mirror of https://github.com/llvm/torch-mlir
117 lines
5.3 KiB
C++
117 lines
5.3 KiB
C++
//===- NpcompDialect.cpp - Custom dialect classes -------------------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#include "MlirIr.h"
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#include "NpcompModule.h"
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#include "npcomp/Dialect/Basicpy/IR/BasicpyDialect.h"
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#include "npcomp/Dialect/Basicpy/IR/BasicpyOps.h"
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namespace mlir {
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namespace NPCOMP {
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class BasicpyDialectHelper : public PyDialectHelper {
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public:
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using PyDialectHelper::PyDialectHelper;
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static void bind(py::module m) {
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py::class_<BasicpyDialectHelper, PyDialectHelper>(m, "BasicpyDialectHelper")
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.def(py::init<PyContext &, PyOpBuilder &>(), py::keep_alive<1, 2>(),
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py::keep_alive<1, 3>())
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.def_property_readonly("basicpy_BoolType",
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[](BasicpyDialectHelper &self) -> PyType {
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return Basicpy::BoolType::get(
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self.getContext());
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})
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.def_property_readonly("basicpy_BytesType",
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[](BasicpyDialectHelper &self) -> PyType {
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return Basicpy::BytesType::get(
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self.getContext());
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})
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.def_property_readonly("basicpy_EllipsisType",
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[](BasicpyDialectHelper &self) -> PyType {
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return Basicpy::EllipsisType::get(
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self.getContext());
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})
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.def_property_readonly("basicpy_NoneType",
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[](BasicpyDialectHelper &self) -> PyType {
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return Basicpy::NoneType::get(
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self.getContext());
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})
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.def("basicpy_SlotObject_type",
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[](BasicpyDialectHelper &self, std::string className,
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py::args pySlotTypes) -> PyType {
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SmallVector<Type, 4> slotTypes;
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for (auto pySlotType : pySlotTypes) {
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slotTypes.push_back(pySlotType.cast<PyType>());
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}
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auto classNameAttr =
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StringAttr::get(className, self.getContext());
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return Basicpy::SlotObjectType::get(classNameAttr, slotTypes);
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},
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py::arg("className"))
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.def_property_readonly("basicpy_StrType",
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[](BasicpyDialectHelper &self) -> PyType {
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return Basicpy::StrType::get(
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self.getContext());
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})
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.def_property_readonly("basicpy_UnknownType",
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[](BasicpyDialectHelper &self) -> PyType {
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return Basicpy::UnknownType::get(
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self.getContext());
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})
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.def("basicpy_exec_op",
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[](BasicpyDialectHelper &self) {
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OpBuilder &opBuilder = self.pyOpBuilder.getBuilder(true);
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Location loc = self.pyOpBuilder.getCurrentLoc();
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auto op = opBuilder.create<Basicpy::ExecOp>(loc);
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return py::make_tuple(PyOperationRef(op),
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op.getBodyBuilder().saveInsertionPoint());
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})
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.def("basicpy_exec_discard_op",
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[](BasicpyDialectHelper &self, std::vector<PyValue> pyOperands) {
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OpBuilder &opBuilder = self.pyOpBuilder.getBuilder(true);
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Location loc = self.pyOpBuilder.getCurrentLoc();
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llvm::SmallVector<Value, 4> operands(pyOperands.begin(),
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pyOperands.end());
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auto op =
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opBuilder.create<Basicpy::ExecDiscardOp>(loc, operands);
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return PyOperationRef(op);
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})
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.def("basicpy_slot_object_get_op",
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[](BasicpyDialectHelper &self, PyValue slotObject,
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unsigned index) -> PyOperationRef {
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auto slotObjectType = slotObject.value.getType()
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.dyn_cast<Basicpy::SlotObjectType>();
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if (!slotObjectType) {
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throw py::raiseValueError("Operand must be a SlotObject");
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}
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if (index >= slotObjectType.getSlotCount()) {
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throw py::raiseValueError("Out of range slot index");
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}
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auto resultType = slotObjectType.getSlotTypes()[index];
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auto indexAttr =
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IntegerAttr::get(IndexType::get(self.getContext()), index);
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OpBuilder &opBuilder = self.pyOpBuilder.getBuilder(true);
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Location loc = self.pyOpBuilder.getCurrentLoc();
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auto op = opBuilder.create<Basicpy::SlotObjectGetOp>(
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loc, resultType, slotObject, indexAttr);
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return op.getOperation();
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});
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}
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};
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} // namespace NPCOMP
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} // namespace mlir
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using namespace ::mlir::NPCOMP;
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void mlir::npcomp::python::defineNpcompDialect(py::module m) {
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BasicpyDialectHelper::bind(m);
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}
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