| // RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s |
| |
| // CHECK: { |
| // CHECK-NEXT: version: 3, |
| // CHECK-NEXT: operator_codes: [ ], |
| // CHECK-NEXT: subgraphs: [ { |
| // CHECK-NEXT: tensors: [ { |
| // CHECK-NEXT: shape: [ ], |
| // CHECK-NEXT: type: VARIANT, |
| // CHECK-NEXT: buffer: 1, |
| // CHECK-NEXT: name: "tf.Const", |
| // CHECK-NEXT: quantization: { |
| // CHECK-EMPTY: |
| // CHECK-NEXT: } |
| // CHECK-NEXT: } ], |
| // CHECK-NEXT: inputs: [ ], |
| // CHECK-NEXT: outputs: [ 0 ], |
| // CHECK-NEXT: operators: [ ], |
| // CHECK-NEXT: name: "main" |
| // CHECK-NEXT: } ], |
| // CHECK-NEXT: description: "MLIR Converted.", |
| // CHECK-NEXT: buffers: [ { |
| // CHECK-EMPTY: |
| // CHECK-NEXT: }, { |
| // CHECK-NEXT: data: [ 128, 0, 0, 0, 128, 0, 0, 0 ] |
| // CHECK-NEXT: }, { |
| // CHECK-NEXT: data: [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ] |
| // CHECK-NEXT: } ], |
| // CHECK-NEXT: metadata: [ { |
| // CHECK-NEXT: name: "min_runtime_version", |
| // CHECK-NEXT: buffer: 2 |
| // CHECK-NEXT: } ], |
| // CHECK-NEXT: signature_defs: [ ] |
| // CHECK-NEXT: } |
| func.func @main() -> tensor<!tf_type.variant<tensor<2xi32>>> { |
| %0 = "tf.Const"() {device = "", name = "", dtype = "tfdtype$DT_INT32", value = opaque<"tf", "0x746674656E736F722464747970653A2044545F494E5433320A74656E736F725F7368617065207B0A202064696D207B0A2020202073697A653A20320A20207D0A7D0A74656E736F725F636F6E74656E743A20225C3230305C3030305C3030305C3030305C3230305C3030305C3030305C303030220A"> : tensor<!tf_type.variant>} : () -> tensor<!tf_type.variant<tensor<2xi32>>> |
| func.return %0 : tensor<!tf_type.variant<tensor<2xi32>>> |
| } |
