Load a config file. Args: filename: absolute path or relative path w.r.t. the current working directory keys

Returns: str: a yaml string representation of the config

Args: loss_dict (dict): dict of scalar losses data_time (float): time taken by the dataloader iteration

Args: start_iter, max_iter (int): See docs above

Adds special tokens to the a sequence for sequence classification tasks. A BERT sequence has the following format: [CLS] X [SEP]

copy the refs.

flatten a list of lists [[1,2], [3,4]] to [1,2,3,4]

Add a scalar `value` to the `HistoryBuffer` associated with `name`. Args: smoothing_hint (bool): a 'hint' on whether thi

Returns: The :class:`EventStorage` object that's currently being used. Throws an error if no :class:`EventStorage` is currently e

Returns: HistoryBuffer: the scalar history for name

Hooks are stateless by default, but can be made checkpointable by implementing `state_dict` and `load_state_dict`.

Inverse of ``locate()``. Args: t: any object with ``__module__`` and ``__qualname__``

Returns: str: module name of the caller tuple: a hashable key to be used to identify different callers

Put multiple scalars from keyword arguments. Examples: storage.put_scalars(loss=my_loss, accuracy=my_accuracy, smoothin

Initialize the xmodaler logger and set its verbosity level to "DEBUG". Args: output (str): a file name or a directory to save log. I

Basic Tokenization of a piece of text. Split on "white spaces" only, for sub-word tokenization, see WordPieceTokenizer. Args:

Runs basic whitespace cleaning and splitting on a piece of text.

Returns: bool: whether the arguments contain CfgNode and should be considered forwarded to from_config.

Use `from_config` to obtain explicit arguments. Returns: dict: arguments to be used for cls.__init__

Return a process group based on gloo backend, containing all the ranks The result is cached.

A context which ignores CUDA OOM exception from pytorch.

Returns: list[int]: size of the tensor, on each rank Tensor: padded tensor that has the max size

Main function to compute CIDEr score :param hypo_for_image (dict) : dictionary with key <image> and value <tokenized hypothesis /

Performs all_gather operation on the provided tensors. *** Warning ***: torch.distributed.all_gather has no gradient.

Converts a sequence of tokens (string) in a single string.

called by constructor and __iadd__ to avoid creating new instances.