mirror of https://github.com/llvm/torch-mlir
115 lines
4.0 KiB
C++
115 lines
4.0 KiB
C++
//===----------------------------------------------------------------------===//
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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 "../PassDetail.h"
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#include "npcomp/RefBackend/RefBackend.h"
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#include "mlir/Dialect/Linalg/IR/LinalgOps.h"
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#include "mlir/Dialect/Linalg/IR/LinalgTypes.h"
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#include "mlir/Dialect/SCF/SCF.h"
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#include "mlir/Dialect/Shape/IR/Shape.h"
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#include "mlir/Dialect/StandardOps/IR/Ops.h"
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#include "mlir/Pass/Pass.h"
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#include "mlir/Pass/PassRegistry.h"
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#include "mlir/Transforms/DialectConversion.h"
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#include "npcomp/Dialect/RefBackend/IR/RefBackendDialect.h"
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#include "npcomp/Dialect/RefBackend/IR/RefBackendOps.h"
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using namespace mlir;
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using namespace mlir::NPCOMP;
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//===----------------------------------------------------------------------===//
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// LowerConstantTensorsToMemref
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//===----------------------------------------------------------------------===//
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namespace {
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// This class creates global ops for all tensor-valued constants in the program.
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// It creates them with pretty names and makes sure that duplicate globals
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// aren't created.
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class GlobalCreator {
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public:
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explicit GlobalCreator(ModuleOp module);
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refback::GlobalOp getGlobalFor(Attribute attr) {
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assert(globals.find(attr) != globals.end() && "unknown constant attr");
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return globals[attr];
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}
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private:
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DenseMap<Attribute, refback::GlobalOp> globals;
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};
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GlobalCreator::GlobalCreator(ModuleOp module) {
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// Create a builder without an insertion point. We will insert using the
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// symbol table to guarantee unique names.
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OpBuilder globalBuilder(module.getContext());
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SymbolTable symbolTable(module);
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module.walk([&](ConstantOp op) {
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// We only want tensor constants for now.
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auto type = op.getType().dyn_cast<RankedTensorType>();
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if (!type)
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return;
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// If we already have a global for this constant value, no need to do
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// anything else.
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auto it = globals.find(op.getValue());
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if (it != globals.end())
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return;
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// Create a pretty name.
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SmallString<64> buf;
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llvm::raw_svector_ostream os(buf);
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interleave(type.getShape(), os, "x");
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os << "x" << type.getElementType();
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auto global = globalBuilder.create<refback::GlobalOp>(
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op.getLoc(), (Twine("__constant_") + os.str()).str(),
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op.getValue().cast<ElementsAttr>());
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symbolTable.insert(global);
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// The symbol table inserts at the end of the module, but globals are a bit
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// nicer if they are at the beginning.
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global.getOperation()->moveBefore(&module.front());
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globals[op.getValue()] = global;
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});
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}
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} // namespace
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namespace {
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class LowerConstantTensorsToMemref
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: public LowerConstantTensorsToMemrefBase<LowerConstantTensorsToMemref> {
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void getDependentDialects(DialectRegistry ®istry) const override {
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registry.insert<refback::RefBackendDialect>();
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}
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void runOnOperation() override {
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auto module = getOperation();
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GlobalCreator globals(module);
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// With the global traversal factored into GlobalCreator, this could in
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// principle be done with a pattern.
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module.walk([&](ConstantOp op) {
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auto type = op.getType().dyn_cast<RankedTensorType>();
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if (!type)
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return;
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auto global = globals.getGlobalFor(op.getValue());
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OpBuilder builder(op);
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auto memrefType = MemRefType::get(type.getShape(), type.getElementType());
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auto memref = builder.create<refback::GetGlobalMemrefOp>(
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op.getLoc(), memrefType, global.getName());
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Value tensor =
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builder.create<refback::MemrefToTensorOp>(op.getLoc(), type, memref);
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op.replaceAllUsesWith(tensor);
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op.erase();
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});
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}
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};
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} // namespace
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std::unique_ptr<OperationPass<ModuleOp>>
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mlir::NPCOMP::createLowerConstantTensorsToMemrefPass() {
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return std::make_unique<LowerConstantTensorsToMemref>();
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}
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