/dports/misc/mxnet/incubator-mxnet-1.9.0/example/speech_recognition/ |
H A D | stt_layer_gru.py | 35 def gru(num_hidden, indata, prev_state, param, seqidx, layeridx, dropout=0., is_batchnorm=False, ga… argument 83 def gru_unroll(net, num_gru_layer, seq_len, num_hidden_gru_list, dropout=0., is_batchnorm=False, p… argument 175 def bi_gru_unroll(net, num_gru_layer, seq_len, num_hidden_gru_list, dropout=0., is_batchnorm=False,… argument 202 …ru_unroll_two_input_two_output(net1, net2, num_gru_layer, seq_len, num_hidden_gru_list, dropout=0., argument
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H A D | stt_layer_lstm.py | 65 def lstm(num_hidden, indata, prev_state, param, seqidx, layeridx, dropout=0., num_hidden_proj=0, is… argument 121 def lstm_unroll(net, num_lstm_layer, seq_len, num_hidden_lstm_list, dropout=0., num_hidden_proj=0, argument 241 def bi_lstm_unroll(net, num_lstm_layer, seq_len, num_hidden_lstm_list, dropout=0., num_hidden_proj=… argument 275 …_unroll_two_input_two_output(net1, net2, num_lstm_layer, seq_len, num_hidden_lstm_list, dropout=0., argument
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/speech_recognition/ |
H A D | stt_layer_gru.py | 35 def gru(num_hidden, indata, prev_state, param, seqidx, layeridx, dropout=0., is_batchnorm=False, ga… argument 83 def gru_unroll(net, num_gru_layer, seq_len, num_hidden_gru_list, dropout=0., is_batchnorm=False, p… argument 175 def bi_gru_unroll(net, num_gru_layer, seq_len, num_hidden_gru_list, dropout=0., is_batchnorm=False,… argument 202 …ru_unroll_two_input_two_output(net1, net2, num_gru_layer, seq_len, num_hidden_gru_list, dropout=0., argument
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H A D | stt_layer_lstm.py | 65 def lstm(num_hidden, indata, prev_state, param, seqidx, layeridx, dropout=0., num_hidden_proj=0, is… argument 121 def lstm_unroll(net, num_lstm_layer, seq_len, num_hidden_lstm_list, dropout=0., num_hidden_proj=0, argument 241 def bi_lstm_unroll(net, num_lstm_layer, seq_len, num_hidden_lstm_list, dropout=0., num_hidden_proj=… argument 275 …_unroll_two_input_two_output(net1, net2, num_lstm_layer, seq_len, num_hidden_lstm_list, dropout=0., argument
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/dports/misc/mxnet/incubator-mxnet-1.9.0/example/rnn/old/ |
H A D | lstm.py | 34 def lstm(num_hidden, indata, prev_state, param, seqidx, layeridx, dropout=0.): argument 66 num_hidden, num_embed, num_label, dropout=0.): argument 133 num_hidden, num_embed, num_label, dropout=0.): argument
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H A D | gru.py | 34 def gru(num_hidden, indata, prev_state, param, seqidx, layeridx, dropout=0.): argument 76 num_hidden, num_embed, num_label, dropout=0.): argument
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H A D | rnn.py | 34 def rnn(num_hidden, in_data, prev_state, param, seqidx, layeridx, dropout=0., batch_norm=False): argument 57 num_hidden, num_embed, num_label, dropout=0., batch_norm=False): argument
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/rnn/old/ |
H A D | lstm.py | 34 def lstm(num_hidden, indata, prev_state, param, seqidx, layeridx, dropout=0.): argument 66 num_hidden, num_embed, num_label, dropout=0.): argument 133 num_hidden, num_embed, num_label, dropout=0.): argument
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H A D | gru.py | 34 def gru(num_hidden, indata, prev_state, param, seqidx, layeridx, dropout=0.): argument 76 num_hidden, num_embed, num_label, dropout=0.): argument
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H A D | rnn.py | 34 def rnn(num_hidden, in_data, prev_state, param, seqidx, layeridx, dropout=0., batch_norm=False): argument 57 num_hidden, num_embed, num_label, dropout=0., batch_norm=False): argument
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/dports/misc/mxnet/incubator-mxnet-1.9.0/python/mxnet/gluon/model_zoo/vision/ |
H A D | densenet.py | 32 def _make_dense_block(num_layers, bn_size, growth_rate, dropout, stage_index): argument 39 def _make_dense_layer(growth_rate, bn_size, dropout): argument 86 bn_size=4, dropout=0, classes=1000, **kwargs): argument
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/dports/misc/py-gluonnlp/gluon-nlp-0.10.0/scripts/natural_language_inference/ |
H A D | decomposable_attention.py | 35 dropout=0., intra_attention=False, **kwargs): argument 82 def __init__(self, inp_size, hidden_size, dropout=0., **kwargs): argument 119 def __init__(self, inp_size, hidden_size, num_class, dropout=0., **kwargs): argument
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/python/mxnet/gluon/model_zoo/vision/ |
H A D | densenet.py | 32 def _make_dense_block(num_layers, bn_size, growth_rate, dropout, stage_index): argument 39 def _make_dense_layer(growth_rate, bn_size, dropout): argument 86 bn_size=4, dropout=0, classes=1000, **kwargs): argument
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/dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/model_zoo/ |
H A D | densenet.py | 30 def _make_dense_block(num_layers, bn_size, growth_rate, dropout, stage_index, argument 38 def _make_dense_layer(growth_rate, bn_size, dropout, norm_layer, norm_kwargs): argument 91 bn_size=4, dropout=0, classes=1000, argument
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/dports/misc/py-gluonnlp/gluon-nlp-0.10.0/scripts/sentiment_analysis/ |
H A D | text_cnn.py | 29 def __init__(self, dropout, embed_size=300, vocab_size=100, prefix=None, argument 58 def model(dropout, vocab, model_mode, output_size): argument
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/dports/math/py-flax/flax-0.3.3/flax/core/nn/ |
H A D | stochastic.py | 24 def dropout(scope, inputs, rate, deterministic=False, rng=None): function
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/dports/misc/py-gluonnlp/gluon-nlp-0.10.0/scripts/machine_translation/ |
H A D | gnmt.py | 72 dropout=0.0, use_residual=True, argument 166 dropout=0.0, use_residual=True, output_attention=False, argument 460 num_bi_layers=1, hidden_size=128, dropout=0.0, use_residual=False, argument
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/dports/misc/py-gluonnlp/gluon-nlp-0.10.0/src/gluonnlp/model/ |
H A D | transformer.py | 90 def __init__(self, *, units=512, hidden_size=2048, dropout=0.0, use_residual=True, argument 200 scaled=True, dropout=0.0, use_residual=True, output_attention=False, argument 316 dropout=0.0, use_residual=True, output_attention=False, output_all_encodings=False, argument 492 dropout=0.0, use_residual=True, output_attention=False, argument 586 dropout=0.0, use_residual=True, output_attention=False, weight_initializer=None, argument 881 units=512, hidden_size=2048, dropout=0.0, use_residual=True, argument
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H A D | utils.py | 163 dropout, weight_dropout, argument 245 def _get_rnn_layer(mode, num_layers, input_size, hidden_size, dropout, weight_dropout): argument
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/dports/misc/mnn/MNN-1.2.0/tools/train/source/models/ |
H A D | MobilenetV1.hpp | 32 std::shared_ptr<Express::Module> dropout; member in MNN::Train::Model::MobilenetV1
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H A D | MobilenetV2.hpp | 34 std::shared_ptr<Express::Module> dropout; member in MNN::Train::Model::MobilenetV2
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H A D | Lenet.hpp | 28 std::shared_ptr<Express::Module> dropout; member in MNN::Train::Model::Lenet
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/dports/misc/mxnet/incubator-mxnet-1.9.0/example/rnn/large_word_lm/ |
H A D | model.py | 47 def rnn(bptt, vocab_size, num_embed, nhid, num_layers, dropout, num_proj, batch_size): argument 152 nhid, nlayers, dropout, num_proj, batch_size, k): argument
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/rnn/large_word_lm/ |
H A D | model.py | 47 def rnn(bptt, vocab_size, num_embed, nhid, num_layers, dropout, num_proj, batch_size): argument 152 nhid, nlayers, dropout, num_proj, batch_size, k): argument
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/dports/math/py-theano/Theano-1.0.5/theano/gpuarray/c_code/ |
H A D | dnn_dropout_desc.c | 3 int dnn_dropout_desc(float dropout, unsigned long long seed, in dnn_dropout_desc()
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