max bfb1ba7526 [MLIR][python bindings] Add TypeCaster for returning refined types from python APIs
depends on D150839

This diff uses `MlirTypeID` to register `TypeCaster`s (i.e., `[](PyType pyType) -> DerivedTy { return pyType; }`) for all concrete types (i.e., `PyConcrete<...>`) that are then queried for (by `MlirTypeID`) and called in `struct type_caster<MlirType>::cast`. The result is that anywhere an `MlirType mlirType` is returned from a python binding, that `mlirType` is automatically cast to the correct concrete type. For example:

```
      c0 = arith.ConstantOp(f32, 0.0)
      # CHECK: F32Type(f32)
      print(repr(c0.result.type))

      unranked_tensor_type = UnrankedTensorType.get(f32)
      unranked_tensor = tensor.FromElementsOp(unranked_tensor_type, [c0]).result

      # CHECK: UnrankedTensorType
      print(type(unranked_tensor.type).__name__)
      # CHECK: UnrankedTensorType(tensor<*xf32>)
      print(repr(unranked_tensor.type))
```

This functionality immediately extends to typed attributes (i.e., `attr.type`).

The diff also implements similar functionality for `mlir_type_subclass`es but in a slightly different way - for such types (which have no cpp corresponding `class` or `struct`) the user must provide a type caster in python (similar to how `AttrBuilder` works) or in cpp as a `py::cpp_function`.

Reviewed By: ftynse

Differential Revision: https://reviews.llvm.org/D150927
2023-05-26 11:02:05 -05:00

212 lines
7.0 KiB
C++

//===- IRModule.cpp - IR 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 "IRModule.h"
#include "Globals.h"
#include "PybindUtils.h"
#include <optional>
#include <vector>
#include "mlir-c/Bindings/Python/Interop.h"
#include "mlir-c/Support.h"
namespace py = pybind11;
using namespace mlir;
using namespace mlir::python;
// -----------------------------------------------------------------------------
// PyGlobals
// -----------------------------------------------------------------------------
PyGlobals *PyGlobals::instance = nullptr;
PyGlobals::PyGlobals() {
assert(!instance && "PyGlobals already constructed");
instance = this;
// The default search path include {mlir.}dialects, where {mlir.} is the
// package prefix configured at compile time.
dialectSearchPrefixes.emplace_back(MAKE_MLIR_PYTHON_QUALNAME("dialects"));
}
PyGlobals::~PyGlobals() { instance = nullptr; }
void PyGlobals::loadDialectModule(llvm::StringRef dialectNamespace) {
if (loadedDialectModulesCache.contains(dialectNamespace))
return;
// Since re-entrancy is possible, make a copy of the search prefixes.
std::vector<std::string> localSearchPrefixes = dialectSearchPrefixes;
py::object loaded;
for (std::string moduleName : localSearchPrefixes) {
moduleName.push_back('.');
moduleName.append(dialectNamespace.data(), dialectNamespace.size());
try {
loaded = py::module::import(moduleName.c_str());
} catch (py::error_already_set &e) {
if (e.matches(PyExc_ModuleNotFoundError)) {
continue;
}
throw;
}
break;
}
// Note: Iterator cannot be shared from prior to loading, since re-entrancy
// may have occurred, which may do anything.
loadedDialectModulesCache.insert(dialectNamespace);
}
void PyGlobals::registerAttributeBuilder(const std::string &attributeKind,
py::function pyFunc) {
py::object &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::registerTypeCaster(MlirTypeID mlirTypeID,
pybind11::function typeCaster,
bool replace) {
pybind11::object &found = typeCasterMap[mlirTypeID];
if (found && !found.is_none() && !replace)
throw std::runtime_error("Type caster is already registered");
found = std::move(typeCaster);
}
void PyGlobals::registerDialectImpl(const std::string &dialectNamespace,
py::object pyClass) {
py::object &found = dialectClassMap[dialectNamespace];
if (found) {
throw std::runtime_error((llvm::Twine("Dialect namespace '") +
dialectNamespace + "' is already registered.")
.str());
}
found = std::move(pyClass);
}
void PyGlobals::registerOperationImpl(const std::string &operationName,
py::object pyClass) {
py::object &found = operationClassMap[operationName];
if (found) {
throw std::runtime_error((llvm::Twine("Operation '") + operationName +
"' is already registered.")
.str());
}
found = std::move(pyClass);
}
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;
}
std::optional<py::function> PyGlobals::lookupTypeCaster(MlirTypeID mlirTypeID,
MlirDialect dialect) {
{
// Fast match against the class map first (common case).
const auto foundIt = typeCasterMapCache.find(mlirTypeID);
if (foundIt != typeCasterMapCache.end()) {
if (foundIt->second.is_none())
return std::nullopt;
assert(foundIt->second && "py::function is defined");
return foundIt->second;
}
}
// Not found. Load the dialect namespace.
loadDialectModule(unwrap(mlirDialectGetNamespace(dialect)));
// Attempt to find from the canonical map and cache.
{
const auto foundIt = typeCasterMap.find(mlirTypeID);
if (foundIt != typeCasterMap.end()) {
if (foundIt->second.is_none())
return std::nullopt;
assert(foundIt->second && "py::object is defined");
// Positive cache.
typeCasterMapCache[mlirTypeID] = foundIt->second;
return foundIt->second;
}
// Negative cache.
typeCasterMap[mlirTypeID] = py::none();
return std::nullopt;
}
}
std::optional<py::object>
PyGlobals::lookupDialectClass(const std::string &dialectNamespace) {
loadDialectModule(dialectNamespace);
// Fast match against the class map first (common case).
const auto foundIt = dialectClassMap.find(dialectNamespace);
if (foundIt != dialectClassMap.end()) {
if (foundIt->second.is_none())
return std::nullopt;
assert(foundIt->second && "py::object is defined");
return foundIt->second;
}
// Not found and loading did not yield a registration. Negative cache.
dialectClassMap[dialectNamespace] = py::none();
return std::nullopt;
}
std::optional<pybind11::object>
PyGlobals::lookupOperationClass(llvm::StringRef operationName) {
{
auto foundIt = operationClassMapCache.find(operationName);
if (foundIt != operationClassMapCache.end()) {
if (foundIt->second.is_none())
return std::nullopt;
assert(foundIt->second && "py::object is defined");
return foundIt->second;
}
}
// Not found. Load the dialect namespace.
auto split = operationName.split('.');
llvm::StringRef dialectNamespace = split.first;
loadDialectModule(dialectNamespace);
// Attempt to find from the canonical map and cache.
{
auto foundIt = operationClassMap.find(operationName);
if (foundIt != operationClassMap.end()) {
if (foundIt->second.is_none())
return std::nullopt;
assert(foundIt->second && "py::object is defined");
// Positive cache.
operationClassMapCache[operationName] = foundIt->second;
return foundIt->second;
}
// Negative cache.
operationClassMap[operationName] = py::none();
return std::nullopt;
}
}
void PyGlobals::clearImportCache() {
loadedDialectModulesCache.clear();
operationClassMapCache.clear();
typeCasterMapCache.clear();
}