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Functions182 in github.com/Vandermode/QRNN3D

⨍ Functions 182◇ Types & classes 63
Method__init__
(self, key)
utility/dataset.py:271
Method__init__
(self, data_dir, suffix='png')
utility/dataset.py:282
Method__init__
(self, data_dir, load=loadmat, suffix='mat', fns=None, size=None)
utility/dataset.py:300
Method__init__
(self, dataset, transform, target_transform=None)
utility/dataset.py:413
Method__init__
r""" class for ssim Args: win_size: (int, optional): the size of gauss kernel win_sigma: (float, optional): sigma of n
utility/ssim.py:226
Method__init__
(self, it)
utility/util.py:170
Method__init__
(self, index_fn)
utility/indexes.py:8
Method__init__
(self, in_channels=10, kernel_size=3, init_weights=True)
models/denet.py:8
Method__init__
(self, channels, num_resblock, num_memblock)
models/memnet.py:38
Method__init__
(self, channels, k=3, s=1, p=1)
models/memnet.py:66
Method__init__
(self, in_channels, channels, k=3, s=1, p=1, inplace=True)
models/memnet.py:80
Method__init__
(self)
models/sync_batchnorm/comm.py:21
Method__init__
Args: master_callback: a callback to be invoked after having collected messages from slave devices.
models/sync_batchnorm/comm.py:67
Method__init__
(self, num_features, eps=1e-5, momentum=0.1, affine=True)
models/sync_batchnorm/batchnorm.py:39
Method__init__
(self, in_channels, channels, k=3, s=1, p=1, inplace=False)
models/qrnn/combinations.py:10
Method__init__
(self, in_channels, channels, k=3, s=1, p=1, inplace=False)
models/qrnn/combinations.py:18
Method__init__
(self, in_channels, channels, k=3, s=1, p=1, upsample=(1,2,2), inplace=False)
models/qrnn/combinations.py:26
Method__init__
(self, in_channels, out_channels, kernel_size, stride, padding, bias=True, upsample=None)
models/qrnn/combinations.py:40
Method__init__
(self, in_channels, channels, k=3, s=1, p=1, bias=False, bn=True)
models/qrnn/combinations.py:65
Method__init__
(self, in_channels, channels, k=3, s=1, p=1, upsample=(1,2,2), bn=True)
models/qrnn/combinations.py:73
Method__init__
(self, in_channels, hidden_channels, conv_layer, act='tanh')
models/qrnn/qrnn3d.py:18
Method__init__
(self, in_channels, hidden_channels, k=3, s=1, p=1, bn=True, act='tanh')
models/qrnn/qrnn3d.py:107
Method__init__
(self, in_channels, hidden_channels, k=3, s=1, p=1, bias=False, bn=True, act='tanh')
models/qrnn/qrnn3d.py:113
Method__init__
(self, in_channels, hidden_channels, k=3, s=1, p=1, bn=True, act='tanh')
models/qrnn/qrnn3d.py:125
Method__init__
(self, in_channels, hidden_channels, k=3, s=1, p=1, upsample=(1,2,2), bn=True, act='tanh')
models/qrnn/qrnn3d.py:131
Method__init__
(self, channels, num_half_layer, sample_idx, QRNNConv3D=None, is_2d=False, has_ad=True, bn=True, act='tan
models/qrnn/utils.py:47
Method__init__
(self, channels, num_half_layer, sample_idx, QRNNDeConv3D=None, QRNNUpsampleConv3d=None, is_2d=False, has
models/qrnn/utils.py:93
Method__init__
(self, in_channels, channels, num_half_layer, downsample=None)
models/qrnn/redc3d.py:16
Method__init__
(self, in_channels, channels, n_resblocks)
models/qrnn/resnet.py:13
Method__len__
(self)
utility/lmdb_dataset.py:48
Method__len__
(self)
utility/dataset.py:294
Method__len__
(self)
utility/dataset.py:325
Method__len__
(self)
utility/dataset.py:421
Method__next__
(self)
utility/util.py:176
Method__repr__
(self)
utility/lmdb_dataset.py:51
Method_check_input_dim
(self, input)
models/sync_batchnorm/batchnorm.py:247
Method_check_input_dim
(self, input)
models/sync_batchnorm/batchnorm.py:311
Method_data_parallel_master
Reduce the sum and square-sum, compute the statistics, and broadcast it.
models/sync_batchnorm/batchnorm.py:90
Method_initialize_weights
(self)
models/denet.py:45
Functionadjust_opt_params
(optimizer, param_dict)
utility/helper.py:33
MethodassertTensorClose
(self, a, b, atol=1e-3, rtol=1e-3)
models/sync_batchnorm/unittest.py:24
Functioncreate_PaviaCentre
()
utility/lmdb_data.py:81
Functioncreate_icvl_sr
()
utility/mat_data.py:28
Functiondisplay_opt_params
(optimizer, keys)
utility/helper.py:40
Methodextra_repr
(self)
hsi_setup.py:30
Methodextra_repr
(self)
models/qrnn/qrnn3d.py:62
Methodforward
(self, predict, target)
hsi_setup.py:24
Methodforward
(self, X, Y)
utility/ssim.py:242
Methodforward
(self, X, Y)
utility/ssim.py:268
Methodforward
(self, x)
models/denet.py:40
Methodforward
(self, x)
models/memnet.py:23
Methodforward
ys is a list which contains long-term memory coming from previous memory block xs denotes the short-term memory coming from recursive unit
models/memnet.py:45
Methodforward
(self, x)
models/memnet.py:71
Methodforward
(self, input)
models/sync_batchnorm/batchnorm.py:48
Methodforward
(self, x)
models/qrnn/combinations.py:48
Methodforward
(self, inputs, reverse=False)
models/qrnn/qrnn3d.py:43
Methodforward
(self, inputs, fname=None)
models/qrnn/qrnn3d.py:79
Methodforward
(self, x)
models/qrnn/utils.py:30
Methodforward
(self, x, xs, reverse=False)
models/qrnn/utils.py:71
Methodforward
(self, x, xs, reverse=False)
models/qrnn/utils.py:118
Methodforward
(self, x)
models/qrnn/redc3d.py:42
Methodforward
(self, x)
models/qrnn/resnet.py:38
Methodforward
(self, x, reverse=False)
models/qrnn/resnet.py:53
Functionframe_diff
(frames)
utility/util.py:72
Functionget_train_valid_dataset
(dataset, valid_size=None)
utility/dataset.py:396
Functionget_train_valid_loader
Utility function for loading and returning train and valid multi-process iterators over any pytorch dataset. A sample of the images can
utility/dataset.py:329
Functionhsidenet
()
models/__init__.py:26
Functionmemnet
()
models/__init__.py:20
Functionnew_replicate
(module, device_ids)
models/sync_batchnorm/replicate.py:89
Methodnr_slaves
(self)
models/sync_batchnorm/comm.py:130
Functionpatch_replication_callback
Monkey-patch an existing `DataParallel` object. Add the replication callback. Useful when you have customized `DataParallel` implementation.
models/sync_batchnorm/replicate.py:70
Functionprocessor
(data)
utility/util.py:59
Functionqrnn2d
()
models/__init__.py:14
Functionqrnn3d
()
models/__init__.py:8
Methodreplicate
(self, module, device_ids)
models/sync_batchnorm/replicate.py:64
Functionsequetial_process
Integerate all process functions
utility/util.py:55
Functionset_bn_eval
(m)
utility/helper.py:47
Methodtest_develop
(self, test_loader, savedir=None, verbose=True)
hsi_setup.py:358
Methodtorch2numpy
(hsi)
hsi_setup.py:362
Functionupdate
(val)
utility/util.py:112
Functionvisualize
Visualize a preprecessed hyperspectral image
utility/util.py:77
Functionworker_init_fn
(worker_id)
utility/dataset.py:21
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