Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model

GetAttr */

GetItemInt */

SetVTable */

Capsule */

Return correctly formatted lr/momentum for each param group.

Outputs a function which will log the arguments to Visdom in an appropriate way. Args: vis_fn: A function, such as self.

Builds a training sampler. Args: data_source (list): contains tuples of (img_path(s), pid, camid). train_sampler (str): sampler n

A wrapper function for computing distance matrix. Args: input1 (torch.Tensor): 2-D feature matrix. input2 (torch.Tensor): 2-D fea

Call this method to enable sparsity. If init(...) was called with allow_recompute_mask=False AND sparsity is disabled, pruned field can be Non

1x1 convolution

Evaluates CMC rank. Args: distmat (numpy.ndarray): distance matrix of shape (num_query, num_gallery). q_pids (numpy.ndarray): 1-D

Get the string associated with an id.

Initializes a video dataset.

Loads a state_dict created by an earlier call to state_dict(). If ``fp16_optimizer_instance`` was constructed from some ``init_optimi

:param val: dict, keys are strs, values are torch.Tensor or np.array

ImportFrom */

IsLittleEndian */

IterFinish */

ListExtend.proto */

UnicodeEquals */

RaiseNoneIterError */

MemviewSliceInit */

SetupReduce */

CodeObjectCache */