| // RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s |
| |
| module { |
| func.func @serving_default(%arg0: tensor<3x2xf32>) -> tensor<3x2xf32> attributes {tf.entry_function = {inputs = "serving_default_x", outputs = "outputs"}} { |
| // CHECK: { |
| |
| // CHECK-LABEL: version: 3, |
| |
| // CHECK-LABEL: operator_codes: [ { |
| // CHECK: version: 1 |
| // CHECK: } ], |
| |
| // CHECK-LABEL: subgraphs: [ { |
| // CHECK: tensors: [ { |
| // CHECK: shape: [ 3, 2 ], |
| // CHECK: buffer: 1, |
| // CHECK: name: "serving_default_x", |
| // CHECK: quantization: { |
| // CHECK: } |
| // CHECK: }, { |
| // CHECK: shape: [ 3, 2 ], |
| // CHECK: buffer: 2, |
| // CHECK: name: "tfl.pseudo_const", |
| // CHECK: quantization: { |
| // CHECK: } |
| // CHECK: }, { |
| // CHECK: shape: [ 3, 2 ], |
| // CHECK: buffer: 3, |
| // CHECK: name: "outputs", |
| // CHECK: quantization: { |
| // CHECK: } |
| // CHECK: } ], |
| // CHECK: inputs: [ 0 ], |
| // CHECK: outputs: [ 2 ], |
| // CHECK: operators: [ { |
| // CHECK: inputs: [ 1, 0 ], |
| // CHECK: outputs: [ 2 ], |
| // CHECK: builtin_options_type: AddOptions, |
| // CHECK: builtin_options: { |
| // CHECK: } |
| // CHECK: } ], |
| // CHECK: name: "main" |
| // CHECK: } ], |
| // CHECK-LABEL: description: "MLIR Converted.", |
| // CHECK-LABEL: buffers: [ { |
| // CHECK: }, { |
| // CHECK: }, { |
| // CHECK: data: [ 0, 0, 128, 63, 0, 0, 0, 64, 0, 0, 64, 64, 0, 0, 128, 64, 0, 0, 160, 64, 0, 0, 192, 64 ] |
| // CHECK: }, { |
| // CHECK: } ] |
| // CHECK: } |
| %0 = "tfl.pseudo_const" () {value = dense<[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]> : tensor<3x2xf32>} : () -> tensor<3x2xf32> |
| %1 = "tfl.add" (%0, %arg0) {fused_activation_function = "NONE"} : (tensor<3x2xf32>, tensor<3x2xf32>) -> tensor<3x2xf32> |
| func.return %1 : tensor<3x2xf32> |
| } |
| } |
