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