[Mlir-commits] [mlir] [mlir][MLProgram] Add MLProgram to MemRef bufferization pass (PR #75103)
Ryan Holt
llvmlistbot at llvm.org
Sun Jan 28 23:44:22 PST 2024
https://github.com/ryan-holt-1 updated https://github.com/llvm/llvm-project/pull/75103
>From b69999acb3443f70c020adcad5f9eb5bf7c4ad28 Mon Sep 17 00:00:00 2001
From: ryanholt <ryanholt at mathworks.com>
Date: Mon, 11 Dec 2023 15:46:28 -0500
Subject: [PATCH] [mlir][MLProgram] Implement BufferizableOpInterface
This commit implements the `BufferizableOpInterface` for
`ml_program.global`, `ml_program.global_load` and
`ml_program.global_store` so that these ops can be lowered all the way
to LLVM.
---
.../Transforms/BufferizableOpInterfaceImpl.h | 20 +++
.../Bufferization/Transforms/Bufferize.cpp | 4 +
.../Transforms/OneShotModuleBufferize.cpp | 2 +-
.../BufferizableOpInterfaceImpl.cpp | 153 ++++++++++++++++++
.../MLProgram/Transforms/CMakeLists.txt | 1 +
.../Dialect/MLProgram/one-shot-bufferize.mlir | 23 +++
6 files changed, 202 insertions(+), 1 deletion(-)
create mode 100644 mlir/include/mlir/Dialect/MLProgram/Transforms/BufferizableOpInterfaceImpl.h
create mode 100644 mlir/lib/Dialect/MLProgram/Transforms/BufferizableOpInterfaceImpl.cpp
create mode 100644 mlir/test/Dialect/MLProgram/one-shot-bufferize.mlir
diff --git a/mlir/include/mlir/Dialect/MLProgram/Transforms/BufferizableOpInterfaceImpl.h b/mlir/include/mlir/Dialect/MLProgram/Transforms/BufferizableOpInterfaceImpl.h
new file mode 100644
index 00000000000000..ca541238cf63b6
--- /dev/null
+++ b/mlir/include/mlir/Dialect/MLProgram/Transforms/BufferizableOpInterfaceImpl.h
@@ -0,0 +1,20 @@
+//===- BufferizableOpInterfaceImpl.h - Impl. of BufferizableOpInterface ---===//
+//
+// 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
+//
+//===----------------------------------------------------------------------===//
+
+#ifndef MLIR_DIALECT_MLPROGRAM_BUFFERIZABLEOPINTERFACEIMPL_H
+#define MLIR_DIALECT_MLPROGRAM_BUFFERIZABLEOPINTERFACEIMPL_H
+
+namespace mlir {
+class DialectRegistry;
+
+namespace ml_program {
+void registerBufferizableOpInterfaceExternalModels(DialectRegistry ®istry);
+} // namespace ml_program
+} // namespace mlir
+
+#endif // MLIR_DIALECT_MLPROGRAM_BUFFERIZABLEOPINTERFACEIMPL_H
diff --git a/mlir/lib/Dialect/Bufferization/Transforms/Bufferize.cpp b/mlir/lib/Dialect/Bufferization/Transforms/Bufferize.cpp
index 3f1626a6af34d4..a151ba94ff910f 100644
--- a/mlir/lib/Dialect/Bufferization/Transforms/Bufferize.cpp
+++ b/mlir/lib/Dialect/Bufferization/Transforms/Bufferize.cpp
@@ -494,6 +494,10 @@ LogicalResult bufferization::bufferizeOp(Operation *op,
<< "\n//===-------------------------------------------===//\n");
}
+ // Return early if the top-level op is entirely gone.
+ if (erasedOps.contains(op))
+ return success();
+
// Fold all to_memref(to_tensor(x)) pairs.
for (Operation *op : toMemrefOps) {
rewriter.setInsertionPoint(op);
diff --git a/mlir/lib/Dialect/Bufferization/Transforms/OneShotModuleBufferize.cpp b/mlir/lib/Dialect/Bufferization/Transforms/OneShotModuleBufferize.cpp
index aeda995fd585aa..33feea0b956ca0 100644
--- a/mlir/lib/Dialect/Bufferization/Transforms/OneShotModuleBufferize.cpp
+++ b/mlir/lib/Dialect/Bufferization/Transforms/OneShotModuleBufferize.cpp
@@ -459,7 +459,7 @@ LogicalResult mlir::bufferization::bufferizeModuleOp(
}
// Bufferize all other ops.
- for (Operation &op : moduleOp.getOps()) {
+ for (Operation &op : llvm::make_early_inc_range(moduleOp.getOps())) {
// Functions were already bufferized.
if (isa<func::FuncOp>(&op))
continue;
diff --git a/mlir/lib/Dialect/MLProgram/Transforms/BufferizableOpInterfaceImpl.cpp b/mlir/lib/Dialect/MLProgram/Transforms/BufferizableOpInterfaceImpl.cpp
new file mode 100644
index 00000000000000..b002e902bbad27
--- /dev/null
+++ b/mlir/lib/Dialect/MLProgram/Transforms/BufferizableOpInterfaceImpl.cpp
@@ -0,0 +1,153 @@
+//===- BufferizableOpInterfaceImpl.cpp - Impl. of BufferizableOpInterface -===//
+//
+// 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
+//
+//===----------------------------------------------------------------------===//
+
+#include "mlir/Dialect/Tensor/Transforms/BufferizableOpInterfaceImpl.h"
+
+#include "mlir/Dialect/Bufferization/IR/BufferizableOpInterface.h"
+#include "mlir/Dialect/MLProgram/IR/MLProgram.h"
+#include "mlir/Dialect/MemRef/IR/MemRef.h"
+
+using namespace mlir;
+using namespace mlir::bufferization;
+using namespace mlir::ml_program;
+
+namespace mlir {
+namespace ml_program {
+
+template <typename Interface, typename Op>
+struct ExternalModelBase
+ : public BufferizableOpInterface::ExternalModel<Interface, Op> {
+
+ AliasingValueList getAliasingValues(Operation *, OpOperand &,
+ const AnalysisState &) const {
+ return {};
+ }
+
+ BufferRelation bufferRelation(Operation *, OpResult,
+ const AnalysisState &) const {
+ return BufferRelation::Unknown;
+ }
+};
+
+/// Bufferization of ml_program.global into a memref.global
+struct GlobalOpInterface
+ : public ExternalModelBase<GlobalOpInterface, GlobalOp> {
+
+ bool bufferizesToMemoryRead(Operation *, OpOperand &,
+ const AnalysisState &) const {
+ return false;
+ }
+
+ bool bufferizesToMemoryWrite(Operation *, OpOperand &,
+ const AnalysisState &) const {
+ return false;
+ }
+
+ bool hasTensorSemantics(Operation *) const { return true; }
+
+ LogicalResult bufferize(Operation *op, RewriterBase &rewriter,
+ const BufferizationOptions &) const {
+ auto globalOp = cast<GlobalOp>(op);
+ if (!globalOp.getValue().has_value())
+ return globalOp.emitError("global op must have a value");
+
+ auto tensorType = cast<TensorType>(globalOp.getType());
+ auto memrefType = getMemRefTypeWithStaticIdentityLayout(tensorType);
+
+ replaceOpWithNewBufferizedOp<memref::GlobalOp>(
+ rewriter, globalOp, globalOp.getSymName(),
+ /*sym_visibility=*/globalOp.getSymVisibilityAttr(),
+ /*type=*/cast<MemRefType>(memrefType),
+ /*initial_value=*/globalOp.getValue().value(),
+ /*constant=*/!globalOp.getIsMutable(),
+ /*alignment=*/nullptr);
+ return success();
+ }
+};
+
+/// Bufferization of ml_program.global_load into a memref.get_global
+struct GlobalLoadOpInterface
+ : public ExternalModelBase<GlobalLoadOpInterface, GlobalLoadOp> {
+
+ bool bufferizesToMemoryRead(Operation *, OpOperand &,
+ const AnalysisState &) const {
+ return false;
+ }
+
+ bool bufferizesToMemoryWrite(Operation *, OpOperand &,
+ const AnalysisState &) const {
+ return false;
+ }
+
+ LogicalResult bufferize(Operation *op, RewriterBase &rewriter,
+ const BufferizationOptions &) const {
+ auto globalLoadOp = cast<GlobalLoadOp>(op);
+
+ auto tensorType = cast<TensorType>(globalLoadOp.getType());
+ auto memrefType = getMemRefTypeWithStaticIdentityLayout(tensorType);
+
+ replaceOpWithNewBufferizedOp<memref::GetGlobalOp>(
+ rewriter, globalLoadOp, memrefType,
+ globalLoadOp.getGlobalAttr().getLeafReference());
+
+ return success();
+ }
+};
+
+/// Bufferization of ml_program.global_store into a memref.get_global and
+/// op
+struct GlobalStoreOpInterface
+ : public ExternalModelBase<GlobalStoreOpInterface, GlobalStoreOp> {
+
+ bool bufferizesToMemoryRead(Operation *, OpOperand &,
+ const AnalysisState &) const {
+ return false;
+ }
+
+ bool bufferizesToMemoryWrite(Operation *, OpOperand &,
+ const AnalysisState &) const {
+ return true;
+ }
+
+ LogicalResult bufferize(Operation *op, RewriterBase &rewriter,
+ const BufferizationOptions &options) const {
+ auto globalStoreOp = cast<GlobalStoreOp>(op);
+
+ auto tensorType = cast<TensorType>(globalStoreOp.getValue().getType());
+ auto memrefType = getMemRefTypeWithStaticIdentityLayout(tensorType);
+
+ auto loc = globalStoreOp.getLoc();
+ auto targetMemref = rewriter.create<memref::GetGlobalOp>(
+ loc, memrefType, globalStoreOp.getGlobalAttr().getLeafReference());
+
+ auto sourceMemref = getBuffer(rewriter, globalStoreOp.getValue(), options);
+ if (failed(sourceMemref)) {
+ return failure();
+ }
+
+ auto memcpy =
+ options.createMemCpy(rewriter, loc, sourceMemref.value(), targetMemref);
+ if (failed(memcpy)) {
+ return failure();
+ }
+ rewriter.eraseOp(globalStoreOp);
+
+ return success();
+ }
+};
+
+void registerBufferizableOpInterfaceExternalModels(DialectRegistry ®istry) {
+ registry.addExtension(+[](MLIRContext *ctx, MLProgramDialect *) {
+ GlobalOp::attachInterface<GlobalOpInterface>(*ctx);
+ GlobalLoadOp::attachInterface<GlobalLoadOpInterface>(*ctx);
+ GlobalStoreOp::attachInterface<GlobalStoreOpInterface>(*ctx);
+ });
+}
+
+} // namespace ml_program
+} // namespace mlir
diff --git a/mlir/lib/Dialect/MLProgram/Transforms/CMakeLists.txt b/mlir/lib/Dialect/MLProgram/Transforms/CMakeLists.txt
index db567b62e0e747..53ca492339f509 100644
--- a/mlir/lib/Dialect/MLProgram/Transforms/CMakeLists.txt
+++ b/mlir/lib/Dialect/MLProgram/Transforms/CMakeLists.txt
@@ -1,4 +1,5 @@
add_mlir_dialect_library(MLIRMLProgramTransforms
+ BufferizableOpInterfaceImpl.cpp
PipelineGlobalOps.cpp
ADDITIONAL_HEADER_DIRS
diff --git a/mlir/test/Dialect/MLProgram/one-shot-bufferize.mlir b/mlir/test/Dialect/MLProgram/one-shot-bufferize.mlir
new file mode 100644
index 00000000000000..fa3a5dc749a67f
--- /dev/null
+++ b/mlir/test/Dialect/MLProgram/one-shot-bufferize.mlir
@@ -0,0 +1,23 @@
+// RUN: mlir-opt %s -one-shot-bufferize -split-input-file | FileCheck %s
+
+// CHECK-LABEL: memref.global "private" @global
+ml_program.global private mutable @global(dense<0> : tensor<i64>) : tensor<i64>
+
+// CHECK-LABEL: @global_load_store
+func.func @global_load_store() -> i64 {
+ // CHECK-DAG: %[[CST127:.+]] = arith.constant 127
+ // CHECK-DAG: %[[GLOBAL_1:.+]] = memref.get_global @global
+ // CHECK: %[[VALUE:.+]] = memref.load %[[GLOBAL_1]][]
+ // CHECK: %[[NEW_VALUE:.+]] = arith.muli %[[VALUE]], %[[CST127]]
+ // CHECK: memref.store %[[NEW_VALUE]], %[[GLOBAL_1]][]
+ // CHECK: %[[GLOBAL_2:.+]] = memref.get_global @global
+ // CHECK: memref.copy %[[GLOBAL_1]], %[[GLOBAL_2]]
+ // CHECK: return %[[NEW_VALUE]]
+ %c127_i64 = arith.constant 127 : i64
+ %0 = ml_program.global_load @global : tensor<i64>
+ %extracted = tensor.extract %0[] : tensor<i64>
+ %1 = arith.muli %extracted, %c127_i64 : i64
+ %inserted = tensor.insert %1 into %0[] : tensor<i64>
+ ml_program.global_store @global = %inserted : tensor<i64>
+ return %1 : i64
+}
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