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1 /* Copyright 2020 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 "mlir/Pass/Pass.h"  // from @llvm-project
17 #include "mlir/Pass/PassRegistry.h"  // from @llvm-project
18 #include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
19 
20 namespace mlir {
21 namespace TF {
22 
23 namespace {
24 
25 constexpr char kShapeInvariantAttr[] = "shape_invariant";
26 
27 // Drop `shape_invariant` attribute from tf.While and tf.WhileRegion op. This
28 // would allow shape inference pass to further refine operand/result shapes of
29 // these ops. This is only safe to do when compiling to XLA.
30 class DropWhileShapeInvariantPass
31     : public PassWrapper<DropWhileShapeInvariantPass, FunctionPass> {
32   void runOnFunction() override;
33 };
34 
runOnFunction()35 void DropWhileShapeInvariantPass::runOnFunction() {
36   getFunction().walk([](Operation* op) {
37     if (llvm::isa<WhileOp, WhileRegionOp>(op))
38       op->removeAttr(kShapeInvariantAttr);
39   });
40 }
41 
42 static PassRegistration<DropWhileShapeInvariantPass> pass(
43     "tf-drop-while-shape-invariant",
44     "Drop `shape_invariant` attrbute from While/WhileRegion ops.");
45 
46 }  // namespace
47 
CreateDropWhileShapeInvariantPass()48 std::unique_ptr<OperationPass<FuncOp>> CreateDropWhileShapeInvariantPass() {
49   return std::make_unique<DropWhileShapeInvariantPass>();
50 }
51 
52 }  // namespace TF
53 }  // namespace mlir
54