| /external/apache-xml/src/main/java/org/apache/xml/serializer/ |
| ElemContext.java | 101 * that connections between the frames via m_next and m_prev
109 final ElemContext m_prev; field in class:ElemContext
124 m_prev = this;
141 m_prev = previous;
155 return this.m_prev;
|
| ToXMLSAXHandler.java | 273 m_elemContext = m_elemContext.m_prev;
|
| ToHTMLStream.java | [all...] |
| ToStream.java | [all...] |
| /external/opencv/cv/src/ |
| _cvlist.h | 88 struct prefix##element_##type* m_prev;\
123 element->m_next->m_prev = NULL;\
150 ((element_type*)l->m_head_free.m_pos)->m_prev = element;\
210 pos->m_pos = element->m_prev;\
233 element->m_prev = NULL;\
238 element->m_next->m_prev = element;\
252 element->m_prev = (ELEMENT_##type*)(l->m_tail.m_pos);\
254 if(element->m_prev)\
256 element->m_prev->m_next = element;\
270 element->m_next->m_prev = NULL;
[all...] |
| /external/tensorflow/tensorflow/compiler/tests/ |
| lstm_test.py | 64 def _NextC(self, inputs, weight, m_prev, c_prev):
66 x = (inputs + m_prev) * weight
69 def _NextM(self, inputs, weight, m_prev, c_prev):
71 x = (inputs + m_prev) * weight
72 return _Clip(_Sigmoid(x) * self._NextC(inputs, weight, m_prev, c_prev))
81 m_prev = constant_op.constant([[m_prev_scalar]] * self._batch_size)
86 m, c = lstm.LSTMCell(weights, m_prev, c_prev, x, pad)
110 for m_prev in [0., 1.]:
113 init_ops.ones_initializer(), m_prev, c_prev,
115 self.assertAllClose(m, self._NextM(self._inputs, 1., m_prev, c_prev)
[all...] |
| lstm.py | 47 def LSTMCell(weights, m_prev, c_prev, x, pad):
52 m_prev: Previous m states with shape [batch_size, num_nodes].
64 xm = array_ops.concat([x, m_prev], 1)
80 m_next = m_prev * pad + m_next * (1.0 - pad)
|
| /external/tensorflow/tensorflow/contrib/grid_rnn/python/ops/ |
| grid_rnn_cell.py | 180 c_prev, m_prev, cell_output_size = self._extract_states(state)
186 # project input, populate c_prev and m_prev
187 self._project_input(inputs, c_prev, m_prev, cell_output_size > 0)
191 _propagate(conf.non_priority, conf, self._cells, c_prev, m_prev,
194 c_prev, m_prev, new_output, new_state, False)
235 # m_prev is `h` (previous output) in the paper.
238 m_prev = [None] * conf.num_dims
253 c_prev[recurrent_dim], m_prev[recurrent_dim] = recurrent_state
255 m_prev[recurrent_dim] = recurrent_state
263 m_prev[recurrent_dim] = array_ops.slice
[all...] |
| /external/tensorflow/tensorflow/contrib/model_pruning/python/layers/ |
| rnn_cells.py | 302 (c_prev, m_prev) = state
305 m_prev = array_ops.slice(state, [0, self._num_units], [-1, num_proj])
313 array_ops.concat([inputs, m_prev], 1), self._masked_kernel)
|
| /external/tensorflow/tensorflow/contrib/rnn/python/ops/ |
| rnn_cell.py | 244 (c_prev, m_prev) = state
247 m_prev = array_ops.slice(state, [0, self._num_units], [-1, num_proj])
264 cell_inputs = array_ops.concat([inputs, m_prev], 1)
433 m_prev = array_ops.slice(state, [0, (2 * fq + 1) * self._num_units],
436 cell_inputs = array_ops.concat([freq_inputs[fq], m_prev, m_prev_freq], 1)
[all...] |
| /external/tensorflow/tensorflow/python/ops/ |
| rnn_cell_impl.py | 779 (c_prev, m_prev) = state
782 m_prev = array_ops.slice(state, [0, self._num_units], [-1, num_proj])
790 array_ops.concat([inputs, m_prev], 1), self._kernel)
[all...] |
| /external/libvpx/libvpx/third_party/libwebm/mkvparser/ |
| mkvparser.h | 179 const long long m_prev; member in class:mkvparser::BlockGroup
|
| mkvparser.cc | [all...] |
| /external/libvpx/libwebm/mkvparser/ |
| mkvparser.h | 179 const long long m_prev; member in class:mkvparser::BlockGroup
|
| mkvparser.cc | [all...] |
| /prebuilts/tools/common/m2/repository/xalan/serializer/2.7.1/ |
| serializer-2.7.1.jar | |
