- 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: 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 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: {} 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 invoke: {func: add_n_impl, args: inputs} 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: py_func_ inputs: - {typename: 'Tensor', name: x, optional: false, no_need_buffer: false, data_transform: {}} attrs: - {typename: 'int', name: forward_callable_id, default_value: '0'} - {typename: 'int', name: backward_callable_id, default_value: '-1'} - {typename: 'str[]', name: backward_skip_vars, default_value: '{}'} outputs: - {typename: 'Tensor', name: out, optional: false, intermediate: false} no_need_buffer: null data_transform: null