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