67d0d7ac0a
The patch introduces the required changes to update the pass declarations and definitions to use the new autogenerated files and allow dropping the old infrastructure. Reviewed By: mehdi_amini, rriddle Differential Review: https://reviews.llvm.org/D132838
59 lines
2.1 KiB
C++
59 lines
2.1 KiB
C++
//===- Bufferize.cpp - Bufferization for `tensor` dialect ops -------------===//
|
|
//
|
|
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
|
|
// See https://llvm.org/LICENSE.txt for license information.
|
|
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
|
|
//
|
|
//===----------------------------------------------------------------------===//
|
|
//
|
|
// This file implements bufferization of `tensor` dialect ops
|
|
//
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
#include "mlir/Dialect/Bufferization/Transforms/Bufferize.h"
|
|
#include "mlir/Dialect/Arithmetic/IR/Arithmetic.h"
|
|
#include "mlir/Dialect/Bufferization/IR/BufferizableOpInterface.h"
|
|
#include "mlir/Dialect/Bufferization/IR/Bufferization.h"
|
|
#include "mlir/Dialect/Func/IR/FuncOps.h"
|
|
#include "mlir/Dialect/MemRef/IR/MemRef.h"
|
|
#include "mlir/Dialect/SCF/IR/SCF.h"
|
|
#include "mlir/Dialect/Tensor/IR/Tensor.h"
|
|
#include "mlir/Dialect/Tensor/Transforms/BufferizableOpInterfaceImpl.h"
|
|
#include "mlir/Dialect/Tensor/Transforms/Passes.h"
|
|
#include "mlir/IR/ImplicitLocOpBuilder.h"
|
|
#include "mlir/Transforms/DialectConversion.h"
|
|
|
|
namespace mlir {
|
|
namespace tensor {
|
|
#define GEN_PASS_DEF_TENSORBUFFERIZE
|
|
#include "mlir/Dialect/Tensor/Transforms/Passes.h.inc"
|
|
} // namespace tensor
|
|
} // namespace mlir
|
|
|
|
using namespace mlir;
|
|
using namespace bufferization;
|
|
|
|
namespace {
|
|
struct TensorBufferizePass
|
|
: public tensor::impl::TensorBufferizeBase<TensorBufferizePass> {
|
|
void runOnOperation() override {
|
|
BufferizationOptions options = getPartialBufferizationOptions();
|
|
options.opFilter.allowDialect<tensor::TensorDialect>();
|
|
|
|
if (failed(bufferizeOp(getOperation(), options)))
|
|
signalPassFailure();
|
|
}
|
|
|
|
void getDependentDialects(DialectRegistry ®istry) const override {
|
|
registry.insert<bufferization::BufferizationDialect, memref::MemRefDialect,
|
|
tensor::TensorDialect, scf::SCFDialect,
|
|
arith::ArithmeticDialect>();
|
|
tensor::registerBufferizableOpInterfaceExternalModels(registry);
|
|
}
|
|
};
|
|
} // namespace
|
|
|
|
std::unique_ptr<Pass> mlir::createTensorBufferizePass() {
|
|
return std::make_unique<TensorBufferizePass>();
|
|
}
|