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PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# TODO: import framework api under this directory
from ..base import core # noqa: F401
from ..base.core import ( # noqa: F401
CPUPlace,
CUDAPinnedPlace,
CUDAPlace,
CustomPlace,
IPUPlace,
XPUPinnedPlace,
XPUPlace,
)
from ..base.dygraph import base # noqa: F401
from ..base.dygraph.base import ( # noqa: F401
disable_dygraph as enable_static,
enable_dygraph as disable_static,
grad,
no_grad_ as no_grad,
)
from ..base.framework import ( # noqa: F401
Block,
IrGraph,
OpProtoHolder,
Parameter,
Program,
_apply_pass,
_create_tensor,
_current_expected_place,
_current_expected_place_,
_dygraph_tracer,
_get_paddle_place,
_global_flags,
_set_expected_place,
_stride_in_no_check_dy2st_diff as _no_check_dy2st_diff,
convert_np_dtype_to_dtype_,
deprecate_stat_dict,
disable_signal_handler,
dygraph_not_support,
dygraph_only,
generate_control_dev_var_name,
get_flags,
in_dygraph_mode as in_dynamic_mode,
in_dynamic_or_pir_mode,
in_pir_executor_mode,
in_pir_mode,
set_flags,
switch_main_program,
switch_startup_program,
use_pir_api,
)
from ..base.layer_helper import LayerHelper # noqa: F401
from .io import async_save, clear_async_save_task_queue # noqa: F401
# isort: off
# Do the *DUPLICATED* monkey-patch for the tensor object.
# We need remove the duplicated code here once we fix
# the illogical implement in the monkey-patch methods later.
from ..base.dygraph.math_op_patch import monkey_patch_math_tensor # noqa: F401
from ..base.layers.math_op_patch import monkey_patch_variable # noqa: F401
2022-02-22 15:07:11 +08:00
# isort: on
from ..base.param_attr import ParamAttr # noqa: F401
from . import random # noqa: F401
from .framework import get_default_dtype, set_default_dtype # noqa: F401
from .io import load, save # noqa: F401
from .io_utils import ( # noqa: F401
_clone_var_in_block_,
_load_program_scope,
_open_file_buffer,
_pack_loaded_dict,
_pickle_loads_mac,
_unpack_saved_dict,
is_belong_to_optimizer,
is_parameter,
is_persistable,
)
from .random import seed # noqa: F401
__all__ = []