torch-mlir/test/RefBackend/lower-alloc-memref-ops.mlir

32 lines
1.1 KiB
MLIR

// RUN: npcomp-opt -split-input-file -lower-alloc-memref-ops <%s | FileCheck %s
// CHECK-LABEL: func @basic
func @basic(%arg0: tensor<?xindex>) -> memref<?xf32> {
// CHECK: %[[I:.*]] = constant 0 : index
// CHECK: %[[E:.*]] = shape.get_extent %arg0, %[[I]]
// CHECK: alloc(%[[E]])
%0 = refback.alloc_memref %arg0 : memref<?xf32>
return %0 : memref<?xf32>
}
// -----
// CHECK-LABEL: func @all_static
func @all_static(%arg0: tensor<?xindex>) -> memref<3x4x5xf32> {
// CHECK-NOT: shape.get_extent
// CHECK: alloc()
%0 = refback.alloc_memref %arg0 : memref<3x4x5xf32>
return %0 : memref<3x4x5xf32>
}
// -----
// CHECK-LABEL: func @some_static
func @some_static(%arg0: tensor<?xindex>) -> memref<3x?x5x?x7xf32> {
// CHECK-DAG: %[[I1:.*]] = constant 1 : index
// CHECK-DAG: %[[E1:.*]] = shape.get_extent %arg0, %[[I1]]
// CHECK-DAG: %[[I3:.*]] = constant 3 : index
// CHECK-DAG: %[[E3:.*]] = shape.get_extent %arg0, %[[I3]]
// CHECK: alloc(%[[E1]], %[[E3]])
%0 = refback.alloc_memref %arg0 : memref<3x?x5x?x7xf32>
return %0 : memref<3x?x5x?x7xf32>
}