| // Copyright 2019 Google LLC |
| // |
| // 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 |
| // |
| // https://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 "compiler/IR/Ops.h" |
| #include "compiler/Utils/MemRefUtils.h" |
| #include "mlir/IR/PatternMatch.h" |
| #include "tensorflow/compiler/mlir/xla/ir/hlo_ops.h" |
| |
| namespace mlir { |
| namespace iree_compiler { |
| |
| namespace { |
| |
| struct ConstOpLowering : public OpRewritePattern<xla_hlo::ConstOp> { |
| using OpRewritePattern::OpRewritePattern; |
| |
| PatternMatchResult matchAndRewrite(xla_hlo::ConstOp op, |
| PatternRewriter &rewriter) const override { |
| auto ireeConst = rewriter.create<IREE::ConstantOp>(op.getLoc(), op.value()); |
| rewriter.replaceOp(op, wrapAsTensor(ireeConst, op, rewriter)); |
| return matchSuccess(); |
| } |
| }; |
| |
| } // namespace |
| |
| void populateLowerXlaToIreePatterns(OwningRewritePatternList &patterns, |
| MLIRContext *ctx) { |
| patterns.insert<ConstOpLowering>(ctx); |
| } |
| |
| } // namespace iree_compiler |
| } // namespace mlir |