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llvm-project/mlir/lib/Bindings/Python/IRAffine.cpp

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//===- IRAffine.cpp - Exports 'ir' module affine related bindings ---------===//
//
// 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 "IRModule.h"
#include "PybindUtils.h"
#include "mlir-c/AffineMap.h"
#include "mlir-c/Bindings/Python/Interop.h"
#include "mlir-c/IntegerSet.h"
namespace py = pybind11;
using namespace mlir;
using namespace mlir::python;
using llvm::SmallVector;
using llvm::StringRef;
using llvm::Twine;
static const char kDumpDocstring[] =
R"(Dumps a debug representation of the object to stderr.)";
/// Attempts to populate `result` with the content of `list` casted to the
/// appropriate type (Python and C types are provided as template arguments).
/// Throws errors in case of failure, using "action" to describe what the caller
/// was attempting to do.
template <typename PyType, typename CType>
static void pyListToVector(py::list list, llvm::SmallVectorImpl<CType> &result,
StringRef action) {
result.reserve(py::len(list));
for (py::handle item : list) {
try {
result.push_back(item.cast<PyType>());
} catch (py::cast_error &err) {
std::string msg = (llvm::Twine("Invalid expression when ") + action +
" (" + err.what() + ")")
.str();
throw py::cast_error(msg);
} catch (py::reference_cast_error &err) {
std::string msg = (llvm::Twine("Invalid expression (None?) when ") +
action + " (" + err.what() + ")")
.str();
throw py::cast_error(msg);
}
}
}
template <typename PermutationTy>
static bool isPermutation(std::vector<PermutationTy> permutation) {
llvm::SmallVector<bool, 8> seen(permutation.size(), false);
for (auto val : permutation) {
if (val < permutation.size()) {
if (seen[val])
return false;
seen[val] = true;
continue;
}
return false;
}
return true;
}
namespace {
/// CRTP base class for Python MLIR affine expressions that subclass AffineExpr
/// and should be castable from it. Intermediate hierarchy classes can be
/// modeled by specifying BaseTy.
template <typename DerivedTy, typename BaseTy = PyAffineExpr>
class PyConcreteAffineExpr : public BaseTy {
public:
// Derived classes must define statics for:
// IsAFunctionTy isaFunction
// const char *pyClassName
// and redefine bindDerived.
using ClassTy = py::class_<DerivedTy, BaseTy>;
using IsAFunctionTy = bool (*)(MlirAffineExpr);
PyConcreteAffineExpr() = default;
PyConcreteAffineExpr(PyMlirContextRef contextRef, MlirAffineExpr affineExpr)
: BaseTy(std::move(contextRef), affineExpr) {}
PyConcreteAffineExpr(PyAffineExpr &orig)
: PyConcreteAffineExpr(orig.getContext(), castFrom(orig)) {}
static MlirAffineExpr castFrom(PyAffineExpr &orig) {
if (!DerivedTy::isaFunction(orig)) {
auto origRepr = py::repr(py::cast(orig)).cast<std::string>();
throw SetPyError(PyExc_ValueError,
Twine("Cannot cast affine expression to ") +
DerivedTy::pyClassName + " (from " + origRepr + ")");
}
return orig;
}
static void bind(py::module &m) {
auto cls = ClassTy(m, DerivedTy::pyClassName, py::module_local());
cls.def(py::init<PyAffineExpr &>(), py::arg("expr"));
cls.def_static(
"isinstance",
[](PyAffineExpr &otherAffineExpr) -> bool {
return DerivedTy::isaFunction(otherAffineExpr);
},
py::arg("other"));
DerivedTy::bindDerived(cls);
}
/// Implemented by derived classes to add methods to the Python subclass.
static void bindDerived(ClassTy &m) {}
};
class PyAffineConstantExpr : public PyConcreteAffineExpr<PyAffineConstantExpr> {
public:
static constexpr IsAFunctionTy isaFunction = mlirAffineExprIsAConstant;
static constexpr const char *pyClassName = "AffineConstantExpr";
using PyConcreteAffineExpr::PyConcreteAffineExpr;
static PyAffineConstantExpr get(intptr_t value,
DefaultingPyMlirContext context) {
MlirAffineExpr affineExpr =
mlirAffineConstantExprGet(context->get(), static_cast<int64_t>(value));
return PyAffineConstantExpr(context->getRef(), affineExpr);
}
static void bindDerived(ClassTy &c) {
c.def_static("get", &PyAffineConstantExpr::get, py::arg("value"),
py::arg("context") = py::none());
c.def_property_readonly("value", [](PyAffineConstantExpr &self) {
return mlirAffineConstantExprGetValue(self);
});
}
};
class PyAffineDimExpr : public PyConcreteAffineExpr<PyAffineDimExpr> {
public:
static constexpr IsAFunctionTy isaFunction = mlirAffineExprIsADim;
static constexpr const char *pyClassName = "AffineDimExpr";
using PyConcreteAffineExpr::PyConcreteAffineExpr;
static PyAffineDimExpr get(intptr_t pos, DefaultingPyMlirContext context) {
MlirAffineExpr affineExpr = mlirAffineDimExprGet(context->get(), pos);
return PyAffineDimExpr(context->getRef(), affineExpr);
}
static void bindDerived(ClassTy &c) {
c.def_static("get", &PyAffineDimExpr::get, py::arg("position"),
py::arg("context") = py::none());
c.def_property_readonly("position", [](PyAffineDimExpr &self) {
return mlirAffineDimExprGetPosition(self);
});
}
};
class PyAffineSymbolExpr : public PyConcreteAffineExpr<PyAffineSymbolExpr> {
public:
static constexpr IsAFunctionTy isaFunction = mlirAffineExprIsASymbol;
static constexpr const char *pyClassName = "AffineSymbolExpr";
using PyConcreteAffineExpr::PyConcreteAffineExpr;
static PyAffineSymbolExpr get(intptr_t pos, DefaultingPyMlirContext context) {
MlirAffineExpr affineExpr = mlirAffineSymbolExprGet(context->get(), pos);
return PyAffineSymbolExpr(context->getRef(), affineExpr);
}
static void bindDerived(ClassTy &c) {
c.def_static("get", &PyAffineSymbolExpr::get, py::arg("position"),
py::arg("context") = py::none());
c.def_property_readonly("position", [](PyAffineSymbolExpr &self) {
return mlirAffineSymbolExprGetPosition(self);
});
}
};
class PyAffineBinaryExpr : public PyConcreteAffineExpr<PyAffineBinaryExpr> {
public:
static constexpr IsAFunctionTy isaFunction = mlirAffineExprIsABinary;
static constexpr const char *pyClassName = "AffineBinaryExpr";
using PyConcreteAffineExpr::PyConcreteAffineExpr;
PyAffineExpr lhs() {
MlirAffineExpr lhsExpr = mlirAffineBinaryOpExprGetLHS(get());
return PyAffineExpr(getContext(), lhsExpr);
}
PyAffineExpr rhs() {
MlirAffineExpr rhsExpr = mlirAffineBinaryOpExprGetRHS(get());
return PyAffineExpr(getContext(), rhsExpr);
}
static void bindDerived(ClassTy &c) {
c.def_property_readonly("lhs", &PyAffineBinaryExpr::lhs);
c.def_property_readonly("rhs", &PyAffineBinaryExpr::rhs);
}
};
class PyAffineAddExpr
: public PyConcreteAffineExpr<PyAffineAddExpr, PyAffineBinaryExpr> {
public:
static constexpr IsAFunctionTy isaFunction = mlirAffineExprIsAAdd;
static constexpr const char *pyClassName = "AffineAddExpr";
using PyConcreteAffineExpr::PyConcreteAffineExpr;
static PyAffineAddExpr get(PyAffineExpr lhs, PyAffineExpr rhs) {
MlirAffineExpr expr = mlirAffineAddExprGet(lhs, rhs);
return PyAffineAddExpr(lhs.getContext(), expr);
}
static PyAffineAddExpr getRHSConstant(PyAffineExpr lhs, intptr_t rhs) {
MlirAffineExpr expr = mlirAffineAddExprGet(
lhs, mlirAffineConstantExprGet(mlirAffineExprGetContext(lhs), rhs));
return PyAffineAddExpr(lhs.getContext(), expr);
}
static PyAffineAddExpr getLHSConstant(intptr_t lhs, PyAffineExpr rhs) {
MlirAffineExpr expr = mlirAffineAddExprGet(
mlirAffineConstantExprGet(mlirAffineExprGetContext(rhs), lhs), rhs);
return PyAffineAddExpr(rhs.getContext(), expr);
}
static void bindDerived(ClassTy &c) {
c.def_static("get", &PyAffineAddExpr::get);
}
};
class PyAffineMulExpr
: public PyConcreteAffineExpr<PyAffineMulExpr, PyAffineBinaryExpr> {
public:
static constexpr IsAFunctionTy isaFunction = mlirAffineExprIsAMul;
static constexpr const char *pyClassName = "AffineMulExpr";
using PyConcreteAffineExpr::PyConcreteAffineExpr;
static PyAffineMulExpr get(PyAffineExpr lhs, PyAffineExpr rhs) {
MlirAffineExpr expr = mlirAffineMulExprGet(lhs, rhs);
return PyAffineMulExpr(lhs.getContext(), expr);
}
static PyAffineMulExpr getRHSConstant(PyAffineExpr lhs, intptr_t rhs) {
MlirAffineExpr expr = mlirAffineMulExprGet(
lhs, mlirAffineConstantExprGet(mlirAffineExprGetContext(lhs), rhs));
return PyAffineMulExpr(lhs.getContext(), expr);
}
static PyAffineMulExpr getLHSConstant(intptr_t lhs, PyAffineExpr rhs) {
MlirAffineExpr expr = mlirAffineMulExprGet(
mlirAffineConstantExprGet(mlirAffineExprGetContext(rhs), lhs), rhs);
return PyAffineMulExpr(rhs.getContext(), expr);
}
static void bindDerived(ClassTy &c) {
c.def_static("get", &PyAffineMulExpr::get);
}
};
class PyAffineModExpr
: public PyConcreteAffineExpr<PyAffineModExpr, PyAffineBinaryExpr> {
public:
static constexpr IsAFunctionTy isaFunction = mlirAffineExprIsAMod;
static constexpr const char *pyClassName = "AffineModExpr";
using PyConcreteAffineExpr::PyConcreteAffineExpr;
static PyAffineModExpr get(PyAffineExpr lhs, PyAffineExpr rhs) {
MlirAffineExpr expr = mlirAffineModExprGet(lhs, rhs);
return PyAffineModExpr(lhs.getContext(), expr);
}
static PyAffineModExpr getRHSConstant(PyAffineExpr lhs, intptr_t rhs) {
MlirAffineExpr expr = mlirAffineModExprGet(
lhs, mlirAffineConstantExprGet(mlirAffineExprGetContext(lhs), rhs));
return PyAffineModExpr(lhs.getContext(), expr);
}
static PyAffineModExpr getLHSConstant(intptr_t lhs, PyAffineExpr rhs) {
MlirAffineExpr expr = mlirAffineModExprGet(
mlirAffineConstantExprGet(mlirAffineExprGetContext(rhs), lhs), rhs);
return PyAffineModExpr(rhs.getContext(), expr);
}
static void bindDerived(ClassTy &c) {
c.def_static("get", &PyAffineModExpr::get);
}
};
class PyAffineFloorDivExpr
: public PyConcreteAffineExpr<PyAffineFloorDivExpr, PyAffineBinaryExpr> {
public:
static constexpr IsAFunctionTy isaFunction = mlirAffineExprIsAFloorDiv;
static constexpr const char *pyClassName = "AffineFloorDivExpr";
using PyConcreteAffineExpr::PyConcreteAffineExpr;
static PyAffineFloorDivExpr get(PyAffineExpr lhs, PyAffineExpr rhs) {
MlirAffineExpr expr = mlirAffineFloorDivExprGet(lhs, rhs);
return PyAffineFloorDivExpr(lhs.getContext(), expr);
}
static PyAffineFloorDivExpr getRHSConstant(PyAffineExpr lhs, intptr_t rhs) {
MlirAffineExpr expr = mlirAffineFloorDivExprGet(
lhs, mlirAffineConstantExprGet(mlirAffineExprGetContext(lhs), rhs));
return PyAffineFloorDivExpr(lhs.getContext(), expr);
}
static PyAffineFloorDivExpr getLHSConstant(intptr_t lhs, PyAffineExpr rhs) {
MlirAffineExpr expr = mlirAffineFloorDivExprGet(
mlirAffineConstantExprGet(mlirAffineExprGetContext(rhs), lhs), rhs);
return PyAffineFloorDivExpr(rhs.getContext(), expr);
}
static void bindDerived(ClassTy &c) {
c.def_static("get", &PyAffineFloorDivExpr::get);
}
};
class PyAffineCeilDivExpr
: public PyConcreteAffineExpr<PyAffineCeilDivExpr, PyAffineBinaryExpr> {
public:
static constexpr IsAFunctionTy isaFunction = mlirAffineExprIsACeilDiv;
static constexpr const char *pyClassName = "AffineCeilDivExpr";
using PyConcreteAffineExpr::PyConcreteAffineExpr;
static PyAffineCeilDivExpr get(PyAffineExpr lhs, PyAffineExpr rhs) {
MlirAffineExpr expr = mlirAffineCeilDivExprGet(lhs, rhs);
return PyAffineCeilDivExpr(lhs.getContext(), expr);
}
static PyAffineCeilDivExpr getRHSConstant(PyAffineExpr lhs, intptr_t rhs) {
MlirAffineExpr expr = mlirAffineCeilDivExprGet(
lhs, mlirAffineConstantExprGet(mlirAffineExprGetContext(lhs), rhs));
return PyAffineCeilDivExpr(lhs.getContext(), expr);
}
static PyAffineCeilDivExpr getLHSConstant(intptr_t lhs, PyAffineExpr rhs) {
MlirAffineExpr expr = mlirAffineCeilDivExprGet(
mlirAffineConstantExprGet(mlirAffineExprGetContext(rhs), lhs), rhs);
return PyAffineCeilDivExpr(rhs.getContext(), expr);
}
static void bindDerived(ClassTy &c) {
c.def_static("get", &PyAffineCeilDivExpr::get);
}
};
} // namespace
bool PyAffineExpr::operator==(const PyAffineExpr &other) {
return mlirAffineExprEqual(affineExpr, other.affineExpr);
}
py::object PyAffineExpr::getCapsule() {
return py::reinterpret_steal<py::object>(
mlirPythonAffineExprToCapsule(*this));
}
PyAffineExpr PyAffineExpr::createFromCapsule(py::object capsule) {
MlirAffineExpr rawAffineExpr = mlirPythonCapsuleToAffineExpr(capsule.ptr());
if (mlirAffineExprIsNull(rawAffineExpr))
throw py::error_already_set();
return PyAffineExpr(
PyMlirContext::forContext(mlirAffineExprGetContext(rawAffineExpr)),
rawAffineExpr);
}
//------------------------------------------------------------------------------
// PyAffineMap and utilities.
//------------------------------------------------------------------------------
namespace {
/// A list of expressions contained in an affine map. Internally these are
/// stored as a consecutive array leading to inexpensive random access. Both
/// the map and the expression are owned by the context so we need not bother
/// with lifetime extension.
class PyAffineMapExprList
: public Sliceable<PyAffineMapExprList, PyAffineExpr> {
public:
static constexpr const char *pyClassName = "AffineExprList";
PyAffineMapExprList(PyAffineMap map, intptr_t startIndex = 0,
intptr_t length = -1, intptr_t step = 1)
: Sliceable(startIndex,
length == -1 ? mlirAffineMapGetNumResults(map) : length,
step),
affineMap(map) {}
intptr_t getNumElements() { return mlirAffineMapGetNumResults(affineMap); }
PyAffineExpr getElement(intptr_t pos) {
return PyAffineExpr(affineMap.getContext(),
mlirAffineMapGetResult(affineMap, pos));
}
PyAffineMapExprList slice(intptr_t startIndex, intptr_t length,
intptr_t step) {
return PyAffineMapExprList(affineMap, startIndex, length, step);
}
private:
PyAffineMap affineMap;
};
} // namespace
bool PyAffineMap::operator==(const PyAffineMap &other) {
return mlirAffineMapEqual(affineMap, other.affineMap);
}
py::object PyAffineMap::getCapsule() {
return py::reinterpret_steal<py::object>(mlirPythonAffineMapToCapsule(*this));
}
PyAffineMap PyAffineMap::createFromCapsule(py::object capsule) {
MlirAffineMap rawAffineMap = mlirPythonCapsuleToAffineMap(capsule.ptr());
if (mlirAffineMapIsNull(rawAffineMap))
throw py::error_already_set();
return PyAffineMap(
PyMlirContext::forContext(mlirAffineMapGetContext(rawAffineMap)),
rawAffineMap);
}
//------------------------------------------------------------------------------
// PyIntegerSet and utilities.
//------------------------------------------------------------------------------
namespace {
class PyIntegerSetConstraint {
public:
PyIntegerSetConstraint(PyIntegerSet set, intptr_t pos) : set(set), pos(pos) {}
PyAffineExpr getExpr() {
return PyAffineExpr(set.getContext(),
mlirIntegerSetGetConstraint(set, pos));
}
bool isEq() { return mlirIntegerSetIsConstraintEq(set, pos); }
static void bind(py::module &m) {
py::class_<PyIntegerSetConstraint>(m, "IntegerSetConstraint",
py::module_local())
.def_property_readonly("expr", &PyIntegerSetConstraint::getExpr)
.def_property_readonly("is_eq", &PyIntegerSetConstraint::isEq);
}
private:
PyIntegerSet set;
intptr_t pos;
};
class PyIntegerSetConstraintList
: public Sliceable<PyIntegerSetConstraintList, PyIntegerSetConstraint> {
public:
static constexpr const char *pyClassName = "IntegerSetConstraintList";
PyIntegerSetConstraintList(PyIntegerSet set, intptr_t startIndex = 0,
intptr_t length = -1, intptr_t step = 1)
: Sliceable(startIndex,
length == -1 ? mlirIntegerSetGetNumConstraints(set) : length,
step),
set(set) {}
intptr_t getNumElements() { return mlirIntegerSetGetNumConstraints(set); }
PyIntegerSetConstraint getElement(intptr_t pos) {
return PyIntegerSetConstraint(set, pos);
}
PyIntegerSetConstraintList slice(intptr_t startIndex, intptr_t length,
intptr_t step) {
return PyIntegerSetConstraintList(set, startIndex, length, step);
}
private:
PyIntegerSet set;
};
} // namespace
bool PyIntegerSet::operator==(const PyIntegerSet &other) {
return mlirIntegerSetEqual(integerSet, other.integerSet);
}
py::object PyIntegerSet::getCapsule() {
return py::reinterpret_steal<py::object>(
mlirPythonIntegerSetToCapsule(*this));
}
PyIntegerSet PyIntegerSet::createFromCapsule(py::object capsule) {
MlirIntegerSet rawIntegerSet = mlirPythonCapsuleToIntegerSet(capsule.ptr());
if (mlirIntegerSetIsNull(rawIntegerSet))
throw py::error_already_set();
return PyIntegerSet(
PyMlirContext::forContext(mlirIntegerSetGetContext(rawIntegerSet)),
rawIntegerSet);
}
void mlir::python::populateIRAffine(py::module &m) {
//----------------------------------------------------------------------------
// Mapping of PyAffineExpr and derived classes.
//----------------------------------------------------------------------------
py::class_<PyAffineExpr>(m, "AffineExpr", py::module_local())
.def_property_readonly(MLIR_PYTHON_CAPI_PTR_ATTR,
&PyAffineExpr::getCapsule)
.def(MLIR_PYTHON_CAPI_FACTORY_ATTR, &PyAffineExpr::createFromCapsule)
.def("__add__", &PyAffineAddExpr::get)
.def("__add__", &PyAffineAddExpr::getRHSConstant)
.def("__radd__", &PyAffineAddExpr::getRHSConstant)
.def("__mul__", &PyAffineMulExpr::get)
.def("__mul__", &PyAffineMulExpr::getRHSConstant)
.def("__rmul__", &PyAffineMulExpr::getRHSConstant)
.def("__mod__", &PyAffineModExpr::get)
.def("__mod__", &PyAffineModExpr::getRHSConstant)
.def("__rmod__",
[](PyAffineExpr &self, intptr_t other) {
return PyAffineModExpr::get(
PyAffineConstantExpr::get(other, *self.getContext().get()),
self);
})
.def("__sub__",
[](PyAffineExpr &self, PyAffineExpr &other) {
auto negOne =
PyAffineConstantExpr::get(-1, *self.getContext().get());
return PyAffineAddExpr::get(self,
PyAffineMulExpr::get(negOne, other));
})
.def("__sub__",
[](PyAffineExpr &self, intptr_t other) {
return PyAffineAddExpr::get(
self,
PyAffineConstantExpr::get(-other, *self.getContext().get()));
})
.def("__rsub__",
[](PyAffineExpr &self, intptr_t other) {
return PyAffineAddExpr::getLHSConstant(
other, PyAffineMulExpr::getLHSConstant(-1, self));
})
.def("__eq__", [](PyAffineExpr &self,
PyAffineExpr &other) { return self == other; })
.def("__eq__",
[](PyAffineExpr &self, py::object &other) { return false; })
.def("__str__",
[](PyAffineExpr &self) {
PyPrintAccumulator printAccum;
mlirAffineExprPrint(self, printAccum.getCallback(),
printAccum.getUserData());
return printAccum.join();
})
.def("__repr__",
[](PyAffineExpr &self) {
PyPrintAccumulator printAccum;
printAccum.parts.append("AffineExpr(");
mlirAffineExprPrint(self, printAccum.getCallback(),
printAccum.getUserData());
printAccum.parts.append(")");
return printAccum.join();
})
.def("__hash__",
[](PyAffineExpr &self) {
return static_cast<size_t>(llvm::hash_value(self.get().ptr));
})
.def_property_readonly(
"context",
[](PyAffineExpr &self) { return self.getContext().getObject(); })
.def("compose",
[](PyAffineExpr &self, PyAffineMap &other) {
return PyAffineExpr(self.getContext(),
mlirAffineExprCompose(self, other));
})
.def_static(
"get_add", &PyAffineAddExpr::get,
"Gets an affine expression containing a sum of two expressions.")
.def_static("get_add", &PyAffineAddExpr::getLHSConstant,
"Gets an affine expression containing a sum of a constant "
"and another expression.")
.def_static("get_add", &PyAffineAddExpr::getRHSConstant,
"Gets an affine expression containing a sum of an expression "
"and a constant.")
.def_static(
"get_mul", &PyAffineMulExpr::get,
"Gets an affine expression containing a product of two expressions.")
.def_static("get_mul", &PyAffineMulExpr::getLHSConstant,
"Gets an affine expression containing a product of a "
"constant and another expression.")
.def_static("get_mul", &PyAffineMulExpr::getRHSConstant,
"Gets an affine expression containing a product of an "
"expression and a constant.")
.def_static("get_mod", &PyAffineModExpr::get,
"Gets an affine expression containing the modulo of dividing "
"one expression by another.")
.def_static("get_mod", &PyAffineModExpr::getLHSConstant,
"Gets a semi-affine expression containing the modulo of "
"dividing a constant by an expression.")
.def_static("get_mod", &PyAffineModExpr::getRHSConstant,
"Gets an affine expression containing the module of dividing"
"an expression by a constant.")
.def_static("get_floor_div", &PyAffineFloorDivExpr::get,
"Gets an affine expression containing the rounded-down "
"result of dividing one expression by another.")
.def_static("get_floor_div", &PyAffineFloorDivExpr::getLHSConstant,
"Gets a semi-affine expression containing the rounded-down "
"result of dividing a constant by an expression.")
.def_static("get_floor_div", &PyAffineFloorDivExpr::getRHSConstant,
"Gets an affine expression containing the rounded-down "
"result of dividing an expression by a constant.")
.def_static("get_ceil_div", &PyAffineCeilDivExpr::get,
"Gets an affine expression containing the rounded-up result "
"of dividing one expression by another.")
.def_static("get_ceil_div", &PyAffineCeilDivExpr::getLHSConstant,
"Gets a semi-affine expression containing the rounded-up "
"result of dividing a constant by an expression.")
.def_static("get_ceil_div", &PyAffineCeilDivExpr::getRHSConstant,
"Gets an affine expression containing the rounded-up result "
"of dividing an expression by a constant.")
.def_static("get_constant", &PyAffineConstantExpr::get, py::arg("value"),
py::arg("context") = py::none(),
"Gets a constant affine expression with the given value.")
.def_static(
"get_dim", &PyAffineDimExpr::get, py::arg("position"),
py::arg("context") = py::none(),
"Gets an affine expression of a dimension at the given position.")
.def_static(
"get_symbol", &PyAffineSymbolExpr::get, py::arg("position"),
py::arg("context") = py::none(),
"Gets an affine expression of a symbol at the given position.")
.def(
"dump", [](PyAffineExpr &self) { mlirAffineExprDump(self); },
kDumpDocstring);
PyAffineConstantExpr::bind(m);
PyAffineDimExpr::bind(m);
PyAffineSymbolExpr::bind(m);
PyAffineBinaryExpr::bind(m);
PyAffineAddExpr::bind(m);
PyAffineMulExpr::bind(m);
PyAffineModExpr::bind(m);
PyAffineFloorDivExpr::bind(m);
PyAffineCeilDivExpr::bind(m);
//----------------------------------------------------------------------------
// Mapping of PyAffineMap.
//----------------------------------------------------------------------------
py::class_<PyAffineMap>(m, "AffineMap", py::module_local())
.def_property_readonly(MLIR_PYTHON_CAPI_PTR_ATTR,
&PyAffineMap::getCapsule)
.def(MLIR_PYTHON_CAPI_FACTORY_ATTR, &PyAffineMap::createFromCapsule)
.def("__eq__",
[](PyAffineMap &self, PyAffineMap &other) { return self == other; })
.def("__eq__", [](PyAffineMap &self, py::object &other) { return false; })
.def("__str__",
[](PyAffineMap &self) {
PyPrintAccumulator printAccum;
mlirAffineMapPrint(self, printAccum.getCallback(),
printAccum.getUserData());
return printAccum.join();
})
.def("__repr__",
[](PyAffineMap &self) {
PyPrintAccumulator printAccum;
printAccum.parts.append("AffineMap(");
mlirAffineMapPrint(self, printAccum.getCallback(),
printAccum.getUserData());
printAccum.parts.append(")");
return printAccum.join();
})
.def("__hash__",
[](PyAffineMap &self) {
return static_cast<size_t>(llvm::hash_value(self.get().ptr));
})
.def_static("compress_unused_symbols",
[](py::list affineMaps, DefaultingPyMlirContext context) {
SmallVector<MlirAffineMap> maps;
pyListToVector<PyAffineMap, MlirAffineMap>(
affineMaps, maps, "attempting to create an AffineMap");
std::vector<MlirAffineMap> compressed(affineMaps.size());
auto populate = [](void *result, intptr_t idx,
MlirAffineMap m) {
static_cast<MlirAffineMap *>(result)[idx] = (m);
};
mlirAffineMapCompressUnusedSymbols(
maps.data(), maps.size(), compressed.data(), populate);
std::vector<PyAffineMap> res;
res.reserve(compressed.size());
for (auto m : compressed)
res.push_back(PyAffineMap(context->getRef(), m));
return res;
})
.def_property_readonly(
"context",
[](PyAffineMap &self) { return self.getContext().getObject(); },
"Context that owns the Affine Map")
.def(
"dump", [](PyAffineMap &self) { mlirAffineMapDump(self); },
kDumpDocstring)
.def_static(
"get",
[](intptr_t dimCount, intptr_t symbolCount, py::list exprs,
DefaultingPyMlirContext context) {
SmallVector<MlirAffineExpr> affineExprs;
pyListToVector<PyAffineExpr, MlirAffineExpr>(
exprs, affineExprs, "attempting to create an AffineMap");
MlirAffineMap map =
mlirAffineMapGet(context->get(), dimCount, symbolCount,
affineExprs.size(), affineExprs.data());
return PyAffineMap(context->getRef(), map);
},
py::arg("dim_count"), py::arg("symbol_count"), py::arg("exprs"),
py::arg("context") = py::none(),
"Gets a map with the given expressions as results.")
.def_static(
"get_constant",
[](intptr_t value, DefaultingPyMlirContext context) {
MlirAffineMap affineMap =
mlirAffineMapConstantGet(context->get(), value);
return PyAffineMap(context->getRef(), affineMap);
},
py::arg("value"), py::arg("context") = py::none(),
"Gets an affine map with a single constant result")
.def_static(
"get_empty",
[](DefaultingPyMlirContext context) {
MlirAffineMap affineMap = mlirAffineMapEmptyGet(context->get());
return PyAffineMap(context->getRef(), affineMap);
},
py::arg("context") = py::none(), "Gets an empty affine map.")
.def_static(
"get_identity",
[](intptr_t nDims, DefaultingPyMlirContext context) {
MlirAffineMap affineMap =
mlirAffineMapMultiDimIdentityGet(context->get(), nDims);
return PyAffineMap(context->getRef(), affineMap);
},
py::arg("n_dims"), py::arg("context") = py::none(),
"Gets an identity map with the given number of dimensions.")
.def_static(
"get_minor_identity",
[](intptr_t nDims, intptr_t nResults,
DefaultingPyMlirContext context) {
MlirAffineMap affineMap =
mlirAffineMapMinorIdentityGet(context->get(), nDims, nResults);
return PyAffineMap(context->getRef(), affineMap);
},
py::arg("n_dims"), py::arg("n_results"),
py::arg("context") = py::none(),
"Gets a minor identity map with the given number of dimensions and "
"results.")
.def_static(
"get_permutation",
[](std::vector<unsigned> permutation,
DefaultingPyMlirContext context) {
if (!isPermutation(permutation))
throw py::cast_error("Invalid permutation when attempting to "
"create an AffineMap");
MlirAffineMap affineMap = mlirAffineMapPermutationGet(
context->get(), permutation.size(), permutation.data());
return PyAffineMap(context->getRef(), affineMap);
},
py::arg("permutation"), py::arg("context") = py::none(),
"Gets an affine map that permutes its inputs.")
.def(
"get_submap",
[](PyAffineMap &self, std::vector<intptr_t> &resultPos) {
intptr_t numResults = mlirAffineMapGetNumResults(self);
for (intptr_t pos : resultPos) {
if (pos < 0 || pos >= numResults)
throw py::value_error("result position out of bounds");
}
MlirAffineMap affineMap = mlirAffineMapGetSubMap(
self, resultPos.size(), resultPos.data());
return PyAffineMap(self.getContext(), affineMap);
},
py::arg("result_positions"))
.def(
"get_major_submap",
[](PyAffineMap &self, intptr_t nResults) {
if (nResults >= mlirAffineMapGetNumResults(self))
throw py::value_error("number of results out of bounds");
MlirAffineMap affineMap =
mlirAffineMapGetMajorSubMap(self, nResults);
return PyAffineMap(self.getContext(), affineMap);
},
py::arg("n_results"))
.def(
"get_minor_submap",
[](PyAffineMap &self, intptr_t nResults) {
if (nResults >= mlirAffineMapGetNumResults(self))
throw py::value_error("number of results out of bounds");
MlirAffineMap affineMap =
mlirAffineMapGetMinorSubMap(self, nResults);
return PyAffineMap(self.getContext(), affineMap);
},
py::arg("n_results"))
.def(
"replace",
[](PyAffineMap &self, PyAffineExpr &expression,
PyAffineExpr &replacement, intptr_t numResultDims,
intptr_t numResultSyms) {
MlirAffineMap affineMap = mlirAffineMapReplace(
self, expression, replacement, numResultDims, numResultSyms);
return PyAffineMap(self.getContext(), affineMap);
},
py::arg("expr"), py::arg("replacement"), py::arg("n_result_dims"),
py::arg("n_result_syms"))
.def_property_readonly(
"is_permutation",
[](PyAffineMap &self) { return mlirAffineMapIsPermutation(self); })
.def_property_readonly("is_projected_permutation",
[](PyAffineMap &self) {
return mlirAffineMapIsProjectedPermutation(self);
})
.def_property_readonly(
"n_dims",
[](PyAffineMap &self) { return mlirAffineMapGetNumDims(self); })
.def_property_readonly(
"n_inputs",
[](PyAffineMap &self) { return mlirAffineMapGetNumInputs(self); })
.def_property_readonly(
"n_symbols",
[](PyAffineMap &self) { return mlirAffineMapGetNumSymbols(self); })
.def_property_readonly("results", [](PyAffineMap &self) {
return PyAffineMapExprList(self);
});
PyAffineMapExprList::bind(m);
//----------------------------------------------------------------------------
// Mapping of PyIntegerSet.
//----------------------------------------------------------------------------
py::class_<PyIntegerSet>(m, "IntegerSet", py::module_local())
.def_property_readonly(MLIR_PYTHON_CAPI_PTR_ATTR,
&PyIntegerSet::getCapsule)
.def(MLIR_PYTHON_CAPI_FACTORY_ATTR, &PyIntegerSet::createFromCapsule)
.def("__eq__", [](PyIntegerSet &self,
PyIntegerSet &other) { return self == other; })
.def("__eq__", [](PyIntegerSet &self, py::object other) { return false; })
.def("__str__",
[](PyIntegerSet &self) {
PyPrintAccumulator printAccum;
mlirIntegerSetPrint(self, printAccum.getCallback(),
printAccum.getUserData());
return printAccum.join();
})
.def("__repr__",
[](PyIntegerSet &self) {
PyPrintAccumulator printAccum;
printAccum.parts.append("IntegerSet(");
mlirIntegerSetPrint(self, printAccum.getCallback(),
printAccum.getUserData());
printAccum.parts.append(")");
return printAccum.join();
})
.def("__hash__",
[](PyIntegerSet &self) {
return static_cast<size_t>(llvm::hash_value(self.get().ptr));
})
.def_property_readonly(
"context",
[](PyIntegerSet &self) { return self.getContext().getObject(); })
.def(
"dump", [](PyIntegerSet &self) { mlirIntegerSetDump(self); },
kDumpDocstring)
.def_static(
"get",
[](intptr_t numDims, intptr_t numSymbols, py::list exprs,
std::vector<bool> eqFlags, DefaultingPyMlirContext context) {
if (exprs.size() != eqFlags.size())
throw py::value_error(
"Expected the number of constraints to match "
"that of equality flags");
if (exprs.empty())
throw py::value_error("Expected non-empty list of constraints");
// Copy over to a SmallVector because std::vector has a
// specialization for booleans that packs data and does not
// expose a `bool *`.
SmallVector<bool, 8> flags(eqFlags.begin(), eqFlags.end());
SmallVector<MlirAffineExpr> affineExprs;
pyListToVector<PyAffineExpr>(exprs, affineExprs,
"attempting to create an IntegerSet");
MlirIntegerSet set = mlirIntegerSetGet(
context->get(), numDims, numSymbols, exprs.size(),
affineExprs.data(), flags.data());
return PyIntegerSet(context->getRef(), set);
},
py::arg("num_dims"), py::arg("num_symbols"), py::arg("exprs"),
py::arg("eq_flags"), py::arg("context") = py::none())
.def_static(
"get_empty",
[](intptr_t numDims, intptr_t numSymbols,
DefaultingPyMlirContext context) {
MlirIntegerSet set =
mlirIntegerSetEmptyGet(context->get(), numDims, numSymbols);
return PyIntegerSet(context->getRef(), set);
},
py::arg("num_dims"), py::arg("num_symbols"),
py::arg("context") = py::none())
.def(
"get_replaced",
[](PyIntegerSet &self, py::list dimExprs, py::list symbolExprs,
intptr_t numResultDims, intptr_t numResultSymbols) {
if (static_cast<intptr_t>(dimExprs.size()) !=
mlirIntegerSetGetNumDims(self))
throw py::value_error(
"Expected the number of dimension replacement expressions "
"to match that of dimensions");
if (static_cast<intptr_t>(symbolExprs.size()) !=
mlirIntegerSetGetNumSymbols(self))
throw py::value_error(
"Expected the number of symbol replacement expressions "
"to match that of symbols");
SmallVector<MlirAffineExpr> dimAffineExprs, symbolAffineExprs;
pyListToVector<PyAffineExpr>(
dimExprs, dimAffineExprs,
"attempting to create an IntegerSet by replacing dimensions");
pyListToVector<PyAffineExpr>(
symbolExprs, symbolAffineExprs,
"attempting to create an IntegerSet by replacing symbols");
MlirIntegerSet set = mlirIntegerSetReplaceGet(
self, dimAffineExprs.data(), symbolAffineExprs.data(),
numResultDims, numResultSymbols);
return PyIntegerSet(self.getContext(), set);
},
py::arg("dim_exprs"), py::arg("symbol_exprs"),
py::arg("num_result_dims"), py::arg("num_result_symbols"))
.def_property_readonly("is_canonical_empty",
[](PyIntegerSet &self) {
return mlirIntegerSetIsCanonicalEmpty(self);
})
.def_property_readonly(
"n_dims",
[](PyIntegerSet &self) { return mlirIntegerSetGetNumDims(self); })
.def_property_readonly(
"n_symbols",
[](PyIntegerSet &self) { return mlirIntegerSetGetNumSymbols(self); })
.def_property_readonly(
"n_inputs",
[](PyIntegerSet &self) { return mlirIntegerSetGetNumInputs(self); })
.def_property_readonly("n_equalities",
[](PyIntegerSet &self) {
return mlirIntegerSetGetNumEqualities(self);
})
.def_property_readonly("n_inequalities",
[](PyIntegerSet &self) {
return mlirIntegerSetGetNumInequalities(self);
})
.def_property_readonly("constraints", [](PyIntegerSet &self) {
return PyIntegerSetConstraintList(self);
});
PyIntegerSetConstraint::bind(m);
PyIntegerSetConstraintList::bind(m);
}
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