chore: import upstream snapshot with attribution
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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# TODO: import framework api under this directory
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from ..base import core # noqa: F401
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from ..base.core import ( # noqa: F401
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CPUPlace,
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CUDAPinnedPlace,
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CUDAPlace,
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CustomPlace,
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IPUPlace,
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XPUPinnedPlace,
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XPUPlace,
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)
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from ..base.dygraph import base # noqa: F401
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from ..base.dygraph.base import ( # noqa: F401
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disable_dygraph as enable_static,
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enable_dygraph as disable_static,
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grad,
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no_grad_ as no_grad,
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)
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from ..base.framework import ( # noqa: F401
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Block,
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IrGraph,
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OpProtoHolder,
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Parameter,
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Program,
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_apply_pass,
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_create_tensor,
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_current_expected_place,
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_current_expected_place_,
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_dygraph_tracer,
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_get_paddle_place,
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_global_flags,
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_set_expected_place,
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_stride_in_no_check_dy2st_diff as _no_check_dy2st_diff,
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_to_pinned_place,
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convert_nptype_to_datatype_or_vartype,
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convert_nptype_to_vartype,
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convert_to_datatype,
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convert_to_vartype,
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deprecate_stat_dict,
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disable_signal_handler,
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dygraph_not_support,
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dygraph_only,
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generate_control_dev_var_name,
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get_flags,
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in_dygraph_mode as in_dynamic_mode,
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in_dynamic_or_pir_mode,
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in_pir_executor_mode,
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in_pir_mode,
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set_flags,
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switch_main_program,
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switch_startup_program,
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use_pir_api,
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)
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from ..base.layer_helper import LayerHelper # noqa: F401
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from .io import async_save, clear_async_save_task_queue # noqa: F401
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# isort: off
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# Do the *DUPLICATED* monkey-patch for the tensor object.
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# We need remove the duplicated code here once we fix
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# the illogical implement in the monkey-patch methods later.
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from ..base.dygraph.math_op_patch import monkey_patch_math_tensor # noqa: F401
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from ..base.layers.math_op_patch import monkey_patch_variable # noqa: F401
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# isort: on
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from ..base.param_attr import ParamAttr # noqa: F401
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from . import random # noqa: F401
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from .framework import ( # noqa: F401
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get_default_dtype,
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set_default_dtype,
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set_default_tensor_type,
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)
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from .io import load, save # noqa: F401
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from .io_utils import ( # noqa: F401
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_clone_var_in_block_,
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_load_program_scope,
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_open_file_buffer,
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_pack_loaded_dict,
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_pickle_loads_mac,
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_unpack_saved_dict,
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is_belong_to_optimizer,
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is_parameter,
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is_persistable,
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)
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from .random import seed # noqa: F401
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__all__ = []
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