





import inspect
import os
import unittest

import torch

import accelerate
from accelerate import Accelerator
from accelerate.test_utils import execute_subprocess_async, require_multi_gpu
from accelerate.utils import patch_environment

class     __SCREAMING_SNAKE_CASE   (       unittest.TestCase    ):






							def 			_lowerCamelCase						(  self					):
														UpperCamelCase__			       =     inspect.getfile(accelerate.test_utils					)
														UpperCamelCase__			       =     os.path.sep.join(mod_file.split(os.path.sep					)[:-1] + ["""scripts""", """test_script.py"""]					)
														UpperCamelCase__			       =     os.path.sep.join(
														    mod_file.split(os.path.sep					)[:-1] + ["""scripts""", """test_distributed_data_loop.py"""]					)
														UpperCamelCase__			       =     os.path.sep.join(mod_file.split(os.path.sep					)[:-1] + ["""scripts""", """test_ops.py"""]					)






							@require_multi_gpu
							def 			_lowerCamelCase						(  self					):
														print(f"""Found {torch.cuda.device_count()} devices."""					)
														UpperCamelCase__			       =     ["""torchrun""", f"""--nproc_per_node={torch.cuda.device_count()}""", self.test_file_path]
														with patch_environment(omp_num_threads=1					):
																					execute_subprocess_async(_lowercase					,	env=os.environ.copy()					)






							@require_multi_gpu
							def 			_lowerCamelCase						(  self					):
														print(f"""Found {torch.cuda.device_count()} devices."""					)
														UpperCamelCase__			       =     ["""torchrun""", f"""--nproc_per_node={torch.cuda.device_count()}""", self.operation_file_path]
														print(f"""Command: {cmd}"""					)
														with patch_environment(omp_num_threads=1					):
																					execute_subprocess_async(_lowercase					,	env=os.environ.copy()					)






							@require_multi_gpu
							def 			_lowerCamelCase						(  self					):
														UpperCamelCase__			       =     ["""torchrun""", f"""--nproc_per_node={torch.cuda.device_count()}""", inspect.getfile(self.__class__					)]
														with patch_environment(omp_num_threads=1					):
																					execute_subprocess_async(_lowercase					,	env=os.environ.copy()					)







							@require_multi_gpu
							def 			_lowerCamelCase						(  self					):
														print(f"""Found {torch.cuda.device_count()} devices, using 2 devices only"""					)
														UpperCamelCase__			       =     ["""torchrun""", f"""--nproc_per_node={torch.cuda.device_count()}""", self.data_loop_file_path]
														with patch_environment(omp_num_threads=1					,	cuda_visible_devices="""0,1"""					):
																					execute_subprocess_async(_lowercase					,	env=os.environ.copy()					)


if __name__ == "__main__":
					UpperCamelCase__     =   Accelerator()
					UpperCamelCase__     =   (accelerator.state.process_index + 2, 10)
					UpperCamelCase__     =   torch.randint(0, 10, shape).to(accelerator.device)

					UpperCamelCase__     =   """"""

					UpperCamelCase__     =   accelerator.pad_across_processes(tensor)
					if tensora.shape[0] != accelerator.state.num_processes + 1:
										error_msg += f"Found shape {tensora.shape} but should have {accelerator.state.num_processes + 1} at dim 0."
					if not torch.equal(tensora[: accelerator.state.process_index + 2], tensor):
										error_msg += "Tensors have different values."
					if not torch.all(tensora[accelerator.state.process_index + 2 :] == 0):
										error_msg += "Padding was not done with the right value (0)."

					UpperCamelCase__     =   accelerator.pad_across_processes(tensor, pad_first=True)
					if tensora.shape[0] != accelerator.state.num_processes + 1:
										error_msg += f"Found shape {tensora.shape} but should have {accelerator.state.num_processes + 1} at dim 0."
					UpperCamelCase__     =   accelerator.state.num_processes - accelerator.state.process_index - 1
					if not torch.equal(tensora[index:], tensor):
										error_msg += "Tensors have different values."
					if not torch.all(tensora[:index] == 0):
										error_msg += "Padding was not done with the right value (0)."

					# Raise error at the end to make sure we don't stop at the first failure.
					if len(error_msg) > 0:
										raise ValueError(error_msg)











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


UpperCamelCase__     =	logging.get_logger(__name__)

UpperCamelCase__     =	{
    "microsoft/cvt-13": "https://huggingface.co/microsoft/cvt-13/resolve/main/config.json",
    # See all Cvt models at https://huggingface.co/models?filter=cvt
}

class     __SCREAMING_SNAKE_CASE   (       _a    ):
							snake_case       : int         =    """cvt"""






							def __init__(  self					,	__lowerCAmelCase=3					,	__lowerCAmelCase=[7, 3, 3]					,	__lowerCAmelCase=[4, 2, 2]					,	__lowerCAmelCase=[2, 1, 1]					,	__lowerCAmelCase=[64, 192, 384]					,	__lowerCAmelCase=[1, 3, 6]					,	__lowerCAmelCase=[1, 2, 10]					,	__lowerCAmelCase=[4.0, 4.0, 4.0]					,	__lowerCAmelCase=[0.0, 0.0, 0.0]					,	__lowerCAmelCase=[0.0, 0.0, 0.0]					,	__lowerCAmelCase=[0.0, 0.0, 0.1]					,	__lowerCAmelCase=[True, True, True]					,	__lowerCAmelCase=[False, False, True]					,	__lowerCAmelCase=["dw_bn", "dw_bn", "dw_bn"]					,	__lowerCAmelCase=[3, 3, 3]					,	__lowerCAmelCase=[1, 1, 1]					,	__lowerCAmelCase=[2, 2, 2]					,	__lowerCAmelCase=[1, 1, 1]					,	__lowerCAmelCase=[1, 1, 1]					,	__lowerCAmelCase=0.02					,	__lowerCAmelCase=1E-12					,	**__lowerCAmelCase					,	):
														super().__init__(**__lowerCAmelCase					)
														UpperCamelCase__			       =     num_channels
														UpperCamelCase__			       =     patch_sizes
														UpperCamelCase__			       =     patch_stride
														UpperCamelCase__			       =     patch_padding
														UpperCamelCase__			       =     embed_dim
														UpperCamelCase__			       =     num_heads
														UpperCamelCase__			       =     depth
														UpperCamelCase__			       =     mlp_ratio
														UpperCamelCase__			       =     attention_drop_rate
														UpperCamelCase__			       =     drop_rate
														UpperCamelCase__			       =     drop_path_rate
														UpperCamelCase__			       =     qkv_bias
														UpperCamelCase__			       =     cls_token
														UpperCamelCase__			       =     qkv_projection_method
														UpperCamelCase__			       =     kernel_qkv
														UpperCamelCase__			       =     padding_kv
														UpperCamelCase__			       =     stride_kv
														UpperCamelCase__			       =     padding_q
														UpperCamelCase__			       =     stride_q
														UpperCamelCase__			       =     initializer_range
														UpperCamelCase__			       =     layer_norm_eps




