






# Copyright 2022 The HuggingFace 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.

import argparse
import os
import subprocess

from packaging.version import Version, parse

from accelerate.commands.config.config_args import default_config_file, load_config_from_file


A	:		str    =       'Run commands across TPU VMs for initial setup before running `accelerate launch`.'






def 			UpperCamelCase (     __magic_name__					:							str=None					)       ->  Tuple:
		"""simple docstring"""




		if subparsers is not None:
				lowercase__					      =		subparsers.add_parser("""tpu-config"""   ,   description=_description					)
		else:
				lowercase__					      =		argparse.ArgumentParser("""Accelerate tpu-config command"""   ,   description=_description					)
		# Core arguments
		lowercase__					      =		parser.add_argument_group(
		    """Config Arguments"""   ,   """Arguments that can be configured through `accelerate config`."""					)
		config_args.add_argument(
		    """--config_file"""   ,   type=__magic_name__   ,   default=__magic_name__   ,   help="""Path to the config file to use for accelerate."""   ,   )
		config_args.add_argument(
		    """--tpu_name"""   ,   default=__magic_name__   ,   help="""The name of the TPU to use. If not specified, will use the TPU specified in the config file."""   ,   )
		config_args.add_argument(
		    """--tpu_zone"""   ,   default=__magic_name__   ,   help="""The zone of the TPU to use. If not specified, will use the zone specified in the config file."""   ,   )
		lowercase__					      =		parser.add_argument_group("""TPU Arguments"""   ,   """Arguments for options ran inside the TPU."""					)
		pod_args.add_argument(
		    """--use_alpha"""   ,   action="""store_true"""   ,   help="""Whether to use `gcloud alpha` when running the TPU training script instead of `gcloud`."""   ,   )
		pod_args.add_argument(
		    """--command_file"""   ,   default=__magic_name__   ,   help="""The path to the file containing the commands to run on the pod on startup."""   ,   )
		pod_args.add_argument(
		    """--command"""   ,   action="""append"""   ,   nargs="""+"""   ,   help="""A command to run on the pod. Can be passed multiple times."""   ,   )
		pod_args.add_argument(
		    """--install_accelerate"""   ,   action="""store_true"""   ,   help="""Whether to install accelerate on the pod. Defaults to False."""   ,   )
		pod_args.add_argument(
		    """--accelerate_version"""   ,   default="""latest"""   ,   help="""The version of accelerate to install on the pod. If not specified, will use the latest pypi version. Specify 'dev' to install from GitHub."""   ,   )
		pod_args.add_argument(
		    """--debug"""   ,   action="""store_true"""   ,   help="""If set, will print the command that would be run instead of running it."""					)

		if subparsers is not None:
				parser.set_defaults(func=__magic_name__					)
		return parser






def 			UpperCamelCase (     __magic_name__					:							int					)       ->  Optional[Any]:
		"""simple docstring"""




		lowercase__					      =		None

		# Get the default from the config file if it exists.
		if args.config_file is not None or os.path.isfile(__magic_name__					):
				lowercase__					      =		load_config_from_file(args.config_file					)
				if not args.command_file and defaults.command_file is not None and not args.command:
						lowercase__					      =		defaults.command_file
				if not args.command and defaults.commands is not None:
						lowercase__					      =		defaults.commands
				if not args.tpu_name:
						lowercase__					      =		defaults.tpu_name
				if not args.tpu_zone:
						lowercase__					      =		defaults.tpu_zone
		if args.accelerate_version == "dev":
				lowercase__					      =		"""git+https://github.com/huggingface/accelerate.git"""
		elif args.accelerate_version == "latest":
				lowercase__					      =		"""accelerate -U"""
		elif isinstance(parse(args.accelerate_version					)   ,   __magic_name__					):
				lowercase__					      =		f'''accelerate=={args.accelerate_version}'''

		if not args.command_file and not args.command:
				raise ValueError("""You must specify either a command file or a command to run on the pod."""					)

		if args.command_file:
				with open(args.command_file   ,   """r"""					) as f:
						lowercase__					      =		[f.read().splitlines()]

    # To turn list of lists into list of strings
		if isinstance(args.command[0]   ,   __magic_name__					):
				lowercase__					      =		[line for cmd in args.command for line in cmd]
		# Default to the shared folder and install accelerate
		lowercase__					      =		["""cd /usr/share"""]
		if args.install_accelerate:
				new_cmd += [f'''pip install {args.accelerate_version}''']
		new_cmd += args.command
		lowercase__					      =		"""; """.join(__magic_name__					)

		# Then send it to gcloud
		# Eventually try to use google-api-core to do this instead of subprocess
		lowercase__					      =		["""gcloud"""]
		if args.use_alpha:
				cmd += ["alpha"]
		cmd += [
		    "compute",
		    "tpus",
		    "tpu-vm",
		    "ssh",
		    args.tpu_name,
		    "--zone",
		    args.tpu_zone,
		    "--command",
		    args.command,
		    "--worker",
		    "all",
		]
		if args.debug:
				print(f'''Running {" ".join(__magic_name__					)}'''					)
				return
		subprocess.run(__magic_name__					)
		print("""Successfully setup pod."""					)







def 			UpperCamelCase (     )       ->  int:
		"""simple docstring"""




		lowercase__					      =		tpu_command_parser()
		lowercase__					      =		parser.parse_args()

		tpu_command_launcher(__magic_name__					)





from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
	import numpy as np
	import tensorflow as tf

	from transformers import TFXLMRobertaModel



@require_tf
@require_sentencepiece
@require_tokenizers
class 							A   (	unittest.TestCase							):
					'''simple docstring'''






					@slow
					def   lowerCamelCase__					(self   :						Any		)						->       Union[str, Any]:




							"""simple docstring"""


							lowercase__					      =		TFXLMRobertaModel.from_pretrained("""jplu/tf-xlm-roberta-base"""		)

							lowercase__					      =		{
							    """input_ids""": tf.convert_to_tensor([[0, 2646, 1_0269, 83, 9_9942, 2]]				, dtype=tf.intaa		),  # "My dog is cute"
							    """attention_mask""": tf.convert_to_tensor([[1, 1, 1, 1, 1, 1]]				, dtype=tf.intaa		),
							}

							lowercase__					      =		model(_UpperCAmelCase		)["""last_hidden_state"""]
							lowercase__					      =		tf.TensorShape((1, 6, 768)		)
							self.assertEqual(output.shape				, _UpperCAmelCase		)
							# compare the actual values for a slice.
							lowercase__					      =		tf.convert_to_tensor(
							    [
							        [
							            [0.0_681_762, 0.10_894_451, 0.06_772_504],
							            [-0.06_423_668, 0.02_366_615, 0.04_329_344],
							            [-0.06_057_295, 0.09_974_135, -0.00_070_584],
							        ]
							    ]				, dtype=tf.floataa				, )

							self.assertTrue(np.allclose(output[:, :3, :3].numpy()				, expected_slice.numpy()				, atol=1E-4		)		)

