dictionary = DictAttr.get({"array": array, "unit": UnitAttr.get()})
```
+Custom builders for Attributes to be used during Operation creation can be
+registered by way of the `register_attribute_builder`. In particular the
+following is how a custom builder is registered for `I32Attr`:
+
+```python
+@register_attribute_builder("I32Attr")
+def _i32Attr(x: int, context: Context):
+ return IntegerAttr.get(
+ IntegerType.get_signless(32, context=context), x)
+```
+
+This allows to invoke op creation of an op with a `I32Attr` with
+
+```python
+foo.Op(30)
+```
+
+The registration is based on the ODS name but registry is via pure python
+method. Only single custom builder is allowed to be registered per ODS attribute
+type (e.g., I32Attr can have only one, which can correspond to multiple of the
+underlying IntegerAttr type).
+
+instead of
+
+```python
+foo.Op(IntegerAttr.get(IndexType.get_signless(32, context=context), 30))
+```
+
## Style
In general, for the core parts of MLIR, the Python bindings should be largely
/// have a DIALECT_NAMESPACE attribute.
pybind11::object registerDialectDecorator(pybind11::object pyClass);
+ /// Adds a user-friendly Attribute builder.
+ /// Raises an exception if the mapping already exists.
+ /// This is intended to be called by implementation code.
+ void registerAttributeBuilder(const std::string &attributeKind,
+ pybind11::function pyFunc);
+
/// Adds a concrete implementation dialect class.
/// Raises an exception if the mapping already exists.
/// This is intended to be called by implementation code.
pybind11::object pyClass,
pybind11::object rawOpViewClass);
+ /// Returns the custom Attribute builder for Attribute kind.
+ std::optional<pybind11::function>
+ lookupAttributeBuilder(const std::string &attributeKind);
+
/// Looks up a registered dialect class by namespace. Note that this may
/// trigger loading of the defining module and can arbitrarily re-enter.
llvm::Optional<pybind11::object>
/// Map of operation name to custom subclass that directly initializes
/// the OpView base class (bypassing the user class constructor).
llvm::StringMap<pybind11::object> rawOpViewClassMap;
+ /// Map of attribute ODS name to custom builder.
+ llvm::StringMap<pybind11::function> attributeBuilderMap;
/// Set of dialect namespaces that we have attempted to import implementation
/// modules for.
}
};
+struct PyAttrBuilderMap {
+ static bool dunderContains(const std::string &attributeKind) {
+ return PyGlobals::get().lookupAttributeBuilder(attributeKind).has_value();
+ }
+ static py::function dundeGetItemNamed(const std::string &attributeKind) {
+ auto builder = PyGlobals::get().lookupAttributeBuilder(attributeKind);
+ if (!builder)
+ throw py::key_error();
+ return *builder;
+ }
+ static void dundeSetItemNamed(const std::string &attributeKind,
+ py::function func) {
+ PyGlobals::get().registerAttributeBuilder(attributeKind, std::move(func));
+ }
+
+ static void bind(py::module &m) {
+ py::class_<PyAttrBuilderMap>(m, "AttrBuilder", py::module_local())
+ .def_static("contains", &PyAttrBuilderMap::dunderContains)
+ .def_static("get", &PyAttrBuilderMap::dundeGetItemNamed)
+ .def_static("insert", &PyAttrBuilderMap::dundeSetItemNamed);
+ }
+};
+
//------------------------------------------------------------------------------
// Collections.
//------------------------------------------------------------------------------
// Debug bindings.
PyGlobalDebugFlag::bind(m);
+
+ // Attribute builder getter.
+ PyAttrBuilderMap::bind(m);
}
loadedDialectModulesCache.insert(dialectNamespace);
}
+void PyGlobals::registerAttributeBuilder(const std::string &attributeKind,
+ py::function pyFunc) {
+ py::function &found = attributeBuilderMap[attributeKind];
+ if (found) {
+ throw std::runtime_error((llvm::Twine("Attribute builder for '") +
+ attributeKind + "' is already registered")
+ .str());
+ }
+ found = std::move(pyFunc);
+}
+
void PyGlobals::registerDialectImpl(const std::string &dialectNamespace,
py::object pyClass) {
py::object &found = dialectClassMap[dialectNamespace];
rawOpViewClassMap[operationName] = std::move(rawOpViewClass);
}
+std::optional<py::function>
+PyGlobals::lookupAttributeBuilder(const std::string &attributeKind) {
+ // Fast match against the class map first (common case).
+ const auto foundIt = attributeBuilderMap.find(attributeKind);
+ if (foundIt != attributeBuilderMap.end()) {
+ if (foundIt->second.is_none())
+ return std::nullopt;
+ assert(foundIt->second && "py::function is defined");
+ return foundIt->second;
+ }
+
+ // Not found and loading did not yield a registration. Negative cache.
+ attributeBuilderMap[attributeKind] = py::none();
+ return std::nullopt;
+}
+
llvm::Optional<py::object>
PyGlobals::lookupDialectClass(const std::string &dialectNamespace) {
loadDialectModule(dialectNamespace);
from ._mlir_libs._mlir.ir import *
from ._mlir_libs._mlir.ir import _GlobalDebug
+
+
+# Convenience decorator for registering user-friendly Attribute builders.
+def register_attribute_builder(kind):
+ def decorator_builder(func):
+ AttrBuilder.insert(kind, func)
+ return func
+ return decorator_builder
+
+
+@register_attribute_builder("BoolAttr")
+def _boolAttr(x: bool, context: Context):
+ return BoolAttr.get(x, context=context)
+
+@register_attribute_builder("IndexAttr")
+def _indexAttr(x: int, context: Context):
+ return IntegerAttr.get(IndexType.get(context=context), x)
+
+@register_attribute_builder("I32Attr")
+def _i32Attr(x: int, context: Context):
+ return IntegerAttr.get(
+ IntegerType.get_signless(32, context=context), x)
+
+@register_attribute_builder("I64Attr")
+def _i64Attr(x: int, context: Context):
+ return IntegerAttr.get(
+ IntegerType.get_signless(64, context=context), x)
+
+@register_attribute_builder("SymbolNameAttr")
+def _symbolNameAttr(x: str, context: Context):
+ return StringAttr.get(x, context=context)
+
+try:
+ import numpy as np
+ @register_attribute_builder("IndexElementsAttr")
+ def _indexElementsAttr(x: list[int], context: Context):
+ return DenseElementsAttr.get(
+ np.array(x, dtype=np.int64), type=IndexType.get(context=context),
+ context=context)
+except ImportError:
+ pass
// CHECK: results = []
// CHECK: attributes = {}
// CHECK: regions = None
- // CHECK: attributes["i32attr"] = i32attr
- // CHECK: if optionalF32Attr is not None: attributes["optionalF32Attr"] = optionalF32Attr
+ // CHECK: attributes["i32attr"] = (i32attr if (
+ // CHECK-NEXT: issubclass(type(i32attr), _ods_ir.Attribute) or
+ // CHECK-NEXT: not _ods_ir.AttrBuilder.contains('I32Attr')
+ // CHECK-NEXT: _ods_ir.AttrBuilder.get('I32Attr')(i32attr, context=_ods_context)
+ // CHECK: if optionalF32Attr is not None: attributes["optionalF32Attr"] = (optionalF32Attr
// CHECK: if bool(unitAttr): attributes["unitAttr"] = _ods_ir.UnitAttr.get(
// CHECK: _ods_get_default_loc_context(loc))
- // CHECK: attributes["in"] = in_
+ // CHECK: attributes["in"] = (in_
// CHECK: _ods_successors = None
// CHECK: super().__init__(self.build_generic(
// CHECK: attributes=attributes, results=results, operands=operands,
// CHECK: operands.append(_get_op_result_or_value(_gen_arg_2))
// CHECK: if bool(in_): attributes["in"] = _ods_ir.UnitAttr.get(
// CHECK: _ods_get_default_loc_context(loc))
- // CHECK: if is_ is not None: attributes["is"] = is_
+ // CHECK: if is_ is not None: attributes["is"] = (is_
// CHECK: _ods_successors = None
// CHECK: super().__init__(self.build_generic(
// CHECK: attributes=attributes, results=results, operands=operands,
// CHECK: results = []
// CHECK: attributes = {}
// CHECK: regions = None
- // CHECK: if arr is not None: attributes["arr"] = arr
- // CHECK: if unsupported is not None: attributes["unsupported"] = unsupported
+ // CHECK: if arr is not None: attributes["arr"] = (arr
+ // CHECK: if unsupported is not None: attributes["unsupported"] = (unsupported
// CHECK: _ods_successors = None
// CHECK: super().__init__(self.build_generic(
// CHECK: attributes=attributes, results=results, operands=operands,
// CHECK-LABEL: OPERATION_NAME = "test.derive_result_types_op"
def DeriveResultTypesOp : TestOp<"derive_result_types_op", [FirstAttrDerivedResultType]> {
- // CHECK: def __init__(self, type, *, loc=None, ip=None):
+ // CHECK: def __init__(self, type_, *, loc=None, ip=None):
// CHECK: operands = []
// CHECK: results = []
// CHECK: _ods_result_type_source_attr = attributes["type"]
// CHECK-LABEL: OPERATION_NAME = "test.derive_result_types_variadic_op"
def DeriveResultTypesVariadicOp : TestOp<"derive_result_types_variadic_op", [FirstAttrDerivedResultType]> {
- // CHECK: def __init__(self, res, _gen_res_1, type, *, loc=None, ip=None):
+ // CHECK: def __init__(self, res, _gen_res_1, type_, *, loc=None, ip=None):
let arguments = (ins TypeAttr:$type);
let results = (outs AnyType:$res, Variadic<AnyType>);
}
@func.FuncOp.from_py_func(
RankedTensorType.get((12, ShapedType.get_dynamic_size()), f32))
def const_shape_tensor(arg):
+ shape.ConstWitnessOp(False)
+ shape.ConstSizeOp(30)
+ shape.ConstSizeOp(IntegerAttr.get(IndexType.get(), 40))
+ shape.ConstShapeOp([1, 2])
return shape.ConstShapeOp(
- DenseElementsAttr.get(np.array([10, 20], dtype=np.int64), type=IndexType.get()))
+ DenseElementsAttr.get(
+ np.array([3, 4], dtype=np.int64), type=IndexType.get()))
# CHECK-LABEL: func @const_shape_tensor(%arg0: tensor<12x?xf32>)
- # CHECK: shape.const_shape [10, 20] : tensor<2xindex>
+ # CHECK-DAG: shape.const_witness false
+ # CHECK-DAG: shape.const_size 30
+ # CHECK-DAG: shape.const_size 40
+ # CHECK-DAG: shape.const_shape [1, 2] : tensor<2xindex>
+ # CHECK-DAG: shape.const_shape [3, 4] : tensor<2xindex>
print(module)
using AttributeClasses = DenseMap<StringRef, StringRef>;
-/// Checks whether `str` is a Python keyword.
-static bool isPythonKeyword(StringRef str) {
- static llvm::StringSet<> keywords(
- {"and", "as", "assert", "break", "class", "continue",
- "def", "del", "elif", "else", "except", "finally",
- "for", "from", "global", "if", "import", "in",
- "is", "lambda", "nonlocal", "not", "or", "pass",
- "raise", "return", "try", "while", "with", "yield"});
- return keywords.contains(str);
+/// Checks whether `str` is a Python keyword or would shadow builtin function.
+static bool isPythonReserved(StringRef str) {
+ static llvm::StringSet<> reserved(
+ {"and", "as", "assert", "break", "callable", "class",
+ "continue", "def", "del", "elif", "else", "except",
+ "finally", "for", "from", "global", "if", "import",
+ "in", "is", "lambda", "nonlocal", "not", "or",
+ "pass", "raise", "return", "issubclass", "try", "type",
+ "while", "with", "yield"});
+ return reserved.contains(str);
}
/// Checks whether `str` would shadow a generated variable or attribute
/// (does not change the `name` if it already is suitable) and returns the
/// modified version.
static std::string sanitizeName(StringRef name) {
- if (isPythonKeyword(name) || isODSReserved(name))
+ if (isPythonReserved(name) || isODSReserved(name))
return (name + "_").str();
return name.str();
}
"operands.append(_get_op_results_or_values({0}))";
constexpr const char *multiResultAppendTemplate = "results.extend({0})";
-/// Template for setting an attribute in the operation builder.
-/// {0} is the attribute name;
-/// {1} is the builder argument name.
-constexpr const char *initAttributeTemplate = R"Py(attributes["{0}"] = {1})Py";
-
-/// Template for setting an optional attribute in the operation builder.
-/// {0} is the attribute name;
-/// {1} is the builder argument name.
-constexpr const char *initOptionalAttributeTemplate =
- R"Py(if {1} is not None: attributes["{0}"] = {1})Py";
+/// Template for attribute builder from raw input in the operation builder.
+/// {0} is the builder argument name;
+/// {1} is the attribute builder from raw;
+/// {2} is the attribute builder from raw.
+/// Use the value the user passed in if either it is already an Attribute or
+/// there is no method registered to make it an Attribute.
+constexpr const char *initAttributeWithBuilderTemplate =
+ R"Py(attributes["{1}"] = ({0} if (
+ issubclass(type({0}), _ods_ir.Attribute) or
+ not _ods_ir.AttrBuilder.contains('{2}')) else
+ _ods_ir.AttrBuilder.get('{2}')({0}, context=_ods_context)))Py";
+
+/// Template for attribute builder from raw input for optional attribute in the
+/// operation builder.
+/// {0} is the builder argument name;
+/// {1} is the attribute builder from raw;
+/// {2} is the attribute builder from raw.
+/// Use the value the user passed in if either it is already an Attribute or
+/// there is no method registered to make it an Attribute.
+constexpr const char *initOptionalAttributeWithBuilderTemplate =
+ R"Py(if {0} is not None: attributes["{1}"] = ({0} if (
+ issubclass(type({0}), _ods_ir.Attribute) or
+ not _ods_ir.AttrBuilder.contains('{2}')) else
+ _ods_ir.AttrBuilder.get('{2}')({0}, context=_ods_context)))Py";
constexpr const char *initUnitAttributeTemplate =
R"Py(if bool({1}): attributes["{0}"] = _ods_ir.UnitAttr.get(
populateBuilderLinesAttr(const Operator &op,
llvm::ArrayRef<std::string> argNames,
llvm::SmallVectorImpl<std::string> &builderLines) {
+ builderLines.push_back("_ods_context = _ods_get_default_loc_context(loc)");
for (int i = 0, e = op.getNumArgs(); i < e; ++i) {
Argument arg = op.getArg(i);
auto *attribute = arg.dyn_cast<NamedAttribute *>();
}
builderLines.push_back(llvm::formatv(
- (attribute->attr.isOptional() || attribute->attr.hasDefaultValue())
- ? initOptionalAttributeTemplate
- : initAttributeTemplate,
- attribute->name, argNames[i]));
+ attribute->attr.isOptional() || attribute->attr.hasDefaultValue()
+ ? initOptionalAttributeWithBuilderTemplate
+ : initAttributeWithBuilderTemplate,
+ argNames[i], attribute->name, attribute->attr.getAttrDefName()));
}
}
/// corresponding interface:
/// - {0} is the name of the class for which the types are inferred.
constexpr const char *inferTypeInterfaceTemplate =
- R"PY(_ods_context = _ods_get_default_loc_context(loc)
-results = _ods_ir.InferTypeOpInterface({0}).inferReturnTypes(
+ R"PY(results = _ods_ir.InferTypeOpInterface({0}).inferReturnTypes(
operands=operands,
attributes=_ods_ir.DictAttr.get(attributes, context=_ods_context),
context=_ods_context,
projects / platform / upstream / llvm.git / commitdiff