/dports/misc/py-gluonnlp/gluon-nlp-0.10.0/src/gluonnlp/model/train/ |
H A D | language_model.py | 127 def begin_state(self, *args, **kwargs): member in AWDRNN 133 def __call__(self, inputs, begin_state=None): argument 164 def hybrid_forward(self, F, inputs, begin_state=None): # pylint: disable=arguments-differ argument 294 def begin_state(self, *args, **kwargs): member in StandardRNN 300 def __call__(self, inputs, begin_state=None): # pylint: disable=arguments-differ argument 330 def hybrid_forward(self, F, inputs, begin_state=None): # pylint: disable=arguments-differ argument 482 def begin_state(self, **kwargs): member in BigRNN 485 … def forward(self, inputs, label, begin_state, sampled_values): # pylint: disable=arguments-differ argument
|
H A D | cache.py | 94 def begin_state(self, *args, **kwargs): member in CacheCell 99 def __call__(self, inputs, target, next_word_history, cache_history, begin_state=None): argument 133 def hybrid_forward(self, F, inputs, target, next_word_history, cache_history, begin_state=None): argument
|
/dports/misc/mxnet/incubator-mxnet-1.9.0/python/mxnet/gluon/rnn/ |
H A D | rnn_cell.py | 43 def _get_begin_state(cell, F, begin_state, inputs, batch_size): argument 154 def begin_state(self, batch_size=0, func=ndarray.zeros, **kwargs): member in RecurrentCell 195 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None, argument 706 def begin_state(self, **kwargs): member in SequentialRNNCell 726 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None, argument 784 def begin_state(self, **kwargs): member in HybridSequentialRNNCell 803 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None, argument 878 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None, argument 914 def begin_state(self, func=symbol.zeros, **kwargs): member in ModifierCell 993 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None, argument [all …]
|
H A D | rnn_layer.py | 190 def begin_state(self, batch_size=0, func=ndarray.zeros, **kwargs): member in _RNNLayer
|
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/python/mxnet/gluon/rnn/ |
H A D | rnn_cell.py | 43 def _get_begin_state(cell, F, begin_state, inputs, batch_size): argument 154 def begin_state(self, batch_size=0, func=ndarray.zeros, **kwargs): member in RecurrentCell 195 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None, argument 706 def begin_state(self, **kwargs): member in SequentialRNNCell 726 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None, argument 784 def begin_state(self, **kwargs): member in HybridSequentialRNNCell 803 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None, argument 878 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None, argument 914 def begin_state(self, func=symbol.zeros, **kwargs): member in ModifierCell 993 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None, argument [all …]
|
H A D | rnn_layer.py | 190 def begin_state(self, batch_size=0, func=ndarray.zeros, **kwargs): member in _RNNLayer
|
/dports/misc/py-gluonnlp/gluon-nlp-0.10.0/tests/unittest/ |
H A D | test_sequence_sampler.py | 183 def begin_state(self, batch_size): member in test_beam_search.RNNDecoder 203 def begin_state(self, batch_size): member in test_beam_search.RNNDecoder2 236 def begin_state(self, batch_size): member in test_beam_search.RNNLayerDecoder
|
/dports/misc/py-gluonnlp/gluon-nlp-0.10.0/src/gluonnlp/model/ |
H A D | language_model.py | 72 def hybrid_forward(self, F, inputs, begin_state=None): argument 142 def hybrid_forward(self, F, inputs, begin_state=None): # pylint: disable=arguments-differ argument 536 def begin_state(self, **kwargs): member in BigRNN 539 def forward(self, inputs, begin_state): # pylint: disable=arguments-differ argument
|
H A D | bilm_encoder.py | 127 def begin_state(self, func, **kwargs): member in BiLMEncoder
|
H A D | elmo.py | 238 def begin_state(self, func, **kwargs): member in ELMoBiLM
|
/dports/misc/mxnet/incubator-mxnet-1.9.0/python/mxnet/rnn/ |
H A D | rnn_cell.py | 189 def begin_state(self, func=symbol.zeros, **kwargs): member in BaseRNNCell 294 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None): argument 669 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None): argument 781 def begin_state(self, **kwargs): # pylint: disable=arguments-differ member in SequentialRNNCell 806 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None): argument 855 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None): argument 889 def begin_state(self, init_sym=symbol.zeros, **kwargs): # pylint: disable=arguments-differ member in ModifierCell 976 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None): argument 1040 def begin_state(self, **kwargs): # pylint: disable=arguments-differ member in BidirectionalCell 1046 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None): argument
|
H A D | rnn.py | 26 def rnn_unroll(cell, length, inputs=None, begin_state=None, input_prefix='', layout='NTC'): argument
|
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/python/mxnet/rnn/ |
H A D | rnn_cell.py | 189 def begin_state(self, func=symbol.zeros, **kwargs): member in BaseRNNCell 294 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None): argument 669 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None): argument 781 def begin_state(self, **kwargs): # pylint: disable=arguments-differ member in SequentialRNNCell 806 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None): argument 855 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None): argument 889 def begin_state(self, init_sym=symbol.zeros, **kwargs): # pylint: disable=arguments-differ member in ModifierCell 976 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None): argument 1040 def begin_state(self, **kwargs): # pylint: disable=arguments-differ member in BidirectionalCell 1046 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None): argument
|
H A D | rnn.py | 26 def rnn_unroll(cell, length, inputs=None, begin_state=None, input_prefix='', layout='NTC'): argument
|
/dports/misc/mxnet/incubator-mxnet-1.9.0/example/gluon/word_language_model/ |
H A D | model.py | 63 def begin_state(self, *args, **kwargs): member in RNNModel
|
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/gluon/word_language_model/ |
H A D | model.py | 63 def begin_state(self, *args, **kwargs): member in RNNModel
|
/dports/misc/mxnet/incubator-mxnet-1.9.0/python/mxnet/gluon/contrib/rnn/ |
H A D | rnn_cell.py | 116 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None, argument 325 def dynamic_unroll(cell, inputs, begin_state, drop_inputs=0, drop_outputs=0, argument
|
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/python/mxnet/gluon/contrib/rnn/ |
H A D | rnn_cell.py | 116 def unroll(self, length, inputs, begin_state=None, layout='NTC', merge_outputs=None, argument 325 def dynamic_unroll(cell, inputs, begin_state, drop_inputs=0, drop_outputs=0, argument
|
/dports/editors/xvile/vile-9.8v/filters/ |
H A D | fltstack.h | 104 begin_state(int code) in begin_state() function
|
/dports/editors/vile/vile-9.8v/filters/ |
H A D | fltstack.h | 104 begin_state(int code) in begin_state() function
|
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/tests/python/unittest/ |
H A D | test_gluon_contrib.py | 32 def check_rnn_cell(cell, prefix, in_shape=(10, 50), out_shape=(10, 100), begin_state=None): argument
|
/dports/misc/mxnet/incubator-mxnet-1.9.0/tests/python/unittest/ |
H A D | test_gluon_contrib.py | 32 def check_rnn_cell(cell, prefix, in_shape=(10, 50), out_shape=(10, 100), begin_state=None): argument
|
/dports/devel/mdds/mdds-1.7.0/include/mdds/multi_type_vector/ |
H A D | collection.hpp | 90 enum begin_state_type { begin_state }; enumerator
|
/dports/chinese/libime/libime-1.0.9/src/libime/core/kenlm/lm/ |
H A D | kenlm_benchmark_main.cc | 43 const lm::ngram::State *const begin_state = &model_.BeginSentenceState(); in operator ()() local
|
/dports/lang/gnat_util/gcc-6-20180516/gcc/ |
H A D | diagnostic-show-locus.c | 275 colorizer::begin_state (int state) in begin_state() function
|