1 /* Copyright 2022 The TensorFlow Authors. All Rights Reserved.
2
3 Licensed under the Apache License, Version 2.0 (the "License");
4 you may not use this file except in compliance with the License.
5 You may obtain a copy of the License at
6
7 http://www.apache.org/licenses/LICENSE-2.0
8
9 Unless required by applicable law or agreed to in writing, software
10 distributed under the License is distributed on an "AS IS" BASIS,
11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 See the License for the specific language governing permissions and
13 limitations under the License.
14 ==============================================================================*/
15
16 #include "tensorflow/dtensor/mlir/op_utils.h"
17
18 #include <string>
19
20 #include "llvm/Support/raw_ostream.h"
21
22 namespace tensorflow {
23 namespace dtensor {
24
25 // OpHash prints the `op` into a string and performs hash value on the output
26 // string.
27 //
28 // The `print` includes the full representation of the `op`, e.g., target
29 // register, layout, shape, etc. This should be sufficient to uniquely
30 // identify the operation in most cases. This does not capture function scope
31 // (identical op in 2 separate functions).
OpHash(mlir::Operation * op)32 uint64_t OpHash(mlir::Operation* op) {
33 std::string output;
34 llvm::raw_string_ostream output_stream(output);
35 mlir::OpPrintingFlags flags;
36 flags.elideLargeElementsAttrs(1024);
37 op->print(output_stream, flags);
38 return llvm::hash_value(output);
39 }
40
41 // Returns FuncOp if `op` is a callable.
MaybeFindFunction(mlir::Operation * op)42 absl::optional<mlir::func::FuncOp> MaybeFindFunction(mlir::Operation* op) {
43 auto call_op = llvm::dyn_cast<mlir::CallOpInterface>(op);
44 if (!call_op) return absl::nullopt;
45
46 mlir::CallInterfaceCallable callable = call_op.getCallableForCallee();
47 mlir::SymbolRefAttr sym = callable.dyn_cast<mlir::SymbolRefAttr>();
48 if (!sym) return absl::nullopt;
49
50 mlir::func::FuncOp func = llvm::dyn_cast<mlir::func::FuncOp>(
51 mlir::SymbolTable::lookupNearestSymbolFrom(op, sym));
52 if (!func) return absl::nullopt;
53
54 return func;
55 }
56
RemoveDTensorLayoutOp(mlir::TF::DTensorLayout layout)57 void RemoveDTensorLayoutOp(mlir::TF::DTensorLayout layout) {
58 layout.output().replaceAllUsesWith(layout.input());
59 layout.erase();
60 }
61
62 } // namespace dtensor
63 } // namespace tensorflow
64