| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| lstm2_state.mod.py | 35 recurrent_to_forget_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output)) variable
72 recurrent_to_forget_weights,
113 recurrent_to_forget_weights: [
|
| lstm.mod.py | 35 recurrent_to_forget_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output)) variable
72 recurrent_to_forget_weights,
117 recurrent_to_forget_weights: [
|
| lstm2.mod.py | 35 recurrent_to_forget_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output)) variable
72 recurrent_to_forget_weights,
113 recurrent_to_forget_weights: [
|
| lstm2_state2.mod.py | 35 recurrent_to_forget_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output)) variable
72 recurrent_to_forget_weights,
113 recurrent_to_forget_weights: [
|
| lstm3.mod.py | 35 recurrent_to_forget_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output)) variable
73 recurrent_to_forget_weights,
298 recurrent_to_forget_weights: [
[all...] |
| lstm3_state.mod.py | 35 recurrent_to_forget_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output)) variable
73 recurrent_to_forget_weights,
298 recurrent_to_forget_weights: [
[all...] |
| lstm3_state2.mod.py | 35 recurrent_to_forget_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output)) variable
73 recurrent_to_forget_weights,
298 recurrent_to_forget_weights: [
[all...] |
| lstm3_state3.mod.py | 35 recurrent_to_forget_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output)) variable
73 recurrent_to_forget_weights,
298 recurrent_to_forget_weights: [
[all...] |
| lstm_state.mod.py | 35 recurrent_to_forget_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output)) variable
72 recurrent_to_forget_weights,
117 recurrent_to_forget_weights: [
|
| lstm_state2.mod.py | 35 recurrent_to_forget_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output)) variable
72 recurrent_to_forget_weights,
117 recurrent_to_forget_weights: [
|
| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| lstm2_relaxed.mod.py | 35 recurrent_to_forget_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output)) variable
72 recurrent_to_forget_weights,
114 recurrent_to_forget_weights: [
|
| lstm2_state2_relaxed.mod.py | 35 recurrent_to_forget_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output)) variable
72 recurrent_to_forget_weights,
114 recurrent_to_forget_weights: [
|
| lstm2_state_relaxed.mod.py | 35 recurrent_to_forget_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output)) variable
72 recurrent_to_forget_weights,
114 recurrent_to_forget_weights: [
|
| lstm3_relaxed.mod.py | 35 recurrent_to_forget_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output)) variable
73 recurrent_to_forget_weights,
299 recurrent_to_forget_weights: [
[all...] |
| lstm3_state2_relaxed.mod.py | 35 recurrent_to_forget_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output)) variable
73 recurrent_to_forget_weights,
299 recurrent_to_forget_weights: [
[all...] |
| lstm3_state3_relaxed.mod.py | 35 recurrent_to_forget_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output)) variable
73 recurrent_to_forget_weights,
299 recurrent_to_forget_weights: [
[all...] |
| lstm3_state_relaxed.mod.py | 35 recurrent_to_forget_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output)) variable
73 recurrent_to_forget_weights,
299 recurrent_to_forget_weights: [
[all...] |
| lstm_relaxed.mod.py | 35 recurrent_to_forget_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output)) variable
72 recurrent_to_forget_weights,
118 recurrent_to_forget_weights: [
|
| lstm_state2_relaxed.mod.py | 35 recurrent_to_forget_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output)) variable
72 recurrent_to_forget_weights,
118 recurrent_to_forget_weights: [
|
| lstm_state_relaxed.mod.py | 35 recurrent_to_forget_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output)) variable
72 recurrent_to_forget_weights,
118 recurrent_to_forget_weights: [
|
| /frameworks/ml/nn/tools/test_generator/tests/P_lstm/ |
| lstm.mod.py | 35 recurrent_to_forget_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output)) variable
72 recurrent_to_forget_weights,
117 recurrent_to_forget_weights: [
|
| /frameworks/ml/nn/runtime/test/generated/models/ |
| lstm.model.cpp | 20 auto recurrent_to_forget_weights = model->addOperand(&type2); local
48 model->addOperation(ANEURALNETWORKS_LSTM, {input, input_to_input_weights, input_to_forget_weights, input_to_cell_weights, input_to_output_weights, recurrent_to_intput_weights, recurrent_to_forget_weights, recurrent_to_cell_weights, recurrent_to_output_weights, cell_to_input_weights, cell_to_forget_weights, cell_to_output_weights, input_gate_bias, forget_gate_bias, cell_gate_bias, output_gate_bias, projection_weights, projection_bias, output_state_in, cell_state_in, activation_param, cell_clip_param, proj_clip_param}, {scratch_buffer, output_state_out, cell_state_out, output});
51 {input, input_to_input_weights, input_to_forget_weights, input_to_cell_weights, input_to_output_weights, recurrent_to_intput_weights, recurrent_to_forget_weights, recurrent_to_cell_weights, recurrent_to_output_weights, cell_to_input_weights, cell_to_forget_weights, cell_to_output_weights, input_gate_bias, forget_gate_bias, cell_gate_bias, output_gate_bias, projection_weights, projection_bias, output_state_in, cell_state_in},
|
| lstm2.model.cpp | 20 auto recurrent_to_forget_weights = model->addOperand(&type2); local
48 model->addOperation(ANEURALNETWORKS_LSTM, {input, input_to_input_weights, input_to_forget_weights, input_to_cell_weights, input_to_output_weights, recurrent_to_intput_weights, recurrent_to_forget_weights, recurrent_to_cell_weights, recurrent_to_output_weights, cell_to_input_weights, cell_to_forget_weights, cell_to_output_weights, input_gate_bias, forget_gate_bias, cell_gate_bias, output_gate_bias, projection_weights, projection_bias, output_state_in, cell_state_in, activation_param, cell_clip_param, proj_clip_param}, {scratch_buffer, output_state_out, cell_state_out, output});
51 {input, input_to_input_weights, input_to_forget_weights, input_to_cell_weights, input_to_output_weights, recurrent_to_intput_weights, recurrent_to_forget_weights, recurrent_to_cell_weights, recurrent_to_output_weights, cell_to_input_weights, cell_to_forget_weights, cell_to_output_weights, input_gate_bias, forget_gate_bias, cell_gate_bias, output_gate_bias, projection_weights, projection_bias, output_state_in, cell_state_in},
|
| lstm2_relaxed.model.cpp | 20 auto recurrent_to_forget_weights = model->addOperand(&type2); local
48 model->addOperation(ANEURALNETWORKS_LSTM, {input, input_to_input_weights, input_to_forget_weights, input_to_cell_weights, input_to_output_weights, recurrent_to_intput_weights, recurrent_to_forget_weights, recurrent_to_cell_weights, recurrent_to_output_weights, cell_to_input_weights, cell_to_forget_weights, cell_to_output_weights, input_gate_bias, forget_gate_bias, cell_gate_bias, output_gate_bias, projection_weights, projection_bias, output_state_in, cell_state_in, activation_param, cell_clip_param, proj_clip_param}, {scratch_buffer, output_state_out, cell_state_out, output});
51 {input, input_to_input_weights, input_to_forget_weights, input_to_cell_weights, input_to_output_weights, recurrent_to_intput_weights, recurrent_to_forget_weights, recurrent_to_cell_weights, recurrent_to_output_weights, cell_to_input_weights, cell_to_forget_weights, cell_to_output_weights, input_gate_bias, forget_gate_bias, cell_gate_bias, output_gate_bias, projection_weights, projection_bias, output_state_in, cell_state_in},
|
| lstm2_state.model.cpp | 20 auto recurrent_to_forget_weights = model->addOperand(&type2); local
48 model->addOperation(ANEURALNETWORKS_LSTM, {input, input_to_input_weights, input_to_forget_weights, input_to_cell_weights, input_to_output_weights, recurrent_to_intput_weights, recurrent_to_forget_weights, recurrent_to_cell_weights, recurrent_to_output_weights, cell_to_input_weights, cell_to_forget_weights, cell_to_output_weights, input_gate_bias, forget_gate_bias, cell_gate_bias, output_gate_bias, projection_weights, projection_bias, output_state_in, cell_state_in, activation_param, cell_clip_param, proj_clip_param}, {scratch_buffer, output_state_out, cell_state_out, output});
51 {input, input_to_input_weights, input_to_forget_weights, input_to_cell_weights, input_to_output_weights, recurrent_to_intput_weights, recurrent_to_forget_weights, recurrent_to_cell_weights, recurrent_to_output_weights, cell_to_input_weights, cell_to_forget_weights, cell_to_output_weights, input_gate_bias, forget_gate_bias, cell_gate_bias, output_gate_bias, projection_weights, projection_bias, output_state_in, cell_state_in},
|
