



'''simple docstring'''





import operator as op


lowercase_	 =						"scaler.pt"
lowercase_	 =						"pytorch_model"
lowercase_	 =						"random_states"
lowercase_	 =						"optimizer"
lowercase_	 =						"scheduler"
lowercase_	 =						"pytorch_model.bin"
lowercase_	 =						"pytorch_model.bin.index.json"
lowercase_	 =						"model.safetensors"
lowercase_	 =						"model.safetensors.index.json"
lowercase_	 =						"1.10.2"
lowercase_	 =						"py38"
lowercase_	 =						"4.17.0"
lowercase_	 =						["ml.p3.16xlarge", "ml.p3dn.24xlarge", "ml.p4dn.24xlarge"]
lowercase_	 =						["FULL_SHARD", "SHARD_GRAD_OP", "NO_SHARD", "HYBRID_SHARD", "HYBRID_SHARD_ZERO2"]
lowercase_	 =						["TRANSFORMER_BASED_WRAP", "SIZE_BASED_WRAP", "NO_WRAP"]
lowercase_	 =						["BACKWARD_PRE", "BACKWARD_POST", "NO_PREFETCH"]
lowercase_	 =						["FULL_STATE_DICT", "LOCAL_STATE_DICT", "SHARDED_STATE_DICT"]
lowercase_	 =						"2.0.1"
lowercase_	 =						["pdsh", "standard", "openmpi", "mvapich"]
lowercase_	 =						["default", "reduce-overhead", "max-autotune"]

lowercase_	 =						{">": op.gt, ">=": op.ge, "==": op.eq, "!=": op.ne, "<=": op.le, "<": op.lt}

# These are the args for `torch.distributed.launch` for pytorch < 1.9
lowercase_	 =						[
    "nnodes",
    "nproc_per_node",
    "rdzv_backend",
    "rdzv_endpoint",
    "rdzv_id",
    "rdzv_conf",
    "standalone",
    "max_restarts",
    "monitor_interval",
    "start_method",
    "role",
    "module",
    "m",
    "no_python",
    "run_path",
    "log_dir",
    "r",
    "redirects",
    "t",
    "tee",
    "node_rank",
    "master_addr",
    "master_port",
]

lowercase_	 =						["DEEPSPEED", "MULTI_GPU", "FSDP", "MEGATRON_LM"]
lowercase_	 =						["DEEPSPEED", "MULTI_XPU", "FSDP"]










'''simple docstring'''





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


lowercase_	 =						logging.get_logger(__name__)

# TODO: upload to AWS
lowercase_	 =						{
    "yjernite/retribert-base-uncased": (
        "https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/config.json"
    ),
}






class __A    (						A		):



 '''simple docstring'''







 __lowerCamelCase					: Optional[Any]    = 'retribert'



 def __init__(self				,     A=30_522				,     A=768				,     A=8				,     A=12				,     A=3_072				,     A="gelu"				,     A=0.1				,     A=0.1				,     A=512				,     A=2				,     A=0.02				,     A=1E-12				,     A=True				,     A=128				,     A=0				,     **A				,     )					->  Any:


      """simple docstring"""



      super().__init__(pad_token_id=A				,     **A )

      _a											=						vocab_size
      _a											=						hidden_size
      _a											=						num_hidden_layers
      _a											=						num_attention_heads
      _a											=						hidden_act
      _a											=						intermediate_size
      _a											=						hidden_dropout_prob
      _a											=						attention_probs_dropout_prob
      _a											=						max_position_embeddings
      _a											=						type_vocab_size
      _a											=						initializer_range
      _a											=						layer_norm_eps
      _a											=						share_encoders
      _a											=						projection_dim



