# flake8: noqa
# Copyright (c) OpenMMLab. All rights reserved.
from .config import Config, ConfigDict, DictAction
from .misc import (check_prerequisites, concat_list, deprecated_api_warning,
                   has_method, import_modules_from_strings, is_list_of,
                   is_method_overridden, is_seq_of, is_str, is_tuple_of,
                   iter_cast, list_cast, requires_executable, requires_package,
                   slice_list, to_1tuple, to_2tuple, to_3tuple, to_4tuple,
                   to_ntuple, tuple_cast)
from .path import (check_file_exist, fopen, is_filepath, mkdir_or_exist,
                   scandir, symlink)
from .progressbar import (ProgressBar, track_iter_progress,
                          track_parallel_progress, track_progress)
from .testing import (assert_attrs_equal, assert_dict_contains_subset,
                      assert_dict_has_keys, assert_is_norm_layer,
                      assert_keys_equal, assert_params_all_zeros,
                      check_python_script)
from .timer import Timer, TimerError, check_time
from .version_utils import digit_version, get_git_hash

try:
    import torch
except ImportError:
    __all__ = [
        'Config', 'ConfigDict', 'DictAction', 'is_str', 'iter_cast',
        'list_cast', 'tuple_cast', 'is_seq_of', 'is_list_of', 'is_tuple_of',
        'slice_list', 'concat_list', 'check_prerequisites', 'requires_package',
        'requires_executable', 'is_filepath', 'fopen', 'check_file_exist',
        'mkdir_or_exist', 'symlink', 'scandir', 'ProgressBar',
        'track_progress', 'track_iter_progress', 'track_parallel_progress',
        'Timer', 'TimerError', 'check_time', 'deprecated_api_warning',
        'digit_version', 'get_git_hash', 'import_modules_from_strings',
        'assert_dict_contains_subset', 'assert_attrs_equal',
        'assert_dict_has_keys', 'assert_keys_equal', 'check_python_script',
        'to_1tuple', 'to_2tuple', 'to_3tuple', 'to_4tuple', 'to_ntuple',
        'is_method_overridden', 'has_method'
    ]
else:
    from .env import collect_env
    from .hub import load_url
    from .logging import get_logger, print_log
    from .parrots_jit import jit, skip_no_elena
    # yapf: disable
    from .parrots_wrapper import (TORCH_VERSION, BuildExtension, CppExtension,
                                  CUDAExtension, DataLoader, PoolDataLoader,
                                  SyncBatchNorm, _AdaptiveAvgPoolNd,
                                  _AdaptiveMaxPoolNd, _AvgPoolNd, _BatchNorm,
                                  _ConvNd, _ConvTransposeMixin, _get_cuda_home,
                                  _InstanceNorm, _MaxPoolNd, get_build_config,
                                  is_rocm_pytorch)
    # yapf: enable
    from .registry import Registry, build_from_cfg
    from .trace import is_jit_tracing
    __all__ = [
        'Config', 'ConfigDict', 'DictAction', 'collect_env', 'get_logger',
        'print_log', 'is_str', 'iter_cast', 'list_cast', 'tuple_cast',
        'is_seq_of', 'is_list_of', 'is_tuple_of', 'slice_list', 'concat_list',
        'check_prerequisites', 'requires_package', 'requires_executable',
        'is_filepath', 'fopen', 'check_file_exist', 'mkdir_or_exist',
        'symlink', 'scandir', 'ProgressBar', 'track_progress',
        'track_iter_progress', 'track_parallel_progress', 'Registry',
        'build_from_cfg', 'Timer', 'TimerError', 'check_time', 'SyncBatchNorm',
        '_AdaptiveAvgPoolNd', '_AdaptiveMaxPoolNd', '_AvgPoolNd', '_BatchNorm',
        '_ConvNd', '_ConvTransposeMixin', '_InstanceNorm', '_MaxPoolNd',
        'get_build_config', 'BuildExtension', 'CppExtension', 'CUDAExtension',
        'DataLoader', 'PoolDataLoader', 'TORCH_VERSION',
        'deprecated_api_warning', 'digit_version', 'get_git_hash',
        'import_modules_from_strings', 'jit', 'skip_no_elena',
        'assert_dict_contains_subset', 'assert_attrs_equal',
        'assert_dict_has_keys', 'assert_keys_equal', 'assert_is_norm_layer',
        'assert_params_all_zeros', 'check_python_script',
        'is_method_overridden', 'is_jit_tracing', 'is_rocm_pytorch',
        '_get_cuda_home', 'load_url', 'has_method'
    ]
