__init__.py 7.0 KB
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#   Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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#
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# 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
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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
# 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.

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from __future__ import print_function
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import os
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import sys
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import atexit
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# The legacy core need to be removed before "import core",
# in case of users installing paddlepadde without -U option
core_suffix = 'so'
if os.name == 'nt':
    core_suffix = 'pyd'

legacy_core = os.path.abspath(os.path.dirname(
    __file__)) + os.sep + 'core.' + core_suffix
if os.path.exists(legacy_core):
    sys.stderr.write('Deleting legacy file ' + legacy_core + '\n')
    try:
        os.remove(legacy_core)
    except Exception as e:
        raise e

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# import all class inside framework into fluid module
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from . import framework
from .framework import *
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# import all class inside executor into fluid module
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from . import executor
from .executor import *
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from . import data_feed_desc
from .data_feed_desc import *

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from . import dataset
from .dataset import *

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from .data import *

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from . import trainer_desc
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from . import io
from . import evaluator
from . import initializer
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from .initializer import set_global_initializer
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from . import layers
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from . import dygraph
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from . import eager
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from . import contrib
from . import nets
from . import optimizer
from . import backward
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from .backward import gradients
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from . import regularizer
from . import average
from . import metrics
from . import transpiler
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from . import incubate
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from .input import embedding, one_hot
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from . import distribute_lookup_table
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from .param_attr import ParamAttr, WeightNormParamAttr
from .data_feeder import DataFeeder
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from .core import LoDTensor, LoDTensorArray, Scope, _Scope
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from .core import CPUPlace, XPUPlace, CUDAPlace, CUDAPinnedPlace, NPUPlace, IPUPlace
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from .incubate import fleet
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from .transpiler import DistributeTranspiler, \
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    memory_optimize, release_memory, DistributeTranspilerConfig
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from .lod_tensor import create_lod_tensor, create_random_int_lodtensor
from . import clip
from . import profiler
from . import unique_name
from . import parallel_executor
from .parallel_executor import *
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from . import compiler
from .compiler import *
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from paddle.fluid.layers.math_op_patch import monkey_patch_variable
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from . import install_check
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from .dygraph.nn import *
from .dygraph.layers import *
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from .dygraph.base import enable_dygraph, disable_dygraph
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from .io import save, load, load_program_state, set_program_state
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from .dygraph.checkpoint import save_dygraph, load_dygraph
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from .dygraph.varbase_patch_methods import monkey_patch_varbase
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from .eager.eager_tensor_patch_methods import monkey_patch_eagertensor
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from . import generator
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from .core import _cuda_synchronize
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from .generator import Generator
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from .trainer_desc import TrainerDesc, DistMultiTrainer, PipelineTrainer, HeterPipelineTrainer, MultiTrainer, HeterXpuTrainer
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from .transpiler import HashName, RoundRobin
from .backward import append_backward
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Tensor = LoDTensor
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enable_imperative = enable_dygraph
disable_imperative = disable_dygraph
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__all__ = framework.__all__ + executor.__all__ + \
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    trainer_desc.__all__ + transpiler.__all__ + \
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    parallel_executor.__all__ + lod_tensor.__all__ + \
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    data_feed_desc.__all__ + compiler.__all__ + backward.__all__  + generator.__all__ + [
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        'io',
        'initializer',
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        'embedding',
        'one_hot',
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        'layers',
        'contrib',
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        'data',
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        'dygraph',
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        'eager',
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        'enable_dygraph',
        'disable_dygraph',
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        'enable_imperative',
        'disable_imperative',
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        'transpiler',
        'nets',
        'optimizer',
        'backward',
        'regularizer',
        'LoDTensor',
        'LoDTensorArray',
        'CPUPlace',
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        'XPUPlace',
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        'CUDAPlace',
        'CUDAPinnedPlace',
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        'NPUPlace',
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        'IPUPlace',
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        'Tensor',
        'ParamAttr',
        'WeightNormParamAttr',
        'DataFeeder',
        'clip',
        'profiler',
        'unique_name',
        'Scope',
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        'install_check',
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        'save',
        'load',
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        '_cuda_synchronize'
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    ]
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def __bootstrap__():
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    """
    Enable reading gflags from environment variables.
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    Returns:
        None
    """
    import sys
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    import os
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    import platform
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    from . import core
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    # NOTE(zhiqiu): When (1)numpy < 1.19; (2) python < 3.7, 
    # unittest is always imported in numpy (maybe some versions not). 
    # so is_test is True and p2p is not inited.
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    in_test = 'unittest' in sys.modules

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    try:
        num_threads = int(os.getenv('OMP_NUM_THREADS', '1'))
    except ValueError:
        num_threads = 1

    if num_threads > 1:
        print(
            'WARNING: OMP_NUM_THREADS set to {0}, not 1. The computation '
            'speed will not be optimized if you use data parallel. It will '
            'fail if this PaddlePaddle binary is compiled with OpenBlas since'
            ' OpenBlas does not support multi-threads.'.format(num_threads),
            file=sys.stderr)
        print('PLEASE USE OMP_NUM_THREADS WISELY.', file=sys.stderr)

    os.environ['OMP_NUM_THREADS'] = str(num_threads)
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    flag_prefix = "FLAGS_"
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    read_env_flags = [
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        key[len(flag_prefix):] for key in core.globals().keys()
        if key.startswith(flag_prefix)
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    ]
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    def remove_flag_if_exists(name):
        if name in read_env_flags:
            read_env_flags.remove(name)
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    sysstr = platform.system()
    if 'Darwin' in sysstr:
        remove_flag_if_exists('use_pinned_memory')
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    if os.name == 'nt':
        remove_flag_if_exists('cpu_deterministic')
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    if core.is_compiled_with_ipu():
        # Currently we request all ipu available for training and testing
        #   finer control of pod of IPUs will be added later
        read_env_flags += []

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    core.init_gflags(["--tryfromenv=" + ",".join(read_env_flags)])
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    # Note(zhouwei25): sys may not have argv in some cases, 
    # Such as: use Python/C API to call Python from C++
    try:
        core.init_glog(sys.argv[0])
    except Exception:
        sys.argv = [""]
        core.init_glog(sys.argv[0])
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    # don't init_p2p when in unittest to save time.
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    core.init_devices()
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# TODO(panyx0718): Avoid doing complex initialization logic in __init__.py.
# Consider paddle.init(args) or paddle.main(args)
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monkey_patch_variable()
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__bootstrap__()
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monkey_patch_varbase()
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monkey_patch_eagertensor()
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# NOTE(zhiqiu): register npu_finalize on the exit of Python,
# do some clean up manually.
if core.is_compiled_with_npu():
    atexit.register(core.npu_finalize)
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# NOTE(Aurelius84): clean up ExecutorCacheInfo in advance manually.
atexit.register(core.clear_executor_cache)