/dports/misc/ncnn/ncnn-20211208/tools/pnnx/tests/ncnn/ |
H A D | test_nn_LSTM.py | 23 self.lstm_0_0 = nn.LSTM(input_size=32, hidden_size=16) 24 self.lstm_0_1 = nn.LSTM(input_size=16, hidden_size=16, num_layers=3, bias=False) 25 …self.lstm_0_2 = nn.LSTM(input_size=16, hidden_size=16, num_layers=4, bias=True, bidirectional=True) 26 …self.lstm_0_3 = nn.LSTM(input_size=16, hidden_size=16, num_layers=4, bias=True, bidirectional=True) 27 …self.lstm_0_4 = nn.LSTM(input_size=16, hidden_size=16, num_layers=4, bias=True, bidirectional=True) 29 self.lstm_1_0 = nn.LSTM(input_size=25, hidden_size=16, batch_first=True) 30 … self.lstm_1_1 = nn.LSTM(input_size=16, hidden_size=16, num_layers=3, bias=False, batch_first=True) 31 …self.lstm_1_2 = nn.LSTM(input_size=16, hidden_size=16, num_layers=4, bias=True, batch_first=True, … 32 …self.lstm_1_3 = nn.LSTM(input_size=16, hidden_size=16, num_layers=4, bias=True, batch_first=True, … 33 …self.lstm_1_4 = nn.LSTM(input_size=16, hidden_size=16, num_layers=4, bias=True, batch_first=True, …
|
/dports/misc/ncnn/ncnn-20211208/tools/pnnx/tests/ |
H A D | test_nn_LSTM.py | 23 self.lstm_0_0 = nn.LSTM(input_size=32, hidden_size=16) 24 self.lstm_0_1 = nn.LSTM(input_size=16, hidden_size=16, num_layers=3, bias=False) 25 …self.lstm_0_2 = nn.LSTM(input_size=16, hidden_size=16, num_layers=4, bias=True, bidirectional=True) 26 …self.lstm_0_3 = nn.LSTM(input_size=16, hidden_size=16, num_layers=4, bias=True, bidirectional=True) 28 self.lstm_1_0 = nn.LSTM(input_size=25, hidden_size=16, batch_first=True) 29 … self.lstm_1_1 = nn.LSTM(input_size=16, hidden_size=16, num_layers=3, bias=False, batch_first=True) 30 …self.lstm_1_2 = nn.LSTM(input_size=16, hidden_size=16, num_layers=4, bias=True, batch_first=True, … 31 …self.lstm_1_3 = nn.LSTM(input_size=16, hidden_size=16, num_layers=4, bias=True, batch_first=True, …
|
/dports/math/libxsmm/libxsmm-1.16.3/ |
H A D | .test-rnn.yml | 20 (echo; echo "--- TEST LSTM (NC-CK)"; CHECK=1 ./run_lstmcell.sh nc_ck f32 100 0 256 32 32 32 ) && 21 (echo; echo "--- TEST LSTM (NC-CK)"; CHECK=1 ./run_lstmcell.sh nc_ck f32 100 3 256 32 32 32 ) && 22 …(echo; echo "--- TEST LSTM (NC-KCCK)"; CHECK=1 ./run_lstmcell.sh nc_kcck f32 100 0 256 32 32 32 ) … 23 …(echo; echo "--- TEST LSTM (NC-KCCK)"; CHECK=1 ./run_lstmcell.sh nc_kcck f32 100 3 256 32 32 32 ) … 24 …(echo; echo "--- TEST LSTM (NC-CK/BF16)"; CHECK=1 CHECK_SCALE=0.001 ./run_lstmcell.sh nc_ck bf16 1… 25 …(echo; echo "--- TEST LSTM (NC-CK/BF16)"; CHECK=1 CHECK_SCALE=0.001 ./run_lstmcell.sh nc_ck bf16 1… 26 …(echo; echo "--- TEST LSTM (NC-KCCK/BF16)"; CHECK=1 CHECK_SCALE=0.001 ./run_lstmcell.sh nc_kcck bf… 27 …(echo; echo "--- TEST LSTM (NC-KCCK/BF16)"; CHECK=1 CHECK_SCALE=0.001 ./run_lstmcell.sh nc_kcck bf…
|
/dports/misc/mnn/MNN-1.2.0/tools/converter/source/caffe/ |
H A D | LSTM.cpp | 11 class LSTM : public OpConverter { class 22 void LSTM::run(MNN::OpT* dstOp, const caffe::LayerParameter& parameters, const caffe::LayerParamete… in run() 70 static OpConverterRegister<LSTM> a("Lstm"); 71 static OpConverterRegister<LSTM> _a("OCRLSTM"); 72 static OpConverterRegister<LSTM> _sa("OCRLSTMQ"); 73 static OpConverterRegister<LSTM> __b("CuDNNLstmForward");
|
/dports/math/onednn/oneDNN-2.5.1/doc/primitives/ |
H A D | rnn.md | 48 And here is the equation for LSTM cells: 61 - [LSTM](#LSTM), a four-gate long short-term memory cell, 90 ### LSTM subsection 92 #### LSTM (or Vanilla LSTM) argument 131 #### LSTM with Peephole argument 164 the same as in vanilla LSTM. 171 #### LSTM with Projection (or LSTMP) argument 189 LSTM without peephole is shown): 205 the same as in vanilla LSTM. 343 (1) With LSTM and Peephole LSTM cells, the cell state datatype is f32, [all …]
|
/dports/graphics/tesseract/tesseract-5.0.0/src/lstm/ |
H A D | lstm.cpp | 101 LSTM::LSTM(const std::string &name, int ni, int ns, int no, bool two_dimensional, NetworkType type) in LSTM() function in tesseract::LSTM 126 LSTM::~LSTM() { in ~LSTM() 146 void LSTM::SetEnableTraining(TrainingState state) { in SetEnableTraining() 202 void LSTM::ConvertToInt() { in ConvertToInt() 215 void LSTM::DebugWeights() { in DebugWeights() 230 bool LSTM::Serialize(TFile *fp) const { in Serialize() 253 bool LSTM::DeSerialize(TFile *fp) { in DeSerialize() 763 const LSTM *lstm = static_cast<const LSTM *>(&other); in CountAlternators() 778 void LSTM::PrintW() { in PrintW() 809 void LSTM::PrintDW() { in PrintDW() [all …]
|
/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/mkldnn/doc/primitives/ |
H A D | rnn.md | 48 And here is the equation for LSTM cells: 61 - [LSTM](#LSTM), a four-gate long short-term memory cell, 90 ### LSTM subsection 92 #### LSTM (or Vanilla LSTM) argument 131 #### LSTM with Peephole argument 164 the same as in vanilla LSTM. 171 #### LSTM with Projection (or LSTMP) argument 189 LSTM without peephole is shown): 205 the same as in vanilla LSTM. 343 (1) With LSTM and Peephole LSTM cells, the cell state datatype is f32, [all …]
|
/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/mkldnn/tests/benchdnn/inputs/rnn/ |
H A D | test_rnn_gpu | 10 # RNN, LSTM 24 # RNN, LSTM 30 # LSTM int8 42 # LSTM, GRU
|
/dports/math/onednn/oneDNN-2.5.1/tests/benchdnn/inputs/rnn/ |
H A D | test_rnn_gpu | 10 # RNN, LSTM 24 # RNN, LSTM 30 # LSTM int8 42 # LSTM, GRU
|
/dports/math/py-keras/Keras-2.4.3/tests/keras/utils/ |
H A D | vis_utils_test.py | 11 from keras.layers import LSTM 26 model.add(LSTM(16, return_sequences=True, input_shape=(2, 3), name='lstm')) 32 inner_lstm = Bidirectional(LSTM(16, name='inner_lstm'), name='bd')(inner_input) 36 lstm = LSTM(16, name='outer_lstm')(inner_encoder)
|
/dports/misc/frugally-deep/frugally-deep-0.15.13-p0/keras_export/ |
H A D | generate_test_models.py | 424 lstm = LSTM( 471 lstm3 = LSTM(units=10, 480 lstm4 = LSTM(units=15, 541 lstm_sequences = LSTM( 546 lstm_regular = LSTM( 562 LSTM( 569 LSTM( 585 LSTM( 797 lstm_regular = LSTM( 818 LSTM( [all …]
|
/dports/misc/mxnet/incubator-mxnet-1.9.0/julia/examples/char-lstm/ |
H A D | lstm.jl | 18 # An explicitly unrolled LSTM with fixed sequence length. 64 #--LSTM-part1 65 function LSTM(n_layer::Int, seq_len::Int, dim_hidden::Int, dim_embed::Int, n_class::Int; function 83 #--/LSTM-part1 85 #--LSTM-part2 94 # stack LSTM cells 114 #--/LSTM-part2 116 #--LSTM-part3 132 #--/LSTM-part3
|
H A D | train.jl | 26 #--LSTM 27 # define LSTM 28 lstm = LSTM(LSTM_N_LAYER, SEQ_LENGTH, DIM_HIDDEN, DIM_EMBED, 30 #--/LSTM
|
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/julia/examples/char-lstm/ |
H A D | lstm.jl | 18 # An explicitly unrolled LSTM with fixed sequence length. 64 #--LSTM-part1 65 function LSTM(n_layer::Int, seq_len::Int, dim_hidden::Int, dim_embed::Int, n_class::Int; function 83 #--/LSTM-part1 85 #--LSTM-part2 94 # stack LSTM cells 114 #--/LSTM-part2 116 #--LSTM-part3 132 #--/LSTM-part3
|
H A D | train.jl | 26 #--LSTM 27 # define LSTM 28 lstm = LSTM(LSTM_N_LAYER, SEQ_LENGTH, DIM_HIDDEN, DIM_EMBED, 30 #--/LSTM
|
/dports/math/py-keras/Keras-2.4.3/docs/ |
H A D | mkdocs.yml | 78 - Convolutional LSTM: examples/conv_lstm.md 81 - Bidirectional LSTM: examples/imdb_bidirectional_lstm.md 83 - Sentiment classification CNN-LSTM: examples/imdb_cnn_lstm.md 85 - Sentiment classification LSTM: examples/imdb_lstm.md 88 - Stateful LSTM: examples/lstm_stateful.md 89 - LSTM for text generation: examples/lstm_text_generation.md
|
/dports/math/py-keras/Keras-2.4.3/docs/templates/getting-started/ |
H A D | sequential-model-guide.md | 143 - Character-level text generation with LSTM 258 ### Sequence classification with LSTM: 264 from keras.layers import LSTM 270 model.add(LSTM(128)) 310 ### Stacked LSTM for sequence classification 323 from keras.layers import LSTM, Dense 332 model.add(LSTM(32, return_sequences=True, 356 ### Same stacked LSTM model, rendered "stateful" 366 from keras.layers import LSTM, Dense 378 model.add(LSTM(32, return_sequences=True, stateful=True, [all …]
|
/dports/misc/mnn/MNN-1.2.0/backupcode/cpubackend/ |
H A D | CPULSTM.hpp | 20 CPULSTM(Backend *backend, const LSTM *LSTM); 28 const LSTM *mLSTM;
|
/dports/math/mlpack/mlpack-3.4.2/src/mlpack/methods/ann/layer/ |
H A D | lstm_impl.hpp | 22 LSTM<InputDataType, OutputDataType>::LSTM() in LSTM() function in mlpack::ann::LSTM 28 LSTM<InputDataType, OutputDataType>::LSTM( in LSTM() function in mlpack::ann::LSTM 47 void LSTM<InputDataType, OutputDataType>::ResetCell(const size_t size) in ResetCell() 97 void LSTM<InputDataType, OutputDataType>::Reset() in Reset() 165 void LSTM<InputDataType, OutputDataType>::Forward( in Forward() 176 void LSTM<InputDataType, OutputDataType>::Forward(const InputType& input, in Forward() 290 void LSTM<InputDataType, OutputDataType>::Backward( in Backward() 368 void LSTM<InputDataType, OutputDataType>::Gradient( in Gradient() 469 void LSTM<InputDataType, OutputDataType>::serialize( in serialize()
|
/dports/math/py-keras/Keras-2.4.3/examples/ |
H A D | mnist_hierarchical_rnn.py | 41 from keras.layers import LSTM 76 encoded_rows = TimeDistributed(LSTM(row_hidden))(x) 79 encoded_columns = LSTM(col_hidden)(encoded_rows)
|
/dports/graphics/vapoursynth-waifu2x-ncnn-vulkan/vapoursynth-waifu2x-ncnn-vulkan-r4/deps/ncnn/src/layer/ |
H A D | lstm.cpp | 21 LSTM::LSTM() in LSTM() function in ncnn::LSTM 27 int LSTM::load_param(const ParamDict& pd) in load_param() 37 int LSTM::load_model(const ModelBin& mb) in load_model() 168 int LSTM::forward(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const in forward() 233 int LSTM::forward(const std::vector<Mat>& bottom_blobs, std::vector<Mat>& top_blobs, const Option& … in forward()
|
/dports/graphics/waifu2x-ncnn-vulkan/waifu2x-ncnn-vulkan-20210521/src/ncnn/src/layer/ |
H A D | lstm.cpp | 21 LSTM::LSTM() in LSTM() function in ncnn::LSTM 27 int LSTM::load_param(const ParamDict& pd) in load_param() 37 int LSTM::load_model(const ModelBin& mb) in load_model() 168 int LSTM::forward(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const in forward() 233 int LSTM::forward(const std::vector<Mat>& bottom_blobs, std::vector<Mat>& top_blobs, const Option& … in forward()
|
/dports/benchmarks/vkpeak/vkpeak-20210430/ncnn/src/layer/ |
H A D | lstm.cpp | 21 LSTM::LSTM() in LSTM() function in ncnn::LSTM 27 int LSTM::load_param(const ParamDict& pd) in load_param() 37 int LSTM::load_model(const ModelBin& mb) in load_model() 168 int LSTM::forward(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const in forward() 233 int LSTM::forward(const std::vector<Mat>& bottom_blobs, std::vector<Mat>& top_blobs, const Option& … in forward()
|
/dports/graphics/realsr-ncnn-vulkan/realsr-ncnn-vulkan-20210210/src/ncnn/src/layer/ |
H A D | lstm.cpp | 21 LSTM::LSTM() in LSTM() function in ncnn::LSTM 27 int LSTM::load_param(const ParamDict& pd) in load_param() 37 int LSTM::load_model(const ModelBin& mb) in load_model() 168 int LSTM::forward(const Mat& bottom_blob, Mat& top_blob, const Option& opt) const in forward() 233 int LSTM::forward(const std::vector<Mat>& bottom_blobs, std::vector<Mat>& top_blobs, const Option& … in forward()
|
/dports/misc/frugally-deep/frugally-deep-0.15.13-p0/test/stateful_test/tf_behaivor_scripts/ |
H A D | temp_bidi_state_in.py | 6 from tensorflow.keras.layers import Input, Dense, SimpleRNN, GRU, LSTM, Bidirectional 9 REC = LSTM 22 if REC == LSTM: 63 if REC == LSTM:
|