| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| D | layers.py | 83 outputs_collections=None, argument
123 return utils.collect_named_outputs(outputs_collections, sc, outputs)
132 outputs_collections=None, argument
172 return utils.collect_named_outputs(outputs_collections, sc, outputs)
187 outputs_collections=None, argument
426 return utils.collect_named_outputs(outputs_collections, sc.name, outputs)
442 outputs_collections=None, argument
593 outputs_collections=outputs_collections,
666 return utils.collect_named_outputs(outputs_collections, sc.name, outputs)
837 return utils.collect_named_outputs(outputs_collections, sc.name, outputs)
[all …]
|
| D | normalization.py | 50 outputs_collections=None, argument
162 return utils.collect_named_outputs(outputs_collections, sc.name, outputs)
177 outputs_collections=None, argument
384 return utils.collect_named_outputs(outputs_collections, sc.name, outputs)
|
| D | layers_test.py | 81 output = _layers.avg_pool2d(images, [3, 3], outputs_collections='outputs')
152 images, [3, 3, 3], outputs_collections='outputs')
218 images, [3, 3], pooling_type='AVG', outputs_collections='outputs')
449 images, 32, [3, 3], outputs_collections='outputs', scope='Conv')
1392 output = _layers.dropout(images, outputs_collections='outputs')
1476 output = _layers.flatten(images, outputs_collections='outputs')
1656 inputs, 7, outputs_collections='outputs', scope='fc')
3054 output = _layers.max_pool2d(images, [3, 3], outputs_collections='outputs')
3127 images, [3, 3, 3], outputs_collections='outputs')
3185 labels, num_classes=3, outputs_collections='outputs')
|
| /external/tensorflow/tensorflow/contrib/model_pruning/python/layers/ |
| D | layers.py | 112 outputs_collections=None, argument
251 return utils.collect_named_outputs(outputs_collections,
271 outputs_collections=None, argument
362 return utils.collect_named_outputs(outputs_collections,
|
| /external/tensorflow/tensorflow/contrib/slim/python/slim/nets/ |
| D | resnet_v1.py | 80 outputs_collections=None, argument
125 return utils.collect_named_outputs(outputs_collections, sc.name, output)
197 outputs_collections=end_points_collection):
|
| D | resnet_v2.py | 74 outputs_collections=None, argument
127 return utils.collect_named_outputs(outputs_collections, sc.name, output)
201 outputs_collections=end_points_collection):
|
| D | vgg.py | 103 outputs_collections=end_points_collection):
168 outputs_collections=end_points_collection):
233 outputs_collections=end_points_collection):
|
| D | resnet_utils.py | 153 outputs_collections=None): argument
217 net = utils.collect_named_outputs(outputs_collections, sc.name, net)
|
| D | overfeat.py | 97 outputs_collections=end_points_collection):
|
| D | alexnet.py | 100 outputs_collections=[end_points_collection]):
|
| D | resnet_v1_test.py | 169 with arg_scope([layers.conv2d], outputs_collections='end_points'):
|
| D | resnet_v2_test.py | 172 with arg_scope([layers.conv2d], outputs_collections='end_points'):
|