Files
clang-p2996/mlir/test/lib/Transforms/TestInlining.cpp
River Riddle fd01d8626c [mlir] Rewrite the internal representation of OpResult to be optimized for memory.
Summary:
This changes the implementation of OpResult to have some of the results be represented inline in Value, via a pointer int pair of Operation*+result number, and the rest being trailing objects on the main operation. The full details of the new representation is detailed in the proposal here:
https://groups.google.com/a/tensorflow.org/g/mlir/c/XXzzKhqqF_0/m/v6bKb08WCgAJ

The only difference between here and the above proposal is that we only steal 2-bits for the Value kind instead of 3. This means that we can only fit 2-results inline instead of 6. This allows for other users to steal the final bit for PointerUnion/etc. If necessary, we can always steal this bit back in the future to save more space if 3-6 results are common enough.

Reviewed By: jpienaar

Differential Revision: https://reviews.llvm.org/D72020
2020-01-02 14:40:09 -08:00

65 lines
2.3 KiB
C++

//===- TestInlining.cpp - Pass to inline calls in the test dialect --------===//
//
// Part of the MLIR 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
//
//===----------------------------------------------------------------------===//
//
// TODO(riverriddle) This pass is only necessary because the main inlining pass
// has no abstracted away the call+callee relationship. When the inlining
// interface has this support, this pass should be removed.
//
//===----------------------------------------------------------------------===//
#include "TestDialect.h"
#include "mlir/Dialect/StandardOps/Ops.h"
#include "mlir/IR/Function.h"
#include "mlir/Pass/Pass.h"
#include "mlir/Transforms/InliningUtils.h"
#include "mlir/Transforms/Passes.h"
#include "llvm/ADT/StringSet.h"
using namespace mlir;
namespace {
struct Inliner : public FunctionPass<Inliner> {
void runOnFunction() override {
auto function = getFunction();
// Collect each of the direct function calls within the module.
SmallVector<CallIndirectOp, 16> callers;
function.walk([&](CallIndirectOp caller) { callers.push_back(caller); });
// Build the inliner interface.
InlinerInterface interface(&getContext());
// Try to inline each of the call operations.
for (auto caller : callers) {
auto callee = dyn_cast_or_null<FunctionalRegionOp>(
caller.getCallee()->getDefiningOp());
if (!callee)
continue;
// Inline the functional region operation, but only clone the internal
// region if there is more than one use.
if (failed(inlineRegion(
interface, &callee.body(), caller,
llvm::to_vector<8>(caller.getArgOperands()),
SmallVector<Value, 8>(caller.getResults()), caller.getLoc(),
/*shouldCloneInlinedRegion=*/!callee.getResult()->hasOneUse())))
continue;
// If the inlining was successful then erase the call and callee if
// possible.
caller.erase();
if (callee.use_empty())
callee.erase();
}
}
};
} // end anonymous namespace
static PassRegistration<Inliner> pass("test-inline",
"Test inlining region calls");