refactorone
Validate Operations / validate-operations (push) Has been cancelled

This commit is contained in:
NiccoloN
2026-05-20 19:06:41 +02:00
parent f56c4159b5
commit a50e77ff38
50 changed files with 3420 additions and 1187 deletions
+152 -218
View File
@@ -23,22 +23,6 @@ static bool parseOptionalKeywordAlias(OpAsmParser& parser, StringRef preferred,
return succeeded(parser.parseOptionalKeyword(preferred)) || succeeded(parser.parseOptionalKeyword(legacy));
}
static void printChannelMetadata(OpAsmPrinter& printer,
ArrayRef<int64_t> channelIds,
ArrayRef<int32_t> sourceCoreIds,
ArrayRef<int32_t> targetCoreIds) {
printer << " channels ";
printCompressedIntegerList(printer, channelIds);
printer << " from ";
printCompressedIntegerList(printer, sourceCoreIds);
printer << " to ";
printCompressedIntegerList(printer, targetCoreIds);
}
static DenseI64ArrayAttr getDenseI64ArrayAttr(OpAsmParser& parser, ArrayRef<int64_t> values) {
return parser.getBuilder().getDenseI64ArrayAttr(values);
}
static DenseI32ArrayAttr getDenseI32ArrayAttr(OpAsmParser& parser, ArrayRef<int32_t> values) {
return parser.getBuilder().getDenseI32ArrayAttr(values);
}
@@ -47,94 +31,89 @@ static IntegerAttr getI32Attr(OpAsmParser& parser, int32_t value) {
return parser.getBuilder().getI32IntegerAttr(value);
}
template <typename TensorSendOpTy>
static void printTensorSendOp(OpAsmPrinter& printer, TensorSendOpTy op) {
printer << " ";
printer.printOperand(op.getInput());
printChannelMetadata(printer, op.getChannelIds(), op.getSourceCoreIds(), op.getTargetCoreIds());
printer.printOptionalAttrDict(op->getAttrs(),
{op.getChannelIdsAttrName().getValue(),
op.getSourceCoreIdsAttrName().getValue(),
op.getTargetCoreIdsAttrName().getValue()});
printer << " : ";
printer.printType(op.getInput().getType());
static void printBlockArgumentList(OpAsmPrinter& printer, ArrayRef<BlockArgument> arguments) {
printer << "(";
for (auto [index, argument] : llvm::enumerate(arguments)) {
if (index != 0)
printer << ", ";
printer.printOperand(argument);
}
printer << ")";
}
template <typename TensorReceiveOpTy>
static void printTensorReceiveOp(OpAsmPrinter& printer, TensorReceiveOpTy op) {
printChannelMetadata(printer, op.getChannelIds(), op.getSourceCoreIds(), op.getTargetCoreIds());
printer.printOptionalAttrDict(op->getAttrs(),
{op.getChannelIdsAttrName().getValue(),
op.getSourceCoreIdsAttrName().getValue(),
op.getTargetCoreIdsAttrName().getValue()});
printer << " : ";
printer.printType(op.getOutput().getType());
}
static ParseResult parseTensorSendOp(OpAsmParser& parser, OperationState& result) {
OpAsmParser::UnresolvedOperand input;
Type inputType;
SmallVector<int64_t> channelIds;
SmallVector<int32_t> sourceCoreIds;
SmallVector<int32_t> targetCoreIds;
if (parser.parseOperand(input))
static ParseResult parseBlockArgumentList(OpAsmParser& parser, SmallVectorImpl<OpAsmParser::Argument>& arguments) {
if (parser.parseLParen())
return failure();
if (succeeded(parser.parseOptionalRParen()))
return success();
bool hasMetadata = succeeded(parser.parseOptionalKeyword("channels"));
if (hasMetadata) {
if (parseCompressedIntegerList(parser, channelIds) || parser.parseKeyword("from")
|| parseCompressedIntegerList(parser, sourceCoreIds) || parser.parseKeyword("to")
|| parseCompressedIntegerList(parser, targetCoreIds))
OpAsmParser::Argument argument;
if (parser.parseArgument(argument))
return failure();
arguments.push_back(argument);
while (succeeded(parser.parseOptionalComma())) {
if (parser.parseArgument(argument))
return failure();
arguments.push_back(argument);
}
if (parser.parseOptionalAttrDict(result.attributes) || parser.parseColon() || parser.parseType(inputType))
return failure();
if (hasMetadata
&& (result.attributes.get("channelIds") || result.attributes.get("sourceCoreIds")
|| result.attributes.get("targetCoreIds")))
return parser.emitError(parser.getCurrentLocation(),
"channel metadata cannot be specified both positionally and in attr-dict");
if (hasMetadata) {
result.addAttribute("channelIds", getDenseI64ArrayAttr(parser, channelIds));
result.addAttribute("sourceCoreIds", getDenseI32ArrayAttr(parser, sourceCoreIds));
result.addAttribute("targetCoreIds", getDenseI32ArrayAttr(parser, targetCoreIds));
}
return parser.resolveOperand(input, inputType, result.operands);
return parser.parseRParen();
}
static ParseResult parseTensorReceiveOp(OpAsmParser& parser, OperationState& result) {
Type outputType;
SmallVector<int64_t> channelIds;
SmallVector<int32_t> sourceCoreIds;
SmallVector<int32_t> targetCoreIds;
static void applyBatchRegionArgumentTypes(ArrayRef<Type> inputTypes,
ArrayRef<Type> weightTypes,
ArrayRef<Type> outputTypes,
OpAsmParser::Argument& laneArg,
SmallVectorImpl<OpAsmParser::Argument>& weightArgs,
SmallVectorImpl<OpAsmParser::Argument>& inputArgs,
SmallVectorImpl<OpAsmParser::Argument>& outputArgs,
SmallVectorImpl<OpAsmParser::Argument>& regionArgs,
Builder& builder) {
laneArg.type = builder.getIndexType();
regionArgs.push_back(laneArg);
applyArgumentTypes(weightTypes, weightArgs);
llvm::append_range(regionArgs, weightArgs);
applyArgumentTypes(inputTypes, inputArgs);
applyArgumentTypes(outputTypes, outputArgs);
llvm::append_range(regionArgs, inputArgs);
llvm::append_range(regionArgs, outputArgs);
}
bool hasMetadata = succeeded(parser.parseOptionalKeyword("channels"));
if (hasMetadata) {
if (parseCompressedIntegerList(parser, channelIds) || parser.parseKeyword("from")
|| parseCompressedIntegerList(parser, sourceCoreIds) || parser.parseKeyword("to")
|| parseCompressedIntegerList(parser, targetCoreIds))
return failure();
}
static void
printBoundValueList(OpAsmPrinter& printer, ValueRange arguments, ValueRange operands, ListDelimiter delimiter) {
printCompressedValueList(printer, arguments, delimiter);
printer << " = ";
printCompressedValueList(printer, operands, delimiter);
}
if (parser.parseOptionalAttrDict(result.attributes) || parser.parseColon() || parser.parseType(outputType))
static ParseResult parseBoundValueList(OpAsmParser& parser,
ListDelimiter delimiter,
SmallVectorImpl<OpAsmParser::Argument>& arguments,
SmallVectorImpl<OpAsmParser::UnresolvedOperand>& operands) {
if (parseOpenDelimiter(parser, delimiter))
return failure();
if (hasMetadata
&& (result.attributes.get("channelIds") || result.attributes.get("sourceCoreIds")
|| result.attributes.get("targetCoreIds")))
return parser.emitError(parser.getCurrentLocation(),
"channel metadata cannot be specified both positionally and in attr-dict");
if (hasMetadata) {
result.addAttribute("channelIds", getDenseI64ArrayAttr(parser, channelIds));
result.addAttribute("sourceCoreIds", getDenseI32ArrayAttr(parser, sourceCoreIds));
result.addAttribute("targetCoreIds", getDenseI32ArrayAttr(parser, targetCoreIds));
if (succeeded(parseOptionalCloseDelimiter(parser, delimiter))) {
if (parser.parseEqual() || parseCompressedOperandList(parser, delimiter, operands))
return failure();
return success();
}
result.addTypes(outputType);
if (parseOneCompressedArgumentEntry(parser, arguments))
return failure();
while (succeeded(parser.parseOptionalComma()))
if (parseOneCompressedArgumentEntry(parser, arguments))
return failure();
auto parseCloseDelimiter = [&](ListDelimiter currentDelimiter) -> ParseResult {
switch (currentDelimiter) {
case ListDelimiter::Paren:
return parser.parseRParen();
case ListDelimiter::Square:
return parser.parseRSquare();
}
llvm_unreachable("unsupported delimiter");
};
if (parseCloseDelimiter(delimiter) || parser.parseEqual() || parseCompressedOperandList(parser, delimiter, operands)) {
return failure();
}
return success();
}
@@ -243,9 +222,17 @@ ParseResult SpatConcatOp::parse(OpAsmParser& parser, OperationState& result) {
void SpatCompute::print(OpAsmPrinter& printer) {
printer << " ";
printCompressedValueList(printer, getWeights(), ListDelimiter::Square);
SmallVector<Value> weightArgs;
weightArgs.reserve(getWeights().size());
for (unsigned index = 0; index < getWeights().size(); ++index)
weightArgs.push_back(getWeightArgument(index));
printBoundValueList(printer, weightArgs, getWeights(), ListDelimiter::Square);
printer << " ";
printArgumentBindings(printer, getBody().front(), getInputs());
SmallVector<Value> inputArgs;
inputArgs.reserve(getInputs().size());
for (unsigned index = 0; index < getInputs().size(); ++index)
inputArgs.push_back(getInputArgument(index));
printBoundValueList(printer, inputArgs, getInputs(), ListDelimiter::Paren);
if (auto coreIdAttr = (*this)->getAttrOfType<IntegerAttr>(onnx_mlir::kCoreIdAttrName))
printer << " coreId " << coreIdAttr.getInt();
@@ -264,6 +251,7 @@ void SpatCompute::print(OpAsmPrinter& printer) {
}
ParseResult SpatCompute::parse(OpAsmParser& parser, OperationState& result) {
SmallVector<OpAsmParser::Argument> weightArgs;
SmallVector<OpAsmParser::Argument> regionArgs;
SmallVector<OpAsmParser::UnresolvedOperand> weights;
SmallVector<OpAsmParser::UnresolvedOperand> inputs;
@@ -272,10 +260,11 @@ ParseResult SpatCompute::parse(OpAsmParser& parser, OperationState& result) {
SmallVector<Type> outputTypes;
int32_t coreId = 0;
if (parseCompressedOperandList(parser, ListDelimiter::Square, weights))
if (parseBoundValueList(parser, ListDelimiter::Square, weightArgs, weights))
return failure();
if (parseArgumentBindings(parser, regionArgs, inputs))
SmallVector<OpAsmParser::Argument> inputArgs;
if (parseBoundValueList(parser, ListDelimiter::Paren, inputArgs, inputs))
return failure();
bool hasCoreId = parseOptionalKeywordAlias(parser, "coreId", "core_id");
@@ -292,9 +281,11 @@ ParseResult SpatCompute::parse(OpAsmParser& parser, OperationState& result) {
if (weights.size() != weightTypes.size())
return parser.emitError(parser.getCurrentLocation(), "number of weights and weight types must match");
if (weightArgs.size() != weights.size())
return parser.emitError(parser.getCurrentLocation(), "number of weight bindings and weight operands must match");
if (inputs.size() != inputTypes.size())
return parser.emitError(parser.getCurrentLocation(), "number of inputs and input types must match");
if (regionArgs.size() != inputs.size())
if (inputArgs.size() != inputs.size())
return parser.emitError(parser.getCurrentLocation(), "number of argument bindings and input operands must match");
if (hasCoreId && result.attributes.get(onnx_mlir::kCoreIdAttrName))
return parser.emitError(parser.getCurrentLocation(),
@@ -313,19 +304,39 @@ ParseResult SpatCompute::parse(OpAsmParser& parser, OperationState& result) {
result.addTypes(outputTypes);
Region* body = result.addRegion();
applyArgumentTypes(inputTypes, regionArgs);
applyArgumentTypes(weightTypes, weightArgs);
applyArgumentTypes(inputTypes, inputArgs);
llvm::append_range(regionArgs, weightArgs);
llvm::append_range(regionArgs, inputArgs);
return parser.parseRegion(*body, regionArgs);
}
void SpatComputeBatch::print(OpAsmPrinter& printer) {
printer << " lanes " << getLaneCount() << " ";
size_t weightsPerLane = getLaneCount() > 0 ? getWeights().size() / static_cast<size_t>(getLaneCount()) : 0;
if (getLaneCount() > 1 && hasRepeatedTuple(getWeights(), weightsPerLane))
printValueTupleRun(printer, getWeights(), weightsPerLane, ListDelimiter::Square);
else
printCompressedValueList(printer, getWeights(), ListDelimiter::Square);
printer << " ";
printArgumentBindings(printer, getBody().front(), getInputs());
printer.printOperand(getLaneArgument());
printer << " = 0 to " << getLaneCount();
printer << " ";
SmallVector<Value> weightArgs;
weightArgs.reserve(getWeights().size());
for (unsigned index = 0; index < getWeights().size(); ++index)
weightArgs.push_back(getWeightArgument(index));
printBoundValueList(printer, weightArgs, getWeights(), ListDelimiter::Square);
printer << " ";
SmallVector<Value> inputArgs;
inputArgs.reserve(getInputs().size());
for (unsigned index = 0; index < getInputs().size(); ++index)
inputArgs.push_back(getInputArgument(index));
printBoundValueList(printer, inputArgs, getInputs(), ListDelimiter::Paren);
if (getNumResults() != 0) {
printer << " shared_outs";
SmallVector<BlockArgument> outputArgs;
outputArgs.reserve(getNumResults());
for (unsigned index = 0; index < getNumResults(); ++index)
outputArgs.push_back(getOutputArgument(index));
printBlockArgumentList(printer, outputArgs);
}
if (auto coreIdsAttr = (*this)->getAttrOfType<DenseI32ArrayAttr>(onnx_mlir::kCoreIdsAttrName)) {
printer << " coreIds ";
@@ -337,10 +348,7 @@ void SpatComputeBatch::print(OpAsmPrinter& printer) {
{getLaneCountAttrName().getValue(), getOperandSegmentSizesAttrName().getValue(), onnx_mlir::kCoreIdsAttrName});
printer << " : ";
if (getLaneCount() > 1 && hasRepeatedTuple(TypeRange(getWeights()), weightsPerLane))
printTypeTupleRun(printer, TypeRange(getWeights()), weightsPerLane, ListDelimiter::Square);
else
printCompressedTypeList(printer, TypeRange(getWeights()), ListDelimiter::Square);
printCompressedTypeList(printer, TypeRange(getWeights()), ListDelimiter::Square);
printer << " ";
printCompressedTypeList(printer, TypeRange(getInputs()), ListDelimiter::Paren);
printer << " -> ";
@@ -350,7 +358,12 @@ void SpatComputeBatch::print(OpAsmPrinter& printer) {
}
ParseResult SpatComputeBatch::parse(OpAsmParser& parser, OperationState& result) {
int64_t lowerBound = 0;
int32_t laneCount = 0;
OpAsmParser::Argument laneArg;
SmallVector<OpAsmParser::Argument> weightArgs;
SmallVector<OpAsmParser::Argument> inputArgs;
SmallVector<OpAsmParser::Argument> outputArgs;
SmallVector<OpAsmParser::Argument> regionArgs;
SmallVector<OpAsmParser::UnresolvedOperand> weights;
SmallVector<OpAsmParser::UnresolvedOperand> inputs;
@@ -359,14 +372,21 @@ ParseResult SpatComputeBatch::parse(OpAsmParser& parser, OperationState& result)
SmallVector<Type> outputTypes;
SmallVector<int32_t> coreIds;
if (parser.parseKeyword("lanes") || parser.parseInteger(laneCount))
if (parser.parseArgument(laneArg) || parser.parseEqual() || parser.parseInteger(lowerBound)
|| parser.parseKeyword("to") || parser.parseInteger(laneCount))
return failure();
if (lowerBound != 0)
return parser.emitError(parser.getCurrentLocation(), "compute_batch currently requires a zero lower bound");
if (parseBoundValueList(parser, ListDelimiter::Square, weightArgs, weights))
return failure();
if (parseCompressedOrTupleOperandList(parser, ListDelimiter::Square, weights))
if (parseBoundValueList(parser, ListDelimiter::Paren, inputArgs, inputs))
return failure();
if (parseArgumentBindings(parser, regionArgs, inputs))
return failure();
if (succeeded(parser.parseOptionalKeyword("shared_outs")))
if (parseBlockArgumentList(parser, outputArgs))
return failure();
bool hasCoreIds = parseOptionalKeywordAlias(parser, "coreIds", "core_ids");
if (hasCoreIds && parseCompressedIntegerList(parser, coreIds))
@@ -381,10 +401,15 @@ ParseResult SpatComputeBatch::parse(OpAsmParser& parser, OperationState& result)
if (weights.size() != weightTypes.size())
return parser.emitError(parser.getCurrentLocation(), "number of weights and weight types must match");
if (weightArgs.size() != weights.size())
return parser.emitError(parser.getCurrentLocation(), "number of weight bindings and weight operands must match");
if (inputs.size() != inputTypes.size())
return parser.emitError(parser.getCurrentLocation(), "number of inputs and input types must match");
if (regionArgs.size() != inputs.size())
if (inputArgs.size() != inputs.size())
return parser.emitError(parser.getCurrentLocation(), "number of argument bindings and input operands must match");
if (outputArgs.size() != outputTypes.size())
return parser.emitError(parser.getCurrentLocation(),
"number of shared output bindings and result types must match");
if (hasCoreIds && result.attributes.get(onnx_mlir::kCoreIdsAttrName))
return parser.emitError(parser.getCurrentLocation(),
"coreIds cannot be specified both positionally and in attr-dict");
@@ -403,119 +428,28 @@ ParseResult SpatComputeBatch::parse(OpAsmParser& parser, OperationState& result)
result.addTypes(outputTypes);
Region* body = result.addRegion();
applyArgumentTypes(inputTypes, regionArgs);
applyBatchRegionArgumentTypes(
inputTypes, weightTypes, outputTypes, laneArg, weightArgs, inputArgs, outputArgs, regionArgs, parser.getBuilder());
return parser.parseRegion(*body, regionArgs);
}
void SpatChannelSendTensorOp::print(OpAsmPrinter& printer) { printTensorSendOp(printer, *this); }
ParseResult SpatChannelSendTensorOp::parse(OpAsmParser& parser, OperationState& result) {
return parseTensorSendOp(parser, result);
}
void SpatChannelSendBatchOp::print(OpAsmPrinter& printer) {
void SpatInParallelOp::print(OpAsmPrinter& printer) {
printer << " ";
printer.printOperand(getInput());
printChannelMetadata(printer, getChannelIds(), getSourceCoreIds(), getTargetCoreIds());
printer.printOptionalAttrDict(
(*this)->getAttrs(),
{getChannelIdsAttrName().getValue(), getSourceCoreIdsAttrName().getValue(), getTargetCoreIdsAttrName().getValue()});
printer << " : ";
printer.printType(getInput().getType());
printer.printRegion(getRegion(), /*printEntryBlockArgs=*/false, /*printBlockTerminators=*/false);
printer.printOptionalAttrDict((*this)->getAttrs());
}
ParseResult SpatChannelSendBatchOp::parse(OpAsmParser& parser, OperationState& result) {
OpAsmParser::UnresolvedOperand input;
Type inputType;
SmallVector<int64_t> channelIds;
SmallVector<int32_t> sourceCoreIds;
SmallVector<int32_t> targetCoreIds;
if (parser.parseOperand(input))
ParseResult SpatInParallelOp::parse(OpAsmParser& parser, OperationState& result) {
auto& builder = parser.getBuilder();
std::unique_ptr<Region> region = std::make_unique<Region>();
SmallVector<OpAsmParser::Argument, 4> regionArgs;
if (parser.parseRegion(*region, regionArgs))
return failure();
bool hasMetadata = succeeded(parser.parseOptionalKeyword("channels"));
if (hasMetadata) {
if (parseCompressedIntegerList(parser, channelIds) || parser.parseKeyword("from")
|| parseCompressedIntegerList(parser, sourceCoreIds) || parser.parseKeyword("to")
|| parseCompressedIntegerList(parser, targetCoreIds))
return failure();
}
if (parser.parseOptionalAttrDict(result.attributes) || parser.parseColon() || parser.parseType(inputType))
return failure();
if (hasMetadata
&& (result.attributes.get("channelIds") || result.attributes.get("sourceCoreIds")
|| result.attributes.get("targetCoreIds")))
return parser.emitError(parser.getCurrentLocation(),
"channel metadata cannot be specified both positionally and in attr-dict");
if (hasMetadata) {
result.addAttribute("channelIds", getDenseI64ArrayAttr(parser, channelIds));
result.addAttribute("sourceCoreIds", getDenseI32ArrayAttr(parser, sourceCoreIds));
result.addAttribute("targetCoreIds", getDenseI32ArrayAttr(parser, targetCoreIds));
}
return parser.resolveOperand(input, inputType, result.operands);
}
void SpatChannelSendTensorBatchOp::print(OpAsmPrinter& printer) { printTensorSendOp(printer, *this); }
ParseResult SpatChannelSendTensorBatchOp::parse(OpAsmParser& parser, OperationState& result) {
return parseTensorSendOp(parser, result);
}
void SpatChannelReceiveTensorOp::print(OpAsmPrinter& printer) { printTensorReceiveOp(printer, *this); }
ParseResult SpatChannelReceiveTensorOp::parse(OpAsmParser& parser, OperationState& result) {
return parseTensorReceiveOp(parser, result);
}
void SpatChannelReceiveBatchOp::print(OpAsmPrinter& printer) {
printChannelMetadata(printer, getChannelIds(), getSourceCoreIds(), getTargetCoreIds());
printer.printOptionalAttrDict(
(*this)->getAttrs(),
{getChannelIdsAttrName().getValue(), getSourceCoreIdsAttrName().getValue(), getTargetCoreIdsAttrName().getValue()});
printer << " : ";
printer.printType(getOutput().getType());
}
ParseResult SpatChannelReceiveBatchOp::parse(OpAsmParser& parser, OperationState& result) {
Type outputType;
SmallVector<int64_t> channelIds;
SmallVector<int32_t> sourceCoreIds;
SmallVector<int32_t> targetCoreIds;
bool hasMetadata = succeeded(parser.parseOptionalKeyword("channels"));
if (hasMetadata) {
if (parseCompressedIntegerList(parser, channelIds) || parser.parseKeyword("from")
|| parseCompressedIntegerList(parser, sourceCoreIds) || parser.parseKeyword("to")
|| parseCompressedIntegerList(parser, targetCoreIds))
return failure();
}
if (parser.parseOptionalAttrDict(result.attributes) || parser.parseColon() || parser.parseType(outputType))
return failure();
if (hasMetadata
&& (result.attributes.get("channelIds") || result.attributes.get("sourceCoreIds")
|| result.attributes.get("targetCoreIds")))
return parser.emitError(parser.getCurrentLocation(),
"channel metadata cannot be specified both positionally and in attr-dict");
if (hasMetadata) {
result.addAttribute("channelIds", getDenseI64ArrayAttr(parser, channelIds));
result.addAttribute("sourceCoreIds", getDenseI32ArrayAttr(parser, sourceCoreIds));
result.addAttribute("targetCoreIds", getDenseI32ArrayAttr(parser, targetCoreIds));
}
result.addTypes(outputType);
return success();
}
void SpatChannelReceiveTensorBatchOp::print(OpAsmPrinter& printer) { printTensorReceiveOp(printer, *this); }
ParseResult SpatChannelReceiveTensorBatchOp::parse(OpAsmParser& parser, OperationState& result) {
return parseTensorReceiveOp(parser, result);
if (region->empty())
OpBuilder(builder.getContext()).createBlock(region.get());
result.addRegion(std::move(region));
return parser.parseOptionalAttrDict(result.attributes);
}
} // namespace spatial