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1// RUN: mlir-opt %s -transform-interpreter -split-input-file -verify-diagnostics | FileCheck %s2 3// CHECK: #[[$MAP:.*]] = affine_map<(d0, d1) -> (d1, d0)>4 5// CHECK-LABEL: @interchange_generic6func.func @interchange_generic(%arg0: tensor<?x?xf32>, %arg1: tensor<?x?xf32>) -> tensor<?x?xf32> {7 8 // CHECK: linalg.generic9 // CHECK-SAME: indexing_maps = [#[[$MAP]], #[[$MAP]]10 %0 = linalg.generic {11 indexing_maps = [affine_map<(d0, d1) -> (d0, d1)>, affine_map<(d0, d1) -> (d0, d1)>],12 iterator_types = ["parallel", "parallel"]13 } ins(%arg0 : tensor<?x?xf32>) outs(%arg1 : tensor<?x?xf32>) {14 ^bb0(%arg2: f32, %arg3: f32):15 %1 = math.exp %arg2 : f3216 linalg.yield %1 : f3217 } -> tensor<?x?xf32>18 return %0 : tensor<?x?xf32>19}20 21module attributes {transform.with_named_sequence} {22 transform.named_sequence @__transform_main(%arg1: !transform.any_op {transform.readonly}) {23 %0 = transform.structured.match ops{["linalg.generic"]} in %arg1 : (!transform.any_op) -> !transform.any_op24 transform.structured.interchange %0 iterator_interchange = [1, 0] : (!transform.any_op) -> !transform.any_op25 transform.yield26 }27}28 29// -----30 31func.func @interchange_matmul(%arg0: tensor<?x?xf32>, %arg1: tensor<?x?xf32>, %arg2: tensor<?x?xf32>) -> tensor<?x?xf32> {32 // expected-note @below {{when applied to this op}}33 %0 = linalg.matmul ins(%arg0, %arg1 : tensor<?x?xf32>, tensor<?x?xf32>) outs(%arg2 : tensor<?x?xf32>) -> tensor<?x?xf32>34 return %0 : tensor<?x?xf32>35}36 37module attributes {transform.with_named_sequence} {38 transform.named_sequence @__transform_main(%arg1: !transform.any_op {transform.readonly}) {39 %0 = transform.structured.match ops{["linalg.matmul"]} in %arg1 : (!transform.any_op) -> !transform.any_op40 // expected-error @below {{transform applied to the wrong op kind}}41 transform.structured.interchange %0 iterator_interchange = [1, 0] : (!transform.any_op) -> !transform.any_op42 transform.yield43 }44}45 46// -----47 48func.func @too_many_iters(%0: tensor<?x?xf32>, %1: tensor<?x?xf32>) -> tensor<?x?xf32> {49 %r = linalg.generic {50 indexing_maps = [affine_map<(d0, d1) -> (d0, d1)>, affine_map<(d0, d1) -> (d0, d1)>],51 iterator_types = ["parallel", "parallel"]52 } ins(%0: tensor<?x?xf32>) outs(%1: tensor<?x?xf32>) {53 ^bb0(%2: f32, %3: f32):54 %4 = arith.mulf %2, %2 : f3255 linalg.yield %4 : f3256 } -> tensor<?x?xf32>57 return %r : tensor<?x?xf32>58}59 60module attributes {transform.with_named_sequence} {61 transform.named_sequence @__transform_main(%arg0: !transform.any_op {transform.readonly}) {62 %0 = transform.structured.match ops{["linalg.generic"]} in %arg0 : (!transform.any_op) -> !transform.any_op63 // expected-error @below {{"iterator_interchange" has length (3) different from the number of loops in the target operation (2)}}64 transform.structured.interchange %0 iterator_interchange = [2,1,0] : (!transform.any_op) -> !transform.any_op65 transform.yield66 }67}68