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Functions42 in github.com/HongyangGao/ChannelNets

⨍ Functions 42◇ Types & classes 4
↓ 3 callersFunctiondropout
(outs, keep_r, scope)
utils/ops.py:186
↓ 3 callersFunctionget_data
(datadir, name, batch)
tensor_net.py:25
↓ 2 callersFunctiondw_conv2d
(outs, kernel, stride, scope, keep_r=1.0, train=True, act_fn=None, data_format='NHWC')
utils/ops.py:132
↓ 2 callersMethodget_block_func
(self)
model.py:69
↓ 2 callersFunctionpure_conv2d
(outs, num_outs, kernel, scope, keep_r=1.0, train=True, padding='SAME', chan_num=1, data_forma
utils/ops.py:85
↓ 2 callersFunctionsingle_block
(outs, block_num, keep_r, is_train, scope, data_format, *args)
utils/ops.py:23
↓ 1 callersFunctionbatch_norm
(outs, scope, is_training=True, act_fn=tf.nn.relu6, data_format='NHWC', not_final=True)
utils/ops.py:179
↓ 1 callersMethodcompute_loss_and_error
(logits, label)
utils/imgnet_util.py:193
↓ 1 callersFunctionconfigure
()
main.py:9
↓ 1 callersFunctionconv1d
(outs, num_outs, kernel, scope, stride=1, keep_r=1.0, train=True, data_format='NHWC', padding='same
utils/ops.py:108
↓ 1 callersFunctionconv2d
(outs, num_outs, kernel, scope, stride=1, keep_r=1.0, train=True, act_fn=tf.nn.relu6, data_format='
utils/ops.py:120
↓ 1 callersFunctiondense
(outs, dim, scope, train=True, data_format='NHWC')
utils/ops.py:148
↓ 1 callersFunctiondw_block
(outs, num_outs, stride, scope, keep_r, is_train, use_rev_conv=False, rev_kernel_size=64, act_fn=
utils/ops.py:155
↓ 1 callersFunctioneval_on_ILSVRC12
(model, sessinit, dataflow)
utils/imgnet_util.py:111
↓ 1 callersFunctionfbresnet_augmentor
Augmentor used in fb.resnet.torch, for BGR images in range [0,255].
utils/imgnet_util.py:48
↓ 1 callersFunctionget_config
(model, conf)
tensor_net.py:31
↓ 1 callersFunctionget_imagenet_dataflow
See explanations in the tutorial: http://tensorpack.readthedocs.io/en/latest/tutorial/efficient-dataflow.html
utils/imgnet_util.py:79
↓ 1 callersMethodget_logits
Args: image: 4D tensor of 224x224 in ``self.data_format`` Returns: Nx1000 logits
utils/imgnet_util.py:162
↓ 1 callersMethodget_out_func
(self)
model.py:72
↓ 1 callersMethodimage_preprocess
(self, image, bgr=True)
utils/imgnet_util.py:176
↓ 1 callersMethodinference
(self, images)
model.py:10
↓ 1 callersFunctionrev_conv2d
(outs, scope, rev_kernel_size, keep_r=1.0, train=True, data_format='NHWC')
utils/ops.py:6
↓ 1 callersFunctionrun
(model)
tensor_net.py:65
Method__init__
(self, model, data_format='NCHW')
tensor_net.py:17
Method__init__
(self, conf)
model.py:7
Method__init__
(self, crop_area_fraction=0.08, aspect_ratio_low=0.75, aspect_ratio_high=1.333,
utils/imgnet_util.py:22
Method__init__
(self, data_format='NCHW')
utils/imgnet_util.py:139
Method_augment
(self, img, _)
utils/imgnet_util.py:27
Method_build_graph
(self, inputs)
utils/imgnet_util.py:146
Method_get_inputs
(self)
utils/imgnet_util.py:142
Method_get_optimizer
(self)
utils/imgnet_util.py:171
Functionbatch_norm_old
(outs, scope, is_training=True, act_fn=tf.nn.relu6, data_format='NHWC', not_final=True)
utils/ops.py:171
Functionconv_group_block
(outs, block_num, keep_r, is_train, scope, data_format, group, *args)
utils/ops.py:46
Functionconv_out_block
(outs, scope, class_num, is_train, data_format='NHWC')
utils/ops.py:72
Methodget_logits
(self, image)
tensor_net.py:21
Functionglobal_pool
(outs, scope, data_format)
utils/ops.py:192
Functionmain
(_)
main.py:39
Functionmapf
(dp)
utils/imgnet_util.py:100
Functionout_block
(outs, scope, class_num, is_train, data_format='NHWC')
utils/ops.py:65
Methodprediction_incorrect
(logits, label, topk=1, name='incorrect_vector')
utils/imgnet_util.py:200
Functionsimple_group_block
(outs, block_num, keep_r, is_train, scope, data_format, group, *args)
utils/ops.py:33
Functionskip_pool
(outs, scope, data_format)
utils/ops.py:202