7e2707ad46
Following on from #126737, adds a negative test that: * prior to #126737, would incorrectly generated empty output, * with the fix in-tree, simply outputs the input IR (i.e. the specialization "fails"). I've also made minor editorial changes.
32 lines
1.2 KiB
MLIR
32 lines
1.2 KiB
MLIR
// RUN: mlir-opt %s -split-input-file --linalg-specialize-generic-ops | FileCheck %s
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#map = affine_map<(d0, d1, d2) -> (d1, d0)>
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#map1 = affine_map<(d0, d1, d2) -> (d0, d1, d2)>
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// This test checks that linalg.generic does not get incorrectly specialized to transform or broadcast.
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// CHECK-LABEL: @transpose_and_broadcast
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// CHECK: linalg.generic
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func.func @transpose_and_broadcast(%arg0: tensor<7x8xf32>, %arg1: tensor<8x7x9xf32>) -> tensor<8x7x9xf32> {
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%res = linalg.generic {
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indexing_maps = [#map, #map1], iterator_types = ["parallel", "parallel", "parallel"]
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} ins(%arg0 : tensor<7x8xf32>) outs(%arg1 : tensor<8x7x9xf32>) {
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^bb0(%in: f32, %out: f32):
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linalg.yield %in : f32
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} -> tensor<8x7x9xf32>
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return %res : tensor<8x7x9xf32>
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}
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// -----
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#map = affine_map<(d0) -> (d0)>
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// CHECK-LABEL: @neither_permutation_nor_broadcast
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// CHECK: linalg.generic
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func.func @neither_permutation_nor_broadcast(%init : tensor<8xi32>) -> tensor<8xi32> {
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%res = linalg.generic {
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indexing_maps = [#map], iterator_types = ["parallel"]
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} outs(%init: tensor<8xi32>) {
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^bb0(%out: i32):
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linalg.yield %out: i32
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} -> tensor<8xi32>
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return %res : tensor<8xi32>
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}
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