delete pd_op.yaml (#56862)

paddle/fluid/ir/dialect/paddle_dialect/ir/pd_op.yaml

-- name: assign_value
-  inputs: []
-  attrs:
-  - {typename: 'int[]', name: shape}
-  - {typename: DataType, name: dtype}
-  - {typename: 'Scalar[]', name: values, data_type: 'std::vector<Scalar>'}
-  - {typename: Place, name: place, default_value: '{}'}
-  outputs:
-  - {typename: Tensor, name: out, optional: false, intermediate: false}
-  no_need_buffer: null
-  data_transform: null
-  infer_meta:
-    func: AssignValueInferMeta
-    param: [shape, dtype]
-  kernel:
-    func: [assign_value]
-    param: [shape, dtype, values]
-    backend:
-      ordered: true
-      candidates: [place]
-    layout: null
-    data_type:
-      ordered: false
-      candidates: [dtype]
-      to_complex_flag: [false]
-    dispatch: {assign_value: null}
-    force_backend: null
-  inplace: null
-  view: null
-  backward: null
-
-- name: feed
-  inputs: []
-  attrs:
-  - {typename: str, name: name}
-  - {typename: int, name: col}
-  outputs:
-  - {typename: Tensor, name: out, optional: false, intermediate: false}
-  no_need_buffer: null
-  data_transform: null
-  inplace: null
-  backward: null
-
-- name: fetch
-  inputs:
-  - typename: Tensor
-    name: x
-    optional: false
-    no_need_buffer: false
-    data_transform: {}
-  attrs:
-  - {typename: str, name: name}
-  - {typename: int, name: col}
-  outputs:
-    - {typename: Tensor, name: out, optional: false, intermediate: false}
-  no_need_buffer: null
-  data_transform: null
-  infer_meta:
-    func: UnchangedInferMeta
-    param: [x]
-  kernel:
-    func: [fetch]
-    param: [x]
-    backend: null
-    layout: null
-    data_type: null
-    dispatch: {fetch: null}
-    force_backend: null
-  inplace: null
-  backward: null
-
-- name: save_combine
-  inputs:
-  - typename: Tensor[]
-    name: X
-    optional: false
-    no_need_buffer: false
-    data_transform: {}
-  attrs:
-  - {typename: str, name: file_path}
-  - {typename: bool, name: overwrite}
-  - {typename: bool, name: save_as_fp16}
-  - {typename: bool, name: save_to_memory}
-  outputs:
-    - {typename: Tensor, name: out, optional: true, intermediate: false}
-  no_need_buffer: null
-  data_transform: null
-  kernel:
-    func: [save_combine_tensor]
-    param: [X, file_path, overwrite, save_as_fp16, save_to_memory]
-    backend: null
-    layout: null
-    data_type: null
-    dispatch: {fetch: null}
-    force_backend: null
-  inplace: null
-  backward: null
-
-- name: load_combine
-  inputs: []
-  attrs:
-  - {typename: str, name: file_path}
-  - {typename: bool, name: load_as_fp16}
-  - {typename: bool, name: model_from_memory}
-  outputs:
-    - {typename: 'Tensor[]', name: Out, optional: true, intermediate: false}
-  no_need_buffer: null
-  data_transform: null
-  kernel:
-    func: [load_combine]
-    param: [file_path, load_as_fp16, model_from_memory]
-    backend: null
-    layout: null
-    data_type: null
-    dispatch: {fetch: null}
-    force_backend: null
-  inplace: null
-  backward: null
-
-- name: share_buffer_
-  inputs:
-  - typename: Tensor[]
-    name: x
-    optional: false
-    no_need_buffer: false
-    data_transform: {}
-  attrs:
-  - {typename: 'bool[]', name: share_dims_and_dtype, default_value: '{}'}
-  outputs:
-  - {typename: 'Tensor[]', name: out, size: x.size(), optional: false, intermediate: false}
-  - {typename: 'Tensor[]', name: xout, size: x.size(), optional: false, intermediate: false}
-  no_need_buffer: null
-  data_transform: null
-  inplace: null
-  backward: null
-
-- name: assert
-  inputs:
-  - typename: Tensor
-    name: cond
-    optional: false
-    no_need_buffer: false
-    data_transform: {}
-  - typename: Tensor[]
-    name: data
-    optional: false
-    no_need_buffer: false
-    data_transform: {}
-  attrs:
-  - {typename: 'int64_t', name: summarize, default_value: '-1'}
-  outputs: []
-  no_need_buffer: null
-  data_transform: null
-  kernel:
-    func: [assert]
-    param: [cond, data, summarize]
-    backend: null
-    layout: null
-    data_type:
-      ordered: false
-      candidates: [cond]
-      to_complex_flag: [false]
-    dispatch: {assert: null}
-    force_backend: null
-  inplace: null
-  backward: null
-
-- name: print
-  inputs:
-  - typename: Tensor
-    name: in
-    optional: false
-    no_need_buffer: false
-    data_transform: {}
-  attrs:
-  - {typename: 'int', name: first_n}
-  - {typename: 'str', name: message}
-  - {typename: 'int', name: summarize}
-  - {typename: 'bool', name: print_tensor_name, default_value: 'true'}
-  - {typename: 'bool', name: print_tensor_type, default_value: 'true'}
-  - {typename: 'bool', name: print_tensor_shape, default_value: 'true'}
-  - {typename: 'bool', name: print_tensor_layout, default_value: 'true'}
-  - {typename: 'bool', name: print_tensor_lod, default_value: 'true'}
-  - {typename: 'str', name: print_phase, default_value: '"BOTH"'}
-  - {typename: 'bool', name: is_forward, default_value: 'true'}
-  outputs:
-    - typename: Tensor
-      name: out
-      optional: false
-      no_need_buffer: false
-      data_transform: {}
-  infer_meta:
-    func: UnchangedInferMeta
-    param: [in]
-  kernel:
-    func: [print_kernel]
-    param: [in, first_n, message, summarize, print_tensor_name, print_tensor_type, print_tensor_shape, print_tensor_layout, print_tensor_lod, print_phase, is_forward ]
-    backend: null
-    layout: null
-    data_type: null
-    dispatch: {print: null}
-    force_backend: null
-  no_need_buffer: null
-  data_transform: null
-  inplace: null
-  backward: null
-
-- name: add_n_
-  inputs:
-  - typename: Tensor[]
-    name: inputs
-    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: AddNInferMeta
-    param: [inputs]
-  kernel:
-    func: [add_n]
-    param: [inputs]
-    backend: null
-    layout: null
-    data_type: null
-    dispatch: {fetch: null}
-    force_backend: null
-  backward: add_n_grad
-
-- name: add_n_with_kernel
-  inputs:
-  - typename: Tensor[]
-    name: inputs
-    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: AddNInferMeta
-    param: [inputs]
-  kernel:
-    func: [add_n]
-    param: [inputs]
-    backend: null
-    layout: null
-    data_type: null
-    dispatch: {fetch: null}
-    force_backend: null
-  backward: add_n_grad
-
-- name: write_to_array
-  inputs:
-  - typename: Tensor
-    name: i
-    optional: false
-    no_need_buffer: false
-    data_transform: {}
-  - typename: Tensor
-    name: x
-    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
-  backward: write_to_array_grad
-
-- name: lod_array_length
-  inputs:
-  - typename: Tensor[]
-    name: x
-    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
-
-- name: embedding_grad_sparse
-  inputs:
-  - typename: Tensor
-    name: x
-    optional: false
-    no_need_buffer: false
-    data_transform: {}
-  - typename: Tensor
-    name: weight
-    optional: false
-    no_need_buffer: false
-    data_transform: {}
-  - typename: Tensor
-    name: out_grad
-    optional: false
-    no_need_buffer: false
-    data_transform: {}
-  attrs:
-  - {typename: int64_t, name: padding_idx, default_value: '-1'}
-  - {typename: bool, name: sparse, default_value: 'false'}
-  outputs:
-  - {typename: SelectedRows, name: weight_grad, optional: false, intermediate: false}
-  no_need_buffer: null
-  data_transform: null
-  infer_meta:
-    func: EmbeddingGradSparseInferMeta
-    param: [weight]
-  kernel:
-    func: [embedding_sparse_grad]
-    param: [x, weight, out_grad, padding_idx, sparse]
-    backend: null
-    layout: null
-    data_type:
-      ordered: false
-      candidates: [weight]
-      to_complex_flag: [false]
-    dispatch: {embedding_sparse_grad: null}
-    force_backend: null
-  inplace: null
-  view: null
-  backward: null
-
-- name: shadow_feed
-  inputs:
-  - typename: Tensor
-    name: x
-    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: UnchangedInferMeta
-    param: [x]
-  kernel:
-    func: [shadow_feed]
-    param: [x]
-    backend: null
-    layout: null
-    data_type: null
-    dispatch: {fetch: null}
-    force_backend: null
-  inplace: null
-  backward: null
-
-- name: send_v2
-  inputs:
-  - typename: Tensor
-    name: x
-    optional: false
-    no_need_buffer: false
-    data_transform: {}
-  attrs:
-  - {typename: int, name: ring_id, default_value: '0'}
-  - {typename: int, name: peer, default_value: '0'}
-  - {typename: bool, name: use_calc_stream, default_value: 'false'}
-  - {typename: bool, name: dynamic_shape, default_value: 'false'}
-  outputs: []
-  no_need_buffer: null
-  data_transform: null
-  infer_meta:
-    func: SendV2InferMeta
-    param: [peer, ring_id]
-  kernel:
-    func: [send_v2]
-    param: [x, ring_id, dynamic_shape, peer, use_calc_stream]
-    backend: null
-    layout: null
-    data_type: null
-    dispatch: {send_v2: null}
-    force_backend: null
-  inplace: null
-  view: null
-  backward: null
-
-- name: recv_v2
-  inputs: []
-  attrs:
-  - {typename: 'int[]', name: out_shape, default_value: '{}'}
-  - {typename: DataType, name: dtype, default_value: 'DataType::FLOAT32'}
-  - {typename: int, name: peer, default_value: '0'}
-  - {typename: int, name: ring_id, default_value: '0'}
-  - {typename: bool, name: use_calc_stream, default_value: 'false'}
-  - {typename: bool, name: dynamic_shape, default_value: 'false'}
-  outputs:
-  - {typename: Tensor, name: out, optional: false, intermediate: false}
-  no_need_buffer: null
-  data_transform: null
-  infer_meta:
-    func: RecvV2InferMeta
-    param: [peer, dtype, out_shape]
-  kernel:
-    func: [recv_v2]
-    param: [ring_id, dynamic_shape, peer, out_shape, dtype, use_calc_stream]
-    backend: null
-    layout: null
-    data_type:
-      ordered: false
-      candidates: [dtype]
-      to_complex_flag: [false]
-    dispatch: {recv_v2: null}
-    force_backend: null
-  inplace: null
-  view: null
-
-- name : set_value
-  inputs:
-    - {typename: Tensor, name: x, optional: false, no_need_buffer: false, data_transform: {} }
-  attrs:
-    - {typename: 'int64_t[]', name: starts}
-    - {typename: 'int64_t[]', name: ends}
-    - {typename: 'int64_t[]', name: steps}
-    - {typename: 'int64_t[]', name: axes}
-    - {typename: 'int64_t[]', name: decrease_axes}
-    - {typename: 'int64_t[]', name: none_axes}
-    - {typename: 'int64_t[]', name: shape}
-    - {typename: 'Scalar[]', name: values}
-  outputs:
-    - {typename: Tensor, name: out, optional: false, intermediate: false}
-  infer_meta:
-    func: SetValueInferMeta
-    param: [x]
-  kernel:
-    func: [set_value]
-    param: [x, starts, ends, steps, axes, decrease_axes, none_axes, shape, values]
-  inplace: {out: x}
-  backward: set_value_grad
-
-- name : set_value_with_tensor
-  inputs:
-    - {typename: Tensor, name: x, optional: false, no_need_buffer: false, data_transform: {} }
-    - {typename: Tensor, name: values, optional: false, no_need_buffer: false, data_transform: {} }
-  attrs:
-    - {typename: 'int64_t[]', name: starts}
-    - {typename: 'int64_t[]', name: ends}
-    - {typename: 'int64_t[]', name: steps}
-    - {typename: 'int64_t[]', name: axes}
-    - {typename: 'int64_t[]', name: decrease_axes}
-    - {typename: 'int64_t[]', name: none_axes}
-  outputs:
-    - {typename: Tensor, name: out, optional: false, intermediate: false}
-  infer_meta:
-    func: SetValueInferMeta
-    param: [x]
-  kernel:
-    func: [set_value_with_tensor]
-    param: [x, values, starts, ends, steps, axes, decrease_axes, none_axes]
-  inplace: {out: x}
-  backward: set_value_grad
-
-
-- name : set_value_grad
-  inputs:
-    - {typename: Tensor, name: out_grad, optional: false, no_need_buffer: false, data_transform: {} }
-    - {typename: Tensor, name: values, optional: false, no_need_buffer: false, data_transform: {} }
-  attrs:
-    - {typename: 'int64_t[]', name: starts}
-    - {typename: 'int64_t[]', name: ends}
-    - {typename: 'int64_t[]', name: steps}
-    - {typename: 'int64_t[]', name: axes}
-    - {typename: 'int64_t[]', name: decrease_axes}
-    - {typename: 'int64_t[]', name: none_axes}
-  outputs:
-    - {typename: Tensor, name: x_grad, optional: false, intermediate: false}
-    - {typename: Tensor, name: values_grad, optional: false, intermediate: false}
-  infer_meta:
-    func: SetValueGradInferMeta
-    param: [out_grad, values]
-  kernel:
-    func: [set_value_grad]
-    param: [out_grad, starts, ends, steps, axes, decrease_axes, none_axes]
-  inplace: null
-  backward: null