// RUN: mlir-opt %s | mlir-opt | FileCheck %s // RUN: mlir-opt %s --mlir-print-op-generic | mlir-opt | FileCheck %s // CHECK-DAG: #[[$strided2D:.*]] = affine_map<(d0, d1)[s0, s1] -> (d0 * s1 + s0 + d1)> // CHECK-DAG: #[[$strided3D:.*]] = affine_map<(d0, d1, d2)[s0, s1, s2] -> (d0 * s1 + s0 + d1 * s2 + d2)> // CHECK-DAG: #[[$strided2DOFF0:.*]] = affine_map<(d0, d1)[s0] -> (d0 * s0 + d1)> // CHECK-DAG: #[[$strided3DOFF0:.*]] = affine_map<(d0, d1, d2)[s0, s1] -> (d0 * s0 + d1 * s1 + d2)> // CHECK-DAG: #[[$strided2D42:.*]] = affine_map<(d0, d1) -> (d0 * 42 + d1)> // CHECK-LABEL: func @memref_reinterpret_cast func @memref_reinterpret_cast(%in: memref) -> memref<10x?xf32, offset: ?, strides: [?, 1]> { %c0 = arith.constant 0 : index %c10 = arith.constant 10 : index %out = memref.reinterpret_cast %in to offset: [%c0], sizes: [10, %c10], strides: [%c10, 1] : memref to memref<10x?xf32, offset: ?, strides: [?, 1]> return %out : memref<10x?xf32, offset: ?, strides: [?, 1]> } // CHECK-LABEL: func @memref_reinterpret_cast_static_to_dynamic_sizes func @memref_reinterpret_cast_static_to_dynamic_sizes(%in: memref) -> memref<10x?xf32, offset: ?, strides: [?, 1]> { %out = memref.reinterpret_cast %in to offset: [1], sizes: [10, 10], strides: [1, 1] : memref to memref<10x?xf32, offset: ?, strides: [?, 1]> return %out : memref<10x?xf32, offset: ?, strides: [?, 1]> } // CHECK-LABEL: func @memref_reinterpret_cast_dynamic_offset func @memref_reinterpret_cast_dynamic_offset(%in: memref, %offset: index) -> memref<10x?xf32, offset: ?, strides: [?, 1]> { %out = memref.reinterpret_cast %in to offset: [%offset], sizes: [10, 10], strides: [1, 1] : memref to memref<10x?xf32, offset: ?, strides: [?, 1]> return %out : memref<10x?xf32, offset: ?, strides: [?, 1]> } // CHECK-LABEL: func @memref_reshape( func @memref_reshape(%unranked: memref<*xf32>, %shape1: memref<1xi32>, %shape2: memref<2xi32>, %shape3: memref) -> memref<*xf32> { %dyn_vec = memref.reshape %unranked(%shape1) : (memref<*xf32>, memref<1xi32>) -> memref %dyn_mat = memref.reshape %dyn_vec(%shape2) : (memref, memref<2xi32>) -> memref %new_unranked = memref.reshape %dyn_mat(%shape3) : (memref, memref) -> memref<*xf32> return %new_unranked : memref<*xf32> } // CHECK-LABEL: memref.global @memref0 : memref<2xf32> memref.global @memref0 : memref<2xf32> // CHECK-LABEL: memref.global constant @memref1 : memref<2xf32> = dense<[0.000000e+00, 1.000000e+00]> memref.global constant @memref1 : memref<2xf32> = dense<[0.0, 1.0]> // CHECK-LABEL: memref.global @memref2 : memref<2xf32> = uninitialized memref.global @memref2 : memref<2xf32> = uninitialized // CHECK-LABEL: memref.global "private" @memref3 : memref<2xf32> = uninitialized memref.global "private" @memref3 : memref<2xf32> = uninitialized // CHECK-LABEL: memref.global "private" constant @memref4 : memref<2xf32> = uninitialized memref.global "private" constant @memref4 : memref<2xf32> = uninitialized // CHECK-LABEL: func @write_global_memref func @write_global_memref() { %0 = memref.get_global @memref0 : memref<2xf32> %1 = arith.constant dense<[1.0, 2.0]> : tensor<2xf32> memref.tensor_store %1, %0 : memref<2xf32> return } // CHECK-LABEL: func @read_global_memref func @read_global_memref() { %0 = memref.get_global @memref0 : memref<2xf32> return } // CHECK-LABEL: func @memref_copy func @memref_copy() { %0 = memref.alloc() : memref<2xf32> %1 = memref.cast %0 : memref<2xf32> to memref<*xf32> %2 = memref.alloc() : memref<2xf32> %3 = memref.cast %0 : memref<2xf32> to memref<*xf32> memref.copy %1, %3 : memref<*xf32> to memref<*xf32> return } // CHECK-LABEL: func @memref_dealloc func @memref_dealloc() { %0 = memref.alloc() : memref<2xf32> %1 = memref.cast %0 : memref<2xf32> to memref<*xf32> memref.dealloc %1 : memref<*xf32> return } // CHECK-LABEL: func @memref_alloca_scope func @memref_alloca_scope() { memref.alloca_scope { memref.alloca_scope.return } return } // CHECK-LABEL: func @expand_collapse_shape_static func @expand_collapse_shape_static( %arg0: memref<3x4x5xf32>, %arg1: tensor<3x4x5xf32>, %arg2: tensor<3x?x5xf32>, %arg3: memref<30x20xf32, offset : 100, strides : [4000, 2]>, %arg4: memref<1x5xf32, affine_map<(d0, d1)[s0] -> (d0 * 5 + s0 + d1)>>, %arg5: memref, %arg6: memref<3x4x5xf32, offset: 0, strides: [240, 60, 10]>, %arg7: memref<1x2049xi64, affine_map<(d0, d1)[s0, s1, s2] -> (d0 * s1 + s0 + d1 * s2)>>) { // Reshapes that collapse and expand back a contiguous buffer. // CHECK: memref.collapse_shape {{.*}} {{\[}}[0, 1], [2]] // CHECK-SAME: memref<3x4x5xf32> into memref<12x5xf32> %0 = memref.collapse_shape %arg0 [[0, 1], [2]] : memref<3x4x5xf32> into memref<12x5xf32> // CHECK: memref.expand_shape {{.*}} {{\[}}[0, 1], [2]] // CHECK-SAME: memref<12x5xf32> into memref<3x4x5xf32> %r0 = memref.expand_shape %0 [[0, 1], [2]] : memref<12x5xf32> into memref<3x4x5xf32> // CHECK: memref.collapse_shape {{.*}} {{\[}}[0], [1, 2]] // CHECK-SAME: memref<3x4x5xf32> into memref<3x20xf32> %1 = memref.collapse_shape %arg0 [[0], [1, 2]] : memref<3x4x5xf32> into memref<3x20xf32> // CHECK: memref.expand_shape {{.*}} {{\[}}[0], [1, 2]] // CHECK-SAME: memref<3x20xf32> into memref<3x4x5xf32> %r1 = memref.expand_shape %1 [[0], [1, 2]] : memref<3x20xf32> into memref<3x4x5xf32> // CHECK: memref.collapse_shape {{.*}} {{\[}}[0, 1, 2]] // CHECK-SAME: memref<3x4x5xf32> into memref<60xf32> %2 = memref.collapse_shape %arg0 [[0, 1, 2]] : memref<3x4x5xf32> into memref<60xf32> // CHECK: memref.expand_shape {{.*}} {{\[}}[0, 1, 2]] // CHECK-SAME: memref<60xf32> into memref<3x4x5xf32> %r2 = memref.expand_shape %2 [[0, 1, 2]] : memref<60xf32> into memref<3x4x5xf32> // CHECK: memref.expand_shape {{.*}} [] // CHECK-SAME: memref into memref<1x1xf32> %r5 = memref.expand_shape %arg5 [] : memref into memref<1x1xf32> // Reshapes with a custom layout map. // CHECK: memref.expand_shape {{.*}} {{\[}}[0], [1, 2]] %l0 = memref.expand_shape %arg3 [[0], [1, 2]] : memref<30x20xf32, offset : 100, strides : [4000, 2]> into memref<30x4x5xf32, offset : 100, strides : [4000, 10, 2]> // CHECK: memref.expand_shape {{.*}} {{\[}}[0, 1], [2]] %l1 = memref.expand_shape %arg3 [[0, 1], [2]] : memref<30x20xf32, offset : 100, strides : [4000, 2]> into memref<2x15x20xf32, offset : 100, strides : [60000, 4000, 2]> // CHECK: memref.expand_shape {{.*}} {{\[}}[0], [1, 2]] %r4 = memref.expand_shape %arg4 [[0], [1, 2]] : memref<1x5xf32, affine_map<(d0, d1)[s0] -> (d0 * 5 + s0 + d1)>> into memref<1x1x5xf32, affine_map<(d0, d1, d2)[s0] -> (d0 * 5 + s0 + d2 + d1 * 5)>> // Note: Only the collapsed two shapes are contiguous in the follow test case. // CHECK: memref.collapse_shape {{.*}} {{\[}}[0, 1], [2]] %r6 = memref.collapse_shape %arg6 [[0, 1], [2]] : memref<3x4x5xf32, offset: 0, strides: [240, 60, 10]> into memref<12x5xf32, offset: 0, strides: [60, 10]> // CHECK: memref.collapse_shape {{.*}} {{\[}}[0, 1]] %r7 = memref.collapse_shape %arg7 [[0, 1]] : memref<1x2049xi64, affine_map<(d0, d1)[s0, s1, s2] -> (d0 * s1 + s0 + d1 * s2)>> into memref<2049xi64, affine_map<(d0)[s0, s1] -> (d0 * s1 + s0)>> // Reshapes that expand and collapse back a contiguous buffer with some 1's. // CHECK: memref.expand_shape {{.*}} {{\[}}[0, 1], [2], [3, 4]] // CHECK-SAME: memref<3x4x5xf32> into memref<1x3x4x1x5xf32> %3 = memref.expand_shape %arg0 [[0, 1], [2], [3, 4]] : memref<3x4x5xf32> into memref<1x3x4x1x5xf32> // CHECK: memref.collapse_shape {{.*}} {{\[}}[0, 1], [2], [3, 4]] // CHECK-SAME: memref<1x3x4x1x5xf32> into memref<3x4x5xf32> %r3 = memref.collapse_shape %3 [[0, 1], [2], [3, 4]] : memref<1x3x4x1x5xf32> into memref<3x4x5xf32> // Reshapes on tensors. // CHECK: tensor.expand_shape {{.*}}: tensor<3x4x5xf32> into tensor<1x3x4x1x5xf32> %t0 = tensor.expand_shape %arg1 [[0, 1], [2], [3, 4]] : tensor<3x4x5xf32> into tensor<1x3x4x1x5xf32> // CHECK: tensor.collapse_shape {{.*}}: tensor<1x3x4x1x5xf32> into tensor<3x4x5xf32> %rt0 = tensor.collapse_shape %t0 [[0, 1], [2], [3, 4]] : tensor<1x3x4x1x5xf32> into tensor<3x4x5xf32> // CHECK: tensor.expand_shape {{.*}}: tensor<3x?x5xf32> into tensor<1x3x?x1x5xf32> %t1 = tensor.expand_shape %arg2 [[0, 1], [2], [3, 4]] : tensor<3x?x5xf32> into tensor<1x3x?x1x5xf32> // CHECK: tensor.collapse_shape {{.*}}: tensor<1x3x?x1x5xf32> into tensor<1x?x5xf32> %rt1 = tensor.collapse_shape %t1 [[0], [1, 2], [3, 4]] : tensor<1x3x?x1x5xf32> into tensor<1x?x5xf32> return } // CHECK-LABEL: func @expand_collapse_shape_dynamic func @expand_collapse_shape_dynamic(%arg0: memref, %arg1: memref, %arg2: memref, %arg3: memref) { // CHECK: memref.collapse_shape {{.*}} {{\[}}[0, 1], [2]] // CHECK-SAME: memref into memref %0 = memref.collapse_shape %arg0 [[0, 1], [2]] : memref into memref // CHECK: memref.expand_shape {{.*}} {{\[}}[0, 1], [2]] // CHECK-SAME: memref into memref %r0 = memref.expand_shape %0 [[0, 1], [2]] : memref into memref // CHECK: memref.collapse_shape {{.*}} {{\[}}[0, 1], [2]] // CHECK-SAME: memref into memref %1 = memref.collapse_shape %arg1 [[0, 1], [2]] : memref into memref // CHECK: memref.expand_shape {{.*}} {{\[}}[0, 1], [2]] // CHECK-SAME: memref into memref %r1 = memref.expand_shape %1 [[0, 1], [2]] : memref into memref // CHECK: memref.collapse_shape {{.*}} {{\[}}[0, 1], [2]] // CHECK-SAME: memref into memref %2 = memref.collapse_shape %arg2 [[0, 1], [2]] : memref into memref // CHECK: memref.expand_shape {{.*}} {{\[}}[0, 1], [2]] // CHECK-SAME: memref into memref %r2 = memref.expand_shape %2 [[0, 1], [2]] : memref into memref // CHECK: memref.collapse_shape {{.*}} {{\[}}[0, 1]] // CHECK-SAME: memref into memref %3 = memref.collapse_shape %arg3 [[0, 1]] : memref into memref // CHECK: memref.expand_shape {{.*}} {{\[}}[0, 1]] // CHECK-SAME: memref into memref %r3 = memref.expand_shape %3 [[0, 1]] : memref into memref return } func @expand_collapse_shape_zero_dim(%arg0 : memref<1x1xf32>, %arg1 : memref) -> (memref, memref<1x1xf32>) { %0 = memref.collapse_shape %arg0 [] : memref<1x1xf32> into memref %1 = memref.expand_shape %0 [] : memref into memref<1x1xf32> return %0, %1 : memref, memref<1x1xf32> } // CHECK-LABEL: func @expand_collapse_shape_zero_dim // CHECK: memref.collapse_shape %{{.*}} [] : memref<1x1xf32> into memref // CHECK: memref.expand_shape %{{.*}} [] : memref into memref<1x1xf32> func @collapse_shape_to_dynamic (%arg0: memref) -> memref { %0 = memref.collapse_shape %arg0 [[0], [1], [2, 3, 4]] : memref into memref return %0 : memref } // CHECK: func @collapse_shape_to_dynamic // CHECK: memref.collapse_shape // CHECK-SAME: [0], [1], [2, 3, 4] // ----- func @rank(%t : memref<4x4x?xf32>) { // CHECK: %{{.*}} = memref.rank %{{.*}} : memref<4x4x?xf32> %0 = "memref.rank"(%t) : (memref<4x4x?xf32>) -> index // CHECK: %{{.*}} = memref.rank %{{.*}} : memref<4x4x?xf32> %1 = memref.rank %t : memref<4x4x?xf32> return } // ------ // CHECK-LABEL: func @atomic_rmw // CHECK-SAME: ([[BUF:%.*]]: memref<10xf32>, [[VAL:%.*]]: f32, [[I:%.*]]: index) func @atomic_rmw(%I: memref<10xf32>, %val: f32, %i : index) { %x = memref.atomic_rmw addf %val, %I[%i] : (f32, memref<10xf32>) -> f32 // CHECK: memref.atomic_rmw addf [[VAL]], [[BUF]]{{\[}}[[I]]] return } // CHECK-LABEL: func @generic_atomic_rmw // CHECK-SAME: ([[BUF:%.*]]: memref<1x2xf32>, [[I:%.*]]: index, [[J:%.*]]: index) func @generic_atomic_rmw(%I: memref<1x2xf32>, %i : index, %j : index) { %x = memref.generic_atomic_rmw %I[%i, %j] : memref<1x2xf32> { // CHECK-NEXT: memref.generic_atomic_rmw [[BUF]]{{\[}}[[I]], [[J]]] : memref ^bb0(%old_value : f32): %c1 = arith.constant 1.0 : f32 %out = arith.addf %c1, %old_value : f32 memref.atomic_yield %out : f32 // CHECK: index_attr = 8 : index } { index_attr = 8 : index } return }