blob: 49e3b1d3f268a35747b0f05c9f97c7a9dffb9c82 [file] [log] [blame]
// RUN: mlir-opt %s -convert-linalg-to-parallel-loops -split-input-file | FileCheck %s
#map0 = affine_map<(d0, d1) -> (d0, d1)>
func @linalg_generic_sum(%lhs: memref<2x2xf32>,
%rhs: memref<2x2xf32>,
%sum: memref<2x2xf32>) {
linalg.generic {
indexing_maps = [#map0, #map0, #map0],
iterator_types = ["parallel", "parallel"]}
ins(%lhs, %rhs : memref<2x2xf32>, memref<2x2xf32>)
outs(%sum : memref<2x2xf32>) {
^bb0(%lhs_in: f32, %rhs_in: f32, %sum_out: f32): // no predecessors
%0 = arith.addf %lhs_in, %rhs_in : f32
linalg.yield %0 : f32
}
return
}
// CHECK-LABEL: @linalg_generic_sum
// CHECK: (%[[LHS:.*]]:{{.*}}, %[[RHS:.*]]:{{.*}}, %[[SUM:.*]]:{{.*}})
// CHECK-DAG: %[[C2:.*]] = arith.constant 2
// CHECK-DAG: %[[C0:.*]] = arith.constant 0
// CHECK-DAG: %[[C1:.*]] = arith.constant 1
// CHECK: scf.parallel (%[[I:.*]], %[[J:.*]]) = {{.*}}
// CHECK: %[[LHS_ELEM:.*]] = memref.load %[[LHS]][%[[I]], %[[J]]]
// CHECK: %[[RHS_ELEM:.*]] = memref.load %[[RHS]][%[[I]], %[[J]]]
// CHECK: %[[SUM:.*]] = arith.addf %[[LHS_ELEM]], %[[RHS_ELEM]] : f32
// CHECK: store %[[SUM]], %{{.*}}[%[[I]], %[[J]]]
// CHECK: scf.yield
// -----
#accesses = [
affine_map<(d0, d1, d2, d3) -> (d0, d1, d2, d3)>,
affine_map<(d0, d1, d2, d3) -> (d0, d1, d3)>
]
#trait = {
iterator_types = ["parallel", "parallel", "reduction", "parallel"],
indexing_maps = #accesses
}
func @lower_outer_parallel(%A: memref<?x?x?x?xf32>, %B: memref<?x?x?xf32>) {
linalg.generic #trait
ins(%A : memref<?x?x?x?xf32>)
outs(%B : memref<?x?x?xf32>) {
^bb0(%a: f32, %b: f32):
linalg.yield %a: f32
}
return
}
// CHECK-LABEL: @lower_outer_parallel
// CHECK-DAG: %[[C0:.*]] = arith.constant 0
// CHECK-DAG: %[[C1:.*]] = arith.constant 1
// CHECK-DAG: %[[D0:.*]] = memref.dim %{{.*}}, %c0
// CHECK-DAG: %[[D1:.*]] = memref.dim %{{.*}}, %c1
// CHECK-DAG: %[[D2:.*]] = memref.dim %{{.*}}, %c2
// CHECK-DAG: %[[D3:.*]] = memref.dim %{{.*}}, %c3
// CHECK: scf.parallel (%[[IV0:.*]], %[[IV1:.*]]) = (%[[C0]], %[[C0]]) to (%[[D0]], %[[D1]]) step (%[[C1]], %[[C1]])
// CHECK: scf.for %[[IV2:.*]] = %[[C0]] to %[[D2]] step %[[C1]]
// CHECK: scf.parallel (%[[IV3:.*]]) = (%[[C0]]) to (%[[D3]]) step (%[[C1]])
// CHECK: memref.load %{{.*}}[%[[IV0]], %[[IV1]], %[[IV2]], %[[IV3]]]
// CHECK: store %{{.*}}, %{{.*}}[%[[IV0]], %[[IV1]], %[[IV3]]]
// -----
#accesses = [
affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d2, d3, d4, d5)>,
affine_map<(d0, d1, d2, d3, d4, d5) -> (d0, d1, d4, d3)>
]
#trait = {
iterator_types = ["parallel", "parallel", "reduction", "parallel", "parallel", "reduction"],
indexing_maps = #accesses
}
func @lower_mixed_parallel(%A: memref<?x?x?x?x?x?xf32>, %B: memref<?x?x?x?xf32>) {
linalg.generic #trait
ins(%A : memref<?x?x?x?x?x?xf32>)
outs(%B : memref<?x?x?x?xf32>) {
^bb0(%a: f32, %b: f32):
linalg.yield %a: f32
}
return
}
// CHECK-LABEL: @lower_mixed_parallel
// CHECK-DAG: %[[C0:.*]] = arith.constant 0
// CHECK-DAG: %[[C1:.*]] = arith.constant 1
// CHECK-DAG: %[[D0:.*]] = memref.dim %{{.*}}, %c0
// CHECK-DAG: %[[D1:.*]] = memref.dim %{{.*}}, %c1
// CHECK-DAG: %[[D2:.*]] = memref.dim %{{.*}}, %c2
// CHECK-DAG: %[[D3:.*]] = memref.dim %{{.*}}, %c3
// CHECK-DAG: %[[D4:.*]] = memref.dim %{{.*}}, %c4
// CHECK-DAG: %[[D5:.*]] = memref.dim %{{.*}}, %c5
// CHECK: scf.parallel (%[[IV0:.*]], %[[IV1:.*]]) = (%[[C0]], %[[C0]]) to (%[[D0]], %[[D1]]) step (%[[C1]], %[[C1]])
// CHECK: scf.for %[[IV2:.*]] = %[[C0]] to %[[D2]] step %[[C1]]
// CHECK: scf.parallel (%[[IV3:.*]], %[[IV4:.*]]) = (%[[C0]], %[[C0]]) to (%[[D3]], %[[D4]]) step (%[[C1]], %[[C1]])
// CHECK: scf.for %[[IV5:.*]] = %[[C0]] to %[[D5]] step %[[C1]]
// CHECK: memref.load %{{.*}}[%[[IV0]], %[[IV1]], %[[IV2]], %[[IV3]], %[[IV4]], %[[IV5]]]
// CHECK: store %{{.*}}, %{{.*}}[%[[IV0]], %[[IV1]], %[[IV4]], %[[IV3]]]