// CHECK:  "tfl.log_softmax"(%arg0) : (tensor<8x16xf32>) -> tensor<8x16xf32>
}

func.func @zeros_like(%arg0: tensor<8x16xf32>) -> tensor<8x16xf32> {
  %0 = "tf.ZerosLike"(%arg0) : (tensor<8x16xf32>) -> tensor<8x16xf32>
  func.return %0 : tensor<8x16xf32>
// CHECK-LABEL: zeros_like
// CHECK:  "tfl.zeros_like"(%arg0) : (tensor<8x16xf32>) -> tensor<8x16xf32>
}

}

// CHECK-LABEL: testZerosLike
func.func @testZerosLike(tensor<? x f32>) -> tensor<? x f32> {
^bb0(%arg0: tensor<? x f32>):
  // CHECK: "tfl.zeros_like"(%arg0)
  %0 = "tfl.zeros_like"(%arg0): (tensor<? x f32>) -> tensor<? x f32>
  func.return %0 : tensor<? x f32>
}

// CHECK-LABEL: testDequantize

  );

  let extraClassDeclaration = [{
    static bool isCompatibleReturnTypes(TypeRange l, TypeRange r);
  }];

  let hasOptions = 1;
}

def TFL_ZerosLikeOp: TFL_Op<"zeros_like", [
    PredOpTrait<"input and output must have same element type",
      TFL_TCresVTEtIsSameAsOp<0, 0>>,
    SameOperandsAndResultShape,
    Pure]> {
  let summary = "ZerosLike operator";