| // RUN: mlir-opt %s -linalg-tile="linalg-tile-sizes=2,3,0,0,4" | FileCheck %s -check-prefix=TILE-23004 |
| // RUN: mlir-opt %s -linalg-tile="linalg-tile-sizes=2" | FileCheck %s -check-prefix=TILE-20000 |
| |
| // TILE-23004-DAG: #[[$strided4D:.*]] = affine_map<(d0, d1, d2, d3)[s0, s1, s2, s3] -> (d0 * s1 + s0 + d1 * s2 + d2 * s3 + d3)> |
| // TILE-20000-DAG: #[[$strided4D:.*]] = affine_map<(d0, d1, d2, d3)[s0, s1, s2, s3] -> (d0 * s1 + s0 + d1 * s2 + d2 * s3 + d3)> |
| // TILE-20000-DAG: #[[$minmap:.*]] = affine_map<(d0)[s0] -> (2, -d0 + s0)> |
| |
| func @conv_padding(%arg0: memref<?x?x?x?xf32, offset: ?, strides: [?, ?, ?, 1]>, %arg1: memref<?x?x?x?xf32, offset: ?, strides: [?, ?, ?, 1]>, %arg2: memref<?x?x?x?xf32, offset: ?, strides: [?, ?, ?, 1]>) { |
| linalg.conv(%arg0, %arg1, %arg2) {dilations = [10, 20], padding = dense<[[1, 1], [0, 1]]> : tensor<2x2xi64>, strides = [30, 40]} : memref<?x?x?x?xf32, offset: ?, strides: [?, ?, ?, 1]>, memref<?x?x?x?xf32, offset: ?, strides: [?, ?, ?, 1]>, memref<?x?x?x?xf32, offset: ?, strides: [?, ?, ?, 1]> |
| return |
| } |
| // TILE-23004-LABEL: func @conv_padding( |
| // TILE-23004-SAME: %[[ARG0:[a-zA-Z0-9_]*]]: memref<?x?x?x?xf32, #[[$strided4D]]> |
| // TILE-23004-SAME: %[[ARG1:[a-zA-Z0-9_]*]]: memref<?x?x?x?xf32, #[[$strided4D]]> |
| // TILE-23004-SAME: %[[ARG2:[a-zA-Z0-9_]*]]: memref<?x?x?x?xf32, #[[$strided4D]]>) |
| // TILE-23004: linalg.conv(%[[ARG0]], %[[ARG1]], %[[ARG2]]) |
| |
| // TILE-20000-LABEL: func @conv_padding( |
| // TILE-20000-SAME: %[[ARG0:[a-zA-Z0-9_]*]]: memref<?x?x?x?xf32, #[[$strided4D]]> |
| // TILE-20000-SAME: %[[ARG1:[a-zA-Z0-9_]*]]: memref<?x?x?x?xf32, #[[$strided4D]]> |
| // TILE-20000-SAME: %[[ARG2:[a-zA-Z0-9_]*]]: memref<?x?x?x?xf32, #[[$strided4D]]>) |
| // TILE-20000-DAG: %[[C0:.*]] = constant 0 : index |
| // TILE-20000-DAG: %[[C2:.*]] = constant 2 : index |
| // TILE-20000: %[[B:.*]] = dim %[[ARG1]], %c0 |
| // TILE-20000: scf.for %[[ivI:.*]] = %[[C0]] to %[[B]] step %[[C2]] { |
| // TILE-20000: %[[DIM10:.*]] = dim %[[ARG1]], %c0 |
| // TILE-20000: %[[EXTENT:.*]] = affine.min #[[$minmap]](%[[ivI]])[%[[DIM10]]] |
| // TILE-20000: %[[DIM11:.*]] = dim %[[ARG1]], %c1 |
| // TILE-20000: %[[DIM12:.*]] = dim %[[ARG1]], %c2 |
| // TILE-20000: %[[DIM13:.*]] = dim %[[ARG1]], %c3 |
| // TILE-20000: %[[SUBVIEW1:.*]] = subview %[[ARG1]][%[[ivI]], 0, 0, 0] [%[[EXTENT]], %[[DIM11]], %[[DIM12]], %[[DIM13]]] |
| // TILE-20000: %[[DIM20:.*]] = dim %[[ARG2]], %c0 |
| // TILE-20000: %[[EXTENT:.*]] = affine.min #[[$minmap]](%[[ivI]])[%[[DIM20]]] |
| // TILE-20000: %[[DIM21:.*]] = dim %[[ARG2]], %c1 |
| // TILE-20000: %[[DIM22:.*]] = dim %[[ARG2]], %c2 |
| // TILE-20000: %[[DIM23:.*]] = dim %[[ARG2]], %c3 |
| // TILE-20000: %[[SUBVIEW2:.*]] = subview %[[ARG2]][%[[ivI]], 0, 0, 0] [%[[EXTENT]], %[[DIM21]], %[[DIM22]], %[[DIM23]]] |
| // TILE-20000: linalg.conv(%[[ARG0]], %[[SUBVIEW1]], %[[SUBVIEW2]]) |
