0e4be262f4
Fix some dialect bindings I missed in https://github.com/llvm/llvm-project/pull/174156 so they don't bind C structs (because that leads to multiple registration in the case when multiple packages are used simultaneously).
126 lines
4.7 KiB
C++
126 lines
4.7 KiB
C++
//===- TransformInterpreter.cpp -------------------------------------------===//
|
|
//
|
|
// 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
|
|
//
|
|
//===----------------------------------------------------------------------===//
|
|
//
|
|
// Pybind classes for the transform dialect interpreter.
|
|
//
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
#include "mlir-c/Dialect/Transform/Interpreter.h"
|
|
#include "mlir-c/IR.h"
|
|
#include "mlir-c/Support.h"
|
|
#include "mlir/Bindings/Python/Diagnostics.h"
|
|
#include "mlir/Bindings/Python/IRCore.h"
|
|
#include "mlir/Bindings/Python/Nanobind.h"
|
|
#include "mlir/Bindings/Python/NanobindAdaptors.h"
|
|
|
|
namespace nb = nanobind;
|
|
|
|
namespace mlir {
|
|
namespace python {
|
|
namespace MLIR_BINDINGS_PYTHON_DOMAIN {
|
|
namespace transform_interpreter {
|
|
struct PyTransformOptions {
|
|
PyTransformOptions() { options = mlirTransformOptionsCreate(); };
|
|
PyTransformOptions(PyTransformOptions &&other) {
|
|
options = other.options;
|
|
other.options.ptr = nullptr;
|
|
}
|
|
PyTransformOptions(const PyTransformOptions &) = delete;
|
|
|
|
~PyTransformOptions() { mlirTransformOptionsDestroy(options); }
|
|
|
|
MlirTransformOptions options;
|
|
};
|
|
} // namespace transform_interpreter
|
|
} // namespace MLIR_BINDINGS_PYTHON_DOMAIN
|
|
} // namespace python
|
|
} // namespace mlir
|
|
|
|
static void populateTransformInterpreterSubmodule(nb::module_ &m) {
|
|
using namespace mlir::python::MLIR_BINDINGS_PYTHON_DOMAIN;
|
|
using namespace transform_interpreter;
|
|
nb::class_<PyTransformOptions>(m, "TransformOptions")
|
|
.def(nb::init<>())
|
|
.def_prop_rw(
|
|
"expensive_checks",
|
|
[](const PyTransformOptions &self) {
|
|
return mlirTransformOptionsGetExpensiveChecksEnabled(self.options);
|
|
},
|
|
[](PyTransformOptions &self, bool value) {
|
|
mlirTransformOptionsEnableExpensiveChecks(self.options, value);
|
|
})
|
|
.def_prop_rw(
|
|
"enforce_single_top_level_transform_op",
|
|
[](const PyTransformOptions &self) {
|
|
return mlirTransformOptionsGetEnforceSingleTopLevelTransformOp(
|
|
self.options);
|
|
},
|
|
[](PyTransformOptions &self, bool value) {
|
|
mlirTransformOptionsEnforceSingleTopLevelTransformOp(self.options,
|
|
value);
|
|
});
|
|
|
|
m.def(
|
|
"apply_named_sequence",
|
|
[](PyOperationBase &payloadRoot, PyOperationBase &transformRoot,
|
|
PyOperationBase &transformModule, const PyTransformOptions &options) {
|
|
mlir::python::CollectDiagnosticsToStringScope scope(
|
|
mlirOperationGetContext(transformRoot.getOperation()));
|
|
|
|
// Calling back into Python to invalidate everything under the payload
|
|
// root. This is awkward, but we don't have access to PyMlirContext
|
|
// object here otherwise.
|
|
nb::object obj = nb::cast(payloadRoot);
|
|
|
|
MlirLogicalResult result = mlirTransformApplyNamedSequence(
|
|
payloadRoot.getOperation(), transformRoot.getOperation(),
|
|
transformModule.getOperation(), options.options);
|
|
if (mlirLogicalResultIsSuccess(result)) {
|
|
// Even in cases of success, we might have diagnostics to report:
|
|
std::string msg;
|
|
if ((msg = scope.takeMessage()).size() > 0) {
|
|
fprintf(stderr,
|
|
"Diagnostic generated while applying "
|
|
"transform.named_sequence:\n%s",
|
|
msg.data());
|
|
}
|
|
return;
|
|
}
|
|
|
|
throw nb::value_error(
|
|
("Failed to apply named transform sequence.\nDiagnostic message " +
|
|
scope.takeMessage())
|
|
.c_str());
|
|
},
|
|
nb::arg("payload_root"), nb::arg("transform_root"),
|
|
nb::arg("transform_module"),
|
|
nb::arg("transform_options") = PyTransformOptions());
|
|
|
|
m.def(
|
|
"copy_symbols_and_merge_into",
|
|
[](PyOperationBase &target, PyOperationBase &other) {
|
|
mlir::python::CollectDiagnosticsToStringScope scope(
|
|
mlirOperationGetContext(target.getOperation()));
|
|
|
|
MlirLogicalResult result = mlirMergeSymbolsIntoFromClone(
|
|
target.getOperation(), other.getOperation());
|
|
if (mlirLogicalResultIsFailure(result)) {
|
|
throw nb::value_error(
|
|
("Failed to merge symbols.\nDiagnostic message " +
|
|
scope.takeMessage())
|
|
.c_str());
|
|
}
|
|
},
|
|
nb::arg("target"), nb::arg("other"));
|
|
}
|
|
|
|
NB_MODULE(_mlirTransformInterpreter, m) {
|
|
m.doc() = "MLIR Transform dialect interpreter functionality.";
|
|
populateTransformInterpreterSubmodule(m);
|
|
}
|