id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
18,428 | from typing import Dict, List, Tuple
from tokenizers import Regex, Tokenizer, decoders, normalizers, pre_tokenizers, processors
from tokenizers.models import BPE, Unigram, WordPiece
from .file_utils import requires_backends
def check_number_comma(piece: str) -> bool:
return len(piece) < 2 or piece[-1] != "," or no... | null |
18,429 | from typing import Dict, List, Tuple
from tokenizers import Regex, Tokenizer, decoders, normalizers, pre_tokenizers, processors
from tokenizers.models import BPE, Unigram, WordPiece
from .file_utils import requires_backends
SLOW_TO_FAST_CONVERTERS = {
"SbertTokenizer": BertConverter,
}
The provided code snippet in... | Utilities to convert a slow tokenizer instance in a fast tokenizer instance. Args: transformer_tokenizer ([`~tokenization_utils_base.PreTrainedTokenizer`]): Instance of a slow tokenizer to convert in the backend tokenizer for [`~tokenization_utils_base.PreTrainedTokenizerFast`]. Return: A instance of [`~tokenizers.Toke... |
18,430 | import argparse
import os
from ... import models
from .convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS
from .utils import logging
logger = logging.get_logger(__name__)
TOKENIZER_CLASSES = {name: getattr(models, name + "Fast") for name in SLOW_TO_FAST_CONVERTERS}
def convert_slow_checkpoint_to_fast(tokenizer_name... | null |
18,431 | import os
from pathlib import Path
from typing import Any, Dict, List, Optional, Union
from dataclasses import dataclass
from .auto.modeling_auto import (
MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_CAUSAL_LM_MAPPING_NAMES,
MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_IMAGE_SEGMEN... | null |
18,432 | import os
from pathlib import Path
from typing import Any, Dict, List, Optional, Union
from dataclasses import dataclass
from .auto.modeling_auto import (
MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_CAUSAL_LM_MAPPING_NAMES,
MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_IMAGE_SEGMEN... | null |
18,433 | import os
from pathlib import Path
from typing import Any, Dict, List, Optional, Union
from dataclasses import dataclass
from .auto.modeling_auto import (
MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_CAUSAL_LM_MAPPING_NAMES,
MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_IMAGE_SEGMEN... | null |
18,434 | import os
from pathlib import Path
from typing import Any, Dict, List, Optional, Union
from dataclasses import dataclass
from .auto.modeling_auto import (
MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_CAUSAL_LM_MAPPING_NAMES,
MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_IMAGE_SEGMEN... | null |
18,435 | import os
from pathlib import Path
from typing import Any, Dict, List, Optional, Union
from dataclasses import dataclass
from .auto.modeling_auto import (
MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_CAUSAL_LM_MAPPING_NAMES,
MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_IMAGE_SEGMEN... | null |
18,436 | import os
from pathlib import Path
from typing import Any, Dict, List, Optional, Union
from dataclasses import dataclass
from .auto.modeling_auto import (
MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_CAUSAL_LM_MAPPING_NAMES,
MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_IMAGE_SEGMEN... | null |
18,437 | import os
from pathlib import Path
from typing import Any, Dict, List, Optional, Union
from dataclasses import dataclass
from .auto.modeling_auto import (
MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_CAUSAL_LM_MAPPING_NAMES,
MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_IMAGE_SEGMEN... | Parse the `logs` of either a `tf.keras.History` object returned by `model.fit()` or an accumulated logs `dict` passed to the `PushToHubCallback`. Returns lines and logs compatible with those returned by `parse_log_history`. |
18,438 | import os
from pathlib import Path
from typing import Any, Dict, List, Optional, Union
from dataclasses import dataclass
from .auto.modeling_auto import (
MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_CAUSAL_LM_MAPPING_NAMES,
MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_IMAGE_SEGMEN... | Parse the `log_history` of a Trainer to get the intermediate and final evaluation results. |
18,439 | import os
from pathlib import Path
from typing import Any, Dict, List, Optional, Union
from dataclasses import dataclass
from .auto.modeling_auto import (
MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_CAUSAL_LM_MAPPING_NAMES,
MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_IMAGE_SEGMEN... | null |
18,440 | import os
from pathlib import Path
from typing import Any, Dict, List, Optional, Union
from dataclasses import dataclass
from .auto.modeling_auto import (
MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_CAUSAL_LM_MAPPING_NAMES,
MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_IMAGE_SEGMEN... | Create a nice Markdown table from the results in `lines`. |
18,441 | import os
from pathlib import Path
from typing import Any, Dict, List, Optional, Union
from dataclasses import dataclass
from .auto.modeling_auto import (
MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_CAUSAL_LM_MAPPING_NAMES,
MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_IMAGE_SEGMEN... | null |
18,442 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,443 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,444 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,445 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,446 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,447 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,448 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,449 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,450 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,451 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,452 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,453 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,454 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,455 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,456 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,457 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,458 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,459 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,460 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,461 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,462 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,463 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,464 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,465 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,466 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,467 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,468 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,469 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,470 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,471 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,472 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,473 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,474 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,475 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,476 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,477 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,478 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,479 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,480 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,481 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | Return the url and etag (which may be `None`) stored for *filename*. Raise `EnvironmentError` if *filename* or its stored metadata do not exist. |
18,482 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | Returns a list of tuples representing model binaries that are cached locally. Each tuple has shape `(model_url, etag, size_MB)`. Filenames in `cache_dir` are use to get the metadata for each model, only urls ending with *.bin* are added. Args: cache_dir (`Union[str, Path]`, *optional*): The cache directory to search fo... |
18,483 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,484 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,485 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,486 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,487 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | Convert a TensorFlow tensor, PyTorch tensor, Numpy array or python list to a python list. |
18,488 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | Convert a TensorFlow tensor, PyTorch tensor, Numpy array or python list to a Numpy array. |
18,489 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | Checks if the folder in `repo_path` is a local clone of `repo_url`. |
18,490 | import copy
import fnmatch
import functools
import importlib.util
import io
import json
import os
import re
import shutil
import subprocess
import sys
import tarfile
import tempfile
import types
from collections import OrderedDict, UserDict
from contextlib import ExitStack, contextmanager
from dataclasses import fields... | null |
18,491 | import math
from typing import Callable, Iterable, Optional, Tuple, Union
import torch
from torch import nn
from torch.optim import Optimizer
from torch.optim.lr_scheduler import LambdaLR
from .trainer_utils import SchedulerType
from .utils import logging
from .utils.versions import require_version
The provided code s... | Create a schedule with a constant learning rate, using the learning rate set in optimizer. Args: optimizer ([`~torch.optim.Optimizer`]): The optimizer for which to schedule the learning rate. last_epoch (`int`, *optional*, defaults to -1): The index of the last epoch when resuming training. Return: `torch.optim.lr_sche... |
18,492 | import math
from typing import Callable, Iterable, Optional, Tuple, Union
import torch
from torch import nn
from torch.optim import Optimizer
from torch.optim.lr_scheduler import LambdaLR
from .trainer_utils import SchedulerType
from .utils import logging
from .utils.versions import require_version
The provided code s... | Create a schedule with a constant learning rate preceded by a warmup period during which the learning rate increases linearly between 0 and the initial lr set in the optimizer. Args: optimizer ([`~torch.optim.Optimizer`]): The optimizer for which to schedule the learning rate. num_warmup_steps (`int`): The number of st... |
18,493 | import math
from typing import Callable, Iterable, Optional, Tuple, Union
import torch
from torch import nn
from torch.optim import Optimizer
from torch.optim.lr_scheduler import LambdaLR
from .trainer_utils import SchedulerType
from .utils import logging
from .utils.versions import require_version
The provided code s... | Create a schedule with a learning rate that decreases linearly from the initial lr set in the optimizer to 0, after a warmup period during which it increases linearly from 0 to the initial lr set in the optimizer. Args: optimizer ([`~torch.optim.Optimizer`]): The optimizer for which to schedule the learning rate. num_w... |
18,494 | import math
from typing import Callable, Iterable, Optional, Tuple, Union
import torch
from torch import nn
from torch.optim import Optimizer
from torch.optim.lr_scheduler import LambdaLR
from .trainer_utils import SchedulerType
from .utils import logging
from .utils.versions import require_version
The provided code s... | Create a schedule with a learning rate that decreases following the values of the cosine function between the initial lr set in the optimizer to 0, after a warmup period during which it increases linearly between 0 and the initial lr set in the optimizer. Args: optimizer ([`~torch.optim.Optimizer`]): The optimizer for ... |
18,495 | import math
from typing import Callable, Iterable, Optional, Tuple, Union
import torch
from torch import nn
from torch.optim import Optimizer
from torch.optim.lr_scheduler import LambdaLR
from .trainer_utils import SchedulerType
from .utils import logging
from .utils.versions import require_version
The provided code s... | Create a schedule with a learning rate that decreases following the values of the cosine function between the initial lr set in the optimizer to 0, with several hard restarts, after a warmup period during which it increases linearly between 0 and the initial lr set in the optimizer. Args: optimizer ([`~torch.optim.Opti... |
18,496 | import math
from typing import Callable, Iterable, Optional, Tuple, Union
import torch
from torch import nn
from torch.optim import Optimizer
from torch.optim.lr_scheduler import LambdaLR
from .trainer_utils import SchedulerType
from .utils import logging
from .utils.versions import require_version
The provided code s... | Create a schedule with a learning rate that decreases as a polynomial decay from the initial lr set in the optimizer to end lr defined by *lr_end*, after a warmup period during which it increases linearly from 0 to the initial lr set in the optimizer. Args: optimizer ([`~torch.optim.Optimizer`]): The optimizer for whic... |
18,497 | import math
from typing import Callable, Iterable, Optional, Tuple, Union
import torch
from torch import nn
from torch.optim import Optimizer
from torch.optim.lr_scheduler import LambdaLR
from .trainer_utils import SchedulerType
from .utils import logging
from .utils.versions import require_version
TYPE_TO_SCHEDULER_FU... | Unified API to get any scheduler from its name. Args: name (`str` or `SchedulerType`): The name of the scheduler to use. optimizer (`torch.optim.Optimizer`): The optimizer that will be used during training. num_warmup_steps (`int`, *optional*): The number of warmup steps to do. This is not required by all schedulers (h... |
18,498 | import math
from typing import Callable, Iterable, Optional, Tuple, Union
import torch
from torch import nn
from torch.optim import Optimizer
from torch.optim.lr_scheduler import LambdaLR
from .trainer_utils import SchedulerType
from .utils import logging
from .utils.versions import require_version
class AdafactorSched... | Get a proxy schedule for [`~optimization.Adafactor`] Args: optimizer ([`~torch.optim.Optimizer`]): The optimizer for which to schedule the learning rate. initial_lr (`float`, *optional*, defaults to 0.0): Initial lr Return: [`~optimization.Adafactor`] proxy schedule object. |
18,499 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | Concat the `new_tensors` to `tensors` on the first dim and pad them on the second if needed. Works for tensors or nested list/tuples of tensors. |
18,500 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | Find the first dimension of a tensor in a nested list/tuple/dict of tensors. |
18,501 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | Numpify `tensors` (even if it's a nested list/tuple of tensors). |
18,502 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | Detach `tensors` (even if it's a nested list/tuple of tensors). |
18,503 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | null |
18,504 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | null |
18,505 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | null |
18,506 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | null |
18,507 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | Decorator to make all processes in distributed training wait for each local_master to do something. Args: local_rank (`int`): The rank of the local process. |
18,508 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | null |
18,509 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | Create the same nested structure as `arrays` with a first dimension always at `num_samples`. |
18,510 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | Expand the `arrays` so that the second dimension grows to `new_seq_length`. Uses `padding_index` for padding. |
18,511 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | Truncate `tensors` at `limit` (even if it's a nested list/tuple of tensors). |
18,512 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | Return a list of indices so that each slice of `batch_size` consecutive indices correspond to elements of similar lengths. To do this, the indices are: - randomly permuted - grouped in mega-batches of size `mega_batch_mult * batch_size` - sorted by length in each mega-batch The result is the concatenation of all mega-b... |
18,513 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | null |
18,514 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | Log metrics in a specially formatted way Under distributed environment this is done only for a process with rank 0. Args: split (`str`): Mode/split name: one of `train`, `eval`, `test` metrics (`Dict[str, float]`): The metrics returned from train/evaluate/predictmetrics: metrics dict Notes on memory reports: In order t... |
18,515 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | Save metrics into a json file for that split, e.g. `train_results.json`. Under distributed environment this is done only for a process with rank 0. Args: split (`str`): Mode/split name: one of `train`, `eval`, `test`, `all` metrics (`Dict[str, float]`): The metrics returned from train/evaluate/predict combined (`bool`,... |
18,516 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | Saves the Trainer state, since Trainer.save_model saves only the tokenizer with the model Under distributed environment this is done only for a process with rank 0. |
18,517 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | Returns the names of the model parameters that are not inside a forbidden layer. |
18,518 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | null |
18,519 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | null |
18,520 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | null |
18,521 | import datetime
import json
import math
import os
import sys
import warnings
from contextlib import contextmanager
from dataclasses import dataclass
from logging import StreamHandler
from typing import Any, Dict, Iterator, List, Optional, Union
import numpy as np
import torch
from packaging import version
from torch im... | null |
18,522 | import inspect
import math
from abc import ABC
from typing import Callable, Iterable, List, Optional
import numpy as np
import torch
from .file_utils import add_start_docstrings
from .utils.logging import get_logger
def _get_ngrams(ngram_size: int, prev_input_ids: torch.Tensor, num_hypos: int):
generated_ngrams = [... | Copied from fairseq for no_repeat_ngram in beam_search |
18,523 | import importlib.util
import io
import json
import weakref
from copy import deepcopy
from functools import partialmethod
from .dependency_versions_check import dep_version_check
from .file_utils import is_torch_available
from .utils import logging
def is_deepspeed_available():
return importlib.util.find_spec("deep... | null |
18,524 | import importlib.util
import io
import json
import weakref
from copy import deepcopy
from functools import partialmethod
from .dependency_versions_check import dep_version_check
from .file_utils import is_torch_available
from .utils import logging
_hf_deepspeed_config_weak_ref = None
def set_hf_deepspeed_config(hf_dee... | null |
18,525 | import importlib.util
import io
import json
import weakref
from copy import deepcopy
from functools import partialmethod
from .dependency_versions_check import dep_version_check
from .file_utils import is_torch_available
from .utils import logging
_hf_deepspeed_config_weak_ref = None
def is_deepspeed_zero3_enabled():
... | null |
18,526 | import importlib.util
import io
import json
import weakref
from copy import deepcopy
from functools import partialmethod
from .dependency_versions_check import dep_version_check
from .file_utils import is_torch_available
from .utils import logging
_hf_deepspeed_config_weak_ref = None
def deepspeed_config():
if _hf... | null |
18,527 | import importlib.util
import io
import json
import weakref
from copy import deepcopy
from functools import partialmethod
from .dependency_versions_check import dep_version_check
from .file_utils import is_torch_available
from .utils import logging
The provided code snippet includes necessary dependencies for implement... | this is a temp hack based on: https://github.com/microsoft/DeepSpeed/issues/1394#issuecomment-937405374 until Deepspeed fixes a bug where it can't resume from a checkpoint after it did some stepping https://github.com/microsoft/DeepSpeed/issues/1612 |
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