| /dports/science/py-chainer/chainer-7.8.0/chainer/testing/ |
| H A D | backend.py | 83 chainer.using_config(
85 chainer.using_config(
87 chainer.using_config(
89 chainer.using_config(
|
| /dports/science/py-chainer-chemistry/chainer-chemistry-0.7.1/chainer_chemistry/saliency/calculator/ |
| H A D | occlusion_calculator.py | 65 with chainer.using_config('enable_backprop', self.enable_backprop):
106 with chainer.using_config('enable_backprop',
116 with chainer.using_config('enable_backprop',
|
| H A D | base_calculator.py | 147 with chainer.using_config('train', train):
|
| /dports/science/py-chainer/chainer-7.8.0/chainer/functions/util/ |
| H A D | forget.py | 40 chainer.using_config('_will_recompute', True):
56 chainer.using_config('in_recomputing', True):
|
| /dports/science/py-chainer/chainer-7.8.0/chainer/functions/connection/ |
| H A D | linear.py | 141 with chainer.using_config('use_ideep', self._config_use_ideep):
191 with chainer.using_config('use_ideep', self._config_use_ideep):
241 with chainer.using_config('use_ideep', self._config_use_ideep):
|
| /dports/science/py-chainer-chemistry/chainer-chemistry-0.7.1/chainer_chemistry/models/prediction/ |
| H A D | classifier.py | 213 with chainer.no_backprop_mode(), chainer.using_config('train', False):
243 with chainer.no_backprop_mode(), chainer.using_config('train', False):
|
| H A D | graph_conv_predictor.py | 55 with chainer.no_backprop_mode(), chainer.using_config('train', False):
|
| H A D | regressor.py | 175 with chainer.no_backprop_mode(), chainer.using_config('train', False):
|
| /dports/science/py-chainer/chainer-7.8.0/chainer/ |
| H A D | function.py | 66 c = configuration.using_config('enable_backprop', False)
106 c = configuration.using_config('enable_backprop', True)
|
| H A D | __init__.py | 37 from chainer.configuration import using_config # NOQA
284 self._using = using_config('debug', debug)
|
| H A D | configuration.py | 158 def using_config(name, value, config=config): function
|
| H A D | _backprop.py | 142 with chainer.using_config('enable_backprop', enable_double_backprop):
|
| H A D | function_node.py | 1210 with chainer.using_config('enable_backprop', enable_double_backprop):
|
| H A D | gradient_check.py | 363 with configuration.using_config('type_check', False):
|
| /dports/science/py-chainer-chemistry/chainer-chemistry-0.7.1/chainer_chemistry/training/extensions/ |
| H A D | batch_evaluator.py | 65 with chainer.no_backprop_mode(), chainer.using_config('train',
|
| /dports/science/py-chainer/chainer-7.8.0/onnx_chainer/ |
| H A D | export.py | 315 with chainer.using_config('train', train),\
316 chainer.using_config('in_recomputing', True),\
317 chainer.using_config('enable_backprop', True):
|
| /dports/science/py-chainer/chainer-7.8.0/chainer/training/extensions/ |
| H A D | evaluator.py | 179 with configuration.using_config('train', False):
|
| /dports/science/py-chainer/chainer-7.8.0/chainer/graph_optimizations/ |
| H A D | static_graph.py | 902 with chainer.using_config('schedule_func',
904 with chainer.using_config('enable_backprop', True):
1360 with chainer.using_config('schedule_func',
|
| /dports/science/py-chainer/chainer-7.8.0/chainer/functions/normalization/ |
| H A D | batch_renormalization.py | 220 with configuration.using_config('train', False):
|
| /dports/science/py-chainer/chainer-7.8.0/chainer/links/caffe/ |
| H A D | caffe_function.py | 624 with configuration.using_config('train', False):
646 with configuration.using_config('use_cudnn', self.use_cudnn):
|
| /dports/science/py-chainer/chainer-7.8.0/chainer/links/model/vision/ |
| H A D | vgg.py | 280 with function.no_backprop_mode(), chainer.using_config('train', False):
|
| H A D | googlenet.py | 316 with function.no_backprop_mode(), chainer.using_config('train', False):
|
| H A D | resnet.py | 286 with function.no_backprop_mode(), chainer.using_config('train', False):
|
| /dports/science/py-chainer/chainer-7.8.0/chainer/exporters/ |
| H A D | caffe.py | 474 with function.force_backprop_mode(), chainer.using_config('train', False):
|
| /dports/science/py-chainer/chainer-7.8.0/chainer/functions/pooling/ |
| H A D | max_pooling_nd.py | 426 with chainer.using_config('use_cudnn', 'never'):
|