tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/reshape.mlir

// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s

func.func @main(tensor<3x2xi32>) -> tensor<6xi32> {
^bb0(%arg0: tensor<3x2xi32>):
// CHECK: {
// CHECK-NEXT:   version: 3,
// CHECK-NEXT:   operator_codes: [ {
// CHECK-NEXT:     deprecated_builtin_code: 22,
// CHECK-NEXT:     version: 1,
// CHECK-NEXT:     builtin_code: RESHAPE
// CHECK-NEXT:   } ],
// CHECK-NEXT:   subgraphs: [ {
// CHECK-NEXT:     tensors: [ {
// CHECK-NEXT:       shape: [ 3, 2 ],
// CHECK-NEXT:       type: INT32,
// CHECK-NEXT:       buffer: 1,
// CHECK-NEXT:       name: "arg0",
// CHECK-NEXT:       quantization: {
// CHECK-EMPTY:
// CHECK-NEXT:       }
// CHECK-NEXT:     }, {
// CHECK-NEXT:       shape: [ 1 ],
// CHECK-NEXT:       type: INT32,
// CHECK-NEXT:       buffer: 2,
// CHECK-NEXT:       name: "Const",
// CHECK-NEXT:       quantization: {
// CHECK-EMPTY:
// CHECK-NEXT:       }
// CHECK-NEXT:     }, {
// CHECK-NEXT:       shape: [ 6 ],
// CHECK-NEXT:       type: INT32,
// CHECK-NEXT:       buffer: 3,
// CHECK-NEXT:       name: "tfl.reshape",
// CHECK-NEXT:       quantization: {
// CHECK-EMPTY:
// CHECK-NEXT:       }
// CHECK-NEXT:     } ],
// CHECK-NEXT:     inputs: [ 0 ],
// CHECK-NEXT:     outputs: [ 2 ],
// CHECK-NEXT:     operators: [ {
// CHECK-NEXT:       inputs: [ 0, 1 ],
// CHECK-NEXT:       outputs: [ 2 ]
// 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-NEXT:     data: [ 6, 0, 0, 0 ]
// 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: 4
// CHECK-NEXT:   } ]
// CHECK-NEXT:   signature_defs: [ ]
// CHECK-NEXT: }

  %0 = "tfl.pseudo_const" () {value = dense<[6]> : tensor<1xi32>} : () -> tensor<1xi32> loc("Const")
  %1 = "tfl.reshape" (%arg0, %0) : (tensor<3x2xi32>, tensor<1xi32>) -> tensor<6xi32>
  func.return %1 : tensor<6xi32>
}