'''simple docstring'''




import importlib.util
import os
import platform
from argparse import ArgumentParser

import huggingface_hub

from .. import __version__ as version
from ..utils import (
    is_accelerate_available,
    is_flax_available,
    is_safetensors_available,
    is_tf_available,
    is_torch_available,
)
from . import BaseTransformersCLICommand






def 				snake_case__							(			_A:					Optional[int] )    ->	Tuple:

		'''simple docstring'''


		return EnvironmentCommand()






def 				snake_case__							(			_A:					List[Any] )    ->	int:

		'''simple docstring'''


		return EnvironmentCommand(args.accelerate_config_file )






class 				a__(					lowerCAmelCase__	):


			'''simple docstring'''






			@staticmethod
			def 							a_       (   __lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase   					=  parser.add_parser("""env""")
					download_parser.set_defaults(func=__lowerCAmelCase)
					download_parser.add_argument(
					    """--accelerate-config_file"""       ,    default=__lowerCAmelCase       ,    help="""The accelerate config file to use for the default values in the launching script."""       ,    )
					download_parser.set_defaults(func=__lowerCAmelCase)



			def __init__(   self       ,    __lowerCAmelCase       ,    *__lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase   					=  accelerate_config_file



			def 							a_       (   self):




					"""simple docstring"""


					lowerCAmelCase   					=  """not installed"""
					if is_safetensors_available():
							import safetensors

							lowerCAmelCase   					=  safetensors.__version__
					elif importlib.util.find_spec("""safetensors""") is not None:
							import safetensors

							lowerCAmelCase   					=  f"{safetensors.__version__} but is ignored because of PyTorch version too old."

					lowerCAmelCase   					=  """not installed"""
					lowerCAmelCase   					=  lowerCAmelCase   					=  """not found"""
					if is_accelerate_available():
							import accelerate
							from accelerate.commands.config import default_config_file, load_config_from_file

							lowerCAmelCase   					=  accelerate.__version__
							# Get the default from the config file.
							if self._accelerate_config_file is not None or os.path.isfile(__lowerCAmelCase):
									lowerCAmelCase   					=  load_config_from_file(self._accelerate_config_file).to_dict()

							lowerCAmelCase   					=  (
							    """\n""".join([f"\t- {prop}: {val}" for prop, val in accelerate_config.items()])
							    if isinstance(__lowerCAmelCase       ,    __lowerCAmelCase)
							    else f"\t{accelerate_config}"
							)

					lowerCAmelCase   					=  """not installed"""
					lowerCAmelCase   					=  """NA"""
					if is_torch_available():
							import torch

							lowerCAmelCase   					=  torch.__version__
							lowerCAmelCase   					=  torch.cuda.is_available()

					lowerCAmelCase   					=  """not installed"""
					lowerCAmelCase   					=  """NA"""
					if is_tf_available():
							import tensorflow as tf

							lowerCAmelCase   					=  tf.__version__
							try:
									# deprecated in v2.1
									lowerCAmelCase   					=  tf.test.is_gpu_available()
							except AttributeError:
									# returns list of devices, convert to bool
									lowerCAmelCase   					=  bool(tf.config.list_physical_devices("""GPU"""))

					lowerCAmelCase   					=  """not installed"""
					lowerCAmelCase   					=  """not installed"""
					lowerCAmelCase   					=  """not installed"""
					lowerCAmelCase   					=  """NA"""
					if is_flax_available():
							import flax
							import jax
							import jaxlib

							lowerCAmelCase   					=  flax.__version__
							lowerCAmelCase   					=  jax.__version__
							lowerCAmelCase   					=  jaxlib.__version__
							lowerCAmelCase   					=  jax.lib.xla_bridge.get_backend().platform

					lowerCAmelCase   					=  {
					    """`transformers` version""": version,
					    """Platform""": platform.platform(),
					    """Python version""": platform.python_version(),
					    """Huggingface_hub version""": huggingface_hub.__version__,
					    """Safetensors version""": f"{safetensors_version}",
					    """Accelerate version""": f"{accelerate_version}",
					    """Accelerate config""": f"{accelerate_config_str}",
					    """PyTorch version (GPU?)""": f"{pt_version} ({pt_cuda_available})",
					    """Tensorflow version (GPU?)""": f"{tf_version} ({tf_cuda_available})",
					    """Flax version (CPU?/GPU?/TPU?)""": f"{flax_version} ({jax_backend})",
					    """Jax version""": f"{jax_version}",
					    """JaxLib version""": f"{jaxlib_version}",
					    """Using GPU in script?""": """<fill in>""",
					    """Using distributed or parallel set-up in script?""": """<fill in>""",
					}

					print("""\nCopy-and-paste the text below in your GitHub issue and FILL OUT the two last points.\n""")
					print(self.format_dict(__lowerCAmelCase))

					return info







			@staticmethod
			def 							a_       (   __lowerCAmelCase):




					"""simple docstring"""


					return "\n".join([f"- {prop}: {val}" for prop, val in d.items()]) + "\n"





'''simple docstring'''




from __future__ import annotations

from typing import Dict

from ...configuration_utils import PretrainedConfig


__lowercase          =  {
    '''susnato/ernie-m-base_pytorch''': '''https://huggingface.co/susnato/ernie-m-base_pytorch/blob/main/config.json''',
    '''susnato/ernie-m-large_pytorch''': '''https://huggingface.co/susnato/ernie-m-large_pytorch/blob/main/config.json''',
}






class 				a__(					lowerCAmelCase__	):


			'''simple docstring'''






			UpperCAmelCase_			:     List[str]      =       '''ernie_m'''
			UpperCAmelCase_			:     Dict[str, str]      =       {"dropout": "classifier_dropout", "num_classes": "num_labels"}



			def __init__(   self       ,    __lowerCAmelCase = 250002       ,    __lowerCAmelCase = 768       ,    __lowerCAmelCase = 12       ,    __lowerCAmelCase = 12       ,    __lowerCAmelCase = 3072       ,    __lowerCAmelCase = "gelu"       ,    __lowerCAmelCase = 0.1       ,    __lowerCAmelCase = 0.1       ,    __lowerCAmelCase = 514       ,    __lowerCAmelCase = 0.02       ,    __lowerCAmelCase = 1       ,    __lowerCAmelCase = 1E-0_5       ,    __lowerCAmelCase=None       ,    __lowerCAmelCase=False       ,    __lowerCAmelCase=0.0       ,    **__lowerCAmelCase       ,    ):




					"""simple docstring"""


					super().__init__(pad_token_id=__lowerCAmelCase       ,    **__lowerCAmelCase)
					lowerCAmelCase   					=  vocab_size
					lowerCAmelCase   					=  hidden_size
					lowerCAmelCase   					=  num_hidden_layers
					lowerCAmelCase   					=  num_attention_heads
					lowerCAmelCase   					=  intermediate_size
					lowerCAmelCase   					=  hidden_act
					lowerCAmelCase   					=  hidden_dropout_prob
					lowerCAmelCase   					=  attention_probs_dropout_prob
					lowerCAmelCase   					=  max_position_embeddings
					lowerCAmelCase   					=  initializer_range
					lowerCAmelCase   					=  layer_norm_eps
					lowerCAmelCase   					=  classifier_dropout
					lowerCAmelCase   					=  is_decoder
					lowerCAmelCase   					=  act_dropout




