| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| H A D | lstm2_state.mod.py | 46 output_gate_bias = Input("output_gate_bias", "TENSOR_FLOAT32", "{%d}"%(n_cell)) variable
83 output_gate_bias,
104 output_gate_bias: [0.,0.,0.,0.],
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| H A D | lstm.mod.py | 46 output_gate_bias = Input("output_gate_bias", "TENSOR_FLOAT32", "{%d}"%(n_cell)) variable
83 output_gate_bias,
105 output_gate_bias: [0.,0.,0.,0.],
|
| H A D | lstm2.mod.py | 46 output_gate_bias = Input("output_gate_bias", "TENSOR_FLOAT32", "{%d}"%(n_cell)) variable
83 output_gate_bias,
104 output_gate_bias: [0.,0.,0.,0.],
|
| H A D | lstm2_state2.mod.py | 46 output_gate_bias = Input("output_gate_bias", "TENSOR_FLOAT32", "{%d}"%(n_cell)) variable
83 output_gate_bias,
104 output_gate_bias: [0.,0.,0.,0.],
|
| H A D | lstm3.mod.py | 46 output_gate_bias = Input("output_gate_bias", "TENSOR_FLOAT32", "{%d}"%(n_cell)) variable
84 output_gate_bias,
210 output_gate_bias: [
|
| H A D | lstm3_state.mod.py | 46 output_gate_bias = Input("output_gate_bias", "TENSOR_FLOAT32", "{%d}"%(n_cell)) variable
84 output_gate_bias,
210 output_gate_bias: [
|
| H A D | lstm3_state2.mod.py | 46 output_gate_bias = Input("output_gate_bias", "TENSOR_FLOAT32", "{%d}"%(n_cell)) variable
84 output_gate_bias,
210 output_gate_bias: [
|
| H A D | lstm3_state3.mod.py | 46 output_gate_bias = Input("output_gate_bias", "TENSOR_FLOAT32", "{%d}"%(n_cell)) variable
84 output_gate_bias,
210 output_gate_bias: [
|
| H A D | lstm_state.mod.py | 46 output_gate_bias = Input("output_gate_bias", "TENSOR_FLOAT32", "{%d}"%(n_cell)) variable
83 output_gate_bias,
105 output_gate_bias: [0.,0.,0.,0.],
|
| H A D | lstm_state2.mod.py | 46 output_gate_bias = Input("output_gate_bias", "TENSOR_FLOAT32", "{%d}"%(n_cell)) variable
83 output_gate_bias,
105 output_gate_bias: [0.,0.,0.,0.],
|
| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| H A D | lstm2_relaxed.mod.py | 46 output_gate_bias = Input("output_gate_bias", "TENSOR_FLOAT32", "{%d}"%(n_cell)) variable
83 output_gate_bias,
105 output_gate_bias: [0.,0.,0.,0.],
|
| H A D | lstm2_state2_relaxed.mod.py | 46 output_gate_bias = Input("output_gate_bias", "TENSOR_FLOAT32", "{%d}"%(n_cell)) variable
83 output_gate_bias,
105 output_gate_bias: [0.,0.,0.,0.],
|
| H A D | lstm2_state_relaxed.mod.py | 46 output_gate_bias = Input("output_gate_bias", "TENSOR_FLOAT32", "{%d}"%(n_cell)) variable
83 output_gate_bias,
105 output_gate_bias: [0.,0.,0.,0.],
|
| H A D | lstm3_relaxed.mod.py | 46 output_gate_bias = Input("output_gate_bias", "TENSOR_FLOAT32", "{%d}"%(n_cell)) variable
84 output_gate_bias,
211 output_gate_bias: [
|
| H A D | lstm3_state2_relaxed.mod.py | 46 output_gate_bias = Input("output_gate_bias", "TENSOR_FLOAT32", "{%d}"%(n_cell)) variable
84 output_gate_bias,
211 output_gate_bias: [
|
| H A D | lstm3_state3_relaxed.mod.py | 46 output_gate_bias = Input("output_gate_bias", "TENSOR_FLOAT32", "{%d}"%(n_cell)) variable
84 output_gate_bias,
211 output_gate_bias: [
|
| H A D | lstm3_state_relaxed.mod.py | 46 output_gate_bias = Input("output_gate_bias", "TENSOR_FLOAT32", "{%d}"%(n_cell)) variable
84 output_gate_bias,
211 output_gate_bias: [
|
| H A D | lstm_relaxed.mod.py | 46 output_gate_bias = Input("output_gate_bias", "TENSOR_FLOAT32", "{%d}"%(n_cell)) variable
83 output_gate_bias,
106 output_gate_bias: [0.,0.,0.,0.],
|
| H A D | lstm_state2_relaxed.mod.py | 46 output_gate_bias = Input("output_gate_bias", "TENSOR_FLOAT32", "{%d}"%(n_cell)) variable
83 output_gate_bias,
106 output_gate_bias: [0.,0.,0.,0.],
|
| H A D | lstm_state_relaxed.mod.py | 46 output_gate_bias = Input("output_gate_bias", "TENSOR_FLOAT32", "{%d}"%(n_cell)) variable
83 output_gate_bias,
106 output_gate_bias: [0.,0.,0.,0.],
|
| /frameworks/ml/nn/tools/test_generator/tests/P_lstm/ |
| H A D | lstm.mod.py | 46 output_gate_bias = Input("output_gate_bias", "TENSOR_FLOAT32", "{%d}"%(n_cell)) variable
83 output_gate_bias,
105 output_gate_bias: [0.,0.,0.,0.],
|
| /frameworks/ml/nn/runtime/test/generated/models/ |
| H A D | lstm.model.cpp | 29 auto output_gate_bias = model->addOperand(&type4); 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},
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| H A D | lstm2.model.cpp | 29 auto output_gate_bias = model->addOperand(&type4); 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},
|
| H A D | lstm2_relaxed.model.cpp | 29 auto output_gate_bias = model->addOperand(&type4); 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},
|
| H A D | lstm2_state.model.cpp | 29 auto output_gate_bias = model->addOperand(&type4); 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},
|