Logger#

class composer.Logger(state, destinations=None)[source]#

An interface to record training data.

The Trainer, instances of Callback, and instances of Algorithm invoke the logger to record data such as the epoch, training loss, and custom metrics as provided by individual callbacks and algorithms. This class does not store any data itself; instead, it routes all data to the destinations. Each destination (e.g. the FileLogger, InMemoryLogger) is responsible for storing the data itself (e.g. writing it to a file or storing it in memory).

Parameters

state (State) – The training state.
destinations (LoggerDestination | Sequence[LoggerDestination], optional) – The logger destinations, to where logging data will be sent. (default: None)

destinations#

A sequence of LoggerDestination to where logging calls will be sent.

Type: Sequence[LoggerDestination]

has_file_upload_destination()[source]#

Determines if the logger has a destination which supports uploading files.

Needed for checking if a model can be exported via this logger.

Returns: bool – Whether any of the destinations support uploading files.

log_images(images, name='Images', channels_last=False, step=None, masks=None, mask_class_labels=None, use_table=True)[source]#

Log images. Logs any tensors or arrays as images.

Parameters

images (np.ndarray | Tensor | Sequence[np.ndarray | Tensor]) – Dictionary mapping image(s)’ names (str) to an image of array of images.
name (str) – The name of the image(s). (Default: 'Images')
channels_last (bool) – Whether the channel dimension is first or last. (Default: False)
step (int, optional) – The current step or batch of training at the time of logging. Defaults to None. If not specified the specific LoggerDestination implementation will choose a step (usually a running counter).
masks (dict[str, np.ndarray | Tensor | Sequence[np.ndarray | Tensor]], optional) – A dictionary mapping the mask name (e.g. predictions or ground truth) to a sequence of masks.
mask_class_labels (dict[int, str], optional) – Dictionary mapping label id to its name. Used for labelling each color in the mask.
use_table (bool) – Whether to make a table of the images or not. (default: True). Only for use with WandB.

upload_file(remote_file_name, file_path, *, overwrite=False)[source]#

Upload file_path as a file named remote_file_name.

Both file_path and remote_file_name can be specified as format strings. See format_name_with_dist() for more information.