1/* Copyright 2022 The TensorFlow Authors. All Rights Reserved.
2
3Licensed under the Apache License, Version 2.0 (the "License");
4you may not use this file except in compliance with the License.
5You may obtain a copy of the License at
6
7 http://www.apache.org/licenses/LICENSE-2.0
8
9Unless required by applicable law or agreed to in writing, software
10distributed under the License is distributed on an "AS IS" BASIS,
11WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12See the License for the specific language governing permissions and
13limitations under the License.
14==============================================================================*/
15
16#include "llvm/ADT/STLExtras.h"
17#include "llvm/ADT/StringRef.h"
18#include "mlir/Dialect/Func/IR/FuncOps.h" // from @llvm-project
19#include "mlir/IR/Attributes.h" // from @llvm-project
20#include "mlir/IR/Builders.h" // from @llvm-project
21#include "mlir/IR/Operation.h" // from @llvm-project
22#include "mlir/IR/Visitors.h" // from @llvm-project
23#include "mlir/Transforms/Passes.h" // from @llvm-project
24#include "tensorflow/compiler/mlir/tensorflow/ir/tf_device.h"
25#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
26#include "tensorflow/dtensor/cc/constants.h"
27#include "tensorflow/dtensor/cc/tensor_layout.h"
28#include "tensorflow/dtensor/mlir/dtensor_mlir_passes.h"
29#include "tensorflow/dtensor/mlir/ir/tf_dtensor.h"
30
31namespace tensorflow {
32namespace dtensor {
33
34namespace {
35#define GEN_PASS_DEF_DTENSORDESIGNATERESOURCEHANDLEMESH
36#include "tensorflow/dtensor/mlir/dtensor_passes.h.inc"
37
38mlir::LogicalResult SetMeshForResourceCreatingCluster(
39 mlir::tf_device::ClusterOp cluster, mlir::OpBuilder* builder) {
40 auto result = cluster.walk([](mlir::Operation* op) {
41 if (llvm::isa<mlir::TF::VarHandleOp, mlir::TF::DestroyResourceOp>(op))
42 return mlir::WalkResult::interrupt();
43 return mlir::WalkResult::advance();
44 });
45
46 if (!result.wasInterrupted()) return mlir::success();
47
48 const auto& cluster_ops = cluster.GetBody().without_terminator();
49
50 bool has_single_tf_op =
51 llvm::count_if(cluster_ops, [](auto& operation) {
52 return !llvm::isa<mlir::TF::DTensorLayout>(&operation);
53 }) == 1;
54
55 if (!has_single_tf_op) {
56 return cluster.emitOpError(
57 "cluster containing tf.VarHandleOp/DestroyResourceOp must contain "
58 "single operation and a terminator");
59 }
60
61 if (!cluster->hasAttr(kMeshAttr)) {
62 cluster->setAttr(kMeshAttr, builder->getStringAttr(Mesh::kEmptyMeshString));
63 }
64 return mlir::success();
65}
66
67struct DTensorDesignateResourceHandleMesh
68 : public impl::DTensorDesignateResourceHandleMeshBase<
69 DTensorDesignateResourceHandleMesh> {
70 void runOnOperation() override {
71 mlir::MLIRContext& context = getContext();
72 mlir::OpBuilder builder(&context);
73
74 auto walk_result =
75 getOperation().walk([&](mlir::tf_device::ClusterOp cluster) {
76 if (mlir::failed(
77 SetMeshForResourceCreatingCluster(cluster, &builder)))
78 return mlir::WalkResult::interrupt();
79 return mlir::WalkResult::advance();
80 });
81
82 if (walk_result.wasInterrupted()) return signalPassFailure();
83 }
84};
85
86} // namespace
87
88std::unique_ptr<mlir::OperationPass<mlir::func::FuncOp>>
89CreateDTensorDesignateResourceHandleMesh() {
90 return std::make_unique<DTensorDesignateResourceHandleMesh>();
91}
92
93} // namespace dtensor
94} // namespace tensorflow
95