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Searched defs:LSTMCell (Results 1 – 15 of 15) sorted by relevance

/aosp_15_r20/external/tensorflow/tensorflow/python/ops/
H A Drnn_cell_impl.py42 LSTMCell = rnn_cell_impl.LSTMCell variable
/aosp_15_r20/external/tensorflow/tensorflow/compiler/tests/
H A Dlstm.py45 def LSTMCell(weights, m_prev, c_prev, x, pad): function
/aosp_15_r20/external/pytorch/torch/ao/nn/quantizable/modules/
H A Drnn.py19 class LSTMCell(torch.nn.Module): class
/aosp_15_r20/external/pytorch/aten/src/ATen/native/
H A DRNN.cpp722 struct LSTMCell : Cell<std::tuple<Tensor, Tensor>, cell_params> { struct
723 using hidden_type = std::tuple<Tensor, Tensor>;
725 hidden_type operator()( in operator ()()
/aosp_15_r20/external/pytorch/benchmarks/fastrnns/
H A Dcustom_lstms.py122 class LSTMCell(jit.ScriptModule): class
/aosp_15_r20/external/pytorch/torch/ao/nn/quantized/reference/modules/
H A Drnn.py245 class LSTMCell(RNNCellBase): class
/aosp_15_r20/external/tensorflow/tensorflow/python/keras/layers/legacy_rnn/
H A Drnn_cell_impl.py828 class LSTMCell(LayerRNNCell): class
/aosp_15_r20/external/pytorch/torch/nn/modules/
H A Drnn.py1609 class LSTMCell(RNNCellBase): class
/aosp_15_r20/packages/modules/NeuralNetworks/common/cpu_operations/
DLSTM.cpp54 LSTMCell::LSTMCell(const Operation& operation, RunTimeOperandInfo* operands) { in LSTMCell() function in android::nn::LSTMCell
/aosp_15_r20/external/tensorflow/tensorflow/python/keras/layers/
H A Drecurrent_v2.py841 class LSTMCell(recurrent.LSTMCell): class
H A Drecurrent.py2252 class LSTMCell(DropoutRNNCellMixin, Layer): class
/aosp_15_r20/external/pytorch/torch/ao/nn/quantized/dynamic/modules/
H A Drnn.py1261 class LSTMCell(RNNCellBase): class
/aosp_15_r20/external/tensorflow/tensorflow/python/framework/
H A Dfunction_test.py1515 def LSTMCell(cls, x, mprev, cprev, weights): member in UnrollLSTMTest
/aosp_15_r20/external/pytorch/test/cpp/api/
H A Dmodules.cpp4432 TEST_F(ModulesTest, LSTMCell) { in TEST_F() argument
/aosp_15_r20/external/pytorch/test/
H A Dtest_jit.py207 def LSTMCell(input, hidden, w_ih, w_hh, b_ih=None, b_hh=None): function