dac75ae5ff
Instead put their impl in test/lib and link them into mlir-test-opt PiperOrigin-RevId: 254837439
37 lines
1.3 KiB
MLIR
37 lines
1.3 KiB
MLIR
// RUN: mlir-opt %s -split-input-file -verify-diagnostics | FileCheck %s
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//===----------------------------------------------------------------------===//
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// Test mixed normal and variadic results
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//===----------------------------------------------------------------------===//
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func @correct_variadic_result() -> tensor<f32> {
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// CHECK: mixed_normal_variadic_result
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%0:5 = "test.mixed_normal_variadic_result"() : () -> (tensor<f32>, tensor<f32>, tensor<f32>, tensor<f32>, tensor<f32>)
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return %0#4 : tensor<f32>
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}
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// -----
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func @error_in_first_variadic_result() -> tensor<f32> {
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// expected-error @+1 {{result #1 must be tensor of any type}}
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%0:5 = "test.mixed_normal_variadic_result"() : () -> (tensor<f32>, f32, tensor<f32>, tensor<f32>, tensor<f32>)
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return %0#4 : tensor<f32>
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}
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// -----
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func @error_in_normal_result() -> tensor<f32> {
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// expected-error @+1 {{result #2 must be tensor of any type}}
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%0:5 = "test.mixed_normal_variadic_result"() : () -> (tensor<f32>, tensor<f32>, f32, tensor<f32>, tensor<f32>)
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return %0#4 : tensor<f32>
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}
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// -----
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func @error_in_second_variadic_result() -> tensor<f32> {
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// expected-error @+1 {{result #3 must be tensor of any type}}
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%0:5 = "test.mixed_normal_variadic_result"() : () -> (tensor<f32>, tensor<f32>, tensor<f32>, f32, tensor<f32>)
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return %0#4 : tensor<f32>
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}
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