/frameworks/ml/nn/runtime/test/generated/models/ |
H A D | conv_float_weights_as_inputs_relaxed.model.cpp | 2 void CreateModel(Model *model) { argument 8 auto op1 = model->addOperand(&type0); 9 auto op2 = model->addOperand(&type1); 10 auto op3 = model->addOperand(&type2); 11 auto pad0 = model->addOperand(&type3); 12 auto act = model->addOperand(&type3); 13 auto stride = model->addOperand(&type3); 14 auto op4 = model->addOperand(&type1); 17 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); 19 model [all...] |
H A D | conv_quant8_channels_weights_as_inputs.model.cpp | 2 void CreateModel(Model *model) { argument 9 auto op1 = model->addOperand(&type0); 10 auto op2 = model->addOperand(&type1); 11 auto op3 = model->addOperand(&type2); 12 auto pad0 = model->addOperand(&type3); 13 auto act = model->addOperand(&type3); 14 auto stride = model->addOperand(&type3); 15 auto op4 = model->addOperand(&type4); 18 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); 20 model [all...] |
H A D | conv_quant8_large_weights_as_inputs.model.cpp | 2 void CreateModel(Model *model) { argument 9 auto op1 = model->addOperand(&type0); 10 auto op2 = model->addOperand(&type1); 11 auto op3 = model->addOperand(&type2); 12 auto pad0 = model->addOperand(&type3); 13 auto act = model->addOperand(&type3); 14 auto stride = model->addOperand(&type3); 15 auto op4 = model->addOperand(&type4); 18 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); 20 model [all...] |
H A D | conv_quant8_overflow_weights_as_inputs.model.cpp | 2 void CreateModel(Model *model) { argument 9 auto op1 = model->addOperand(&type0); 10 auto op2 = model->addOperand(&type1); 11 auto op3 = model->addOperand(&type2); 12 auto pad0 = model->addOperand(&type3); 13 auto act = model->addOperand(&type3); 14 auto stride = model->addOperand(&type3); 15 auto op4 = model->addOperand(&type4); 18 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); 20 model [all...] |
H A D | conv_quant8_weights_as_inputs.model.cpp | 2 void CreateModel(Model *model) { argument 9 auto op1 = model->addOperand(&type0); 10 auto op2 = model->addOperand(&type1); 11 auto op3 = model->addOperand(&type2); 12 auto pad0 = model->addOperand(&type3); 13 auto act = model->addOperand(&type3); 14 auto stride = model->addOperand(&type3); 15 auto op4 = model->addOperand(&type4); 18 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); 20 model [all...] |
H A D | fully_connected_float.model.cpp | 2 void CreateModel(Model *model) { argument 8 auto op1 = model->addOperand(&type0); 9 auto op2 = model->addOperand(&type1); 10 auto b0 = model->addOperand(&type2); 11 auto op3 = model->addOperand(&type0); 12 auto act = model->addOperand(&type3); 15 model->setOperandValue(op2, op2_init, sizeof(float) * 1); 17 model->setOperandValue(b0, b0_init, sizeof(float) * 1); 19 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 20 model [all...] |
H A D | fully_connected_float_2.model.cpp | 2 void CreateModel(Model *model) { argument 9 auto op1 = model->addOperand(&type0); 10 auto op2 = model->addOperand(&type1); 11 auto b0 = model->addOperand(&type2); 12 auto op3 = model->addOperand(&type3); 13 auto act_relu = model->addOperand(&type4); 16 model->setOperandValue(op2, op2_init, sizeof(float) * 128); 18 model->setOperandValue(b0, b0_init, sizeof(float) * 16); 20 model->setOperandValue(act_relu, act_relu_init, sizeof(int32_t) * 1); 21 model [all...] |
H A D | fully_connected_float_2_relaxed.model.cpp | 2 void CreateModel(Model *model) { argument 9 auto op1 = model->addOperand(&type0); 10 auto op2 = model->addOperand(&type1); 11 auto b0 = model->addOperand(&type2); 12 auto op3 = model->addOperand(&type3); 13 auto act_relu = model->addOperand(&type4); 16 model->setOperandValue(op2, op2_init, sizeof(float) * 128); 18 model->setOperandValue(b0, b0_init, sizeof(float) * 16); 20 model->setOperandValue(act_relu, act_relu_init, sizeof(int32_t) * 1); 21 model [all...] |
H A D | fully_connected_float_3.model.cpp | 2 void CreateModel(Model *model) { argument 9 auto op1 = model->addOperand(&type0); 10 auto op2 = model->addOperand(&type1); 11 auto b0 = model->addOperand(&type2); 12 auto op3 = model->addOperand(&type3); 13 auto act = model->addOperand(&type4); 16 model->setOperandValue(op2, op2_init, sizeof(float) * 2); 18 model->setOperandValue(b0, b0_init, sizeof(float) * 1); 20 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 21 model [all...] |
H A D | fully_connected_float_4d_simple.model.cpp | 2 void CreateModel(Model *model) { argument 9 auto op1 = model->addOperand(&type0); 10 auto op2 = model->addOperand(&type1); 11 auto b0 = model->addOperand(&type2); 12 auto op3 = model->addOperand(&type3); 13 auto act = model->addOperand(&type4); 16 model->setOperandValue(op2, op2_init, sizeof(float) * 30); 18 model->setOperandValue(b0, b0_init, sizeof(float) * 3); 20 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 21 model [all...] |
H A D | fully_connected_float_4d_simple_relaxed.model.cpp | 2 void CreateModel(Model *model) { argument 9 auto op1 = model->addOperand(&type0); 10 auto op2 = model->addOperand(&type1); 11 auto b0 = model->addOperand(&type2); 12 auto op3 = model->addOperand(&type3); 13 auto act = model->addOperand(&type4); 16 model->setOperandValue(op2, op2_init, sizeof(float) * 30); 18 model->setOperandValue(b0, b0_init, sizeof(float) * 3); 20 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 21 model [all...] |
H A D | fully_connected_float_large.model.cpp | 2 void CreateModel(Model *model) { argument 8 auto op1 = model->addOperand(&type0); 9 auto op2 = model->addOperand(&type0); 10 auto b0 = model->addOperand(&type1); 11 auto op3 = model->addOperand(&type2); 12 auto act = model->addOperand(&type3); 15 model->setOperandValue(op2, op2_init, sizeof(float) * 5); 17 model->setOperandValue(b0, b0_init, sizeof(float) * 1); 19 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 20 model [all...] |
H A D | fully_connected_float_large_relaxed.model.cpp | 2 void CreateModel(Model *model) { argument 8 auto op1 = model->addOperand(&type0); 9 auto op2 = model->addOperand(&type0); 10 auto b0 = model->addOperand(&type1); 11 auto op3 = model->addOperand(&type2); 12 auto act = model->addOperand(&type3); 15 model->setOperandValue(op2, op2_init, sizeof(float) * 5); 17 model->setOperandValue(b0, b0_init, sizeof(float) * 1); 19 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 20 model [all...] |
H A D | fully_connected_float_large_weights_as_inputs.model.cpp | 2 void CreateModel(Model *model) { argument 8 auto op1 = model->addOperand(&type0); 9 auto op2 = model->addOperand(&type0); 10 auto b0 = model->addOperand(&type1); 11 auto op3 = model->addOperand(&type2); 12 auto act = model->addOperand(&type3); 15 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3}); 18 model->identifyInputsAndOutputs( 21 assert(model [all...] |
H A D | fully_connected_float_large_weights_as_inputs_relaxed.model.cpp | 2 void CreateModel(Model *model) { argument 8 auto op1 = model->addOperand(&type0); 9 auto op2 = model->addOperand(&type0); 10 auto b0 = model->addOperand(&type1); 11 auto op3 = model->addOperand(&type2); 12 auto act = model->addOperand(&type3); 15 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3}); 18 model->identifyInputsAndOutputs( 22 model [all...] |
H A D | fully_connected_float_relaxed.model.cpp | 2 void CreateModel(Model *model) { argument 8 auto op1 = model->addOperand(&type0); 9 auto op2 = model->addOperand(&type1); 10 auto b0 = model->addOperand(&type2); 11 auto op3 = model->addOperand(&type0); 12 auto act = model->addOperand(&type3); 15 model->setOperandValue(op2, op2_init, sizeof(float) * 1); 17 model->setOperandValue(b0, b0_init, sizeof(float) * 1); 19 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 20 model [all...] |
H A D | fully_connected_float_weights_as_inputs.model.cpp | 2 void CreateModel(Model *model) { argument 8 auto op1 = model->addOperand(&type0); 9 auto op2 = model->addOperand(&type1); 10 auto b0 = model->addOperand(&type2); 11 auto op3 = model->addOperand(&type0); 12 auto act = model->addOperand(&type3); 15 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3}); 18 model->identifyInputsAndOutputs( 21 assert(model [all...] |
H A D | fully_connected_float_weights_as_inputs_relaxed.model.cpp | 2 void CreateModel(Model *model) { argument 8 auto op1 = model->addOperand(&type0); 9 auto op2 = model->addOperand(&type1); 10 auto b0 = model->addOperand(&type2); 11 auto op3 = model->addOperand(&type0); 12 auto act = model->addOperand(&type3); 15 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3}); 18 model->identifyInputsAndOutputs( 22 model [all...] |
H A D | fully_connected_quant8.model.cpp | 2 void CreateModel(Model *model) { argument 9 auto op1 = model->addOperand(&type0); 10 auto op2 = model->addOperand(&type1); 11 auto b0 = model->addOperand(&type2); 12 auto op3 = model->addOperand(&type3); 13 auto act = model->addOperand(&type4); 16 model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 1); 18 model->setOperandValue(b0, b0_init, sizeof(int32_t) * 1); 20 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 21 model [all...] |
H A D | fully_connected_quant8_2.model.cpp | 2 void CreateModel(Model *model) { argument 9 auto op1 = model->addOperand(&type0); 10 auto op2 = model->addOperand(&type1); 11 auto b0 = model->addOperand(&type2); 12 auto op3 = model->addOperand(&type3); 13 auto act_relu = model->addOperand(&type4); 16 model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 30); 18 model->setOperandValue(b0, b0_init, sizeof(int32_t) * 3); 20 model->setOperandValue(act_relu, act_relu_init, sizeof(int32_t) * 1); 21 model [all...] |
H A D | fully_connected_quant8_large.model.cpp | 2 void CreateModel(Model *model) { argument 8 auto op1 = model->addOperand(&type0); 9 auto op2 = model->addOperand(&type0); 10 auto b0 = model->addOperand(&type1); 11 auto op3 = model->addOperand(&type2); 12 auto act = model->addOperand(&type3); 15 model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 5); 17 model->setOperandValue(b0, b0_init, sizeof(int32_t) * 1); 19 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 20 model [all...] |
H A D | fully_connected_quant8_large_weights_as_inputs.model.cpp | 2 void CreateModel(Model *model) { argument 8 auto op1 = model->addOperand(&type0); 9 auto op2 = model->addOperand(&type0); 10 auto b0 = model->addOperand(&type1); 11 auto op3 = model->addOperand(&type2); 12 auto act = model->addOperand(&type3); 15 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3}); 18 model->identifyInputsAndOutputs( 21 assert(model [all...] |
H A D | fully_connected_quant8_weights_as_inputs.model.cpp | 2 void CreateModel(Model *model) { argument 9 auto op1 = model->addOperand(&type0); 10 auto op2 = model->addOperand(&type1); 11 auto b0 = model->addOperand(&type2); 12 auto op3 = model->addOperand(&type3); 13 auto act = model->addOperand(&type4); 16 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 17 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3}); 19 model->identifyInputsAndOutputs( 22 assert(model [all...] |
H A D | l2_pool_float.model.cpp | 2 void CreateModel(Model *model) { argument 6 auto op1 = model->addOperand(&type0); 7 auto cons1 = model->addOperand(&type1); 8 auto pad0 = model->addOperand(&type1); 9 auto act = model->addOperand(&type1); 10 auto op3 = model->addOperand(&type0); 13 model->setOperandValue(cons1, cons1_init, sizeof(int32_t) * 1); 15 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); 17 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); 18 model [all...] |
H A D | l2_pool_float_2.model.cpp | 2 void CreateModel(Model *model) { argument 7 auto op1 = model->addOperand(&type0); 8 auto cons2 = model->addOperand(&type1); 9 auto pad_same = model->addOperand(&type1); 10 auto act_none = model->addOperand(&type1); 11 auto op3 = model->addOperand(&type2); 14 model->setOperandValue(cons2, cons2_init, sizeof(int32_t) * 1); 16 model->setOperandValue(pad_same, pad_same_init, sizeof(int32_t) * 1); 18 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); 19 model [all...] |