[Mlir-commits] [mlir] [mlir][bufferization] Generalize tensor slice rules to subset ops (PR #65619)
Martin Erhart
llvmlistbot at llvm.org
Tue Sep 12 03:59:01 PDT 2023
================
@@ -0,0 +1,118 @@
+//===-- SubsetOpInterface.td - Tensor subsets --------------*- tablegen -*-===//
+//
+// 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 SUBSET_OP_INTERFACE
+#define SUBSET_OP_INTERFACE
+
+include "mlir/IR/OpBase.td"
+
+def SubsetOpInterface : OpInterface<"SubsetOpInterface"> {
+ let description = [{
+ This interface can be implemented by ops that insert a source tensor into
+ a destination tensor.
+
+ The elements in the destination tensor that are overwritten by this
+ insertion are called the "subset". How the subset is defined is up to the
+ op. E.g., "tensor.insert_slice" defines the subset via a hyperrectangular
+ slice. A scatter operation could define the subset via a list of indices.
+
+ Ops that deal with tensor subsets come in two flavours:
+ - Insertion flavor: Ops that insert a source tensor into a destination
+ tensor at the specified subset. Such ops usually return a new destination
+ tensor and implement the `DestinationStyleOpInterface`. Insertion ops can
+ implement the `SubsetOpInterface`. Example: "tensor.insert_slice"
+ - Extraction flavor: Ops that define a tensor subset. They extract a
+ specified subset from a tensor. There is currently no op interface for
+ such ops. Example: "tensor.extract_slice"
+
+ This interface provides helper methods for efficient bufferization of
+ subset-based tensor IR. Tensor subsets can bufferize to buffer "views"/
+ "aliases" (in contrast to one or multiple less efficient buffer allocation).
+
+ This interface is queried by One-Shot Bufferize to detect cases where a
+ seeming read-after-write is not actually a conflict because the respective
+ ops are operating on equivalent subsets. More details can be found in the
+ documentation of One-Shot Analysis.
+
+ Note: This interface currently assumes that a subset op inserts a single
+ tensor (source) into a destination tensor at a single subset.
+ }];
+ let cppNamespace = "::mlir::bufferization";
+ let methods = [
+ InterfaceMethod<
+ /*desc=*/[{
+ Return the source tensor operand.
+ }],
+ /*retType=*/"::mlir::OpOperand &",
+ /*methodName=*/"getSourceOperand",
+ /*args=*/(ins)
+ >,
+ InterfaceMethod<
+ /*desc=*/[{
+ Return the destination tensor operand.
+ }],
+ /*retType=*/"::mlir::OpOperand &",
+ /*methodName=*/"getDestinationOperand",
+ /*args=*/(ins),
+ /*methodBody=*/"",
+ /*defaultImplementation=*/[{
+ return ::mlir::bufferization::detail::defaultGetDestinationOperand(
+ $_op.getOperation());
+ }]
+ >,
+ InterfaceMethod<
+ /*desc=*/[{
+ Return "true" if this operation inserts into a subset that is
+ equivalent to the subset defined by `candidate`.
+
+ Two subsets are "equivalent" and "same" if they can bufferize to the
+ same buffer views/aliases. If they are "equivalent", the tensor IR
+ may be expressed in terms of different SSA values (but they could
+ bufferize to MemRef SSA values that can CSE without breaking
+ correctness). `equivalenceFn` should return "true" if the two given
+ values are equivalent.
+
+ Example:
+ ```
+ // The subset of the SubsetOpInterface op %1 is equivalent to the
+ // subset defined by %2 (but not "same"):
+ %0 = arith.select %c, %t, %t : tensor<?xf32>
+ %1 = tensor.insert_slice %x into %0[0][5][1]
+ : tensor<5xf32> into tensor<?xf32>
+ %2 = tensor.extract_slice %t[0][5][1] : tensor<?xf32> to tensor<5xf32>
+
+ // The subset of the SubsetOpInterface op %1 is equivalent to and
+ // "same" as the subset defined by %2.
+ %1 = tensor.insert_slice %x into %t[0][5][1]
+ : tensor<5xf32> into tensor<?xf32>
+ %2 = tensor.extract_slice %t[0][5][1] : tensor<?xf32> to tensor<5xf32>
+ ```
+ }],
+ /*retType=*/"bool",
+ /*methodName=*/"isEquivalentSubset",
+ /*args=*/(ins
+ "::mlir::Value":$candidate,
+ "::llvm::function_ref<bool(Value, Value)>":$equivalenceFn)
+ >,
+ ];
+
+ let extraClassDeclaration = [{
+ /// Return "true" if this operation inserts into the same subset as defined
+ /// by `candidate`.
+ ///
+ /// Note: This function is useful outside of bufferization, where no tensor
+ /// equivalence information is available.
+ bool isSameSubset(OpResult candidate) {
+ return cast<::mlir::bufferization::SubsetOpInterface>(getOperation())
+ .isEquivalentSubset(candidate,
+ [](Value v1, Value v2) { return v1 == v2; });
+ }
+ }];
+}
+
+#endif // INFER_DESTINATION_OP_INTERFACE
----------------
maerhart wrote:
```suggestion
#endif // SUBSET_OP_INTERFACE
```
https://github.com/llvm/llvm-project/pull/65619
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