

"""simple docstring"""
from typing import List

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_A							=  logging.get_logger(__name__)

_A							=  {
    """snap-research/efficientformer-l1-300""": (
        """https://huggingface.co/snap-research/efficientformer-l1-300/resolve/main/config.json"""
    ),
}

class       lowerCamelCase	(       lowerCAmelCase__   ):


  '''simple docstring'''







  SCREAMING_SNAKE_CASE					      =  'efficientformer'



  def __init__(self							,       _lowerCamelCase = [3, 2, 6, 4]							,       _lowerCamelCase = [48, 96, 224, 448]							,       _lowerCamelCase = [True, True, True, True]							,       _lowerCamelCase = 448							,       _lowerCamelCase = 32							,       _lowerCamelCase = 4							,       _lowerCamelCase = 7							,       _lowerCamelCase = 5							,       _lowerCamelCase = 8							,       _lowerCamelCase = 4							,       _lowerCamelCase = 0.0							,       _lowerCamelCase = 16							,       _lowerCamelCase = 3							,       _lowerCamelCase = 3							,       _lowerCamelCase = 3							,       _lowerCamelCase = 2							,       _lowerCamelCase = 1							,       _lowerCamelCase = 0.0							,       _lowerCamelCase = 1							,       _lowerCamelCase = True							,       _lowerCamelCase = True							,       _lowerCamelCase = 1e-5							,       _lowerCamelCase = "gelu"							,       _lowerCamelCase = 0.02							,       _lowerCamelCase = 1e-12							,       _lowerCamelCase = 224							,       _lowerCamelCase = 1e-05							,       **_lowerCamelCase							,       ):


        """simple docstring"""

        super().__init__(**_lowerCamelCase	)

        UpperCAmelCase__			:							Any							=    hidden_act
        UpperCAmelCase__			:							List[Any]							=    hidden_dropout_prob
        UpperCAmelCase__			:							List[Any]							=    hidden_sizes
        UpperCAmelCase__			:							Optional[Any]							=    num_hidden_layers
        UpperCAmelCase__			:							List[Any]							=    num_attention_heads
        UpperCAmelCase__			:							int							=    initializer_range
        UpperCAmelCase__			:							List[Any]							=    layer_norm_eps
        UpperCAmelCase__			:							List[str]							=    patch_size
        UpperCAmelCase__			:							Dict							=    num_channels
        UpperCAmelCase__			:							Any							=    depths
        UpperCAmelCase__			:							Tuple							=    mlp_expansion_ratio
        UpperCAmelCase__			:							Union[str, Any]							=    downsamples
        UpperCAmelCase__			:							Tuple							=    dim
        UpperCAmelCase__			:							Tuple							=    key_dim
        UpperCAmelCase__			:							Optional[Any]							=    attention_ratio
        UpperCAmelCase__			:							Union[str, Any]							=    resolution
        UpperCAmelCase__			:							List[Any]							=    pool_size
        UpperCAmelCase__			:							List[Any]							=    downsample_patch_size
        UpperCAmelCase__			:							List[Any]							=    downsample_stride
        UpperCAmelCase__			:							Dict							=    downsample_pad
        UpperCAmelCase__			:							List[Any]							=    drop_path_rate
        UpperCAmelCase__			:							Dict							=    num_metaad_blocks
        UpperCAmelCase__			:							List[str]							=    distillation
        UpperCAmelCase__			:							Optional[Any]							=    use_layer_scale
        UpperCAmelCase__			:							Any							=    layer_scale_init_value
        UpperCAmelCase__			:							Any							=    image_size
        UpperCAmelCase__			:							List[Any]							=    batch_norm_eps




"""simple docstring"""
# Copyright 2022 The HuggingFace Team and The OpenBMB Team. 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.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


_A							=  {
    """configuration_cpmant""": ["""CPMANT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CpmAntConfig"""],
    """tokenization_cpmant""": ["""CpmAntTokenizer"""],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _A							=  [
        """CPMANT_PRETRAINED_MODEL_ARCHIVE_LIST""",
        """CpmAntForCausalLM""",
        """CpmAntModel""",
        """CpmAntPreTrainedModel""",
    ]


if TYPE_CHECKING:
    from .configuration_cpmant import CPMANT_PRETRAINED_CONFIG_ARCHIVE_MAP, CpmAntConfig
    from .tokenization_cpmant import CpmAntTokenizer

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_cpmant import (
            CPMANT_PRETRAINED_MODEL_ARCHIVE_LIST,
            CpmAntForCausalLM,
            CpmAntModel,
            CpmAntPreTrainedModel,
        )


else:
    import sys

    _A							=  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

