Log a dictionary of key-value pairs

Generate samples from the model. :param model: the model module. :param shape: the shape of the samples, (N, C, H, W).

Usage: @profile("my_func") def my_func(): code

Importance-sample timesteps for a batch. :param batch_size: the number of timesteps. :param device: the torch device to save

Scale the parameters of a module and return it.

Set logging threshold on current logger.

Setup a distributed process group.

https://stackoverflow.com/questions/15008758/parsing-boolean-values-with-argparse

Synchronize a sequence of Tensors across ranks from rank 0.

Compute training losses for a single timestep. :param model: the model to evaluate loss on. :param x_start: the [N x C x ...]