| // RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -emit-custom-ops -emit-builtin-tflite-ops=false -o - | flatbuffer_to_string - | FileCheck %s |
| |
| // CHECK: { |
| // CHECK: version: 3, |
| // CHECK: operator_codes: [ { |
| // CHECK: deprecated_builtin_code: 32, |
| // CHECK: custom_code: "HashTableV2", |
| // CHECK: builtin_code: CUSTOM |
| // CHECK: } ], |
| // CHECK: subgraphs: [ { |
| // CHECK: tensors: [ { |
| // CHECK: shape: [ ], |
| // CHECK: type: RESOURCE, |
| // CHECK: buffer: 1, |
| // CHECK: name: "tf.HashTableV2", |
| // CHECK: quantization: { |
| // CHECK-EMPTY |
| // CHECK: } |
| // CHECK: } ], |
| // CHECK: inputs: [ ], |
| // CHECK: outputs: [ 0 ], |
| // CHECK: operators: [ { |
| // CHECK: inputs: [ ], |
| // CHECK: outputs: [ 0 ], |
| // CHECK: custom_options: |
| // CHECK: name: "main" |
| // CHECK: } ], |
| // CHECK: description: "MLIR Converted.", |
| // CHECK: buffers: [ { |
| // CHECK-EMPTY |
| // CHECK: }, { |
| // CHECK-EMPTY |
| // CHECK: } ] |
| // CHECK: } |
| |
| func.func @main() -> tensor<*x!tf_type.resource> { |
| %0 = "tf.HashTableV2"() {container = "" , shared_name= "table", use_node_name_sharing = false, key_dtype = i32, value_dtype = i32 } : () -> tensor<*x!tf_type.resource> |
| func.return %0 : tensor<*x!tf_type.resource> |
| } |
| |
