42 lines
1.4 KiB
MLIR
42 lines
1.4 KiB
MLIR
// RUN: mlir-opt -split-input-file -verify-diagnostics %s
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func.func @test_fill_op_not_linalg_op(%arg0 : f32, %arg1 : tensor<?xf32>)
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-> tensor<?xf32> {
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// expected-error @+1 {{expected a LinalgOp}}
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%0 = "test.fill_op_not_linalg_op"(%arg0, %arg1)
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: (f32, tensor<?xf32>) -> tensor<?xf32>
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return %0 : tensor<?xf32>
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}
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// -----
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#map0 = affine_map<(d0) -> ()>
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#map1 = affine_map<(d0) -> (d0)>
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func.func @test_fill_op_wrong_num_operands(%arg0 : f32, %arg1 : tensor<?xf32>)
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-> tensor<?xf32> {
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// expected-error @+1 {{expected op with 1 input and 1 output}}
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%0 = test.linalg_fill_op {
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indexing_maps = [#map0, #map0, #map1],
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iterator_types = ["parallel"]}
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ins(%arg0, %arg0 : f32, f32) outs(%arg1 : tensor<?xf32>) {
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^bb0(%arg2 : f32, %arg3 : f32, %arg4 : f32):
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linalg.yield %arg2 : f32
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} -> tensor<?xf32>
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return %0 : tensor<?xf32>
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}
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// -----
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#map1 = affine_map<(d0) -> (d0)>
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func.func @test_fill_op_non_scalar_input(%arg0 : tensor<?xf32>,
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%arg1 : tensor<?xf32>) -> tensor<?xf32> {
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// expected-error @+1 {{expected op with scalar input}}
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%0 = test.linalg_fill_op {
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indexing_maps = [#map1, #map1],
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iterator_types = ["parallel"]}
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ins(%arg0 : tensor<?xf32>) outs(%arg1 : tensor<?xf32>) {
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^bb0(%arg2 : f32, %arg3 : f32):
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linalg.yield %arg2 : f32
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} -> tensor<?xf32>
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return %0 : tensor<?xf32>
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}
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