Computes and stores the average and current value Imported from https://github.com/pytorch/examples/blob/master/imagenet/main.py#L247-L262

Save training process to log file with simple plot function.

ResNext optimized for the ImageNet dataset, as specified in https://arxiv.org/pdf/1611.05431.pdf

A batch normalization module which keeps its running mean and variance separately per timestep.

RexNeXt bottleneck type C (https://github.com/facebookresearch/ResNeXt/blob/master/models/resnext.lua)

A BN-LSTM cell.

ResNext optimized for the Cifar dataset, as specified in https://arxiv.org/pdf/1611.05431.pdf

Load and visualize multiple logs.

A module that runs multiple steps of LSTM.

RexNeXt bottleneck type C

Decay the LR based on the inverse square root of the update number. We also support a warmup phase where we linearly increase the learning rate

Decay the LR based on the inverse square root of the update number. We also support a warmup phase where we linearly increase the learning rate