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Functions226 in github.com/MLforHealth/S2SD

Methodforward
(self, batch, labels, **kwargs)
criteria/lifted.py:28
Methodforward
(self, batch, labels, **kwargs)
criteria/proxynca.py:39
Methodforward
(self, batch, labels, **kwargs)
criteria/histogram.py:36
Methodforward
Args: batch: torch.Tensor: Input of embeddings with size (BS x DIM) labels: nparray/list: For each element of the b
criteria/s2sd.py:80
Methodforward
(self, batch, labels, **kwargs)
criteria/quadruplet.py:33
Methodforward
(self, batch, labels, **kwargs)
criteria/multisimilarity.py:28
Functiongimme_params
(model)
utilities/misc.py:9
Methodlog
(self, segment, content, group=None)
utilities/logger.py:88
Functionloss_specific_parameters
(parser)
parameters.py:90
Methodprecompute_indices
(self)
datasampler/greedy_coreset_sampler.py:44
Methodprecompute_indices
(self)
datasampler/fid_batchmatch_sampler.py:54
Methodprecompute_indices
(self)
datasampler/disthist_batchmatch_sampler.py:56
Methodreplace_storage_entries
(self, embeddings, indices)
datasampler/greedy_coreset_sampler.py:75
Methodreplace_storage_entries
(self, embeddings, indices)
datasampler/fid_batchmatch_sampler.py:67
Methodreplace_storage_entries
(self, embeddings, indices)
datasampler/disthist_batchmatch_sampler.py:69
Functions2sd_parameters
(parser)
parameters.py:73
Functionsampler_parse_args
(parser)
datasampler/samplers.py:8
Functionselect
(arch, opt)
architectures/__init__.py:5
Functionselect
(batchminername, opt)
batchminer/__init__.py:22
Functionselect
(dataset, opt, data_path)
datasets/__init__.py:6
Functionselect
(sampler, opt, image_dict, image_list=None, **kwargs)
datasampler/__init__.py:9
Functionselect
(loss, opt, to_optim=None, batchminer=None)
criteria/__init__.py:14
Methodspc_fid_match
datasampler/fid_batchmatch_sampler.py:97
FunctiontSNE
(opt, dataloader, model, n_samples=1000, perplex=40.0)
utilities/visualize_tsne.py:19
Methodupdate_storage
(self, embeddings, indices)
datasampler/samplers.py:54
Functionwandb_parameters
(parser)
parameters.py:61
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