3141bdefff
Support custom types (4/N): test that it is possible to customize memref layout specification for custom operations and function boundaries. This is purely a test setup (no API modifications) to ensure users are able to pass information from tensors to memrefs within bufferization process. To achieve this, a test pass is required (since bufferization options have to be set manually). As there is already a --test-one-shot-module-bufferize pass present, it is extended for the purpose.
84 lines
3.1 KiB
C++
84 lines
3.1 KiB
C++
//===- TestOneShotModuleBufferzation.cpp - Bufferization Test -----*- c++
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//-*-===//
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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/Bufferization/IR/Bufferization.h"
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#include "mlir/Dialect/Bufferization/Transforms/Bufferize.h"
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#include "mlir/Dialect/Bufferization/Transforms/OneShotModuleBufferize.h"
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#include "mlir/Dialect/Bufferization/Transforms/Transforms.h"
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#include "mlir/Dialect/Func/IR/FuncOps.h"
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#include "mlir/Pass/Pass.h"
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#include "TestAttributes.h" // TestTensorEncodingAttr, TestMemRefLayoutAttr
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#include "TestDialect.h"
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using namespace mlir;
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namespace {
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MemRefLayoutAttrInterface
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getMemRefLayoutForTensorEncoding(RankedTensorType tensorType) {
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if (auto encoding = dyn_cast_if_present<test::TestTensorEncodingAttr>(
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tensorType.getEncoding())) {
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return cast<MemRefLayoutAttrInterface>(test::TestMemRefLayoutAttr::get(
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tensorType.getContext(), encoding.getDummy()));
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}
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return {};
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}
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struct TestOneShotModuleBufferizePass
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: public PassWrapper<TestOneShotModuleBufferizePass, OperationPass<>> {
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MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(TestOneShotModuleBufferizePass)
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TestOneShotModuleBufferizePass() = default;
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TestOneShotModuleBufferizePass(const TestOneShotModuleBufferizePass &pass)
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: PassWrapper(pass) {}
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void getDependentDialects(DialectRegistry ®istry) const override {
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registry.insert<test::TestDialect>();
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registry.insert<bufferization::BufferizationDialect>();
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}
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StringRef getArgument() const final {
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return "test-one-shot-module-bufferize";
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}
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StringRef getDescription() const final {
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return "Pass to test One Shot Module Bufferization";
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}
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void runOnOperation() override {
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llvm::errs() << "Running TestOneShotModuleBufferize on: "
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<< getOperation()->getName() << "\n";
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bufferization::OneShotBufferizationOptions opt;
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opt.bufferizeFunctionBoundaries = true;
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opt.functionArgTypeConverterFn =
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[&](bufferization::TensorLikeType tensor, Attribute memSpace,
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func::FuncOp, const bufferization::BufferizationOptions &) {
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assert(isa<RankedTensorType>(tensor) && "tests only builtin tensors");
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auto tensorType = cast<RankedTensorType>(tensor);
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auto layout = getMemRefLayoutForTensorEncoding(tensorType);
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return cast<bufferization::BufferLikeType>(
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MemRefType::get(tensorType.getShape(),
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tensorType.getElementType(), layout, memSpace));
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};
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bufferization::BufferizationState bufferizationState;
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if (failed(bufferization::runOneShotModuleBufferize(getOperation(), opt,
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bufferizationState)))
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signalPassFailure();
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}
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};
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} // namespace
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namespace mlir::test {
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void registerTestOneShotModuleBufferizePass() {
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PassRegistration<TestOneShotModuleBufferizePass>();
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}
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} // namespace mlir::test
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