- name: add
  inputs:
  - typename: Tensor
    name: x
    optional: false
    no_need_buffer: false
    data_transform: {}
  - typename: Tensor
    name: y
    optional: false
    no_need_buffer: false
    data_transform: {}
  attrs: []
  outputs:
  - {typename: Tensor, name: out, optional: false, intermediate: false}
  no_need_buffer: null
  data_transform: null
  infer_meta:
    func: ElementwiseInferMeta
    param: [x, y]
  kernel:
    func: [add]
    param: [x, y]
    backend: null
    layout: null
    data_type: null
    dispatch: {add: null}
    force_backend: null
  inplace: {out: x}
  view: null
  backward: add_grad
- name: add_grad
  inputs:
  - typename: Tensor
    name: x
    optional: false
    no_need_buffer: true
    data_transform: {}
  - typename: Tensor
    name: y
    optional: false
    no_need_buffer: true
    data_transform: {}
  - typename: Tensor
    name: out_grad
    optional: false
    no_need_buffer: false
    data_transform: {}
  attrs:
  - {typename: int, name: axis, default_value: '-1'}
  outputs:
  - {typename: Tensor, name: x_grad, optional: false, intermediate: false}
  - {typename: Tensor, name: y_grad, optional: false, intermediate: false}
  no_need_buffer: [x, y]
  data_transform: null
  infer_meta:
    func: GeneralBinaryGradInferMeta
    param: [x, y]
  kernel:
    func: [add_grad]
    param: [x, y, out_grad, axis]
    backend: null
    layout: null
    data_type: null
    dispatch: {add_grad: null}
    force_backend: null
  inplace: {x_grad: out_grad}
  view: null
  composite: {func_name: add_grad, func_args: 'x, y, out_grad, axis, x_grad, y_grad'}
  backward: add_double_grad
  forward:
    name: add
    inputs:
    - {name: x, typename: Tensor}
    - {name: y, typename: Tensor}
    attrs: []
    outputs:
    - {name: out, typename: Tensor}