| // RUN: mlir-opt %s -transform-interpreter -split-input-file -verify-diagnostics | FileCheck %s |
| |
| // CHECK: #[[$MAP:.*]] = affine_map<(d0, d1) -> (d1, d0)> |
| |
| // CHECK-LABEL: @interchange_generic |
| func.func @interchange_generic(%arg0: tensor<?x?xf32>, %arg1: tensor<?x?xf32>) -> tensor<?x?xf32> { |
| |
| // CHECK: linalg.generic |
| // CHECK-SAME: indexing_maps = [#[[$MAP]], #[[$MAP]] |
| %0 = linalg.generic { |
| indexing_maps = [affine_map<(d0, d1) -> (d0, d1)>, affine_map<(d0, d1) -> (d0, d1)>], |
| iterator_types = ["parallel", "parallel"] |
| } ins(%arg0 : tensor<?x?xf32>) outs(%arg1 : tensor<?x?xf32>) { |
| ^bb0(%arg2: f32, %arg3: f32): |
| %1 = math.exp %arg2 : f32 |
| linalg.yield %1 : f32 |
| } -> tensor<?x?xf32> |
| return %0 : tensor<?x?xf32> |
| } |
| |
| module attributes {transform.with_named_sequence} { |
| transform.named_sequence @__transform_main(%arg1: !transform.any_op {transform.readonly}) { |
| %0 = transform.structured.match ops{["linalg.generic"]} in %arg1 : (!transform.any_op) -> !transform.any_op |
| transform.structured.interchange %0 iterator_interchange = [1, 0] : (!transform.any_op) -> !transform.any_op |
| transform.yield |
| } |
| } |
| |
| // ----- |
| |
| func.func @interchange_matmul(%arg0: tensor<?x?xf32>, %arg1: tensor<?x?xf32>, %arg2: tensor<?x?xf32>) -> tensor<?x?xf32> { |
| // expected-note @below {{when applied to this op}} |
| %0 = linalg.matmul ins(%arg0, %arg1 : tensor<?x?xf32>, tensor<?x?xf32>) outs(%arg2 : tensor<?x?xf32>) -> tensor<?x?xf32> |
| return %0 : tensor<?x?xf32> |
| } |
| |
| module attributes {transform.with_named_sequence} { |
| transform.named_sequence @__transform_main(%arg1: !transform.any_op {transform.readonly}) { |
| %0 = transform.structured.match ops{["linalg.matmul"]} in %arg1 : (!transform.any_op) -> !transform.any_op |
| // expected-error @below {{transform applied to the wrong op kind}} |
| transform.structured.interchange %0 iterator_interchange = [1, 0] : (!transform.any_op) -> !transform.any_op |
| transform.yield |
| } |
| } |
| |
| // ----- |
| |
| func.func @too_many_iters(%0: tensor<?x?xf32>, %1: tensor<?x?xf32>) -> tensor<?x?xf32> { |
| %r = linalg.generic { |
| indexing_maps = [affine_map<(d0, d1) -> (d0, d1)>, affine_map<(d0, d1) -> (d0, d1)>], |
| iterator_types = ["parallel", "parallel"] |
| } ins(%0: tensor<?x?xf32>) outs(%1: tensor<?x?xf32>) { |
| ^bb0(%2: f32, %3: f32): |
| %4 = arith.mulf %2, %2 : f32 |
| linalg.yield %4 : f32 |
| } -> tensor<?x?xf32> |
| return %r : tensor<?x?xf32> |
| } |
| |
| module attributes {transform.with_named_sequence} { |
| transform.named_sequence @__transform_main(%arg0: !transform.any_op {transform.readonly}) { |
| %0 = transform.structured.match ops{["linalg.generic"]} in %arg0 : (!transform.any_op) -> !transform.any_op |
| // expected-error @below {{"iterator_interchange" has length (3) different from the number of loops in the target operation (2)}} |
| transform.structured.interchange %0 iterator_interchange = [2,1,0] : (!transform.any_op) -> !transform.any_op |
| transform.yield |
| } |
| } |