[Mlir-commits] [mlir] 2fc5106 - [mlir] Remove dialect specific bufferization passes (#93488)
llvmlistbot at llvm.org
llvmlistbot at llvm.org
Tue May 28 03:13:02 PDT 2024
Author: Kunwar Grover
Date: 2024-05-28T11:12:58+01:00
New Revision: 2fc510643747dc70abdf8f2f7efcc7763d1392cb
URL: https://github.com/llvm/llvm-project/commit/2fc510643747dc70abdf8f2f7efcc7763d1392cb
DIFF: https://github.com/llvm/llvm-project/commit/2fc510643747dc70abdf8f2f7efcc7763d1392cb.diff
LOG: [mlir] Remove dialect specific bufferization passes (#93488)
These passes have been depreciated for a long time and replaced by
one-shot bufferization. These passes are also unsafe because they do not
check for read-after-write conflicts.
Added:
Modified:
mlir/include/mlir/Dialect/Arith/Transforms/Passes.h
mlir/include/mlir/Dialect/Arith/Transforms/Passes.td
mlir/include/mlir/Dialect/Bufferization/Transforms/Passes.h
mlir/include/mlir/Dialect/Bufferization/Transforms/Passes.td
mlir/include/mlir/Dialect/Linalg/Passes.h
mlir/include/mlir/Dialect/Linalg/Passes.td
mlir/include/mlir/Dialect/Shape/Transforms/Passes.h
mlir/include/mlir/Dialect/Shape/Transforms/Passes.td
mlir/include/mlir/Dialect/Tensor/Transforms/Passes.h
mlir/include/mlir/Dialect/Tensor/Transforms/Passes.td
mlir/include/mlir/Dialect/Vector/Transforms/Passes.h
mlir/include/mlir/Dialect/Vector/Transforms/Passes.td
mlir/lib/Dialect/Arith/Transforms/CMakeLists.txt
mlir/lib/Dialect/Bufferization/Transforms/Bufferize.cpp
mlir/lib/Dialect/Linalg/Transforms/CMakeLists.txt
mlir/lib/Dialect/Shape/Transforms/CMakeLists.txt
mlir/lib/Dialect/Tensor/Transforms/CMakeLists.txt
mlir/lib/Dialect/Vector/Transforms/CMakeLists.txt
mlir/test/Dialect/Arith/bufferize.mlir
mlir/test/Dialect/Linalg/bufferize.mlir
mlir/test/Dialect/Shape/bufferize.mlir
mlir/test/Dialect/SparseTensor/sparse_lower.mlir
mlir/test/Dialect/SparseTensor/sparse_lower_col.mlir
mlir/test/Dialect/SparseTensor/sparse_lower_inplace.mlir
mlir/test/Dialect/Tensor/bufferize.mlir
mlir/test/Dialect/Vector/bufferize-invalid.mlir
mlir/test/Dialect/Vector/bufferize.mlir
Removed:
mlir/lib/Dialect/Arith/Transforms/Bufferize.cpp
mlir/lib/Dialect/Linalg/Transforms/Bufferize.cpp
mlir/lib/Dialect/Shape/Transforms/Bufferize.cpp
mlir/lib/Dialect/Tensor/Transforms/Bufferize.cpp
mlir/lib/Dialect/Vector/Transforms/Bufferize.cpp
################################################################################
diff --git a/mlir/include/mlir/Dialect/Arith/Transforms/Passes.h b/mlir/include/mlir/Dialect/Arith/Transforms/Passes.h
index cbc6147cb81e2..9dc262cc72ed0 100644
--- a/mlir/include/mlir/Dialect/Arith/Transforms/Passes.h
+++ b/mlir/include/mlir/Dialect/Arith/Transforms/Passes.h
@@ -24,9 +24,6 @@ namespace arith {
class WideIntEmulationConverter;
class NarrowTypeEmulationConverter;
-/// Create a pass to bufferize arith.constant ops.
-std::unique_ptr<Pass> createConstantBufferizePass(uint64_t alignment = 0);
-
/// Adds patterns to emulate wide Arith and Function ops over integer
/// types into supported ones. This is done by splitting original power-of-two
/// i2N integer types into two iN halves.
diff --git a/mlir/include/mlir/Dialect/Arith/Transforms/Passes.td b/mlir/include/mlir/Dialect/Arith/Transforms/Passes.td
index 4096e309199e9..550c5c0cf4f60 100644
--- a/mlir/include/mlir/Dialect/Arith/Transforms/Passes.td
+++ b/mlir/include/mlir/Dialect/Arith/Transforms/Passes.td
@@ -11,22 +11,6 @@
include "mlir/Pass/PassBase.td"
-def ArithBufferizePass : Pass<"arith-bufferize", "ModuleOp"> {
- let summary = "Bufferize Arith dialect ops.";
- let description = [{
- This pass bufferizes arith dialect ops.
-
- This pass needs to be a module pass because it inserts memref.global
- ops into the module, which cannot be done safely from a function pass due to
- multi-threading. Most other bufferization passes can run in parallel at
- function granularity.
- }];
- let options = [
- Option<"alignment", "alignment", "unsigned", /*default=*/"0",
- "Create global memrefs with a specified alignment">,
- ];
-}
-
def ArithExpandOpsPass : Pass<"arith-expand"> {
let summary = "Legalize Arith ops to be convertible to LLVM.";
let dependentDialects = ["vector::VectorDialect"];
diff --git a/mlir/include/mlir/Dialect/Bufferization/Transforms/Passes.h b/mlir/include/mlir/Dialect/Bufferization/Transforms/Passes.h
index 459c252b70712..e053e6c97e143 100644
--- a/mlir/include/mlir/Dialect/Bufferization/Transforms/Passes.h
+++ b/mlir/include/mlir/Dialect/Bufferization/Transforms/Passes.h
@@ -221,9 +221,6 @@ createPromoteBuffersToStackPass(std::function<bool(Value)> isSmallAlloc);
/// insert_slice ops.
std::unique_ptr<Pass> createEmptyTensorEliminationPass();
-/// Create a pass that bufferizes ops from the bufferization dialect.
-std::unique_ptr<Pass> createBufferizationBufferizePass();
-
//===----------------------------------------------------------------------===//
// Registration
//===----------------------------------------------------------------------===//
diff --git a/mlir/include/mlir/Dialect/Bufferization/Transforms/Passes.td b/mlir/include/mlir/Dialect/Bufferization/Transforms/Passes.td
index 75ce85c9128c9..8f8826b9ad56b 100644
--- a/mlir/include/mlir/Dialect/Bufferization/Transforms/Passes.td
+++ b/mlir/include/mlir/Dialect/Bufferization/Transforms/Passes.td
@@ -350,11 +350,6 @@ def FinalizingBufferize : Pass<"finalizing-bufferize", "func::FuncOp"> {
let constructor = "mlir::bufferization::createFinalizingBufferizePass()";
}
-def BufferizationBufferize : Pass<"bufferization-bufferize", "func::FuncOp"> {
- let summary = "Bufferize the `bufferization` dialect";
- let constructor = "mlir::bufferization::createBufferizationBufferizePass()";
-}
-
def DropEquivalentBufferResults : Pass<"drop-equivalent-buffer-results", "ModuleOp"> {
let summary = "Remove MemRef return values that are equivalent to a bbArg";
let description = [{
diff --git a/mlir/include/mlir/Dialect/Linalg/Passes.h b/mlir/include/mlir/Dialect/Linalg/Passes.h
index d36d1e70f0b14..f2955d55e59ec 100644
--- a/mlir/include/mlir/Dialect/Linalg/Passes.h
+++ b/mlir/include/mlir/Dialect/Linalg/Passes.h
@@ -22,10 +22,6 @@ namespace func {
class FuncOp;
} // namespace func
-namespace bufferization {
-struct OneShotBufferizationOptions;
-} // namespace bufferization
-
#define GEN_PASS_DECL
#include "mlir/Dialect/Linalg/Passes.h.inc" // IWYU pragma: keep
diff --git a/mlir/include/mlir/Dialect/Linalg/Passes.td b/mlir/include/mlir/Dialect/Linalg/Passes.td
index 0a4ce8953136d..0621a9f33ba1e 100644
--- a/mlir/include/mlir/Dialect/Linalg/Passes.td
+++ b/mlir/include/mlir/Dialect/Linalg/Passes.td
@@ -89,16 +89,6 @@ def LinalgInlineScalarOperandsPass : Pass<"linalg-inline-scalar-operands"> {
];
}
-def LinalgBufferizePass : Pass<"linalg-bufferize"> {
- let summary = "Bufferize the linalg dialect";
- let dependentDialects = [
- "affine::AffineDialect",
- "bufferization::BufferizationDialect",
- "linalg::LinalgDialect",
- "memref::MemRefDialect",
- ];
-}
-
def LinalgGeneralizeNamedOpsPass : Pass<"linalg-generalize-named-ops"> {
let summary = "Convert named ops into generic ops";
let dependentDialects = ["linalg::LinalgDialect"];
diff --git a/mlir/include/mlir/Dialect/Shape/Transforms/Passes.h b/mlir/include/mlir/Dialect/Shape/Transforms/Passes.h
index cfb637f133f54..28e17459ff962 100644
--- a/mlir/include/mlir/Dialect/Shape/Transforms/Passes.h
+++ b/mlir/include/mlir/Dialect/Shape/Transforms/Passes.h
@@ -47,13 +47,6 @@ void populateShapeRewritePatterns(RewritePatternSet &patterns);
void populateRemoveShapeConstraintsPatterns(RewritePatternSet &patterns);
std::unique_ptr<OperationPass<func::FuncOp>> createRemoveShapeConstraintsPass();
-// Bufferizes shape dialect ops.
-//
-// Note that most shape dialect ops must be converted to std before
-// bufferization happens, as they are intended to be bufferized at the std
-// level.
-std::unique_ptr<OperationPass<func::FuncOp>> createShapeBufferizePass();
-
/// Outline the shape computation part by adding shape.func and populate
/// conrresponding mapping infomation into ShapeMappingAnalysis.
std::unique_ptr<OperationPass<ModuleOp>> createOutlineShapeComputationPass();
diff --git a/mlir/include/mlir/Dialect/Shape/Transforms/Passes.td b/mlir/include/mlir/Dialect/Shape/Transforms/Passes.td
index 9dfda9ea33615..83834509b4a35 100644
--- a/mlir/include/mlir/Dialect/Shape/Transforms/Passes.td
+++ b/mlir/include/mlir/Dialect/Shape/Transforms/Passes.td
@@ -103,11 +103,4 @@ def ShapeToShapeLowering : Pass<"shape-to-shape-lowering", "func::FuncOp"> {
let constructor = "mlir::createShapeToShapeLowering()";
}
-// TODO: Generalize this to allow any type conversions desired.
-def ShapeBufferize : Pass<"shape-bufferize", "func::FuncOp"> {
- let summary = "Bufferize the shape dialect.";
- let constructor = "mlir::createShapeBufferizePass()";
- let dependentDialects = ["bufferization::BufferizationDialect",
- "memref::MemRefDialect"];
-}
#endif // MLIR_DIALECT_SHAPE_TRANSFORMS_PASSES
diff --git a/mlir/include/mlir/Dialect/Tensor/Transforms/Passes.h b/mlir/include/mlir/Dialect/Tensor/Transforms/Passes.h
index 48f9066934a25..964c35b3f15b8 100644
--- a/mlir/include/mlir/Dialect/Tensor/Transforms/Passes.h
+++ b/mlir/include/mlir/Dialect/Tensor/Transforms/Passes.h
@@ -21,9 +21,6 @@ namespace tensor {
/// Creates an instance of the `tensor` subset folding pass.
std::unique_ptr<Pass> createFoldTensorSubsetOpsPass();
-/// Creates an instance of the `tensor` dialect bufferization pass.
-std::unique_ptr<Pass> createTensorBufferizePass();
-
//===----------------------------------------------------------------------===//
// Registration
//===----------------------------------------------------------------------===//
diff --git a/mlir/include/mlir/Dialect/Tensor/Transforms/Passes.td b/mlir/include/mlir/Dialect/Tensor/Transforms/Passes.td
index 4cc3844f29120..be4c333836ec0 100644
--- a/mlir/include/mlir/Dialect/Tensor/Transforms/Passes.td
+++ b/mlir/include/mlir/Dialect/Tensor/Transforms/Passes.td
@@ -27,9 +27,4 @@ def FoldTensorSubsetOps : Pass<"fold-tensor-subset-ops"> {
];
}
-def TensorBufferize : Pass<"tensor-bufferize", "func::FuncOp"> {
- let summary = "Bufferize the `tensor` dialect";
- let constructor = "mlir::tensor::createTensorBufferizePass()";
-}
-
#endif // MLIR_DIALECT_TENSOR_TRANSFORMS_PASSES
diff --git a/mlir/include/mlir/Dialect/Vector/Transforms/Passes.h b/mlir/include/mlir/Dialect/Vector/Transforms/Passes.h
index 911402551e14d..5667f4fa95ace 100644
--- a/mlir/include/mlir/Dialect/Vector/Transforms/Passes.h
+++ b/mlir/include/mlir/Dialect/Vector/Transforms/Passes.h
@@ -17,9 +17,6 @@ namespace vector {
#define GEN_PASS_DECL
#include "mlir/Dialect/Vector/Transforms/Passes.h.inc"
-/// Creates an instance of the `vector` dialect bufferization pass.
-std::unique_ptr<Pass> createVectorBufferizePass();
-
/// Creates an instance of the `vector.mask` lowering pass.
std::unique_ptr<Pass> createLowerVectorMaskPass();
diff --git a/mlir/include/mlir/Dialect/Vector/Transforms/Passes.td b/mlir/include/mlir/Dialect/Vector/Transforms/Passes.td
index 31a0b3b2f0c53..7436998749791 100644
--- a/mlir/include/mlir/Dialect/Vector/Transforms/Passes.td
+++ b/mlir/include/mlir/Dialect/Vector/Transforms/Passes.td
@@ -11,11 +11,6 @@
include "mlir/Pass/PassBase.td"
-def VectorBufferize : Pass<"vector-bufferize", "func::FuncOp"> {
- let summary = "Bufferize Vector dialect ops";
- let constructor = "mlir::vector::createVectorBufferizePass()";
-}
-
def LowerVectorMaskPass : Pass<"lower-vector-mask", "func::FuncOp"> {
let summary = "Lower 'vector.mask' operations";
let constructor = "mlir::vector::createLowerVectorMaskPass()";
diff --git a/mlir/lib/Dialect/Arith/Transforms/Bufferize.cpp b/mlir/lib/Dialect/Arith/Transforms/Bufferize.cpp
deleted file mode 100644
index 9a066756f429c..0000000000000
--- a/mlir/lib/Dialect/Arith/Transforms/Bufferize.cpp
+++ /dev/null
@@ -1,67 +0,0 @@
-//===- Bufferize.cpp - Bufferization for Arith ops ---------*- C++ -*-===//
-//
-// 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/Arith/Transforms/Passes.h"
-
-#include "mlir/Dialect/Arith/IR/Arith.h"
-#include "mlir/Dialect/Arith/Transforms/BufferizableOpInterfaceImpl.h"
-#include "mlir/Dialect/Bufferization/IR/BufferizableOpInterface.h"
-#include "mlir/Dialect/Bufferization/IR/Bufferization.h"
-#include "mlir/Dialect/Bufferization/Transforms/Bufferize.h"
-#include "mlir/Dialect/MemRef/IR/MemRef.h"
-
-namespace mlir {
-namespace arith {
-#define GEN_PASS_DEF_ARITHBUFFERIZEPASS
-#include "mlir/Dialect/Arith/Transforms/Passes.h.inc"
-} // namespace arith
-} // namespace mlir
-
-using namespace mlir;
-using namespace bufferization;
-
-namespace {
-/// Pass to bufferize Arith ops.
-struct ArithBufferizePass
- : public arith::impl::ArithBufferizePassBase<ArithBufferizePass> {
- using ArithBufferizePassBase::ArithBufferizePassBase;
-
- ArithBufferizePass(uint64_t alignment = 0, bool constantOpOnly = false)
- : constantOpOnly(constantOpOnly) {
- this->alignment = alignment;
- }
-
- void runOnOperation() override {
- BufferizationOptions options = getPartialBufferizationOptions();
- if (constantOpOnly) {
- options.opFilter.allowOperation<arith::ConstantOp>();
- } else {
- options.opFilter.allowDialect<arith::ArithDialect>();
- }
- options.bufferAlignment = alignment;
-
- if (failed(bufferizeOp(getOperation(), options)))
- signalPassFailure();
- }
-
- void getDependentDialects(DialectRegistry ®istry) const override {
- registry.insert<bufferization::BufferizationDialect, memref::MemRefDialect,
- arith::ArithDialect>();
- arith::registerBufferizableOpInterfaceExternalModels(registry);
- }
-
-private:
- bool constantOpOnly;
-};
-} // namespace
-
-std::unique_ptr<Pass>
-mlir::arith::createConstantBufferizePass(uint64_t alignment) {
- return std::make_unique<ArithBufferizePass>(alignment,
- /*constantOpOnly=*/true);
-}
diff --git a/mlir/lib/Dialect/Arith/Transforms/CMakeLists.txt b/mlir/lib/Dialect/Arith/Transforms/CMakeLists.txt
index 12659eaba1fa5..6b8bde8dc2aaf 100644
--- a/mlir/lib/Dialect/Arith/Transforms/CMakeLists.txt
+++ b/mlir/lib/Dialect/Arith/Transforms/CMakeLists.txt
@@ -1,7 +1,6 @@
add_mlir_dialect_library(MLIRArithTransforms
BufferDeallocationOpInterfaceImpl.cpp
BufferizableOpInterfaceImpl.cpp
- Bufferize.cpp
BufferViewFlowOpInterfaceImpl.cpp
EmulateUnsupportedFloats.cpp
EmulateWideInt.cpp
diff --git a/mlir/lib/Dialect/Bufferization/Transforms/Bufferize.cpp b/mlir/lib/Dialect/Bufferization/Transforms/Bufferize.cpp
index 7ba347a1f15e4..0fddd60eb8140 100644
--- a/mlir/lib/Dialect/Bufferization/Transforms/Bufferize.cpp
+++ b/mlir/lib/Dialect/Bufferization/Transforms/Bufferize.cpp
@@ -320,29 +320,6 @@ struct OneShotBufferizePass
};
} // namespace
-namespace {
-struct BufferizationBufferizePass
- : public bufferization::impl::BufferizationBufferizeBase<
- BufferizationBufferizePass> {
- void runOnOperation() override {
- BufferizationOptions options = getPartialBufferizationOptions();
- options.opFilter.allowDialect<BufferizationDialect>();
-
- if (failed(bufferizeOp(getOperation(), options)))
- signalPassFailure();
- }
-
- void getDependentDialects(DialectRegistry ®istry) const override {
- registry
- .insert<bufferization::BufferizationDialect, memref::MemRefDialect>();
- }
-};
-} // namespace
-
-std::unique_ptr<Pass> mlir::bufferization::createBufferizationBufferizePass() {
- return std::make_unique<BufferizationBufferizePass>();
-}
-
std::unique_ptr<Pass> mlir::bufferization::createOneShotBufferizePass() {
return std::make_unique<OneShotBufferizePass>();
}
diff --git a/mlir/lib/Dialect/Linalg/Transforms/Bufferize.cpp b/mlir/lib/Dialect/Linalg/Transforms/Bufferize.cpp
deleted file mode 100644
index 8812ca14ba610..0000000000000
--- a/mlir/lib/Dialect/Linalg/Transforms/Bufferize.cpp
+++ /dev/null
@@ -1,52 +0,0 @@
-//===- Bufferize.cpp - Bufferization of linalg 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
-//
-//===----------------------------------------------------------------------===//
-
-#include "mlir/Dialect/Linalg/Passes.h"
-
-#include "mlir/Dialect/Affine/IR/AffineOps.h"
-#include "mlir/Dialect/Bufferization/IR/Bufferization.h"
-#include "mlir/Dialect/Bufferization/Transforms/Bufferize.h"
-#include "mlir/Dialect/Func/IR/FuncOps.h"
-#include "mlir/Dialect/Linalg/IR/Linalg.h"
-#include "mlir/Dialect/Linalg/Transforms/BufferizableOpInterfaceImpl.h"
-#include "mlir/Dialect/Linalg/Transforms/Transforms.h"
-#include "mlir/Dialect/Tensor/IR/Tensor.h"
-#include "mlir/IR/BuiltinDialect.h"
-#include "mlir/IR/Operation.h"
-#include "mlir/Pass/Pass.h"
-
-namespace mlir {
-#define GEN_PASS_DEF_LINALGBUFFERIZEPASS
-#include "mlir/Dialect/Linalg/Passes.h.inc"
-} // namespace mlir
-
-using namespace mlir;
-using namespace bufferization;
-
-namespace {
-/// Converts Linalg operations that work on tensor-type operands or results to
-/// work on buffers.
-struct LinalgBufferizePass
- : public impl::LinalgBufferizePassBase<LinalgBufferizePass> {
- using impl::LinalgBufferizePassBase<
- LinalgBufferizePass>::LinalgBufferizePassBase;
- void runOnOperation() override {
- BufferizationOptions options = getPartialBufferizationOptions();
- options.opFilter.allowDialect<linalg::LinalgDialect>();
-
- if (failed(bufferizeOp(getOperation(), options)))
- signalPassFailure();
- }
-
- void getDependentDialects(DialectRegistry ®istry) const override {
- registry.insert<bufferization::BufferizationDialect, memref::MemRefDialect,
- tensor::TensorDialect, linalg::LinalgDialect>();
- linalg::registerBufferizableOpInterfaceExternalModels(registry);
- }
-};
-} // namespace
diff --git a/mlir/lib/Dialect/Linalg/Transforms/CMakeLists.txt b/mlir/lib/Dialect/Linalg/Transforms/CMakeLists.txt
index ed9f40089282a..7e3dc56e0acdc 100644
--- a/mlir/lib/Dialect/Linalg/Transforms/CMakeLists.txt
+++ b/mlir/lib/Dialect/Linalg/Transforms/CMakeLists.txt
@@ -2,7 +2,6 @@ add_mlir_dialect_library(MLIRLinalgTransforms
AllInterfaces.cpp
BubbleUpExtractSlice.cpp
BufferizableOpInterfaceImpl.cpp
- Bufferize.cpp
ConstantFold.cpp
ConvertToDestinationStyle.cpp
ConvertConv2DToImg2Col.cpp
diff --git a/mlir/lib/Dialect/Shape/Transforms/Bufferize.cpp b/mlir/lib/Dialect/Shape/Transforms/Bufferize.cpp
deleted file mode 100644
index 9dadbdbc91eca..0000000000000
--- a/mlir/lib/Dialect/Shape/Transforms/Bufferize.cpp
+++ /dev/null
@@ -1,49 +0,0 @@
-//====----- Bufferize.cpp - Bufferization of shape ops ---------*- C++-*--===//
-//
-// 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/Shape/Transforms/Passes.h"
-
-#include "mlir/Dialect/Bufferization/IR/BufferizableOpInterface.h"
-#include "mlir/Dialect/Bufferization/IR/Bufferization.h"
-#include "mlir/Dialect/Bufferization/Transforms/Bufferize.h"
-#include "mlir/Dialect/Func/IR/FuncOps.h"
-#include "mlir/Dialect/MemRef/IR/MemRef.h"
-#include "mlir/Dialect/Shape/IR/Shape.h"
-#include "mlir/Dialect/Shape/Transforms/BufferizableOpInterfaceImpl.h"
-#include "mlir/Pass/Pass.h"
-
-namespace mlir {
-#define GEN_PASS_DEF_SHAPEBUFFERIZE
-#include "mlir/Dialect/Shape/Transforms/Passes.h.inc"
-} // namespace mlir
-
-using namespace mlir;
-using namespace bufferization;
-
-namespace {
-struct ShapeBufferizePass
- : public impl::ShapeBufferizeBase<ShapeBufferizePass> {
- void runOnOperation() override {
- BufferizationOptions options = getPartialBufferizationOptions();
- options.opFilter.allowDialect<shape::ShapeDialect>();
-
- if (failed(bufferizeOp(getOperation(), options)))
- signalPassFailure();
- }
-
- void getDependentDialects(DialectRegistry ®istry) const override {
- registry.insert<bufferization::BufferizationDialect, memref::MemRefDialect,
- shape::ShapeDialect>();
- shape::registerBufferizableOpInterfaceExternalModels(registry);
- }
-};
-} // namespace
-
-std::unique_ptr<OperationPass<func::FuncOp>> mlir::createShapeBufferizePass() {
- return std::make_unique<ShapeBufferizePass>();
-}
diff --git a/mlir/lib/Dialect/Shape/Transforms/CMakeLists.txt b/mlir/lib/Dialect/Shape/Transforms/CMakeLists.txt
index 7c9b0d2e5e3a8..a51c6780c2866 100644
--- a/mlir/lib/Dialect/Shape/Transforms/CMakeLists.txt
+++ b/mlir/lib/Dialect/Shape/Transforms/CMakeLists.txt
@@ -1,6 +1,5 @@
add_mlir_dialect_library(MLIRShapeOpsTransforms
BufferizableOpInterfaceImpl.cpp
- Bufferize.cpp
OutlineShapeComputation.cpp
RemoveShapeConstraints.cpp
ShapeToShapeLowering.cpp
diff --git a/mlir/lib/Dialect/Tensor/Transforms/Bufferize.cpp b/mlir/lib/Dialect/Tensor/Transforms/Bufferize.cpp
deleted file mode 100644
index d27c4576a8b7a..0000000000000
--- a/mlir/lib/Dialect/Tensor/Transforms/Bufferize.cpp
+++ /dev/null
@@ -1,58 +0,0 @@
-//===- 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/Arith/IR/Arith.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::ArithDialect>();
- tensor::registerBufferizableOpInterfaceExternalModels(registry);
- }
-};
-} // namespace
-
-std::unique_ptr<Pass> mlir::tensor::createTensorBufferizePass() {
- return std::make_unique<TensorBufferizePass>();
-}
diff --git a/mlir/lib/Dialect/Tensor/Transforms/CMakeLists.txt b/mlir/lib/Dialect/Tensor/Transforms/CMakeLists.txt
index 0aabdaf667b9d..ce32dea09bb0b 100644
--- a/mlir/lib/Dialect/Tensor/Transforms/CMakeLists.txt
+++ b/mlir/lib/Dialect/Tensor/Transforms/CMakeLists.txt
@@ -1,6 +1,5 @@
add_mlir_dialect_library(MLIRTensorTransforms
BufferizableOpInterfaceImpl.cpp
- Bufferize.cpp
ConcatOpPatterns.cpp
EmptyOpPatterns.cpp
ExtractSliceFromReshapeUtils.cpp
diff --git a/mlir/lib/Dialect/Vector/Transforms/Bufferize.cpp b/mlir/lib/Dialect/Vector/Transforms/Bufferize.cpp
deleted file mode 100644
index ee99a99b56109..0000000000000
--- a/mlir/lib/Dialect/Vector/Transforms/Bufferize.cpp
+++ /dev/null
@@ -1,55 +0,0 @@
-//===- Bufferize.cpp - Bufferization for `vector` 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 `vector` dialect ops
-//
-//===----------------------------------------------------------------------===//
-
-#include "mlir/Dialect/Bufferization/Transforms/Bufferize.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/Tensor/IR/Tensor.h"
-#include "mlir/Dialect/Vector/IR/VectorOps.h"
-#include "mlir/Dialect/Vector/Transforms/BufferizableOpInterfaceImpl.h"
-#include "mlir/Dialect/Vector/Transforms/Passes.h"
-
-namespace mlir {
-namespace vector {
-#define GEN_PASS_DEF_VECTORBUFFERIZE
-#include "mlir/Dialect/Vector/Transforms/Passes.h.inc"
-} // namespace vector
-} // namespace mlir
-
-using namespace mlir;
-using namespace bufferization;
-
-namespace {
-struct VectorBufferizePass
- : public vector::impl::VectorBufferizeBase<VectorBufferizePass> {
- void runOnOperation() override {
- BufferizationOptions options = getPartialBufferizationOptions();
- options.opFilter.allowDialect<vector::VectorDialect>();
-
- if (failed(bufferizeOp(getOperation(), options)))
- signalPassFailure();
- }
-
- void getDependentDialects(DialectRegistry ®istry) const override {
- registry.insert<bufferization::BufferizationDialect, memref::MemRefDialect,
- tensor::TensorDialect, vector::VectorDialect>();
- vector::registerBufferizableOpInterfaceExternalModels(registry);
- }
-};
-} // namespace
-
-std::unique_ptr<Pass> mlir::vector::createVectorBufferizePass() {
- return std::make_unique<VectorBufferizePass>();
-}
diff --git a/mlir/lib/Dialect/Vector/Transforms/CMakeLists.txt b/mlir/lib/Dialect/Vector/Transforms/CMakeLists.txt
index c4b6abd3e2361..4dbefdd376a8b 100644
--- a/mlir/lib/Dialect/Vector/Transforms/CMakeLists.txt
+++ b/mlir/lib/Dialect/Vector/Transforms/CMakeLists.txt
@@ -1,6 +1,5 @@
add_mlir_dialect_library(MLIRVectorTransforms
BufferizableOpInterfaceImpl.cpp
- Bufferize.cpp
LowerVectorBroadcast.cpp
LowerVectorContract.cpp
LowerVectorGather.cpp
diff --git a/mlir/test/Dialect/Arith/bufferize.mlir b/mlir/test/Dialect/Arith/bufferize.mlir
index 944954e9e4edd..a3b1454fb68f6 100644
--- a/mlir/test/Dialect/Arith/bufferize.mlir
+++ b/mlir/test/Dialect/Arith/bufferize.mlir
@@ -1,5 +1,4 @@
-// RUN: mlir-opt %s -arith-bufferize -split-input-file -verify-diagnostics | FileCheck %s
-// RUN: mlir-opt %s -arith-bufferize=alignment=64 -split-input-file -verify-diagnostics | FileCheck --check-prefix=ALIGNED %s
+// RUN: mlir-opt %s --one-shot-bufferize="dialect-filter=arith,bufferization copy-before-write unknown-type-conversion=identity-layout-map" -split-input-file -verify-diagnostics | FileCheck %s
// CHECK-LABEL: func @index_cast(
// CHECK-SAME: %[[TENSOR:.*]]: tensor<i32>, %[[SCALAR:.*]]: i32
@@ -22,10 +21,7 @@ func.func @index_cast(%tensor: tensor<i32>, %scalar: i32) -> (tensor<index>, ind
// The name isn't load-bearing though.
// CHECK: memref.global "private" constant @__constant_3x4xf32 : memref<3x4xf32> = dense<7.000000e+00>
-// CHECK-NOT: alignment
-
-// ALIGNED: memref.global "private" constant @__constant_3x4xf32 : memref<3x4xf32> = dense<7.000000e+00>
-// ALIGNED-SAME: {alignment = 64 : i64}
+// CHECK-SAME: {alignment = 64 : i64}
// CHECK: @basic
func.func @basic() -> tensor<3x4xf32> {
diff --git a/mlir/test/Dialect/Linalg/bufferize.mlir b/mlir/test/Dialect/Linalg/bufferize.mlir
index 29f27e6838e66..e8ab1184b1fd2 100644
--- a/mlir/test/Dialect/Linalg/bufferize.mlir
+++ b/mlir/test/Dialect/Linalg/bufferize.mlir
@@ -1,4 +1,4 @@
-// RUN: mlir-opt -linalg-bufferize -canonicalize -cse -split-input-file %s | FileCheck %s
+// RUN: mlir-opt --one-shot-bufferize="dialect-filter=linalg,bufferization copy-before-write unknown-type-conversion=identity-layout-map" -canonicalize -cse -split-input-file %s | FileCheck %s
#map0 = affine_map<(d0) -> (d0)>
@@ -189,31 +189,3 @@ func.func @bufferize_dot(%in: tensor<4xf32>, %out: tensor<f32>) -> tensor<f32> {
// CHECK: %[[OUT_TENSOR:.*]] = bufferization.to_tensor %[[ALLOC]] : memref<f32>
// CHECK: return %[[OUT_TENSOR]]
}
-
-// -----
-
-// This is a regression test. The linalg-bufferize pass should ignore all func
-// dialect ops.
-
-// CHECK-LABEL: func private @csum(tensor<6xi64>) -> tensor<6xi64>
-func.func private @csum(%arg0: tensor<6xi64>) -> tensor<6xi64>
-
-// CHECK: func public @main(%[[arg0:.*]]: tensor<2x3xi1>)
-// CHECK: %[[collapse:.*]] = tensor.collapse_shape %[[arg0]]
-// CHECK: %[[collapse_m:.*]] = bufferization.to_memref %[[collapse]]
-// CHECK: %[[alloc:.*]] = memref.alloc()
-// CHECK: linalg.generic {{.*}} ins(%[[collapse_m]] : memref<6xi1>) outs(%[[alloc]] : memref<6xi64>)
-// CHECK: %[[generic_t:.*]] = bufferization.to_tensor %[[alloc]]
-// CHECK: %[[call:.*]] = call @csum(%[[generic_t]])
-// CHECK: return %[[call]]
-func.func public @main(%arg0: tensor<2x3xi1>) -> tensor<6xi64> {
- %0 = tensor.collapse_shape %arg0 [[0, 1]] : tensor<2x3xi1> into tensor<6xi1>
- %1 = tensor.empty() : tensor<6xi64>
- %2 = linalg.generic {indexing_maps = [affine_map<(d0) -> (d0)>, affine_map<(d0) -> (d0)>], iterator_types = ["parallel"]} ins(%0 : tensor<6xi1>) outs(%1 : tensor<6xi64>) {
- ^bb0(%arg1: i1, %arg2: i64):
- %4 = arith.extui %arg1 : i1 to i64
- linalg.yield %4 : i64
- } -> tensor<6xi64>
- %3 = func.call @csum(%2) : (tensor<6xi64>) -> tensor<6xi64>
- return %3 : tensor<6xi64>
-}
diff --git a/mlir/test/Dialect/Shape/bufferize.mlir b/mlir/test/Dialect/Shape/bufferize.mlir
index 963a5e8bcf578..9f30a052208f0 100644
--- a/mlir/test/Dialect/Shape/bufferize.mlir
+++ b/mlir/test/Dialect/Shape/bufferize.mlir
@@ -1,4 +1,4 @@
-// RUN: mlir-opt -split-input-file -shape-bufferize <%s | FileCheck %s
+// RUN: mlir-opt -split-input-file --one-shot-bufferize="dialect-filter=shape,bufferization copy-before-write unknown-type-conversion=identity-layout-map allow-unknown-ops" <%s | FileCheck %s
// -----
diff --git a/mlir/test/Dialect/SparseTensor/sparse_lower.mlir b/mlir/test/Dialect/SparseTensor/sparse_lower.mlir
index 6112856fbf293..c27df00785522 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_lower.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_lower.mlir
@@ -4,8 +4,7 @@
// RUN: FileCheck %s --check-prefix=CHECK-MIR
//
// RUN: mlir-opt %s --sparse-reinterpret-map -sparsification --sparse-tensor-conversion --cse \
-// RUN: --func-bufferize --arith-bufferize \
-// RUN: --tensor-bufferize --finalizing-bufferize | \
+// RUN: --one-shot-bufferize="copy-before-write bufferize-function-boundaries function-boundary-type-conversion=identity-layout-map" | \
// RUN: FileCheck %s --check-prefix=CHECK-LIR
#CSR = #sparse_tensor.encoding<{map = (d0, d1) -> (d0 : dense, d1 : compressed)}>
diff --git a/mlir/test/Dialect/SparseTensor/sparse_lower_col.mlir b/mlir/test/Dialect/SparseTensor/sparse_lower_col.mlir
index 401da152a8bdb..9fbb9dd0a26d1 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_lower_col.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_lower_col.mlir
@@ -4,8 +4,7 @@
// RUN: FileCheck %s --check-prefix=CHECK-MIR
//
// RUN: mlir-opt %s --sparse-reinterpret-map -sparsification --sparse-tensor-conversion --cse \
-// RUN: --func-bufferize --arith-bufferize \
-// RUN: --tensor-bufferize --finalizing-bufferize | \
+// RUN: --one-shot-bufferize="copy-before-write bufferize-function-boundaries function-boundary-type-conversion=identity-layout-map" | \
// RUN: FileCheck %s --check-prefix=CHECK-LIR
#CSC = #sparse_tensor.encoding<{
diff --git a/mlir/test/Dialect/SparseTensor/sparse_lower_inplace.mlir b/mlir/test/Dialect/SparseTensor/sparse_lower_inplace.mlir
index d769876d8ee8e..a827360abb426 100644
--- a/mlir/test/Dialect/SparseTensor/sparse_lower_inplace.mlir
+++ b/mlir/test/Dialect/SparseTensor/sparse_lower_inplace.mlir
@@ -4,8 +4,7 @@
// RUN: FileCheck %s --check-prefix=CHECK-MIR
//
// RUN: mlir-opt %s --sparse-reinterpret-map -sparsification --sparse-tensor-conversion --cse \
-// RUN: --func-bufferize --arith-bufferize \
-// RUN: --tensor-bufferize --finalizing-bufferize | \
+// RUN: --one-shot-bufferize="copy-before-write bufferize-function-boundaries function-boundary-type-conversion=identity-layout-map" | \
// RUN: FileCheck %s --check-prefix=CHECK-LIR
#CSR = #sparse_tensor.encoding<{map = (d0, d1) -> (d0 : dense, d1 : compressed)}>
diff --git a/mlir/test/Dialect/Tensor/bufferize.mlir b/mlir/test/Dialect/Tensor/bufferize.mlir
index 4f553adcc500f..e85d9e740adf4 100644
--- a/mlir/test/Dialect/Tensor/bufferize.mlir
+++ b/mlir/test/Dialect/Tensor/bufferize.mlir
@@ -1,4 +1,4 @@
-// RUN: mlir-opt %s -tensor-bufferize -cse -split-input-file | FileCheck %s
+// RUN: mlir-opt %s --one-shot-bufferize="dialect-filter=tensor,bufferization copy-before-write unknown-type-conversion=identity-layout-map" -cse -split-input-file | FileCheck %s
// CHECK-LABEL: func @dim(
// CHECK-SAME: %[[TENSOR:.*]]: tensor<*xf32>,
diff --git a/mlir/test/Dialect/Vector/bufferize-invalid.mlir b/mlir/test/Dialect/Vector/bufferize-invalid.mlir
index 1ae3e312c868f..bcca50a0fe79a 100644
--- a/mlir/test/Dialect/Vector/bufferize-invalid.mlir
+++ b/mlir/test/Dialect/Vector/bufferize-invalid.mlir
@@ -1,5 +1,4 @@
-// RUN: mlir-opt %s -vector-bufferize -split-input-file -verify-diagnostics
-// | FileCheck %s
+// RUN: mlir-opt %s --one-shot-bufferize="dialect-filter=vector,bufferization copy-before-write unknown-type-conversion=identity-layout-map allow-unknown-ops" -split-input-file -verify-diagnostics
// CHECK-LABEL: func @mask(
func.func @mask(%t0: tensor<?xf32>, %val: vector<16xf32>, %idx: index, %m0: vector<16xi1>) -> tensor<?xf32> {
diff --git a/mlir/test/Dialect/Vector/bufferize.mlir b/mlir/test/Dialect/Vector/bufferize.mlir
index 6a6a8fa8938bc..3399f60a2c3bf 100644
--- a/mlir/test/Dialect/Vector/bufferize.mlir
+++ b/mlir/test/Dialect/Vector/bufferize.mlir
@@ -1,4 +1,4 @@
-// RUN: mlir-opt %s -vector-bufferize -split-input-file | FileCheck %s
+// RUN: mlir-opt %s --one-shot-bufferize="dialect-filter=vector,bufferization copy-before-write unknown-type-conversion=identity-layout-map" -split-input-file | FileCheck %s
// CHECK-LABEL: func @transfer_read(
// CHECK-SAME: %[[t:.*]]: tensor<?x?xf32>, %[[o1:.*]]: index, %[[o2:.*]]: index, %[[pad:.*]]: f32)
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