//===- IRModules.cpp - IR Submodules of pybind module ---------------------===// // // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. // See https://llvm.org/LICENSE.txt for license information. // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception // //===----------------------------------------------------------------------===// #include "IRModules.h" #include "PybindUtils.h" #include "mlir-c/StandardAttributes.h" #include "mlir-c/StandardTypes.h" #include "llvm/ADT/SmallVector.h" #include namespace py = pybind11; using namespace mlir; using namespace mlir::python; using llvm::SmallVector; //------------------------------------------------------------------------------ // Docstrings (trivial, non-duplicated docstrings are included inline). //------------------------------------------------------------------------------ static const char kContextParseDocstring[] = R"(Parses a module's assembly format from a string. Returns a new MlirModule or raises a ValueError if the parsing fails. See also: https://mlir.llvm.org/docs/LangRef/ )"; static const char kContextParseTypeDocstring[] = R"(Parses the assembly form of a type. Returns a Type object or raises a ValueError if the type cannot be parsed. See also: https://mlir.llvm.org/docs/LangRef/#type-system )"; static const char kContextGetUnknownLocationDocstring[] = R"(Gets a Location representing an unknown location)"; static const char kContextGetFileLocationDocstring[] = R"(Gets a Location representing a file, line and column)"; static const char kContextCreateBlockDocstring[] = R"(Creates a detached block)"; static const char kContextCreateRegionDocstring[] = R"(Creates a detached region)"; static const char kRegionAppendBlockDocstring[] = R"(Appends a block to a region. Raises: ValueError: If the block is already attached to another region. )"; static const char kRegionInsertBlockDocstring[] = R"(Inserts a block at a postiion in a region. Raises: ValueError: If the block is already attached to another region. )"; static const char kRegionFirstBlockDocstring[] = R"(Gets the first block in a region. Blocks can also be accessed via the `blocks` container. Raises: IndexError: If the region has no blocks. )"; static const char kBlockNextInRegionDocstring[] = R"(Gets the next block in the enclosing region. Blocks can also be accessed via the `blocks` container of the owning region. This method exists to mirror the lower level API and should not be preferred. Raises: IndexError: If there are no further blocks. )"; static const char kOperationStrDunderDocstring[] = R"(Prints the assembly form of the operation with default options. If more advanced control over the assembly formatting or I/O options is needed, use the dedicated print method, which supports keyword arguments to customize behavior. )"; static const char kTypeStrDunderDocstring[] = R"(Prints the assembly form of the type.)"; static const char kDumpDocstring[] = R"(Dumps a debug representation of the object to stderr.)"; //------------------------------------------------------------------------------ // Conversion utilities. //------------------------------------------------------------------------------ namespace { /// Accumulates into a python string from a method that accepts an /// MlirStringCallback. struct PyPrintAccumulator { py::list parts; void *getUserData() { return this; } MlirStringCallback getCallback() { return [](const char *part, intptr_t size, void *userData) { PyPrintAccumulator *printAccum = static_cast(userData); py::str pyPart(part, size); // Decodes as UTF-8 by default. printAccum->parts.append(std::move(pyPart)); }; } py::str join() { py::str delim("", 0); return delim.attr("join")(parts); } }; /// Accumulates into a python string from a method that is expected to make /// one (no more, no less) call to the callback (asserts internally on /// violation). struct PySinglePartStringAccumulator { void *getUserData() { return this; } MlirStringCallback getCallback() { return [](const char *part, intptr_t size, void *userData) { PySinglePartStringAccumulator *accum = static_cast(userData); assert(!accum->invoked && "PySinglePartStringAccumulator called back multiple times"); accum->invoked = true; accum->value = py::str(part, size); }; } py::str takeValue() { assert(invoked && "PySinglePartStringAccumulator not called back"); return std::move(value); } private: py::str value; bool invoked = false; }; } // namespace //------------------------------------------------------------------------------ // Type-checking utilities. //------------------------------------------------------------------------------ namespace { /// Checks whether the given type is an integer or float type. int mlirTypeIsAIntegerOrFloat(MlirType type) { return mlirTypeIsAInteger(type) || mlirTypeIsABF16(type) || mlirTypeIsAF16(type) || mlirTypeIsAF32(type) || mlirTypeIsAF64(type); } } // namespace //------------------------------------------------------------------------------ // PyMlirContext //------------------------------------------------------------------------------ PyMlirContext::PyMlirContext(MlirContext context) : context(context) { py::gil_scoped_acquire acquire; auto &liveContexts = getLiveContexts(); liveContexts[context.ptr] = this; } PyMlirContext::~PyMlirContext() { // Note that the only public way to construct an instance is via the // forContext method, which always puts the associated handle into // liveContexts. py::gil_scoped_acquire acquire; getLiveContexts().erase(context.ptr); mlirContextDestroy(context); } PyMlirContext *PyMlirContext::createNewContextForInit() { MlirContext context = mlirContextCreate(); return new PyMlirContext(context); } PyMlirContextRef PyMlirContext::forContext(MlirContext context) { py::gil_scoped_acquire acquire; auto &liveContexts = getLiveContexts(); auto it = liveContexts.find(context.ptr); if (it == liveContexts.end()) { // Create. PyMlirContext *unownedContextWrapper = new PyMlirContext(context); py::object pyRef = py::cast(unownedContextWrapper); assert(pyRef && "cast to py::object failed"); liveContexts[context.ptr] = unownedContextWrapper; return PyMlirContextRef(unownedContextWrapper, std::move(pyRef)); } // Use existing. py::object pyRef = py::cast(it->second); return PyMlirContextRef(it->second, std::move(pyRef)); } PyMlirContext::LiveContextMap &PyMlirContext::getLiveContexts() { static LiveContextMap liveContexts; return liveContexts; } size_t PyMlirContext::getLiveCount() { return getLiveContexts().size(); } size_t PyMlirContext::getLiveOperationCount() { return liveOperations.size(); } //------------------------------------------------------------------------------ // PyModule //------------------------------------------------------------------------------ PyModuleRef PyModule::create(PyMlirContextRef contextRef, MlirModule module) { PyModule *unownedModule = new PyModule(std::move(contextRef), module); // Note that the default return value policy on cast is automatic_reference, // which does not take ownership (delete will not be called). // Just be explicit. py::object pyRef = py::cast(unownedModule, py::return_value_policy::take_ownership); unownedModule->handle = pyRef; return PyModuleRef(unownedModule, std::move(pyRef)); } //------------------------------------------------------------------------------ // PyOperation //------------------------------------------------------------------------------ PyOperation::PyOperation(PyMlirContextRef contextRef, MlirOperation operation) : BaseContextObject(std::move(contextRef)), operation(operation) {} PyOperation::~PyOperation() { auto &liveOperations = getContext()->liveOperations; assert(liveOperations.count(operation.ptr) == 1 && "destroying operation not in live map"); liveOperations.erase(operation.ptr); if (!isAttached()) { mlirOperationDestroy(operation); } } PyOperationRef PyOperation::createInstance(PyMlirContextRef contextRef, MlirOperation operation, py::object parentKeepAlive) { auto &liveOperations = contextRef->liveOperations; // Create. PyOperation *unownedOperation = new PyOperation(std::move(contextRef), operation); // Note that the default return value policy on cast is automatic_reference, // which does not take ownership (delete will not be called). // Just be explicit. py::object pyRef = py::cast(unownedOperation, py::return_value_policy::take_ownership); unownedOperation->handle = pyRef; if (parentKeepAlive) { unownedOperation->parentKeepAlive = std::move(parentKeepAlive); } liveOperations[operation.ptr] = std::make_pair(pyRef, unownedOperation); return PyOperationRef(unownedOperation, std::move(pyRef)); } PyOperationRef PyOperation::forOperation(PyMlirContextRef contextRef, MlirOperation operation, py::object parentKeepAlive) { auto &liveOperations = contextRef->liveOperations; auto it = liveOperations.find(operation.ptr); if (it == liveOperations.end()) { // Create. return createInstance(std::move(contextRef), operation, std::move(parentKeepAlive)); } // Use existing. PyOperation *existing = it->second.second; assert(existing->parentKeepAlive.is(parentKeepAlive)); py::object pyRef = py::reinterpret_borrow(it->second.first); return PyOperationRef(existing, std::move(pyRef)); } PyOperationRef PyOperation::createDetached(PyMlirContextRef contextRef, MlirOperation operation, py::object parentKeepAlive) { auto &liveOperations = contextRef->liveOperations; assert(liveOperations.count(operation.ptr) == 0 && "cannot create detached operation that already exists"); (void)liveOperations; PyOperationRef created = createInstance(std::move(contextRef), operation, std::move(parentKeepAlive)); created->attached = false; return created; } void PyOperation::checkValid() { if (!valid) { throw SetPyError(PyExc_RuntimeError, "the operation has been invalidated"); } } //------------------------------------------------------------------------------ // PyBlock, PyRegion. //------------------------------------------------------------------------------ void PyRegion::attachToParent() { if (!detached) { throw SetPyError(PyExc_ValueError, "Region is already attached to an op"); } detached = false; } void PyBlock::attachToParent() { if (!detached) { throw SetPyError(PyExc_ValueError, "Block is already attached to an op"); } detached = false; } //------------------------------------------------------------------------------ // PyAttribute. //------------------------------------------------------------------------------ bool PyAttribute::operator==(const PyAttribute &other) { return mlirAttributeEqual(attr, other.attr); } //------------------------------------------------------------------------------ // PyNamedAttribute. //------------------------------------------------------------------------------ PyNamedAttribute::PyNamedAttribute(MlirAttribute attr, std::string ownedName) : ownedName(new std::string(std::move(ownedName))) { namedAttr = mlirNamedAttributeGet(this->ownedName->c_str(), attr); } //------------------------------------------------------------------------------ // PyType. //------------------------------------------------------------------------------ bool PyType::operator==(const PyType &other) { return mlirTypeEqual(type, other.type); } //------------------------------------------------------------------------------ // Standard attribute subclasses. //------------------------------------------------------------------------------ namespace { /// CRTP base classes for Python attributes that subclass Attribute and should /// be castable from it (i.e. via something like StringAttr(attr)). /// By default, attribute class hierarchies are one level deep (i.e. a /// concrete attribute class extends PyAttribute); however, intermediate /// python-visible base classes can be modeled by specifying a BaseTy. template class PyConcreteAttribute : public BaseTy { public: // Derived classes must define statics for: // IsAFunctionTy isaFunction // const char *pyClassName using ClassTy = py::class_; using IsAFunctionTy = int (*)(MlirAttribute); PyConcreteAttribute() = default; PyConcreteAttribute(PyMlirContextRef contextRef, MlirAttribute attr) : BaseTy(std::move(contextRef), attr) {} PyConcreteAttribute(PyAttribute &orig) : PyConcreteAttribute(orig.getContext(), castFrom(orig)) {} static MlirAttribute castFrom(PyAttribute &orig) { if (!DerivedTy::isaFunction(orig.attr)) { auto origRepr = py::repr(py::cast(orig)).cast(); throw SetPyError(PyExc_ValueError, llvm::Twine("Cannot cast attribute to ") + DerivedTy::pyClassName + " (from " + origRepr + ")"); } return orig.attr; } static void bind(py::module &m) { auto cls = ClassTy(m, DerivedTy::pyClassName); cls.def(py::init(), py::keep_alive<0, 1>()); DerivedTy::bindDerived(cls); } /// Implemented by derived classes to add methods to the Python subclass. static void bindDerived(ClassTy &m) {} }; class PyStringAttribute : public PyConcreteAttribute { public: static constexpr IsAFunctionTy isaFunction = mlirAttributeIsAString; static constexpr const char *pyClassName = "StringAttr"; using PyConcreteAttribute::PyConcreteAttribute; static void bindDerived(ClassTy &c) { c.def_static( "get", [](PyMlirContext &context, std::string value) { MlirAttribute attr = mlirStringAttrGet(context.get(), value.size(), &value[0]); return PyStringAttribute(context.getRef(), attr); }, "Gets a uniqued string attribute"); c.def_static( "get_typed", [](PyType &type, std::string value) { MlirAttribute attr = mlirStringAttrTypedGet(type.type, value.size(), &value[0]); return PyStringAttribute(type.getContext(), attr); }, "Gets a uniqued string attribute associated to a type"); c.def_property_readonly( "value", [](PyStringAttribute &self) { MlirStringRef stringRef = mlirStringAttrGetValue(self.attr); return py::str(stringRef.data, stringRef.length); }, "Returns the value of the string attribute"); } }; } // namespace //------------------------------------------------------------------------------ // Standard type subclasses. //------------------------------------------------------------------------------ namespace { /// CRTP base classes for Python types that subclass Type and should be /// castable from it (i.e. via something like IntegerType(t)). /// By default, type class hierarchies are one level deep (i.e. a /// concrete type class extends PyType); however, intermediate python-visible /// base classes can be modeled by specifying a BaseTy. template class PyConcreteType : public BaseTy { public: // Derived classes must define statics for: // IsAFunctionTy isaFunction // const char *pyClassName using ClassTy = py::class_; using IsAFunctionTy = int (*)(MlirType); PyConcreteType() = default; PyConcreteType(PyMlirContextRef contextRef, MlirType t) : BaseTy(std::move(contextRef), t) {} PyConcreteType(PyType &orig) : PyConcreteType(orig.getContext(), castFrom(orig)) {} static MlirType castFrom(PyType &orig) { if (!DerivedTy::isaFunction(orig.type)) { auto origRepr = py::repr(py::cast(orig)).cast(); throw SetPyError(PyExc_ValueError, llvm::Twine("Cannot cast type to ") + DerivedTy::pyClassName + " (from " + origRepr + ")"); } return orig.type; } static void bind(py::module &m) { auto cls = ClassTy(m, DerivedTy::pyClassName); cls.def(py::init(), py::keep_alive<0, 1>()); DerivedTy::bindDerived(cls); } /// Implemented by derived classes to add methods to the Python subclass. static void bindDerived(ClassTy &m) {} }; class PyIntegerType : public PyConcreteType { public: static constexpr IsAFunctionTy isaFunction = mlirTypeIsAInteger; static constexpr const char *pyClassName = "IntegerType"; using PyConcreteType::PyConcreteType; static void bindDerived(ClassTy &c) { c.def_static( "get_signless", [](PyMlirContext &context, unsigned width) { MlirType t = mlirIntegerTypeGet(context.get(), width); return PyIntegerType(context.getRef(), t); }, "Create a signless integer type"); c.def_static( "get_signed", [](PyMlirContext &context, unsigned width) { MlirType t = mlirIntegerTypeSignedGet(context.get(), width); return PyIntegerType(context.getRef(), t); }, "Create a signed integer type"); c.def_static( "get_unsigned", [](PyMlirContext &context, unsigned width) { MlirType t = mlirIntegerTypeUnsignedGet(context.get(), width); return PyIntegerType(context.getRef(), t); }, "Create an unsigned integer type"); c.def_property_readonly( "width", [](PyIntegerType &self) { return mlirIntegerTypeGetWidth(self.type); }, "Returns the width of the integer type"); c.def_property_readonly( "is_signless", [](PyIntegerType &self) -> bool { return mlirIntegerTypeIsSignless(self.type); }, "Returns whether this is a signless integer"); c.def_property_readonly( "is_signed", [](PyIntegerType &self) -> bool { return mlirIntegerTypeIsSigned(self.type); }, "Returns whether this is a signed integer"); c.def_property_readonly( "is_unsigned", [](PyIntegerType &self) -> bool { return mlirIntegerTypeIsUnsigned(self.type); }, "Returns whether this is an unsigned integer"); } }; /// Index Type subclass - IndexType. class PyIndexType : public PyConcreteType { public: static constexpr IsAFunctionTy isaFunction = mlirTypeIsAIndex; static constexpr const char *pyClassName = "IndexType"; using PyConcreteType::PyConcreteType; static void bindDerived(ClassTy &c) { c.def(py::init([](PyMlirContext &context) { MlirType t = mlirIndexTypeGet(context.get()); return PyIndexType(context.getRef(), t); }), "Create a index type."); } }; /// Floating Point Type subclass - BF16Type. class PyBF16Type : public PyConcreteType { public: static constexpr IsAFunctionTy isaFunction = mlirTypeIsABF16; static constexpr const char *pyClassName = "BF16Type"; using PyConcreteType::PyConcreteType; static void bindDerived(ClassTy &c) { c.def(py::init([](PyMlirContext &context) { MlirType t = mlirBF16TypeGet(context.get()); return PyBF16Type(context.getRef(), t); }), "Create a bf16 type."); } }; /// Floating Point Type subclass - F16Type. class PyF16Type : public PyConcreteType { public: static constexpr IsAFunctionTy isaFunction = mlirTypeIsAF16; static constexpr const char *pyClassName = "F16Type"; using PyConcreteType::PyConcreteType; static void bindDerived(ClassTy &c) { c.def(py::init([](PyMlirContext &context) { MlirType t = mlirF16TypeGet(context.get()); return PyF16Type(context.getRef(), t); }), "Create a f16 type."); } }; /// Floating Point Type subclass - F32Type. class PyF32Type : public PyConcreteType { public: static constexpr IsAFunctionTy isaFunction = mlirTypeIsAF32; static constexpr const char *pyClassName = "F32Type"; using PyConcreteType::PyConcreteType; static void bindDerived(ClassTy &c) { c.def(py::init([](PyMlirContext &context) { MlirType t = mlirF32TypeGet(context.get()); return PyF32Type(context.getRef(), t); }), "Create a f32 type."); } }; /// Floating Point Type subclass - F64Type. class PyF64Type : public PyConcreteType { public: static constexpr IsAFunctionTy isaFunction = mlirTypeIsAF64; static constexpr const char *pyClassName = "F64Type"; using PyConcreteType::PyConcreteType; static void bindDerived(ClassTy &c) { c.def(py::init([](PyMlirContext &context) { MlirType t = mlirF64TypeGet(context.get()); return PyF64Type(context.getRef(), t); }), "Create a f64 type."); } }; /// None Type subclass - NoneType. class PyNoneType : public PyConcreteType { public: static constexpr IsAFunctionTy isaFunction = mlirTypeIsANone; static constexpr const char *pyClassName = "NoneType"; using PyConcreteType::PyConcreteType; static void bindDerived(ClassTy &c) { c.def(py::init([](PyMlirContext &context) { MlirType t = mlirNoneTypeGet(context.get()); return PyNoneType(context.getRef(), t); }), "Create a none type."); } }; /// Complex Type subclass - ComplexType. class PyComplexType : public PyConcreteType { public: static constexpr IsAFunctionTy isaFunction = mlirTypeIsAComplex; static constexpr const char *pyClassName = "ComplexType"; using PyConcreteType::PyConcreteType; static void bindDerived(ClassTy &c) { c.def_static( "get_complex", [](PyType &elementType) { // The element must be a floating point or integer scalar type. if (mlirTypeIsAIntegerOrFloat(elementType.type)) { MlirType t = mlirComplexTypeGet(elementType.type); return PyComplexType(elementType.getContext(), t); } throw SetPyError( PyExc_ValueError, llvm::Twine("invalid '") + py::repr(py::cast(elementType)).cast() + "' and expected floating point or integer type."); }, "Create a complex type"); c.def_property_readonly( "element_type", [](PyComplexType &self) -> PyType { MlirType t = mlirComplexTypeGetElementType(self.type); return PyType(self.getContext(), t); }, "Returns element type."); } }; class PyShapedType : public PyConcreteType { public: static constexpr IsAFunctionTy isaFunction = mlirTypeIsAShaped; static constexpr const char *pyClassName = "ShapedType"; using PyConcreteType::PyConcreteType; static void bindDerived(ClassTy &c) { c.def_property_readonly( "element_type", [](PyShapedType &self) { MlirType t = mlirShapedTypeGetElementType(self.type); return PyType(self.getContext(), t); }, "Returns the element type of the shaped type."); c.def_property_readonly( "has_rank", [](PyShapedType &self) -> bool { return mlirShapedTypeHasRank(self.type); }, "Returns whether the given shaped type is ranked."); c.def_property_readonly( "rank", [](PyShapedType &self) { self.requireHasRank(); return mlirShapedTypeGetRank(self.type); }, "Returns the rank of the given ranked shaped type."); c.def_property_readonly( "has_static_shape", [](PyShapedType &self) -> bool { return mlirShapedTypeHasStaticShape(self.type); }, "Returns whether the given shaped type has a static shape."); c.def( "is_dynamic_dim", [](PyShapedType &self, intptr_t dim) -> bool { self.requireHasRank(); return mlirShapedTypeIsDynamicDim(self.type, dim); }, "Returns whether the dim-th dimension of the given shaped type is " "dynamic."); c.def( "get_dim_size", [](PyShapedType &self, intptr_t dim) { self.requireHasRank(); return mlirShapedTypeGetDimSize(self.type, dim); }, "Returns the dim-th dimension of the given ranked shaped type."); c.def_static( "is_dynamic_size", [](int64_t size) -> bool { return mlirShapedTypeIsDynamicSize(size); }, "Returns whether the given dimension size indicates a dynamic " "dimension."); c.def( "is_dynamic_stride_or_offset", [](PyShapedType &self, int64_t val) -> bool { self.requireHasRank(); return mlirShapedTypeIsDynamicStrideOrOffset(val); }, "Returns whether the given value is used as a placeholder for dynamic " "strides and offsets in shaped types."); } private: void requireHasRank() { if (!mlirShapedTypeHasRank(type)) { throw SetPyError( PyExc_ValueError, "calling this method requires that the type has a rank."); } } }; /// Vector Type subclass - VectorType. class PyVectorType : public PyConcreteType { public: static constexpr IsAFunctionTy isaFunction = mlirTypeIsAVector; static constexpr const char *pyClassName = "VectorType"; using PyConcreteType::PyConcreteType; static void bindDerived(ClassTy &c) { c.def_static( "get_vector", // TODO: Make the location optional and create a default location. [](std::vector shape, PyType &elementType, PyLocation &loc) { MlirType t = mlirVectorTypeGetChecked(shape.size(), shape.data(), elementType.type, loc.loc); // TODO: Rework error reporting once diagnostic engine is exposed // in C API. if (mlirTypeIsNull(t)) { throw SetPyError( PyExc_ValueError, llvm::Twine("invalid '") + py::repr(py::cast(elementType)).cast() + "' and expected floating point or integer type."); } return PyVectorType(elementType.getContext(), t); }, "Create a vector type"); } }; /// Ranked Tensor Type subclass - RankedTensorType. class PyRankedTensorType : public PyConcreteType { public: static constexpr IsAFunctionTy isaFunction = mlirTypeIsARankedTensor; static constexpr const char *pyClassName = "RankedTensorType"; using PyConcreteType::PyConcreteType; static void bindDerived(ClassTy &c) { c.def_static( "get_ranked_tensor", // TODO: Make the location optional and create a default location. [](std::vector shape, PyType &elementType, PyLocation &loc) { MlirType t = mlirRankedTensorTypeGetChecked( shape.size(), shape.data(), elementType.type, loc.loc); // TODO: Rework error reporting once diagnostic engine is exposed // in C API. if (mlirTypeIsNull(t)) { throw SetPyError( PyExc_ValueError, llvm::Twine("invalid '") + py::repr(py::cast(elementType)).cast() + "' and expected floating point, integer, vector or " "complex " "type."); } return PyRankedTensorType(elementType.getContext(), t); }, "Create a ranked tensor type"); } }; /// Unranked Tensor Type subclass - UnrankedTensorType. class PyUnrankedTensorType : public PyConcreteType { public: static constexpr IsAFunctionTy isaFunction = mlirTypeIsAUnrankedTensor; static constexpr const char *pyClassName = "UnrankedTensorType"; using PyConcreteType::PyConcreteType; static void bindDerived(ClassTy &c) { c.def_static( "get_unranked_tensor", // TODO: Make the location optional and create a default location. [](PyType &elementType, PyLocation &loc) { MlirType t = mlirUnrankedTensorTypeGetChecked(elementType.type, loc.loc); // TODO: Rework error reporting once diagnostic engine is exposed // in C API. if (mlirTypeIsNull(t)) { throw SetPyError( PyExc_ValueError, llvm::Twine("invalid '") + py::repr(py::cast(elementType)).cast() + "' and expected floating point, integer, vector or " "complex " "type."); } return PyUnrankedTensorType(elementType.getContext(), t); }, "Create a unranked tensor type"); } }; /// Ranked MemRef Type subclass - MemRefType. class PyMemRefType : public PyConcreteType { public: static constexpr IsAFunctionTy isaFunction = mlirTypeIsARankedTensor; static constexpr const char *pyClassName = "MemRefType"; using PyConcreteType::PyConcreteType; static void bindDerived(ClassTy &c) { // TODO: Add mlirMemRefTypeGet and mlirMemRefTypeGetAffineMap binding // once the affine map binding is completed. c.def_static( "get_contiguous_memref", // TODO: Make the location optional and create a default location. [](PyType &elementType, std::vector shape, unsigned memorySpace, PyLocation &loc) { MlirType t = mlirMemRefTypeContiguousGetChecked( elementType.type, shape.size(), shape.data(), memorySpace, loc.loc); // TODO: Rework error reporting once diagnostic engine is exposed // in C API. if (mlirTypeIsNull(t)) { throw SetPyError( PyExc_ValueError, llvm::Twine("invalid '") + py::repr(py::cast(elementType)).cast() + "' and expected floating point, integer, vector or " "complex " "type."); } return PyMemRefType(elementType.getContext(), t); }, "Create a memref type") .def_property_readonly( "num_affine_maps", [](PyMemRefType &self) -> intptr_t { return mlirMemRefTypeGetNumAffineMaps(self.type); }, "Returns the number of affine layout maps in the given MemRef " "type.") .def_property_readonly( "memory_space", [](PyMemRefType &self) -> unsigned { return mlirMemRefTypeGetMemorySpace(self.type); }, "Returns the memory space of the given MemRef type."); } }; /// Unranked MemRef Type subclass - UnrankedMemRefType. class PyUnrankedMemRefType : public PyConcreteType { public: static constexpr IsAFunctionTy isaFunction = mlirTypeIsAUnrankedMemRef; static constexpr const char *pyClassName = "UnrankedMemRefType"; using PyConcreteType::PyConcreteType; static void bindDerived(ClassTy &c) { c.def_static( "get_unranked_memref", // TODO: Make the location optional and create a default location. [](PyType &elementType, unsigned memorySpace, PyLocation &loc) { MlirType t = mlirUnrankedMemRefTypeGetChecked(elementType.type, memorySpace, loc.loc); // TODO: Rework error reporting once diagnostic engine is exposed // in C API. if (mlirTypeIsNull(t)) { throw SetPyError( PyExc_ValueError, llvm::Twine("invalid '") + py::repr(py::cast(elementType)).cast() + "' and expected floating point, integer, vector or " "complex " "type."); } return PyUnrankedMemRefType(elementType.getContext(), t); }, "Create a unranked memref type") .def_property_readonly( "memory_space", [](PyUnrankedMemRefType &self) -> unsigned { return mlirUnrankedMemrefGetMemorySpace(self.type); }, "Returns the memory space of the given Unranked MemRef type."); } }; /// Tuple Type subclass - TupleType. class PyTupleType : public PyConcreteType { public: static constexpr IsAFunctionTy isaFunction = mlirTypeIsATuple; static constexpr const char *pyClassName = "TupleType"; using PyConcreteType::PyConcreteType; static void bindDerived(ClassTy &c) { c.def_static( "get_tuple", [](PyMlirContext &context, py::list elementList) { intptr_t num = py::len(elementList); // Mapping py::list to SmallVector. SmallVector elements; for (auto element : elementList) elements.push_back(element.cast().type); MlirType t = mlirTupleTypeGet(context.get(), num, elements.data()); return PyTupleType(context.getRef(), t); }, "Create a tuple type"); c.def( "get_type", [](PyTupleType &self, intptr_t pos) -> PyType { MlirType t = mlirTupleTypeGetType(self.type, pos); return PyType(self.getContext(), t); }, "Returns the pos-th type in the tuple type."); c.def_property_readonly( "num_types", [](PyTupleType &self) -> intptr_t { return mlirTupleTypeGetNumTypes(self.type); }, "Returns the number of types contained in a tuple."); } }; } // namespace //------------------------------------------------------------------------------ // Populates the pybind11 IR submodule. //------------------------------------------------------------------------------ void mlir::python::populateIRSubmodule(py::module &m) { // Mapping of MlirContext py::class_(m, "Context") .def(py::init<>(&PyMlirContext::createNewContextForInit)) .def_static("_get_live_count", &PyMlirContext::getLiveCount) .def("_get_context_again", [](PyMlirContext &self) { PyMlirContextRef ref = PyMlirContext::forContext(self.get()); return ref.releaseObject(); }) .def("_get_live_operation_count", &PyMlirContext::getLiveOperationCount) .def( "parse_module", [](PyMlirContext &self, const std::string moduleAsm) { MlirModule module = mlirModuleCreateParse(self.get(), moduleAsm.c_str()); // TODO: Rework error reporting once diagnostic engine is exposed // in C API. if (mlirModuleIsNull(module)) { throw SetPyError( PyExc_ValueError, "Unable to parse module assembly (see diagnostics)"); } return PyModule::create(self.getRef(), module).releaseObject(); }, kContextParseDocstring) .def( "parse_attr", [](PyMlirContext &self, std::string attrSpec) { MlirAttribute type = mlirAttributeParseGet(self.get(), attrSpec.c_str()); // TODO: Rework error reporting once diagnostic engine is exposed // in C API. if (mlirAttributeIsNull(type)) { throw SetPyError(PyExc_ValueError, llvm::Twine("Unable to parse attribute: '") + attrSpec + "'"); } return PyAttribute(self.getRef(), type); }, py::keep_alive<0, 1>()) .def( "parse_type", [](PyMlirContext &self, std::string typeSpec) { MlirType type = mlirTypeParseGet(self.get(), typeSpec.c_str()); // TODO: Rework error reporting once diagnostic engine is exposed // in C API. if (mlirTypeIsNull(type)) { throw SetPyError(PyExc_ValueError, llvm::Twine("Unable to parse type: '") + typeSpec + "'"); } return PyType(self.getRef(), type); }, kContextParseTypeDocstring) .def( "get_unknown_location", [](PyMlirContext &self) { return PyLocation(self.getRef(), mlirLocationUnknownGet(self.get())); }, kContextGetUnknownLocationDocstring) .def( "get_file_location", [](PyMlirContext &self, std::string filename, int line, int col) { return PyLocation(self.getRef(), mlirLocationFileLineColGet( self.get(), filename.c_str(), line, col)); }, kContextGetFileLocationDocstring, py::arg("filename"), py::arg("line"), py::arg("col")) .def( "create_region", [](PyMlirContext &self) { // The creating context is explicitly captured on regions to // facilitate illegal assemblies of objects from multiple contexts // that would invalidate the memory model. return PyRegion(self.get(), mlirRegionCreate(), /*detached=*/true); }, py::keep_alive<0, 1>(), kContextCreateRegionDocstring) .def( "create_block", [](PyMlirContext &self, std::vector pyTypes) { // In order for the keep_alive extend the proper lifetime, all // types must be from the same context. for (auto pyType : pyTypes) { if (!mlirContextEqual(mlirTypeGetContext(pyType.type), self.get())) { throw SetPyError( PyExc_ValueError, "All types used to construct a block must be from " "the same context as the block"); } } llvm::SmallVector types(pyTypes.begin(), pyTypes.end()); return PyBlock(self.get(), mlirBlockCreate(types.size(), &types[0]), /*detached=*/true); }, py::keep_alive<0, 1>(), kContextCreateBlockDocstring); py::class_(m, "Location").def("__repr__", [](PyLocation &self) { PyPrintAccumulator printAccum; mlirLocationPrint(self.loc, printAccum.getCallback(), printAccum.getUserData()); return printAccum.join(); }); // Mapping of Module py::class_(m, "Module") .def_property_readonly( "operation", [](PyModule &self) { return PyOperation::forOperation(self.getContext(), mlirModuleGetOperation(self.get()), self.getRef().releaseObject()) .releaseObject(); }, "Accesses the module as an operation") .def( "dump", [](PyModule &self) { mlirOperationDump(mlirModuleGetOperation(self.get())); }, kDumpDocstring) .def( "__str__", [](PyModule &self) { MlirOperation operation = mlirModuleGetOperation(self.get()); PyPrintAccumulator printAccum; mlirOperationPrint(operation, printAccum.getCallback(), printAccum.getUserData()); return printAccum.join(); }, kOperationStrDunderDocstring); // Mapping of Operation. py::class_(m, "Operation") .def_property_readonly( "first_region", [](PyOperation &self) { self.checkValid(); if (mlirOperationGetNumRegions(self.get()) == 0) { throw SetPyError(PyExc_IndexError, "Operation has no regions"); } return PyRegion(self.getContext()->get(), mlirOperationGetRegion(self.get(), 0), /*detached=*/false); }, py::keep_alive<0, 1>(), "Gets the operation's first region") .def( "__str__", [](PyOperation &self) { self.checkValid(); PyPrintAccumulator printAccum; mlirOperationPrint(self.get(), printAccum.getCallback(), printAccum.getUserData()); return printAccum.join(); }, kTypeStrDunderDocstring); // Mapping of PyRegion. py::class_(m, "Region") .def( "append_block", [](PyRegion &self, PyBlock &block) { if (!mlirContextEqual(self.context, block.context)) { throw SetPyError( PyExc_ValueError, "Block must have been created from the same context as " "this region"); } block.attachToParent(); mlirRegionAppendOwnedBlock(self.region, block.block); }, kRegionAppendBlockDocstring) .def( "insert_block", [](PyRegion &self, int pos, PyBlock &block) { if (!mlirContextEqual(self.context, block.context)) { throw SetPyError( PyExc_ValueError, "Block must have been created from the same context as " "this region"); } block.attachToParent(); // TODO: Make this return a failure and raise if out of bounds. mlirRegionInsertOwnedBlock(self.region, pos, block.block); }, kRegionInsertBlockDocstring) .def_property_readonly( "first_block", [](PyRegion &self) { MlirBlock block = mlirRegionGetFirstBlock(self.region); if (mlirBlockIsNull(block)) { throw SetPyError(PyExc_IndexError, "Region has no blocks"); } return PyBlock(self.context, block, /*detached=*/false); }, kRegionFirstBlockDocstring); // Mapping of PyBlock. py::class_(m, "Block") .def_property_readonly( "next_in_region", [](PyBlock &self) { MlirBlock block = mlirBlockGetNextInRegion(self.block); if (mlirBlockIsNull(block)) { throw SetPyError(PyExc_IndexError, "Attempt to read past last block"); } return PyBlock(self.context, block, /*detached=*/false); }, py::keep_alive<0, 1>(), kBlockNextInRegionDocstring) .def( "__str__", [](PyBlock &self) { PyPrintAccumulator printAccum; mlirBlockPrint(self.block, printAccum.getCallback(), printAccum.getUserData()); return printAccum.join(); }, kTypeStrDunderDocstring); // Mapping of Type. py::class_(m, "Attribute") .def( "get_named", [](PyAttribute &self, std::string name) { return PyNamedAttribute(self.attr, std::move(name)); }, py::keep_alive<0, 1>(), "Binds a name to the attribute") .def("__eq__", [](PyAttribute &self, py::object &other) { try { PyAttribute otherAttribute = other.cast(); return self == otherAttribute; } catch (std::exception &e) { return false; } }) .def( "dump", [](PyAttribute &self) { mlirAttributeDump(self.attr); }, kDumpDocstring) .def( "__str__", [](PyAttribute &self) { PyPrintAccumulator printAccum; mlirAttributePrint(self.attr, printAccum.getCallback(), printAccum.getUserData()); return printAccum.join(); }, kTypeStrDunderDocstring) .def("__repr__", [](PyAttribute &self) { // Generally, assembly formats are not printed for __repr__ because // this can cause exceptionally long debug output and exceptions. // However, attribute values are generally considered useful and are // printed. This may need to be re-evaluated if debug dumps end up // being excessive. PyPrintAccumulator printAccum; printAccum.parts.append("Attribute("); mlirAttributePrint(self.attr, printAccum.getCallback(), printAccum.getUserData()); printAccum.parts.append(")"); return printAccum.join(); }); py::class_(m, "NamedAttribute") .def("__repr__", [](PyNamedAttribute &self) { PyPrintAccumulator printAccum; printAccum.parts.append("NamedAttribute("); printAccum.parts.append(self.namedAttr.name); printAccum.parts.append("="); mlirAttributePrint(self.namedAttr.attribute, printAccum.getCallback(), printAccum.getUserData()); printAccum.parts.append(")"); return printAccum.join(); }) .def_property_readonly( "name", [](PyNamedAttribute &self) { return py::str(self.namedAttr.name, strlen(self.namedAttr.name)); }, "The name of the NamedAttribute binding") .def_property_readonly( "attr", [](PyNamedAttribute &self) { // TODO: When named attribute is removed/refactored, also remove // this constructor (it does an inefficient table lookup). auto contextRef = PyMlirContext::forContext( mlirAttributeGetContext(self.namedAttr.attribute)); return PyAttribute(std::move(contextRef), self.namedAttr.attribute); }, py::keep_alive<0, 1>(), "The underlying generic attribute of the NamedAttribute binding"); // Standard attribute bindings. PyStringAttribute::bind(m); // Mapping of Type. py::class_(m, "Type") .def("__eq__", [](PyType &self, py::object &other) { try { PyType otherType = other.cast(); return self == otherType; } catch (std::exception &e) { return false; } }) .def( "dump", [](PyType &self) { mlirTypeDump(self.type); }, kDumpDocstring) .def( "__str__", [](PyType &self) { PyPrintAccumulator printAccum; mlirTypePrint(self.type, printAccum.getCallback(), printAccum.getUserData()); return printAccum.join(); }, kTypeStrDunderDocstring) .def("__repr__", [](PyType &self) { // Generally, assembly formats are not printed for __repr__ because // this can cause exceptionally long debug output and exceptions. // However, types are an exception as they typically have compact // assembly forms and printing them is useful. PyPrintAccumulator printAccum; printAccum.parts.append("Type("); mlirTypePrint(self.type, printAccum.getCallback(), printAccum.getUserData()); printAccum.parts.append(")"); return printAccum.join(); }); // Standard type bindings. PyIntegerType::bind(m); PyIndexType::bind(m); PyBF16Type::bind(m); PyF16Type::bind(m); PyF32Type::bind(m); PyF64Type::bind(m); PyNoneType::bind(m); PyComplexType::bind(m); PyShapedType::bind(m); PyVectorType::bind(m); PyRankedTensorType::bind(m); PyUnrankedTensorType::bind(m); PyMemRefType::bind(m); PyUnrankedMemRefType::bind(m); PyTupleType::bind(m); }