| // RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s |
| |
| func.func @main(tensor<1x6x6x16xf32>) -> tensor<1x1x1x16xf32> { |
| ^bb0(%arg0: tensor<1x6x6x16xf32>): |
| // CHECK: { |
| // CHECK-NEXT: version: 3, |
| // CHECK-NEXT: operator_codes: [ { |
| // CHECK-NEXT: deprecated_builtin_code: 1, |
| // CHECK-NEXT: version: 1, |
| // CHECK-NEXT: builtin_code: AVERAGE_POOL_2D |
| // CHECK-NEXT: } ], |
| // CHECK-NEXT: subgraphs: [ { |
| // CHECK-NEXT: tensors: [ { |
| // CHECK-NEXT: shape: [ 1, 6, 6, 16 ], |
| // CHECK-NEXT: buffer: 1, |
| // CHECK-NEXT: name: "arg0", |
| // CHECK-NEXT: quantization: { |
| // CHECK-EMPTY: |
| // CHECK-NEXT: } |
| // CHECK-NEXT: }, { |
| // CHECK-NEXT: shape: [ 1, 1, 1, 16 ], |
| // CHECK-NEXT: buffer: 2, |
| // CHECK-NEXT: name: "avgpool", |
| // CHECK-NEXT: quantization: { |
| // CHECK-EMPTY: |
| // CHECK-NEXT: } |
| // CHECK-NEXT: } ], |
| // CHECK-NEXT: inputs: [ 0 ], |
| // CHECK-NEXT: outputs: [ 1 ], |
| // CHECK-NEXT: operators: [ { |
| // CHECK-NEXT: inputs: [ 0 ], |
| // CHECK-NEXT: outputs: [ 1 ], |
| // CHECK-NEXT: builtin_options_type: Pool2DOptions, |
| // CHECK-NEXT: builtin_options: { |
| // CHECK-NEXT: padding: VALID, |
| // CHECK-NEXT: stride_w: 1, |
| // CHECK-NEXT: stride_h: 3, |
| // CHECK-NEXT: filter_width: 6, |
| // CHECK-NEXT: filter_height: 3 |
| // 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-NEXT: data: [ 49, 46, 53, 46, 48, 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: 3 |
| // CHECK-NEXT: } ] |
| // CHECK-NEXT: signature_defs: [ ] |
| // CHECK-NEXT: } |
| |
| %0 = "tfl.average_pool_2d"(%arg0) {filter_height = 3 : i32, filter_width = 6 : i32, fused_activation_function = "NONE", padding = "VALID", stride_h = 3 : i32, stride_w = 1 : i32} : (tensor<1x6x6x16xf32>) -> tensor<1x1x1x16xf32> loc("avgpool") |
| func.return %0 : tensor<1x1x1x16xf32> |
| } |
