9f77909a5e
Add outline-shape-computation pass. This pass his pass outlines the shape computation part in high level IR by adding shape.func and populate corresponding mapping information into ShapeMappingAnalysis. Reviewed By: jpienaar Differential Revision: https://reviews.llvm.org/D131810
44 lines
1.4 KiB
C++
44 lines
1.4 KiB
C++
//===- TestShapeMappingInfo.cpp -------------------------------------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Dialect/Shape/Analysis/ShapeMappingAnalysis.h"
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#include "mlir/IR/BuiltinOps.h"
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#include "mlir/Pass/Pass.h"
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using namespace mlir;
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namespace {
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struct TestShapeMappingPass
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: public PassWrapper<TestShapeMappingPass, OperationPass<ModuleOp>> {
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MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(TestShapeMappingPass)
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StringRef getArgument() const final { return "test-print-shape-mapping"; }
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StringRef getDescription() const final {
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return "Print the contents of a constructed shape mapping information.";
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}
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void runOnOperation() override {
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llvm::Optional<std::reference_wrapper<shape::ShapeMappingAnalysis>>
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maybeAnalysis = getCachedAnalysis<shape::ShapeMappingAnalysis>();
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if (maybeAnalysis.has_value())
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maybeAnalysis.value().get().print(llvm::errs());
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else
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llvm::errs() << "No cached ShapeMappingAnalysis existed.";
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}
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};
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} // namespace
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namespace mlir {
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namespace test {
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void registerTestShapeMappingPass() {
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PassRegistration<TestShapeMappingPass>();
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}
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} // namespace test
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} // namespace mlir
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