Files
clang-p2996/mlir/test/Dialect/MemRef/make-loop-independent.mlir
Oleksandr "Alex" Zinenko e4384149b5 [mlir] use transform-interpreter in test passes (#70040)
Update most test passes to use the transform-interpreter pass instead of
the test-transform-dialect-interpreter-pass. The new "main" interpreter
pass has a named entry point instead of looking up the top-level op with
`PossibleTopLevelOpTrait`, which is arguably a more understandable
interface. The change is mechanical, rewriting an unnamed sequence into
a named one and wrapping the transform IR in to a module when necessary.

Add an option to the transform-interpreter pass to target a tagged
payload op instead of the root anchor op, which is also useful for repro
generation.

Only the test in the transform dialect proper and the examples have not
been updated yet. These will be updated separately after a more careful
consideration of testing coverage of the transform interpreter logic.
2023-10-24 16:12:34 +02:00

79 lines
3.6 KiB
MLIR

// RUN: mlir-opt %s -allow-unregistered-dialect \
// RUN: -transform-interpreter -canonicalize \
// RUN: -split-input-file -verify-diagnostics | FileCheck %s
// CHECK: #[[$map:.*]] = affine_map<()[s0] -> (s0 - 1)>
// CHECK-LABEL: func @make_alloca_loop_independent(
// CHECK-SAME: %[[lb:.*]]: index, %[[ub:.*]]: index, %[[step:.*]]: index)
func.func @make_alloca_loop_independent(%lb: index, %ub: index, %step: index) {
%cst = arith.constant 5.5 : f32
%c0 = arith.constant 0 : index
// CHECK: scf.for %[[iv:.*]] = %[[lb]] to %[[ub]]
scf.for %i = %lb to %ub step %step {
// CHECK: %[[sz:.*]] = affine.apply #[[$map]]()[%[[ub]]]
// CHECK: %[[alloca:.*]] = memref.alloca(%[[sz]])
// CHECK: %[[subview:.*]] = memref.subview %[[alloca]][0] [%[[iv]]] [1] : memref<?xf32> to memref<?xf32, strided<[1]>>
// CHECK: %[[cast:.*]] = builtin.unrealized_conversion_cast %[[subview]] : memref<?xf32, strided<[1]>> to memref<?xf32>
%alloc = memref.alloca(%i) : memref<?xf32>
// memref.subview has special handling.
// CHECK: %[[subview2:.*]] = memref.subview %[[subview]][1] [5] [1] : memref<?xf32, strided<[1]>> to memref<5xf32, strided<[1], offset: 1>>
%view = memref.subview %alloc[1][5][1] : memref<?xf32> to memref<5xf32, strided<[1], offset: 1>>
// This op takes a memref but does not produce one. The new alloc is used
// directly.
// CHECK: "test.some_use"(%[[subview2]])
"test.some_use"(%view) : (memref<5xf32, strided<[1], offset: 1>>) -> ()
// This op produces a memref, so the new alloc cannot be used directly.
// It is wrapped in a unrealized_conversion_cast.
// CHECK: "test.another_use"(%[[cast]]) : (memref<?xf32>) -> memref<?xf32>
"test.another_use"(%alloc) : (memref<?xf32>) -> (memref<?xf32>)
// CHECK: memref.store %{{.*}}, %[[subview]]
memref.store %cst, %alloc[%c0] : memref<?xf32>
}
return
}
module attributes {transform.with_named_sequence} {
transform.named_sequence @__transform_main(%arg1: !transform.any_op {transform.readonly}) {
%0 = transform.structured.match ops{["memref.alloca"]} in %arg1 : (!transform.any_op) -> !transform.any_op
%1 = transform.memref.make_loop_independent %0 {num_loops = 1} : (!transform.any_op) -> !transform.any_op
transform.yield
}
}
// -----
// CHECK: #[[$map:.*]] = affine_map<(d0) -> (-d0 + 128)>
// CHECK-LABEL: func @make_alloca_loop_independent_static(
func.func @make_alloca_loop_independent_static(%step: index) {
%cst = arith.constant 5.5 : f32
%c0 = arith.constant 0 : index
%ub = arith.constant 128 : index
// CHECK: scf.for %[[iv:.*]] =
scf.for %i = %c0 to %ub step %step {
// CHECK: %[[sz:.*]] = affine.apply #[[$map]](%[[iv]])
%sz = affine.apply affine_map<(d0)[s0] -> (-d0 + s0)>(%i)[%ub]
// CHECK: %[[alloca:.*]] = memref.alloca() : memref<128xf32>
// CHECK: %[[subview:.*]] = memref.subview %[[alloca]][0] [%[[sz]]] [1] : memref<128xf32> to memref<?xf32, strided<[1]>>
%alloc = memref.alloca(%sz) : memref<?xf32>
// CHECK: memref.store %{{.*}}, %[[subview]]
memref.store %cst, %alloc[%c0] : memref<?xf32>
// CHECK: vector.print %[[sz]]
%dim = memref.dim %alloc, %c0 : memref<?xf32>
vector.print %dim : index
}
return
}
module attributes {transform.with_named_sequence} {
transform.named_sequence @__transform_main(%arg1: !transform.any_op {transform.readonly}) {
%0 = transform.structured.match ops{["memref.alloca"]} in %arg1 : (!transform.any_op) -> !transform.any_op
%1 = transform.memref.make_loop_independent %0 {num_loops = 1} : (!transform.any_op) -> !transform.any_op
transform.yield
}
}