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Functions1,242 in github.com/HazyResearch/butterfly

Method__iter__
(self)
cnn/imagenet/mixup.py:29
Method__repr__
(self)
convolution/tee.py:100
Function_alr
(optimizer, iteration, epoch)
cnn/imagenet/training.py:128
Function_lr_fn
(iteration, epoch)
cnn/imagenet/training.py:140
Function_make_scheduler
(args)
learning_transforms/tune.py:35
Method_restore
(self, checkpoint_path)
learning_transforms/training.py:27
Method_restore
(self, checkpoint_path)
cnn/distill_experiment.py:141
Method_restore
(self, checkpoint_path)
cnn/distill_cov_experiment.py:169
Method_restore
(self, checkpoint_path)
cnn/cifar_experiment.py:141
Method_restore
(self, checkpoint_path)
cnn/permuted_experiment.py:235
Method_restore
(self, checkpoint_path)
transformer/dynamic_conv_experiment.py:150
Method_save
(self, checkpoint_dir)
learning_transforms/training.py:20
Method_save
(self, checkpoint_dir)
cnn/distill_experiment.py:133
Method_save
(self, checkpoint_dir)
cnn/distill_cov_experiment.py:161
Method_save
(self, checkpoint_dir)
cnn/cifar_experiment.py:129
Method_save
(self, checkpoint_dir)
cnn/permuted_experiment.py:218
Method_save
(self, checkpoint_dir)
transformer/dynamic_conv_experiment.py:146
Function_sbc
(epoch)
cnn/imagenet/utils.py:9
Method_setup
(self, config)
learning_transforms/learning_hadamard.py:56
Method_setup
(self, config)
learning_transforms/learning_legendre.py:35
Method_setup
(self, config)
learning_transforms/learning_legendre.py:82
Method_setup
(self, config)
learning_transforms/learning_vandermonde.py:34
Method_setup
(self, config)
learning_transforms/learning_vandermonde.py:79
Method_setup
(self, config)
learning_transforms/learning_ops.py:33
Method_setup
(self, config)
learning_transforms/learning_fft.py:40
Method_setup
(self, config)
learning_transforms/learning_fft.py:61
Method_setup
(self, config)
learning_transforms/learning_fft.py:85
Method_setup
(self, config)
learning_transforms/learning_fft.py:121
Method_setup
(self, config)
learning_transforms/learning_fft.py:397
Method_setup
(self, config)
learning_transforms/learning_fft.py:442
Method_setup
(self, config)
learning_transforms/learning_fft.py:457
Method_setup
(self, config)
learning_transforms/learning_fft.py:480
Method_setup
(self, config)
learning_transforms/learning_fft.py:523
Method_setup
(self, config)
learning_transforms/learning_circulant.py:35
Method_setup
(self, config)
learning_transforms/learning_circulant.py:80
Method_setup
(self, config)
learning_transforms/old/learning_fft_old.py:64
Method_setup
(self, config)
learning_transforms/old/learning_fft_old.py:85
Method_setup
(self, config)
learning_transforms/old/learning_fft_old.py:109
Method_setup
(self, config)
learning_transforms/old/learning_fft_old.py:145
Method_setup
(self, config)
learning_transforms/old/learning_fft_old.py:421
Method_setup
(self, config)
learning_transforms/old/learning_fft_old.py:466
Method_setup
(self, config)
learning_transforms/old/learning_fft_old.py:488
Method_setup
(self, config)
learning_transforms/old/learning_fft_old.py:513
Method_setup
(self, config)
learning_transforms/old/learning_fft_old.py:553
Method_setup
(self, config)
cnn/distill_experiment.py:40
Method_setup
(self, config)
cnn/distill_cov_experiment.py:41
Method_setup
(self, config)
cnn/cifar_experiment.py:36
Method_setup
(self, config)
cnn/permuted_experiment.py:37
Method_setup
(self, config)
transformer/dynamic_conv_experiment.py:51
Function_step
(input, target, optimizer_step=True, sync_metrics=False)
cnn/imagenet/training.py:199
Function_timed_function
(*args, **kwargs)
cnn/imagenet/utils.py:35
Method_train
(self)
learning_transforms/learning_hadamard.py:67
Method_train
(self)
learning_transforms/learning_legendre.py:67
Method_train
(self)
learning_transforms/learning_legendre.py:110
Method_train
(self)
learning_transforms/learning_vandermonde.py:64
Method_train
(self)
learning_transforms/learning_vandermonde.py:108
Method_train
(self)
learning_transforms/learning_ops.py:48
Method_train
(self)
learning_transforms/learning_fft.py:49
Method_train
(self)
learning_transforms/learning_fft.py:71
Method_train
(self)
learning_transforms/learning_fft.py:97
Method_train
(self)
learning_transforms/learning_fft.py:109
Method_train
(self)
learning_transforms/learning_fft.py:129
Method_train
(self)
learning_transforms/learning_fft.py:141
Method_train
(self)
learning_transforms/learning_fft.py:427
Method_train
(self)
learning_transforms/learning_fft.py:507
Method_train
(self)
learning_transforms/learning_fft.py:537
Method_train
(self)
learning_transforms/learning_circulant.py:65
Method_train
(self)
learning_transforms/learning_circulant.py:109
Method_train
(self)
learning_transforms/training.py:44
Method_train
(self)
learning_transforms/training.py:100
Method_train
(self)
learning_transforms/old/learning_fft_old.py:73
Method_train
(self)
learning_transforms/old/learning_fft_old.py:95
Method_train
(self)
learning_transforms/old/learning_fft_old.py:121
Method_train
(self)
learning_transforms/old/learning_fft_old.py:133
Method_train
(self)
learning_transforms/old/learning_fft_old.py:153
Method_train
(self)
learning_transforms/old/learning_fft_old.py:165
Method_train
(self)
learning_transforms/old/learning_fft_old.py:451
Method_train
(self)
learning_transforms/old/learning_fft_old.py:476
Method_train
(self)
learning_transforms/old/learning_fft_old.py:501
Method_train
(self)
learning_transforms/old/learning_fft_old.py:525
Method_train
(self)
learning_transforms/old/learning_fft_old.py:537
Method_train
(self)
learning_transforms/old/learning_fft_old.py:567
Method_train
(self)
cnn/distill_experiment.py:129
Method_train
(self)
cnn/distill_cov_experiment.py:121
Method_train
(self)
cnn/cifar_experiment.py:113
Method_train
(self)
cnn/permuted_experiment.py:209
Method_train
(self)
transformer/dynamic_conv_experiment.py:108
Function_weights_init
(m)
convolution/models/resnet_cifar.py:16
Function_weights_init
(m)
cnn/models/resnet_original.py:39
Function_worker_init_fn
(id)
cnn/imagenet_main.py:190
Function_worker_init_fn
(id)
cnn/imagenet_finetune.py:183
Functionaccuracy
Computes the precision@k for the specified values of k
cnn/imagenet/utils.py:42
Functionacdc
Construct an nn.Module based on Butterfly that exactly performs either the multiplication: x -> diag2 @ iDCT @ diag1 @ DCT @ x or
torch_butterfly/special.py:714
Functionadam
()
cnn/cifar_experiment.py:191
Functionadd_gumbel_noise
Args: log_alpha: shape (N, N) temp: temperature parameter, a float. sample_shape: represents shape of independent draws Returns:
cnn/permutation_utils.py:275
Functionadd_prefix
(state_dict, prefix)
cnn/train_utils.py:13
Methodallreduce_hook
(*unused)
cnn/distributed.py:71
Methodallreduce_params
()
cnn/distributed.py:62
Methodargmax
Return: p: (self.size, ) array of int, the most probable permutation.
butterfly/permutation.py:103
Methodargmax
Return: p: (self.size, ) array of int, the most probable permutation.
learning_transforms/butterfly_old.py:630
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