| /* Copyright 2022 The TensorFlow Authors. 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/Pass/PassBase.td" |
| |
| def TestGmlStLoopPeeling : Pass<"test-gml-st-loop-peeling", "mlir::FuncOp"> { |
| let summary = "Peel `gml_st.loop`"; |
| let constructor = "::mlir::gml_st::createTestGmlStLoopPeelingPass()"; |
| let options = [ |
| Option<"skip_partial", "skip-partial", "bool", /*default=*/"false", |
| "Skip loops inside partial iterations during peeling">, |
| ListOption<"dims", "dims", "unsigned", "Dimensions to peel", |
| "llvm::cl::OneOrMore, llvm::cl::MiscFlags::CommaSeparated">, |
| ]; |
| } |