| // 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: [ 5 ], |
| // CHECK-NEXT: buffer: 1, |
| // CHECK-NEXT: name: "StatefulPartitionedCall:1", |
| // 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: [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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: inputs: [ ], |
| // CHECK-NEXT: outputs: [ { |
| // CHECK-NEXT: name: "start_logits" |
| // CHECK-NEXT: } ], |
| // CHECK-NEXT: signature_key: "serving_default" |
| // CHECK-NEXT: } ] |
| // CHECK-NEXT: } |
| |
| module attributes {tf.versions = {bad_consumers = [], min_consumer = 12 : i32, producer = 554 : i32}, tf_saved_model.semantics} { |
| func.func @main() -> (tensor<5xf32> {tf_saved_model.index_path = ["start_logits"]}) attributes {tf.entry_function = {control_outputs = "", inputs = "", outputs = "StatefulPartitionedCall:1"}, tf_saved_model.exported_names = ["serving_default"]} { |
| %cst = arith.constant dense<0.000000e+00> : tensor<5xf32> |
| func.return %cst : tensor<5xf32> |
| } |
| } |
