self.plot('loss',1.00)

serialize models include optimizer and other info return path where the model-file is stored. Args: save_optimizer (bool)

gpu compatible version :param input_tensor: variable :param clip_value: clipping value of 2-norm :param variance: variance of gau

self.log({'loss':1,'lr':0.0001})

:param feat_dict: :return:

Calculate Kullback-Leibler divergence of p1 and p2, which are assumed to values of two different density functions at the given positions xs.

Returns the IoU of two bounding boxes

Calculate the Intersection of Unions (IoUs) between bounding boxes. IoU is calculated as a ratio of area of the intersection and area of the

Retrieve samples in the form of image features, textual features, and labels. Parameters ---------- data_dir: the directory that

weight initalizer: truncated normal and random normal.