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Functions2,496 in github.com/clab/dynet

⨍ Functions 2,496◇ Types & classes 546
MethodTextFileLoader
dynet/io.cc:140
MethodTextFileSaver
dynet/io.cc:62
MethodTimer
dynet/timing.h:19
MethodTiming
dynet/timing.h:29
MethodToDevice
dynet/nodes-to-device.h:10
MethodTraceOfProduct
dynet/nodes-linalg.h:51
MethodTrainerIOTest
tests/test-trainers-io.cc:31
MethodTrainerTest
tests/test-trainers.cc:16
MethodTransformerConfig
examples/transformer/transformer.h:112
MethodTransformerModel
examples/transformer/transformer.h:1231
MethodTranspose
dynet/nodes-linalg.h:13
MethodUnidirectionalTreeLSTMBuilder
dynet/treelstm.h:121
MethodUnidirectionalTreeLSTMBuilder
dynet/treelstm.cc:289
MethodUpdateMemDescriptors
<summary> <para>Update the default&amp;max mem-descriptor variables, memory is released during RenewCG().</para> </summary>
contrib/csharp/dynetsharp/dynetsharp/dynet.cpp:1727
FunctionVanillaLSTMC
dynet/nodes-lstm.h:28
FunctionVanillaLSTMGates
dynet/nodes-lstm.h:10
MethodVanillaLSTMH
dynet/nodes-lstm.h:42
FunctionVecToUInt
contrib/csharp/dynetsharp/dynetsharp/dynet.h:1702
MethodWeightNormalization
dynet/nodes-normalization.h:11
MethodXORModel
It is important to have a null default constructor for the class, as we would first need to read the class object from the file, followed by the dynet
examples/read-write/train_read-write.cc:24
MethodXorModel
examples/multiprocessing/train_xor-simple-mp.cc:22
MethodXorModel
examples/multiprocessing/train_xor-mp.cc:23
Method__add__
(self, other)
python/dynet_viz.py:148
Method__call__
(self, x)
python/model_test.py:19
Method__call__
(self, x)
python/model_test.py:35
Method__call__
(self, in_expr)
python/model_test.py:49
Method__call__
(self, x, dropout=False)
examples/mnist/mnist-autobatch.py:78
Method__call__
(self, inputs, dropout=False)
examples/mnist/basic-mnist-benchmarks/mnist_dynet_minibatch.py:73
Method__call__
(self, inputs, dropout=False)
examples/mnist/basic-mnist-benchmarks/mnist_dynet_autobatch.py:73
Method__call__
(self, obs, batched=False)
examples/reinforcement-learning/network.py:35
Method__call__
(self, obs, batched=False)
examples/reinforcement-learning/network.py:65
Method__call__
(self, x)
examples/variational-autoencoder/basic-image-recon/vae.py:60
Method__div__
(self, other)
python/dynet_viz.py:160
Method__eq__
(self, other)
python/dynet_viz.py:35
Method__getitem__
(self, key)
python/dynet_viz.py:32
Method__getitem__
(self, key)
python/dynet_viz.py:45
Method__getitem__
(self, i)
python/dynet_viz.py:135
Method__getitem__
(self, idx)
examples/reinforcement-learning/reduce_tree.py:31
Method__getslice__
(self, i, j)
python/dynet_viz.py:136
Method__hash__
(self)
python/dynet_viz.py:37
Method__init__
(self, *args, **kwargs)
setup.py:190
Method__init__
(self, nrows, ncols, inferred)
python/dynet_viz.py:28
Method__init__
(self, a_dim=None, b_dim=None)
python/dynet_viz.py:42
Method__init__
(self, name, args, dim)
python/dynet_viz.py:122
Method__init__
(self, guard=0)
python/dynet_viz.py:212
Method__init__
(self, layers, input_dim, hidden_dim, model)
python/dynet_viz.py:489
Method__init__
(self, layers, input_dim, hidden_dim, model)
python/dynet_viz.py:499
Method__init__
(self, layers, input_dim, hidden_dim, model)
python/dynet_viz.py:509
Method__init__
(self, layers, input_dim, hidden_dim, model)
python/dynet_viz.py:519
Method__init__
@param num_layers: depth of the BiRNN @param input_dim: size of the inputs @param hidden_dim: size of the outputs (and interm
python/dynet_viz.py:536
Method__init__
(self, builder, state_idx=-1, prev_state=None, out=None)
python/dynet_viz.py:625
Method__init__
(self, states, prev=None)
python/dynet_viz.py:663
Method__init__
(self, m, e0 = 0.1, *args)
python/dynet_viz.py:705
Method__init__
(self, m, e0 = 0.01, mom = 0.9, *args)
python/dynet_viz.py:707
Method__init__
(self, m, e0 = 0.1, eps = 1e-20, *args)
python/dynet_viz.py:709
Method__init__
(self, m, eps = 1e-6, rho = 0.95, *args)
python/dynet_viz.py:711
Method__init__
(self, m, alpha = 0.001, beta_1 = 0.9, beta_2 = 0.999, eps = 1e-8, *args )
python/dynet_viz.py:713
Method__init__
(self, mean=0, var=1)
python/dynet_viz.py:718
Method__init__
(self, scale)
python/dynet_viz.py:720
Method__init__
(self, c)
python/dynet_viz.py:722
Method__init__
(self, is_lookup=False)
python/dynet_viz.py:724
Method__init__
(self, fname)
python/dynet_viz.py:726
Method__init__
(self, array)
python/dynet_viz.py:728
Method__init__
(self, name, input_dim, label, output_dim, children, features, node_type, expr_name)
python/dynet_viz.py:761
Method__init__
(self, nin, nout, act, model)
python/model_test.py:12
Method__init__
(self, sizes, act, model)
python/model_test.py:30
Method__init__
(self, act)
python/model_test.py:47
Method__init__
(self, model, train, dev, params)
examples/treelstm/scheduler.py:8
Method__init__
(self, label, children=None)
examples/treelstm/dataloader.py:42
Method__init__
(self, datapath)
examples/treelstm/dataloader.py:81
Method__init__
(self, pc_param, pc_embed, word_vocab, wdim, hdim, word_embed=None)
examples/treelstm/model.py:7
Method__init__
(self, n_classes, w2i, word_embed, params, model_meta_file=None)
examples/treelstm/model.py:49
Method__init__
(self, model, LAYERS, INPUT_DIM, HIDDEN_DIM, VOCAB_SIZE, builder=dy.SimpleRNNBuilder)
examples/batching/rnnlm-batch.py:18
Method__init__
(self, w2i)
examples/python-utils/util.py:4
Method__init__
(self, fname)
examples/python-utils/util.py:22
Method__init__
(self, fname)
examples/python-utils/util.py:38
Method__init__
(self, fname, begin=None)
examples/python-utils/util.py:47
Method__init__
(self, m)
examples/mnist/mnist-autobatch.py:64
Method__init__
(self, m)
examples/mnist/basic-mnist-benchmarks/mnist_dynet_minibatch.py:64
Method__init__
(self, m)
examples/mnist/basic-mnist-benchmarks/mnist_dynet_autobatch.py:64
Method__init__
(self)
examples/mnist/basic-mnist-benchmarks/mnist_pytorch.py:55
Method__init__
(self, model, LAYERS, INPUT_DIM, HIDDEN_DIM, VOCAB_SIZE, builder=dy.SimpleRNNBuilder)
examples/tensorboard/rnnlm-batch.py:20
Method__init__
(self, w2i)
examples/tensorboard/util.py:4
Method__init__
(self, fname)
examples/tensorboard/util.py:22
Method__init__
(self, fname)
examples/tensorboard/util.py:38
Method__init__
(self, fname, begin=None)
examples/tensorboard/util.py:47
Method__init__
(self, pc)
examples/reinforcement-learning/network.py:5
Method__init__
(self, opt_size, network, dueling=False, **kwargs)
examples/reinforcement-learning/network.py:52
Method__init__
(self, obs_dim, action_dim, hiddens_actor, hiddens_critic, layer_norm=False, memory_size=50000)
examples/reinforcement-learning/ddpg.py:11
Method__init__
(self, size)
examples/reinforcement-learning/memory.py:9
Method__init__
(self, size, alpha=0.6)
examples/reinforcement-learning/memory.py:25
Method__init__
(self, size, op)
examples/reinforcement-learning/reduce_tree.py:7
Method__init__
(self, size)
examples/reinforcement-learning/reduce_tree.py:47
Method__init__
(self, network, memory_size, use_double_dqn=False, target_network=None, n_replace_target=500,
examples/reinforcement-learning/dqn.py:13
Method__init__
(self, model, LAYERS, INPUT_DIM, HIDDEN_DIM, VOCAB_SIZE, builder=dy.SimpleRNNBuilder)
examples/rnnlm/rnnlm.py:17
Method__init__
(self, model, vocab_size, start)
examples/rnnlm/lstmlm-auto.py:36
Method__init__
(self, model, LAYERS, INPUT_DIM, HIDDEN_DIM, VOCAB_SIZE, builder=dy.SimpleRNNBuilder)
examples/rnnlm/rnnlm_transduce.py:20
Method__init__
(self, dim_in, dim_out, dyParameterCollection)
examples/variational-autoencoder/basic-image-recon/vae.py:51
Method__init__
(self, dyParameterCollection)
examples/variational-autoencoder/basic-image-recon/vae.py:75
Method__iter__
(self)
python/dynet_viz.py:33
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