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Functions238 in github.com/BYchao100/Deep-Lossy-Plus-Residual-Coding

⨍ Functions 238◇ Types & classes 68
Method__init__
(self, in_ch, out_ch, *args, **kwargs)
DLPR_ll/ll_model_eval.py:24
Method__init__
(self, in_ch, out_ch, *args, **kwargs)
DLPR_ll/ll_model_eval.py:45
Method__init__
(self, in_ch, out_ch, prior_ch, *args, **kwargs)
DLPR_ll/ll_model_eval.py:85
Method__init__
(self, num_ch, *args, **kwargs)
DLPR_ll/ll_model_eval.py:105
Method__init__
(self, num_ch, *args, **kwargs)
DLPR_ll/ll_model_eval.py:125
Method__init__
(self, num_ch, *args, **kwargs)
DLPR_ll/ll_model_eval.py:159
Method__init__
(self, num_ch, *args, **kwargs)
DLPR_ll/ll_model_eval.py:178
Method__init__
(self, num_ch, num_mixtures, *args, **kwargs)
DLPR_ll/ll_model_eval.py:241
Method__init__
(self, num_ch, mask_type="3P", *args, **kwargs)
DLPR_ll/ll_model_eval.py:258
Method__init__
(self, mask_type = "A", *args, **kwargs)
DLPR_ll/custom_layers.py:52
Method__init__
(self, dim, num_heads=8, window_size=8)
DLPR_ll/custom_layers.py:72
Method__init__
(self)
DLPR_ll/custom_layers.py:79
Method__init__
(self, in_ch, out_ch, *args, **kwargs)
DLPR_ll/ll_model.py:24
Method__init__
(self, in_ch, out_ch, *args, **kwargs)
DLPR_ll/ll_model.py:45
Method__init__
(self, in_ch, out_ch, prior_ch, *args, **kwargs)
DLPR_ll/ll_model.py:85
Method__init__
(self, num_ch, *args, **kwargs)
DLPR_ll/ll_model.py:105
Method__init__
(self, num_ch, *args, **kwargs)
DLPR_ll/ll_model.py:125
Method__init__
(self, num_ch, *args, **kwargs)
DLPR_ll/ll_model.py:159
Method__init__
(self, num_ch, *args, **kwargs)
DLPR_ll/ll_model.py:178
Method__init__
(self, num_ch, num_mixtures, *args, **kwargs)
DLPR_ll/ll_model.py:211
Method__init__
(self, num_ch, mask_type="3P", *args, **kwargs)
DLPR_ll/ll_model.py:228
Method__init__
(self, lmbda=0.01)
DLPR_ll/ll_model.py:270
Method__init__
(self, path_dir, img_mode = None, transform=None)
DLPR_ll/utils/data/datasets.py:12
Method__init__
(self, dim=192, num_heads=8, window_size=8, shift_size=0, qkv_bias=True, qk_scale=None, drop=
DLPR_nll/win_attention.py:136
Method__init__
(self, in_ch, out_ch, *args, **kwargs)
DLPR_nll/nll_model_eval.py:25
Method__init__
(self, in_ch, out_ch, *args, **kwargs)
DLPR_nll/nll_model_eval.py:46
Method__init__
(self, in_ch, out_ch, prior_ch, *args, **kwargs)
DLPR_nll/nll_model_eval.py:86
Method__init__
(self, num_ch, *args, **kwargs)
DLPR_nll/nll_model_eval.py:106
Method__init__
(self, num_ch, *args, **kwargs)
DLPR_nll/nll_model_eval.py:126
Method__init__
(self, num_ch, *args, **kwargs)
DLPR_nll/nll_model_eval.py:160
Method__init__
(self, num_ch, cond_num, *args, **kwargs)
DLPR_nll/nll_model_eval.py:179
Method__init__
(self, num_ch, *args, **kwargs)
DLPR_nll/nll_model_eval.py:209
Method__init__
(self, num_ch, num_mixtures, *args, **kwargs)
DLPR_nll/nll_model_eval.py:272
Method__init__
(self, num_ch, num_mixtures, cond_num, *args, **kwargs)
DLPR_nll/nll_model_eval.py:290
Method__init__
(self, num_ch, cond_num, mask_type="3P", *args, **kwargs)
DLPR_nll/nll_model_eval.py:314
Method__init__
(self, mean, log_sigma, mixture_weights, autoregression_coefficients=None, *args, **kwargs)
DLPR_nll/logisticmixturemodel.py:7
Method__init__
( self, channels: int, *args: Any, tail_mass: float = 1e-9, init_scale
DLPR_nll/compression_model.py:117
Method__init__
(self, in_ch, out_ch, *args, **kwargs)
DLPR_nll/nll_model.py:25
Method__init__
(self, in_ch, out_ch, *args, **kwargs)
DLPR_nll/nll_model.py:46
Method__init__
(self, in_ch, out_ch, prior_ch, *args, **kwargs)
DLPR_nll/nll_model.py:85
Method__init__
(self, num_ch, *args, **kwargs)
DLPR_nll/nll_model.py:105
Method__init__
(self, num_ch, *args, **kwargs)
DLPR_nll/nll_model.py:125
Method__init__
(self, num_ch, *args, **kwargs)
DLPR_nll/nll_model.py:159
Method__init__
(self, num_ch, cond_num, *args, **kwargs)
DLPR_nll/nll_model.py:178
Method__init__
(self, num_ch, *args, **kwargs)
DLPR_nll/nll_model.py:200
Method__init__
(self, num_ch, num_mixtures, *args, **kwargs)
DLPR_nll/nll_model.py:233
Method__init__
(self, num_ch, num_mixtures, cond_num, *args, **kwargs)
DLPR_nll/nll_model.py:251
Method__init__
(self, num_ch, cond_num, mask_type="3P", *args, **kwargs)
DLPR_nll/nll_model.py:268
Method__init__
(self, lmbda=0.01)
DLPR_nll/nll_model.py:356
Method__init__
(self, mask_type = "A", *args, **kwargs)
DLPR_nll/custom_layers.py:52
Method__init__
(self, dim, num_heads=8, window_size=8)
DLPR_nll/custom_layers.py:72
Method__init__
(self)
DLPR_nll/custom_layers.py:79
Method__init__
(self, path_dir, img_mode = None, transform=None)
DLPR_nll/utils/data/datasets.py:12
Method__len__
(self)
DLPR_ll/utils/data/datasets.py:18
Method__len__
(self)
DLPR_nll/utils/data/datasets.py:18
Method__repr__
(self)
DLPR_ll/utils/data/transform.py:17
Method__repr__
(self)
DLPR_nll/utils/data/transform.py:17
Methodcompress
(self, x)
DLPR_ll/compression_model.py:308
Methodcompress
(self, x)
DLPR_nll/compression_model.py:308
Methoddecompress
(self, strings, size, NC)
DLPR_ll/compression_model.py:318
Methoddecompress
(self, strings, size, NC)
DLPR_nll/compression_model.py:318
Methodforward
Forward function. Args: x: input features with shape of (num_windows*B, N, C) mask: (0/-inf) mask with shape of (num_
DLPR_ll/win_attention.py:84
Methodforward
(self, x)
DLPR_ll/win_attention.py:153
Methodforward
(self, input, tau=0)
DLPR_ll/logisticmixturemodel.py:26
Methodforward
(self, *args)
DLPR_ll/compression_model.py:68
Methodforward
( self, x: Tensor, training: Optional[bool] = None )
DLPR_ll/compression_model.py:246
Methodforward
(self, input)
DLPR_ll/ll_model_eval.py:33
Methodforward
(self, input)
DLPR_ll/ll_model_eval.py:54
Methodforward
(self, input)
DLPR_ll/ll_model_eval.py:79
Methodforward
(self, input)
DLPR_ll/ll_model_eval.py:97
Methodforward
(self, input)
DLPR_ll/ll_model_eval.py:119
Methodforward
(self, input)
DLPR_ll/ll_model_eval.py:152
Methodforward
(self, input)
DLPR_ll/ll_model_eval.py:170
Methodforward
(self, input)
DLPR_ll/ll_model_eval.py:187
Methodforward
(self, input)
DLPR_ll/ll_model_eval.py:250
Methodforward
(self, input)
DLPR_ll/ll_model_eval.py:266
Methodforward
(self, x)
DLPR_ll/custom_layers.py:63
Methodforward
(self, x)
DLPR_ll/custom_layers.py:90
Methodforward
(self, x)
DLPR_ll/custom_layers.py:106
Methodforward
(self, input)
DLPR_ll/ll_model.py:33
Methodforward
(self, input)
DLPR_ll/ll_model.py:54
Methodforward
(self, input)
DLPR_ll/ll_model.py:79
Methodforward
(self, input)
DLPR_ll/ll_model.py:97
Methodforward
(self, input)
DLPR_ll/ll_model.py:119
Methodforward
(self, input)
DLPR_ll/ll_model.py:152
Methodforward
(self, input)
DLPR_ll/ll_model.py:170
Methodforward
(self, input)
DLPR_ll/ll_model.py:187
Methodforward
(self, input)
DLPR_ll/ll_model.py:220
Methodforward
(self, input)
DLPR_ll/ll_model.py:236
Methodforward
(self, output, target)
DLPR_ll/ll_model.py:275
Methodforward
Forward function. Args: x: input features with shape of (num_windows*B, N, C) mask: (0/-inf) mask with shape of (num_
DLPR_nll/win_attention.py:84
Methodforward
(self, x)
DLPR_nll/win_attention.py:153
Methodforward
(self, input)
DLPR_nll/nll_model_eval.py:34
Methodforward
(self, input)
DLPR_nll/nll_model_eval.py:55
Methodforward
(self, input)
DLPR_nll/nll_model_eval.py:80
Methodforward
(self, input)
DLPR_nll/nll_model_eval.py:98
Methodforward
(self, input)
DLPR_nll/nll_model_eval.py:120
Methodforward
(self, input)
DLPR_nll/nll_model_eval.py:153
Methodforward
(self, input)
DLPR_nll/nll_model_eval.py:171
Methodforward
(self, input, cond)
DLPR_nll/nll_model_eval.py:189
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