






'''simple docstring'''







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 	SCREAMING_SNAKE_CASE					(					unittest.TestCase       ):






			@slow
			def 			SCREAMING_SNAKE_CASE      ( self      :			Union[str, Any]					)			->			Optional[Any]:
							a_		:  Union[str, Any]											=      TFXLMRobertaModel.from_pretrained('''jplu/tf-xlm-roberta-base'''					)

							a_		:  str											=      {
							    '''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					),
							}

							a_		:  str											=      model(__SCREAMING_SNAKE_CASE					)['''last_hidden_state''']
							a_		:  Optional[int]											=      tf.TensorShape((1, 6, 768)					)
							self.assertEqual(output.shape  ,						__SCREAMING_SNAKE_CASE					)
							# compare the actual values for a slice.
							a_		:  Tuple											=      tf.convert_to_tensor(
							    [
							        [
							            [0.068_1762, 0.1089_4451, 0.0677_2504],
							            [-0.0642_3668, 0.0236_6615, 0.0432_9344],
							            [-0.0605_7295, 0.0997_4135, -0.0007_0584],
							        ]
							    ]  ,						dtype=tf.floataa  ,						)

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












'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCAmelCase       		=      {
    'configuration_git': ['GIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GitConfig', 'GitVisionConfig'],
    'processing_git': ['GitProcessor'],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__lowerCAmelCase       		=      [
		    'GIT_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'GitForCausalLM',
		    'GitModel',
		    'GitPreTrainedModel',
		    'GitVisionModel',
		]

if TYPE_CHECKING:
		from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
		from .processing_git import GitProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_git import (
				    GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    GitForCausalLM,
				    GitModel,
				    GitPreTrainedModel,
				    GitVisionModel,
				)

else:
		import sys

		__lowerCAmelCase       		=      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




