuild,
ArrayRef<NamedAttribute> attributes) {
build(builder, result, resultTensorTypes, inputs, outputs, indexingMaps,
iteratorTypes,
/*doc=*/"",
/*libraryCall=*/"", bodyBuild);
/*libraryCall=*/"", bodyBuild, attributes);
}
static void print(OpAsmPrinter &p, GenericOp op) {

3
mlir/test/mlir-linalg-ods-gen/test-linalg-ods-gen.tc
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@ -169,7 +169,8 @@ It has one output.
// ODS-LABEL: def Test7Op
// ODS: OpBuilder<
// ODS: (ins "TypeRange":$resultTensorTypes, "ValueRange":$inputs,
// ODS: "ValueRange":$outputs, "Attribute":$attr_a, "Attribute":$attr_b)
// ODS: "ValueRange":$outputs, "Attribute":$attr_a, "Attribute":$attr_b,
// ODS: CArg<"ArrayRef<NamedAttribute>", "{}">:$attributes)
// ODS: $_state.addAttribute("attr_a", attr_a);
// ODS: $_state.addAttribute("attr_b", attr_b);
//

1
mlir/test/mlir-linalg-ods-gen/test-linalg-ods-yaml-gen.yaml
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@ -75,6 +75,7 @@ structured_op: !LinalgStructuredOpConfig
# ODS-NEXT: $_builder.getI32VectorAttr({
# ODS-NEXT: static_cast<int32_t>(inputs.size()),
# ODS-NEXT: static_cast<int32_t>(outputs.size())}));
# ODS-NEXT: $_state.addAttributes(attributes);
# ODS-NEXT: createAndFillStructuredOpRegion<Test1Op>(
# ODS-NEXT: $_builder,
# ODS-NEXT: $_state,

12
mlir/tools/mlir-linalg-ods-gen/mlir-linalg-ods-gen.cpp
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@ -1910,7 +1910,8 @@ void TCParser::printODS(llvm::raw_ostream &os, StringRef cppOpName,
let skipDefaultBuilders = 1;
let builders = [
OpBuilder<
(ins "ValueRange":$inputs, "ValueRange":$outputs),
(ins "ValueRange":$inputs, "ValueRange":$outputs,
CArg<"ArrayRef<NamedAttribute>", "{{}">:$attributes),
[{{
$_state.addOperands(inputs);
$_state.addOperands(outputs);
@ -1919,6 +1920,7 @@ void TCParser::printODS(llvm::raw_ostream &os, StringRef cppOpName,
$_builder.getI32VectorAttr({{
static_cast<int32_t>(inputs.size()),
static_cast<int32_t>(outputs.size())}));
$_state.addAttributes(attributes);
createAndFillStructuredOpRegion<{0}>(
$_builder,
$_state,
@ -1927,7 +1929,8 @@ void TCParser::printODS(llvm::raw_ostream &os, StringRef cppOpName,
}]>,
OpBuilder<
(ins "TypeRange":$resultTensorTypes, "ValueRange":$inputs,
"ValueRange":$outputs),
"ValueRange":$outputs,
CArg<"ArrayRef<NamedAttribute>", "{{}">:$attributes),
[{{
$_state.addOperands(inputs);
$_state.addOperands(outputs);
@ -1937,6 +1940,7 @@ void TCParser::printODS(llvm::raw_ostream &os, StringRef cppOpName,
$_builder.getI32VectorAttr({{
static_cast<int32_t>(inputs.size()),
static_cast<int32_t>(outputs.size())}));
$_state.addAttributes(attributes);
createAndFillStructuredOpRegion<{0}>(
$_builder,
$_state,
@ -2020,7 +2024,8 @@ void TCParser::printODS(llvm::raw_ostream &os, StringRef cppOpName,
const char *builderFmt = R"FMT(
, OpBuilder<
(ins "TypeRange":$resultTensorTypes, "ValueRange":$inputs,
"ValueRange":$outputs, {1}),
"ValueRange":$outputs, {1},
CArg<"ArrayRef<NamedAttribute>", "{{}">:$attributes),
[{{
$_state.addOperands(inputs);
$_state.addOperands(outputs);
@ -2030,6 +2035,7 @@ void TCParser::printODS(llvm::raw_ostream &os, StringRef cppOpName,
$_builder.getI32VectorAttr({{
static_cast<int32_t>(inputs.size()),
static_cast<int32_t>(outputs.size())}));
$_state.addAttributes(attributes);
createAndFillStructuredOpRegion<{0}>(
$_builder,
$_state,

8
mlir/tools/mlir-linalg-ods-gen/mlir-linalg-ods-yaml-gen.cpp
View File

@ -457,7 +457,8 @@ def {0} : LinalgStructuredBase_Op<"{1}", !listconcat([
let skipDefaultBuilders = 1;
let builders = [
OpBuilder<
(ins "ValueRange":$inputs, "ValueRange":$outputs),
(ins "ValueRange":$inputs, "ValueRange":$outputs,
CArg<"ArrayRef<NamedAttribute>", "{{}">:$attributes),
[{{
$_state.addOperands(inputs);
$_state.addOperands(outputs);
@ -471,6 +472,7 @@ def {0} : LinalgStructuredBase_Op<"{1}", !listconcat([
$_builder.getI32VectorAttr({{
static_cast<int32_t>(inputs.size()),
static_cast<int32_t>(outputs.size())}));
$_state.addAttributes(attributes);
createAndFillStructuredOpRegion<{0}>(
$_builder,
$_state,
@ -539,7 +541,8 @@ def {0} : LinalgStructuredBase_Op<"{1}", !listconcat([
static const char structuredOpBuilderFormat[] = R"FMT(
, OpBuilder<
(ins "TypeRange":$resultTensorTypes, "ValueRange":$inputs,
"ValueRange":$outputs, {1}),
"ValueRange":$outputs, {1},
CArg<"ArrayRef<NamedAttribute>", "{{}">:$attributes),
[{{
$_state.addOperands(inputs);
$_state.addOperands(outputs);
@ -555,6 +558,7 @@ static const char structuredOpBuilderFormat[] = R"FMT(
TypeRange(inputs),
TypeRange(outputs));
{2}
$_state.addAttributes(attributes);
}]>
)FMT";