torch-mlir/lib/Python/MlirPass.cpp

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2020-06-03 16:29:59 +08:00
//===- MlirIr.cpp - MLIR IR 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 "npcomp/Python/MlirPass.h"
#include "npcomp/Python/MlirInit.h"
#include "npcomp/Python/NpcompModule.h"
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#include "mlir/Pass/PassRegistry.h"
namespace mlir {
//===----------------------------------------------------------------------===//
// Module initialization
//===----------------------------------------------------------------------===//
void defineMlirPassModule(py::module m) {
m.doc() = "Python bindings for mlir pass infra";
PyPassManager::bind(m);
}
//===----------------------------------------------------------------------===//
// PassManager
//===----------------------------------------------------------------------===//
void PyPassManager::bind(py::module m) {
py::class_<PyPassManager>(m, "PassManager")
.def(py::init<std::shared_ptr<PyContext>, bool>(), py::arg("context"),
py::arg("verifyModules") = true)
.def("enableCrashReproducerGeneration",
[](PyPassManager &self, std::string outputFile,
bool genLocalReproducer) {
self.passManager.enableCrashReproducerGeneration(
outputFile, genLocalReproducer);
},
py::arg("outputFile"), py::arg("genLocalReproducer") = false)
.def("__len__",
[](PyPassManager &self) { return self.passManager.size(); })
.def("__str__",
[](PyPassManager &self) {
std::string spec;
llvm::raw_string_ostream stream(spec);
self.passManager.printAsTextualPipeline(stream);
return spec;
})
.def("run",
[](PyPassManager &self, PyModuleOp &module) {
if (module.context.get() != self.context.get()) {
throw py::raiseValueError(
"Expected a module with the same context "
"as the PassManager");
}
if (failed(self.passManager.run(module.moduleOp))) {
// TODO: Wrap propagate context diagnostics
throw py::raisePyError(PyExc_RuntimeError,
"Could not run passes");
}
})
.def("addPassPipelines", [](PyPassManager &self, py::args passPipelines) {
std::string error;
llvm::raw_string_ostream error_stream(error);
for (auto pyPassPipeline : passPipelines) {
auto passPipeline = pyPassPipeline.cast<std::string>();
if (failed(mlir::parsePassPipeline(passPipeline, self.passManager,
error_stream))) {
std::string message = "failed to parse pass pipeline '";
message.append(passPipeline);
message.append("': ");
message.append(error);
throw py::raiseValueError(message);
}
}
});
}
} // namespace mlir