| // RUN: mlir-opt -split-input-file -test-tensor-transform-patterns=test-reassociative-reshape-folding %s | FileCheck %s |
| |
| // CHECK-LABEL: func @expand_shape_of_rank_reducing_extract( |
| // CHECK-SAME: %[[t:.*]]: tensor<?x?x?x?xf32> |
| // CHECK-DAG: %[[extract1:.*]] = tensor.extract_slice %{{.*}}[0, 0, 0, 0] [%{{.*}}, 1, 1, 5] [1, 1, 1, 1] : tensor<?x?x?x?xf32> to tensor<?x1x1x5xf32> |
| // CHECK-DAG: %[[extract2:.*]] = tensor.extract_slice %{{.*}}[0, 0, 0, 0] [%{{.*}}, 1, 1, 5] [1, 1, 1, 1] : tensor<?x?x?x?xf32> to tensor<?x1x1x5xf32> |
| // CHECK: return %[[extract1]], %[[extract2]] |
| func.func @expand_shape_of_rank_reducing_extract( |
| %t: tensor<?x?x?x?xf32>, %idx: index) |
| -> (tensor<?x1x1x5xf32>, tensor<?x1x1x5xf32>) |
| { |
| %0 = tensor.extract_slice %t[0, 0, 0, 0][%idx, 1, 1, 5][1, 1, 1, 1] |
| : tensor<?x?x?x?xf32> to tensor<?x1x5xf32> |
| %1 = tensor.expand_shape %0 [[0], [1, 2], [3]] |
| : tensor<?x1x5xf32> into tensor<?x1x1x5xf32> |
| %2 = tensor.expand_shape %0 [[0, 1], [2], [3]] |
| : tensor<?x1x5xf32> into tensor<?x1x1x5xf32> |
| return %1, %2 : tensor<?x1x1x5xf32>, tensor<?x1x1x5xf32> |
| } |
| |
| // ----- |
| |
| // CHECK-LABEL: func @rank_reducing_insert_of_collapse_shape( |
| // CHECK-SAME: %[[t:.*]]: tensor<?x1x1x5xf32> |
| // CHECK: %[[insert:.*]] = tensor.insert_slice %[[t]] into %{{.*}}[0, 0, 0, 0] [%{{.*}}, 1, 1, 5] [1, 1, 1, 1] : tensor<?x1x1x5xf32> into tensor<?x?x?x?xf32> |
| // CHECK: return %[[insert]] |
| func.func @rank_reducing_insert_of_collapse_shape( |
| %t: tensor<?x1x1x5xf32>, %d: tensor<?x?x?x?xf32>, %sz: index) |
| -> tensor<?x?x?x?xf32> { |
| %0 = tensor.collapse_shape %t [[0, 1], [2], [3]] |
| : tensor<?x1x1x5xf32> into tensor<?x1x5xf32> |
| %1 = tensor.insert_slice %0 into %d[0, 0, 0, 0][%sz, 1, 1, 5][1, 1, 1, 1] |
| : tensor<?x1x5xf32> into tensor<?x?x?x?xf32> |
| return %1 : tensor<?x?x?x?xf32> |
| } |
| |
| // ----- |
| |
| // CHECK-LABEL: func @rank_reducing_parallel_insert_of_collapse_shape( |
| // CHECK-SAME: %[[t:.*]]: tensor<?x1x1x5xf32> |
| // CHECK: tensor.parallel_insert_slice %[[t]] into %{{.*}}[0, 0, 0, 0] [%{{.*}}, 1, 1, 5] [1, 1, 1, 1] : tensor<?x1x1x5xf32> into tensor<?x?x?x?xf32> |
| func.func @rank_reducing_parallel_insert_of_collapse_shape( |
| %t: tensor<?x1x1x5xf32>, %d: tensor<?x?x?x?xf32>, %sz: index, %thr: index) |
| -> tensor<?x?x?x?xf32> { |
| %0 = tensor.collapse_shape %t [[0, 1], [2], [3]] |
| : tensor<?x1x1x5xf32> into tensor<?x1x5xf32> |
| %1 = scf.forall (%iv) in (%thr) shared_outs(%o = %d) -> (tensor<?x?x?x?xf32>) { |
| scf.forall.in_parallel { |
| tensor.parallel_insert_slice %0 into %o[0, 0, 0, 0][%sz, 1, 1, 5][1, 1, 1, 1] |
| : tensor<?x1x5xf32> into tensor<?x?x?x?xf32> |
| } |
| } |
| return %1 : tensor<?x?x?x?xf32> |
| } |