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Functions180 in github.com/FreeformRobotics/OTS

Method__init__
(self, inplanes, planes, stride=1, downsample=None)
models/resnet.py:27
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
models/resnet.py:59
Method__iter__
(self)
lib/utils/data/dataloader.py:290
Method__iter__
(self)
lib/utils/data/dataloader.py:421
Method__iter__
(self)
lib/utils/data/distributed.py:37
Method__iter__
(self)
lib/utils/data/sampler.py:15
Method__iter__
(self)
lib/utils/data/sampler.py:32
Method__iter__
(self)
lib/utils/data/sampler.py:49
Method__iter__
(self)
lib/utils/data/sampler.py:66
Method__iter__
(self)
lib/utils/data/sampler.py:89
Method__iter__
(self)
lib/utils/data/sampler.py:117
Method__len__
(self)
dataset.py:201
Method__len__
(self)
dataset.py:254
Method__len__
(self)
dataset.py:295
Method__len__
(self)
lib/utils/data/dataloader.py:249
Method__len__
(self)
lib/utils/data/dataloader.py:424
Method__len__
(self)
lib/utils/data/distributed.py:54
Method__len__
(self)
lib/utils/data/dataset.py:19
Method__len__
(self)
lib/utils/data/dataset.py:45
Method__len__
(self)
lib/utils/data/dataset.py:75
Method__len__
(self)
lib/utils/data/dataset.py:101
Method__len__
(self)
lib/utils/data/sampler.py:18
Method__len__
(self)
lib/utils/data/sampler.py:35
Method__len__
(self)
lib/utils/data/sampler.py:52
Method__len__
(self)
lib/utils/data/sampler.py:69
Method__len__
(self)
lib/utils/data/sampler.py:92
Method__len__
(self)
lib/utils/data/sampler.py:127
Method__next__
(self)
lib/utils/data/dataloader.py:261
Function_async_copy
(inputs, device_ids)
lib/nn/parallel/data_parallel.py:69
Method_check_input_dim
(self, input)
lib/nn/modules/batchnorm.py:261
Method_check_input_dim
(self, input)
lib/nn/modules/batchnorm.py:325
Method_data_parallel_master
Reduce the sum and square-sum, compute the statistics, and broadcast it.
lib/nn/modules/batchnorm.py:98
Method_nostride_dilate
(self, m, dilate)
models/models.py:141
Function_worker_loop
(dataset, index_queue, data_queue, collate_fn, seed, init_fn, worker_id)
lib/utils/data/dataloader.py:37
Function_worker_manager_loop
(in_queue, out_queue, done_event, pin_memory, device_id)
lib/utils/data/dataloader.py:67
Functionaccuracy
(preds, label)
utils.py:128
Functionas_variable
(obj)
lib/utils/th.py:8
Methodaverage
(self)
utils.py:64
FunctioncolorEncode
(labelmap, colors, mode='RGB')
utils.py:111
Functionconv3x3_bn_relu
3x3 convolution + BN + relu
models/models.py:101
Methodcummulative_sizes
(self)
lib/utils/data/dataset.py:87
Functiondefault_collate
Puts each data field into a tensor with outer dimension batch size
lib/utils/data/dataloader.py:104
Functionfind_recursive
(root_dir, ext='.jpg')
utils.py:25
Methodforward
(self, input)
lib/nn/modules/batchnorm.py:56
Methodforward
(self, feed_dict, *, segSize=None)
models/models.py:29
Methodforward
(self, x, return_feature_maps=False)
models/models.py:156
Methodforward
(self, conv_out, segSize=None)
models/models.py:199
Methodforward
(self, x)
models/ots.py:28
Methodforward
(self, x)
models/ots.py:59
Methodforward
(self, x)
models/ots.py:76
Methodforward
(self, x)
models/resnet.py:37
Methodforward
(self, x)
models/resnet.py:72
Methodforward
(self, x)
models/resnet.py:143
Methodgather
(self, outputs, output_device)
lib/nn/parallel/data_parallel.py:49
Functionhandler
(signum, frame)
lib/utils/data/dataloader.py:177
Functionhandy_var
(a, unbias=True)
lib/nn/modules/tests/test_sync_batchnorm.py:19
FunctionintersectionAndUnion
(imPred, imLab, numClass)
utils.py:136
Functionmark_volatile
(obj)
lib/utils/th.py:30
Functionnew_replicate
(module, device_ids)
lib/nn/modules/replicate.py:89
Methodnr_slaves
(self)
lib/nn/modules/comm.py:130
Functionparse_devices
Parse user's devices input str to standard format. e.g. [gpu0, gpu1, ...]
utils.py:180
Functionpatch_replication_callback
Monkey-patch an existing `DataParallel` object. Add the replication callback. Useful when you have customized `DataParallel` implementation.
lib/nn/modules/replicate.py:70
Functionprocess_range
(xpu, inp)
utils.py:163
Functionrandom_split
Randomly split a dataset into non-overlapping new datasets of given lengths ds Arguments: dataset (Dataset): Dataset to be split
lib/utils/data/dataset.py:105
Methodreplicate
(self, module, device_ids)
lib/nn/modules/replicate.py:64
Functionresnet101
Constructs a ResNet-101 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
models/resnet.py:196
Functionresnet18
Constructs a ResNet-18 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
models/resnet.py:160
Functionresnet50
Constructs a ResNet-50 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
models/resnet.py:184
Methodscatter
(self, inputs, kwargs, device_ids)
lib/nn/parallel/data_parallel.py:54
Methodset_epoch
(self, epoch)
lib/utils/data/distributed.py:57
Functionsetup_logger
(distributed_rank=0, filename="log.txt")
utils.py:10
MethodtestNumericBatchNorm
(self)
lib/nn/modules/tests/test_numeric_batchnorm.py:30
MethodtestSyncBatchNorm2DSyncTrain
(self)
lib/nn/modules/tests/test_sync_batchnorm.py:99
MethodtestSyncBatchNormNormalEval
(self)
lib/nn/modules/tests/test_sync_batchnorm.py:73
MethodtestSyncBatchNormNormalTrain
(self)
lib/nn/modules/tests/test_sync_batchnorm.py:67
MethodtestSyncBatchNormSyncEval
(self)
lib/nn/modules/tests/test_sync_batchnorm.py:89
MethodtestSyncBatchNormSyncTrain
(self)
lib/nn/modules/tests/test_sync_batchnorm.py:79
Functionuser_scattered_collate
(batch)
lib/nn/parallel/data_parallel.py:65
Methodvalue
(self)
utils.py:61
Methodweights_init
(m)
models/models.py:53
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