45471e2635
This is part of an effort to remove entirely the global constructor registration in favor of explicit registry in order to get more manageable build dependencies. PiperOrigin-RevId: 328176806 Change-Id: I2dd02eef77d439fcaf1f79f2fd537b8021aa2e2d
34 lines
1.3 KiB
C++
34 lines
1.3 KiB
C++
/* Copyright 2020 Google Inc. All Rights Reserved.
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software
|
|
distributed under the License is distributed on an "AS IS" BASIS,
|
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
See the License for the specific language governing permissions and
|
|
limitations under the License.
|
|
==============================================================================*/
|
|
|
|
#include "mlir/Dialect/StandardOps/IR/Ops.h" // from @llvm-project
|
|
#include "mlir/InitAllPasses.h" // from @llvm-project
|
|
#include "mlir/Support/MlirOptMain.h" // from @llvm-project
|
|
#include "tensorflow/compiler/mlir/init_mlir.h"
|
|
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
|
|
#include "tensorflow/compiler/mlir/tfjs/ir/tfjs_ops.h"
|
|
|
|
int main(int argc, char **argv) {
|
|
tensorflow::InitMlir y(&argc, &argv);
|
|
|
|
mlir::registerAllPasses();
|
|
|
|
mlir::DialectRegistry registry;
|
|
registry.insert<mlir::StandardOpsDialect>();
|
|
registry.insert<mlir::TF::TensorFlowDialect>();
|
|
registry.insert<mlir::tfjs::TFJSDialect>();
|
|
return failed(mlir::MlirOptMain(argc, argv, "TF JS pass driver\n", registry));
|
|
}
|