Computes and stores the average and current value

Class that manages dynamic loss scaling. It is recommended to use :class:`DynamicLossScaler` indirectly, by supplying ``dynamic_loss_scale=T

:class:`FP16_Optimizer` is designed to wrap an existing PyTorch optimizer, and manage static or dynamic loss scaling and master weights in a

Class that manages a static loss scale. This class is intended to interact with :class:`FP16_Optimizer`, and should not be directly manipula

Model wrapper that implements:: def forward(self, input): return input.half()

Model wrapper that implements:: def forward(self, input): return input.half()

`MS Coco Detection <http://mscoco.org/dataset/#detections-challenge2016>`_ Dataset. Args: root (string): Root directory where dataset is

`CrowdPose`_ Dataset. Args: root (string): Root directory where dataset is located to. dataset (string): Dataset name(train2017,