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Searched refs:hidden_state_in (Results 1 – 10 of 10) sorted by relevance

/frameworks/ml/nn/runtime/test/generated/models/
Drnn_state.model.cpp15 auto hidden_state_in = model->addOperand(&type4); in CreateModel() local
22 …ation(ANEURALNETWORKS_RNN, {input, weights, recurrent_weights, bias, hidden_state_in, activation_p… in CreateModel()
25 {input, weights, recurrent_weights, bias, hidden_state_in}, in CreateModel()
48 auto hidden_state_in = model->addOperand(&type4); in CreateModel_dynamic_output_shape() local
55 …ation(ANEURALNETWORKS_RNN, {input, weights, recurrent_weights, bias, hidden_state_in, activation_p… in CreateModel_dynamic_output_shape()
58 {input, weights, recurrent_weights, bias, hidden_state_in}, in CreateModel_dynamic_output_shape()
Drnn.model.cpp15 auto hidden_state_in = model->addOperand(&type4); in CreateModel() local
22 …ation(ANEURALNETWORKS_RNN, {input, weights, recurrent_weights, bias, hidden_state_in, activation_p… in CreateModel()
25 {input, weights, recurrent_weights, bias, hidden_state_in}, in CreateModel()
48 auto hidden_state_in = model->addOperand(&type4); in CreateModel_dynamic_output_shape() local
55 …ation(ANEURALNETWORKS_RNN, {input, weights, recurrent_weights, bias, hidden_state_in, activation_p… in CreateModel_dynamic_output_shape()
58 {input, weights, recurrent_weights, bias, hidden_state_in}, in CreateModel_dynamic_output_shape()
Drnn_state_relaxed.model.cpp15 auto hidden_state_in = model->addOperand(&type4); in CreateModel() local
22 …ation(ANEURALNETWORKS_RNN, {input, weights, recurrent_weights, bias, hidden_state_in, activation_p… in CreateModel()
25 {input, weights, recurrent_weights, bias, hidden_state_in}, in CreateModel()
50 auto hidden_state_in = model->addOperand(&type4); in CreateModel_dynamic_output_shape() local
57 …ation(ANEURALNETWORKS_RNN, {input, weights, recurrent_weights, bias, hidden_state_in, activation_p… in CreateModel_dynamic_output_shape()
60 {input, weights, recurrent_weights, bias, hidden_state_in}, in CreateModel_dynamic_output_shape()
Drnn_float16.model.cpp15 auto hidden_state_in = model->addOperand(&type4); in CreateModel() local
22 …ation(ANEURALNETWORKS_RNN, {input, weights, recurrent_weights, bias, hidden_state_in, activation_p… in CreateModel()
25 {input, weights, recurrent_weights, bias, hidden_state_in}, in CreateModel()
48 auto hidden_state_in = model->addOperand(&type4); in CreateModel_dynamic_output_shape() local
55 …ation(ANEURALNETWORKS_RNN, {input, weights, recurrent_weights, bias, hidden_state_in, activation_p… in CreateModel_dynamic_output_shape()
58 {input, weights, recurrent_weights, bias, hidden_state_in}, in CreateModel_dynamic_output_shape()
Drnn_relaxed.model.cpp15 auto hidden_state_in = model->addOperand(&type4); in CreateModel() local
22 …ation(ANEURALNETWORKS_RNN, {input, weights, recurrent_weights, bias, hidden_state_in, activation_p… in CreateModel()
25 {input, weights, recurrent_weights, bias, hidden_state_in}, in CreateModel()
50 auto hidden_state_in = model->addOperand(&type4); in CreateModel_dynamic_output_shape() local
57 …ation(ANEURALNETWORKS_RNN, {input, weights, recurrent_weights, bias, hidden_state_in, activation_p… in CreateModel_dynamic_output_shape()
60 {input, weights, recurrent_weights, bias, hidden_state_in}, in CreateModel_dynamic_output_shape()
/frameworks/ml/nn/runtime/test/specs/V1_0/
Drnn_state.mod.py27 hidden_state_in = Input("hidden_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units)) variable
34 model = model.Operation("RNN", input, weights, recurrent_weights, bias, hidden_state_in,
94 input0[hidden_state_in] = [
Drnn.mod.py27 hidden_state_in = Input("hidden_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units)) variable
34 model = model.Operation("RNN", input, weights, recurrent_weights, bias, hidden_state_in,
193 input0[hidden_state_in] = [0 for x in range(batches * units)]
/frameworks/ml/nn/runtime/test/specs/V1_1/
Drnn_state_relaxed.mod.py27 hidden_state_in = Input("hidden_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units)) variable
34 model = model.Operation("RNN", input, weights, recurrent_weights, bias, hidden_state_in,
95 input0[hidden_state_in] = [
Drnn_relaxed.mod.py27 hidden_state_in = Input("hidden_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units)) variable
34 model = model.Operation("RNN", input, weights, recurrent_weights, bias, hidden_state_in,
194 input0[hidden_state_in] = [0 for x in range(batches * units)]
/frameworks/ml/nn/runtime/test/specs/V1_2/
Drnn_float16.mod.py27 hidden_state_in = Input("hidden_state_in", "TENSOR_FLOAT16", "{%d, %d}" % (batches, units)) variable
34 model = model.Operation("RNN", input, weights, recurrent_weights, bias, hidden_state_in,
193 input0[hidden_state_in] = [0 for x in range(batches * units)]