xref: /llvm-project/mlir/test/Dialect/Vector/bufferize.mlir (revision ced2fc7819d5ddea616ec330f18e08ff284c1868)
1// 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
2
3// CHECK-LABEL: func @transfer_read(
4//  CHECK-SAME:     %[[t:.*]]: tensor<?x?xf32>, %[[o1:.*]]: index, %[[o2:.*]]: index, %[[pad:.*]]: f32)
5//       CHECK:   %[[m:.*]] = bufferization.to_memref %[[t]] : tensor<?x?xf32> to memref<?x?xf32>
6//       CHECK:   %[[r:.*]] = vector.transfer_read %[[m]][%[[o1]], %[[o2]]], %[[pad]] {in_bounds = [true, false]} : memref<?x?xf32>, vector<5x6xf32>
7//       CHECK:   return %[[r]]
8func.func @transfer_read(%t: tensor<?x?xf32>, %o1: index,
9                    %o2: index, %pad: f32) -> vector<5x6xf32> {
10  %0 = vector.transfer_read %t[%o1, %o2], %pad {in_bounds = [true, false]}
11      : tensor<?x?xf32>, vector<5x6xf32>
12  return %0 : vector<5x6xf32>
13}
14
15// -----
16
17// CHECK-LABEL: func @transfer_write(
18//  CHECK-SAME:     %[[t:.*]]: tensor<?x?xf32>, %[[o1:.*]]: index, %[[o2:.*]]: index, %[[vec:.*]]: vector<5x6xf32>, %[[mask:.*]]: vector<5x6xi1>)
19//       CHECK:   %[[m:.*]] = bufferization.to_memref %[[t]] : tensor<?x?xf32> to memref<?x?xf32>
20//       CHECK:   %[[alloc:.*]] = memref.alloc(%{{.*}}, %{{.*}}) {{.*}} : memref<?x?xf32>
21//       CHECK:   memref.copy %[[m]], %[[alloc]]
22//       CHECK:   vector.transfer_write %[[vec]], %[[alloc]][%[[o1]], %[[o2]]], %[[mask]] {in_bounds = [true, false]} : vector<5x6xf32>, memref<?x?xf32>
23//       CHECK:   %[[r:.*]] = bufferization.to_tensor %[[alloc]] : memref<?x?xf32>
24//       CHECK:   return %[[r]]
25func.func @transfer_write(%t: tensor<?x?xf32>, %o1: index,
26                          %o2: index, %vec: vector<5x6xf32>,
27                          %mask: vector<5x6xi1>) -> tensor<?x?xf32> {
28  %0 = vector.transfer_write %vec, %t[%o1, %o2], %mask {in_bounds = [true, false]}
29      : vector<5x6xf32>, tensor<?x?xf32>
30  return %0 : tensor<?x?xf32>
31}
32
33// -----
34
35// CHECK-LABEL: func @gather(
36//  CHECK-SAME:     %[[base:.*]]: tensor<?x?xf32>, %[[v:.*]]: vector<16xi32>,
37//  CHECK-SAME:     %[[mask:.*]]: vector<16xi1>, %[[pass_thru:.*]]: vector<16xf32>)
38//       CHECK:   %[[m:.*]] = bufferization.to_memref %[[base]] : tensor<?x?xf32> to memref<?x?xf32>
39//       CHECK:   %[[c0:.*]] = arith.constant 0 : index
40//       CHECK:   %[[out:.*]] = vector.gather %[[m]][%[[c0]], %[[c0]]] [%[[v]]], %[[mask]], %[[pass_thru]] : memref<?x?xf32>, vector<16xi32>, vector<16xi1>, vector<16xf32> into vector<16xf32>
41func.func @gather(%base: tensor<?x?xf32>, %v: vector<16xi32>, %mask: vector<16xi1>, %pass_thru: vector<16xf32>) -> vector<16xf32> {
42  %c0 = arith.constant 0 : index
43  %0 = vector.gather %base[%c0, %c0][%v], %mask, %pass_thru : tensor<?x?xf32>, vector<16xi32>, vector<16xi1>, vector<16xf32> into vector<16xf32>
44  return %0 : vector<16xf32>
45}
46
47// TODO: Add test case for vector.mask. The masked op can currently not
48// bufferize out-of-place, so the only test case is in one-shot-bufferize.mlir.
49