torchdistill.misc

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torchdistill.misc.log

torchdistill.misc.log.set_basic_log_config()

Sets a default basic configuration for logging.

torchdistill.misc.log.setup_log_file(log_file_path)

Sets a file handler with log_file_path to write a log file.

Parameters:

log_file_path (str) – log file path.

class torchdistill.misc.log.SmoothedValue(window_size=20, fmt=None)

A deque-based value object tracks a series of values and provides access to smoothed values over a window or the global series average. The original implementation is https://github.com/pytorch/vision/blob/main/references/classification/utils.py

Parameters:

• window_size (int) – window size.

• fmt (str or None) – text format.

update(value, n=1)

Appends value.

Parameters:

• value (float or int) – value to be added.

• n (int) – sample count.

synchronize_between_processes()

Synchronizes between processes.

Warning

It does not synchronize the deque.

class torchdistill.misc.log.MetricLogger(delimiter='\t')

A metric logger with SmoothedValue. The original implementation is https://github.com/pytorch/vision/blob/main/references/classification/utils.py

Parameters:

delimiter (str) – delimiter in a log message.

update(**kwargs)

Updates a metric dict whose values are SmoothedValue.

Parameters:

kwargs (dict) – keys and values.

synchronize_between_processes()

Synchronizes between processes.

add_meter(name, meter)

Add a new metric name and value.

Parameters:

• name (str) – metric name.

• meter (SmoothedValue) – smoothed value.

log_every(iterable, log_freq, header=None)

Add a new metric name and value.

Parameters:

• iterable (Iterable) – iterable object (e.g., data loader).

• log_freq (int) – log frequency.

• header (str) – log message header.

Returns:

item in iterative.

Return type:

Any