Concatenate Meter for torch.Tensor

Multi-headed attention. See "Attention Is All You Need" for more details.

Computes and stores the average and current value

Computes and stores the average and current value

Multi-headed attention. See "Attention Is All You Need" for more details.

r"""Applies Layer Normalization over a mini-batch of inputs as described in the paper `Layer Normalization`_ . Currently only runs on cuda()

r"""Implements stochastic gradient descent (optionally with momentum). Currently GPU-only. Requires Apex to be installed via ``pip install -

GRID. Reference: Loy et al. Multi-camera activity correlation analysis. CVPR 2009. URL: `<http://personal.ie.cuhk.edu.hk/~ccloy/down

QMUL-iLIDS. Reference: Zheng et al. Associating Groups of People. BMVC 2009. Dataset statistics: - identities: 119.

PRID (single-shot version of prid-2011) Reference: Hirzer et al. Person Re-Identification by Descriptive and Discriminative Class

VIPeR. Reference: Gray et al. Evaluating appearance models for recognition, reacquisition, and tracking. PETS 2007. URL: `<https://v

Launch MLP in C++ Args: mlp_sizes (list of int): MLP sizes. Example: [1024,1024,1024] will create 2 MLP layers with shape 1024x1024

sensereid dataset

Implements Adam algorithm. Currently GPU-only. Requires Apex to be installed via ``python setup.py install --cuda_ext --cpp_ext``. It has be

Market Dataset

Market Dataset

Duke dataset

RNNCell gate_multiplier is related to the architecture you're working with For LSTM-like it will be 4 and GRU-like will be 3. Alway

random sample according to class label Arguments: data_source (Dataset): data_loader to sample from class_position (int): whi

Implements Adam algorithm. Currently GPU-only. Requires Apex to be installed via ``pip install -v --no-cache-dir --global-option="--cpp_ext"

Dataset statistics: - identities: 1360. - images: 13164. - cameras: 6. - splits: 20 (classic).

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

Duke dataset

Market Dataset

Market Dataset

A generic Visdom class that works with the majority of Visdom plot types.

stackedRNN

Class to handle convert operations.

Class to store all the data for every kernel e.g. name, bytes, flops, device, stream etc.

:class:`apex.parallel.DistributedDataParallel` is a module wrapper that enables easy multiprocess distributed data parallel training, similar

Duke dataset

Market Dataset

mix datase for CRL Dataset statistics: The mixed dataset (CRL-person) contains 2,494 training identities. Specifically, the three datase

Market Dataset

Randomly selects a rectangle region in an image and erases its pixels. 'Random Erasing Data Augmentation' by Zhong et al. See https:/

synchronized batch normalization module extented from ``torch.nn.BatchNormNd`` with the added stats reduction across multiple processes.

Decays the learning rate of each parameter group by gamma once the number of epoch reaches one of the milestones. Notice that such decay can h

This class handles the various activation functions.

bn + fc

a base module includes model, optimizer, loss, and save/resume operations.

random sample according to class label Arguments: data_source (Dataset): data_loader to sample from class_position (int): whi

random sample according to class label Arguments: data_source (Dataset): data_loader to sample from class_position (int): whi

bn + fc

bn + fc

# N = batch size # C,H,W = input channels, height, width # K,P,Q = output channels, height, width # R,S = filter height, width # g = groups

Cross entropy loss with label smoothing regularizer. Reference: Szegedy et al. Rethinking the Inception Architecture for Computer Vision. CVPR 2016

This class provides functions for DB operations with exception handling.

Implements Adam algorithm. Currently GPU-only. Requires Apex to be installed via ``python setup.py install --cuda_ext --cpp_ext``. It ha

Convert model to half precision in a batchnorm-safe way.

:class:`FP16_Optimizer` A cutdown version of apex.fp16_utils.FP16_Optimizer. Designed only to wrap apex.contrib.optimizers.FusedAdam, FusedSG

An object of Foo is instantiated when we detect an unsupported operator.