| /dports/science/py-chainer-chemistry/chainer-chemistry-0.7.1/chainer_chemistry/models/gwm/ |
| H A D | gwm.py | 25 dropout_ratio=-1, activation=functions.sigmoid): argument
68 def __init__(self, hidden_dim_super=16, hidden_dim=16, dropout_ratio=-1): argument
113 dropout_ratio=-1, activation=functions.tanh): argument
207 n_heads=8, dropout_ratio=-1, argument
|
| H A D | gwm_net.py | 30 dropout_ratio=0.5, concat_hidden=False, argument
84 use_batch_norm=False, readout=None, dropout_ratio=0.5, argument
|
| H A D | gwm_graph_conv_model.py | 55 dropout_ratio=-1.0, with_gwm=True, argument
|
| /dports/science/py-chainer-chemistry/chainer-chemistry-0.7.1/chainer_chemistry/links/update/ |
| H A D | gin_update.py | 33 dropout_ratio=0.5, n_layers=2, **kwargs): argument
96 dropout_ratio=0.5, n_layers=2, **kwargs): argument
|
| H A D | relgat_update.py | 25 dropout_ratio=-1., negative_slope=0.2, softmax_mode='across', argument
|
| H A D | megnet_update.py | 74 dropout_ratio=-1, activation=megnet_softplus, argument
|
| /dports/science/py-chainer/chainer-7.8.0/chainer/functions/rnn/ |
| H A D | n_step_gru.py | 100 n_layers, dropout_ratio, hx, ws, bs, xs, **kwargs): argument
179 n_layers, dropout_ratio, hx, ws, bs, xs, **kwargs): argument
275 def n_step_gru_base(n_layers, dropout_ratio, hx, ws, bs, xs, argument
|
| H A D | n_step_lstm.py | 108 n_layers, dropout_ratio, hx, cx, ws, bs, xs, **kwargs): argument
241 n_layers, dropout_ratio, hx, cx, ws, bs, xs, **kwargs): argument
400 n_layers, dropout_ratio, hx, cx, ws, bs, xs, use_bi_direction, argument
|
| H A D | n_step_rnn.py | 441 n_layers, dropout_ratio, hx, ws, bs, xs, activation='tanh', **kwargs): argument
529 n_layers, dropout_ratio, hx, ws, bs, xs, activation='tanh', **kwargs): argument
634 def n_step_rnn_base(n_layers, dropout_ratio, hx, ws, bs, xs, argument
792 f, n_layers, dropout_ratio, hx, cx, ws, bs, xs, use_bi_direction): argument
865 def _dropout_sequence(xs, dropout_ratio): argument
|
| /dports/science/py-chainer-chemistry/chainer-chemistry-0.7.1/chainer_chemistry/models/ |
| H A D | gin.py | 36 dropout_ratio=0.5, concat_hidden=False, argument
128 dropout_ratio=0.5, concat_hidden=False, argument
|
| H A D | rsgcn.py | 42 use_batch_norm=False, readout=None, dropout_ratio=0.5): argument
|
| H A D | megnet.py | 40 def __init__(self, out_dim=32, n_update_layers=3, dropout_ratio=-1, argument
|
| H A D | relgat.py | 46 dropout_ratio=-1., weight_tying=False, argument
|
| /dports/science/py-chainer/chainer-7.8.0/chainer/functions/noise/ |
| H A D | dropout.py | 19 def __init__(self, dropout_ratio, mask=None, return_mask=False): argument
118 def __init__(self, states, dropout_ratio): argument
|
| /dports/science/py-chainer-chemistry/chainer-chemistry-0.7.1/chainer_chemistry/links/readout/ |
| H A D | megnet_readout.py | 25 processing_steps=3, dropout_ratio=-1, argument
|
| /dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/model_zoo/action_recognition/ |
| H A D | c3d.py | 36 def __init__(self, nclass, dropout_ratio=0.5, argument
|
| H A D | actionrec_vgg16.py | 40 dropout_ratio=0.5, init_std=0.001, argument
|
| H A D | actionrec_inceptionv1.py | 43 partial_bn=True, dropout_ratio=0.5, init_std=0.001, argument
|
| H A D | actionrec_inceptionv3.py | 43 partial_bn=True, dropout_ratio=0.5, init_std=0.001, argument
|
| /dports/science/py-chainer-chemistry/chainer-chemistry-0.7.1/chainer_chemistry/models/cwle/ |
| H A D | cwle_net.py | 72 dropout_ratio=0.5, concat_hidden=False, argument
126 use_batch_norm=False, readout=None, dropout_ratio=0.5, argument
|
| H A D | cwle_graph_conv_model.py | 59 dropout_ratio=-1.0, with_wle=True, argument
|
| /dports/science/py-chainer-chemistry/chainer-chemistry-0.7.1/chainer_chemistry/models/gwle/ |
| H A D | gwle_net.py | 72 dropout_ratio=0.5, concat_hidden=False, argument
126 use_batch_norm=False, readout=None, dropout_ratio=0.5, argument
|
| H A D | gwle_graph_conv_model.py | 59 dropout_ratio=-1.0, with_wle=True, argument
|
| /dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/torch/model_zoo/action_recognition/ |
| H A D | actionrec_resnetv1b.py | 46 dropout_ratio=0.5, init_std=0.01, argument
|
| /dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/model_zoo/ |
| H A D | googlenet.py | 226 def __init__(self, classes=1000, norm_layer=BatchNorm, dropout_ratio=0.4, aux_logits=False, argument
310 dropout_ratio=0.4, aux_logits=False, argument
|