| // RUN: not flatbuffer_translate -mlir-to-tflite-flatbuffer %s 2>&1 | FileCheck %s |
| |
| // CHECK: error: 'tf.MyCustomOp' op is neither a custom op nor a flex op |
| // CHECK: error: failed while converting: 'main' |
| // CHECK: Some ops in the model are custom ops, See instructions to implement |
| // CHECK: tf.MyCustomOp(tensor<4xf32>, tensor<4xf32>) -> (tensor<4xf32>, tensor<3xf32>) : {name = "MyCustomOp"} |
| |
| func.func @main(tensor<4xf32>) -> tensor<4xf32> { |
| ^bb0(%arg0: tensor<4xf32>): |
| %0 = "tfl.pseudo_const" () {name = "Const", value = dense<1.0> : tensor<4xf32>} : () -> tensor<4xf32> |
| %1 = "tfl.mul"(%arg0, %0) {fused_activation_function = "NONE", name = "mul"} : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32> |
| %2:2 = "tf.MyCustomOp"(%1, %0) {name = "MyCustomOp"} : (tensor<4xf32>, tensor<4xf32>) -> (tensor<4xf32>, tensor<3xf32>) |
| %3 = "tfl.exp"(%2#0) {name = "exp"} : (tensor<4xf32>) -> tensor<4xf32> |
| func.return %3 : tensor<4xf32> |
| } |
