| // RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s |
| |
| func.func @main(tensor<4 x f32>, tensor<4 x f32>, tensor<4 x f32>, tensor<4 x f32>) -> tensor<4 x f32> { |
| // CHECK: { |
| // CHECK-NEXT: version: 3, |
| // CHECK-NEXT: operator_codes: [ { |
| // CHECK-NEXT: deprecated_builtin_code: 35, |
| // CHECK-NEXT: version: 1, |
| // CHECK-NEXT: builtin_code: UNIDIRECTIONAL_SEQUENCE_RNN |
| // CHECK-NEXT: } ], |
| // CHECK-NEXT: subgraphs: [ { |
| // CHECK-NEXT: tensors: [ { |
| // CHECK-NEXT: shape: [ 4 ], |
| // CHECK-NEXT: buffer: 1, |
| // CHECK-NEXT: name: "arg0", |
| // CHECK-NEXT: quantization: { |
| // CHECK-EMPTY: |
| // CHECK-NEXT: } |
| // CHECK-NEXT: }, { |
| // CHECK-NEXT: shape: [ 4 ], |
| // CHECK-NEXT: buffer: 2, |
| // CHECK-NEXT: name: "arg1", |
| // CHECK-NEXT: quantization: { |
| // CHECK-EMPTY: |
| // CHECK-NEXT: } |
| // CHECK-NEXT: }, { |
| // CHECK-NEXT: shape: [ 4 ], |
| // CHECK-NEXT: buffer: 3, |
| // CHECK-NEXT: name: "arg2", |
| // CHECK-NEXT: quantization: { |
| // CHECK-EMPTY: |
| // CHECK-NEXT: } |
| // CHECK-NEXT: }, { |
| // CHECK-NEXT: shape: [ 4 ], |
| // CHECK-NEXT: buffer: 4, |
| // CHECK-NEXT: name: "arg3", |
| // CHECK-NEXT: quantization: { |
| // CHECK-EMPTY: |
| // CHECK-NEXT: } |
| // CHECK-NEXT: }, { |
| // CHECK-NEXT: shape: [ 4, 4 ], |
| // CHECK-NEXT: name: "Const", |
| // CHECK-NEXT: quantization: { |
| // CHECK-EMPTY: |
| // CHECK-NEXT: }, |
| // CHECK-NEXT: is_variable: true |
| // CHECK-NEXT: }, { |
| // CHECK-NEXT: shape: [ 4 ], |
| // CHECK-NEXT: buffer: 6, |
| // CHECK-NEXT: name: "tfl.unidirectional_sequence_rnn", |
| // CHECK-NEXT: quantization: { |
| // CHECK-EMPTY: |
| // CHECK-NEXT: } |
| // CHECK-NEXT: } ], |
| // CHECK-NEXT: inputs: [ 0, 1, 2, 3 ], |
| // CHECK-NEXT: outputs: [ 5 ], |
| // CHECK-NEXT: operators: [ { |
| // CHECK-NEXT: inputs: [ 0, 1, 2, 3, 4 ], |
| // CHECK-NEXT: outputs: [ 5 ], |
| // CHECK-NEXT: builtin_options_type: SequenceRNNOptions, |
| // CHECK-NEXT: builtin_options: { |
| // CHECK-NEXT: time_major: true, |
| // CHECK-NEXT: fused_activation_function: TANH |
| // CHECK-NEXT: } |
| // CHECK-NEXT: } ], |
| // CHECK-NEXT: name: "main" |
| // CHECK-NEXT: } ], |
| // CHECK-NEXT: description: "MLIR Converted.", |
| // CHECK-NEXT: buffers: [ { |
| // CHECK-EMPTY: |
| // CHECK-NEXT: }, { |
| // CHECK-EMPTY: |
| // CHECK-NEXT: }, { |
| // CHECK-EMPTY: |
| // CHECK-NEXT: }, { |
| // CHECK-EMPTY: |
| // CHECK-NEXT: }, { |
| // 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ] |
| // CHECK-NEXT: }, { |
| // CHECK-EMPTY: |
| // CHECK-NEXT: }, { |
| // CHECK-NEXT: data: [ 49, 46, 49, 52, 46, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ] |
| // CHECK-NEXT: } ], |
| // CHECK-NEXT: metadata: [ { |
| // CHECK-NEXT: name: "min_runtime_version", |
| // CHECK-NEXT: buffer: 7 |
| // CHECK-NEXT: } ] |
| // CHECK-NEXT: signature_defs: [ ] |
| // CHECK-NEXT: } |
| // CHECK-EMPTY: |
| |
| ^bb0(%arg0: tensor<4 x f32>, %arg1: tensor<4 x f32>, %arg2: tensor<4 x f32>, %arg3: tensor<4 x f32>): |
| %0 = "tfl.pseudo_const" () {value = dense<0.0> : tensor<4x4xf32>} : () -> tensor<4x4xf32> loc("Const") |
| %1 = "tfl.unidirectional_sequence_rnn"(%arg0, %arg1, %arg2, %arg3, %0) {fused_activation_function = "TANH", time_major = true} : (tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4x4xf32>) -> tensor<4xf32> |
| func.return %1 : tensor<4xf32> |
| } |
