mirror of https://github.com/llvm/torch-mlir
43 lines
1.4 KiB
MLIR
43 lines
1.4 KiB
MLIR
// RUN: torch-mlir-opt -torch-verify-tosa-backend-contract -split-input-file -verify-diagnostics -allow-unregistered-dialect %s | FileCheck %s
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// CHECK: func.func @tanh
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func.func @tanh(%arg0: tensor<?x?xf32>) -> tensor<?x?xf32> {
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%0 = tosa.tanh %arg0 : (tensor<?x?xf32>) -> tensor<?x?xf32>
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return %0 : tensor<?x?xf32>
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}
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// -----
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// Basic check of error reporting.
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// expected-error@+1 {{Module does not conform to the TOSA backend contract.}}
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module {
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func.func @disallowed() {
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// expected-error@+1 {{failed to legalize operation 'unknown_dialect.unknown_op'}}
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"unknown_dialect.unknown_op"() : () -> ()
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return
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}
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}
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// -----
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// TODO: Improve these errors to give more exact reporting.
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//
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// The reporting we inherit from dialect conversion is not precise.
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// For example, here we want it to explicitly call out that
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// `!torch.tensor` is the problem here, which suggests
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// that type inference didn't succeed, or insufficient type information
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// was available.
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//
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// Ultimately, the output of this pass needs to be conveyed to the user
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// in an understandable way, such as suggesting a particular place where
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// a shape annotation is needed.
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// expected-error@+1 {{Module does not conform to the TOSA backend contract.}}
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module {
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func.func @disallowed(%arg0: !torch.tensor) -> !torch.tensor {
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// expected-error@+1 {{failed to legalize operation 'func.return'}}
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return %arg0 : !torch.tensor
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}
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}
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