




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 TFCamembertModel




@require_tf
@require_sentencepiece
@require_tokenizers
class 		__A   (      unittest.TestCase      ):

						@slow
						def      A__    (		self :Any			):
										'''simple docstring'''

										__magic_name__						:						str										=TFCamembertModel.from_pretrained("""jplu/tf-camembert-base"""			)

										__magic_name__						:						Dict										=tf.convert_to_tensor(
										    [[5, 1_21, 11, 6_60, 16, 7_30, 2_55_43, 1_10, 83, 6]]     ,			dtype=tf.intaa     ,			)  # J'aime le camembert !"

										__magic_name__						:						Any										=model(__snake_case			)["""last_hidden_state"""]
										__magic_name__						:						Any										=tf.TensorShape((1, 10, 7_68)			)
										self.assertEqual(output.shape     ,			__snake_case			)
										# compare the actual values for a slice.
										__magic_name__						:						List[str]										=tf.convert_to_tensor(
										    [[[-0.0254, 0.0235, 0.1027], [0.0606, -0.1811, -0.0418], [-0.1561, -0.1127, 0.2687]]]     ,			dtype=tf.floataa     ,			)
										# camembert = torch.hub.load('pytorch/fairseq', 'camembert.v0')
										# camembert.eval()
										# expected_slice = roberta.model.forward(input_ids)[0][:, :3, :3].detach()

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










import unittest

from accelerate import debug_launcher
from accelerate.test_utils import require_cpu, test_ops, test_script




@require_cpu
class 		__A   (      unittest.TestCase      ):

						def      A__    (		self :Tuple			):
										'''simple docstring'''

										debug_launcher(test_script.main			)


						def      A__    (		self :Dict			):
										'''simple docstring'''

										debug_launcher(test_ops.main			)




