| /frameworks/ml/nn/runtime/test/generated/models/ |
| H A D | floor.model.cpp | 6 auto op2 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_FLOOR, {op1}, {op2});
12 {op2});
|
| H A D | floor_relaxed.model.cpp | 6 auto op2 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_FLOOR, {op1}, {op2});
12 {op2});
|
| H A D | l2_normalization.model.cpp | 6 auto op2 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2});
12 {op2});
|
| H A D | l2_normalization_2.model.cpp | 6 auto op2 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2});
12 {op2});
|
| H A D | l2_normalization_2_relaxed.model.cpp | 6 auto op2 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2});
12 {op2});
|
| H A D | l2_normalization_large.model.cpp | 6 auto op2 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2});
12 {op2});
|
| H A D | l2_normalization_large_relaxed.model.cpp | 6 auto op2 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2});
12 {op2});
|
| H A D | l2_normalization_relaxed.model.cpp | 6 auto op2 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2});
12 {op2});
|
| H A D | relu1_float_1.model.cpp | 6 auto op2 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU1, {op1}, {op2});
12 {op2});
|
| H A D | relu1_float_1_relaxed.model.cpp | 6 auto op2 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU1, {op1}, {op2});
12 {op2});
|
| H A D | relu1_quant8_1.model.cpp | 6 auto op2 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU1, {op1}, {op2});
12 {op2});
|
| H A D | relu6_float_1.model.cpp | 6 auto op2 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU6, {op1}, {op2});
12 {op2});
|
| H A D | relu6_float_1_relaxed.model.cpp | 6 auto op2 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU6, {op1}, {op2});
12 {op2});
|
| H A D | relu6_quant8_1.model.cpp | 6 auto op2 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU6, {op1}, {op2});
12 {op2});
|
| H A D | relu_float_1.model.cpp | 6 auto op2 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU, {op1}, {op2});
12 {op2});
|
| H A D | relu_float_1_relaxed.model.cpp | 6 auto op2 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU, {op1}, {op2});
12 {op2});
|
| H A D | relu_quant8_1.model.cpp | 6 auto op2 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU, {op1}, {op2});
12 {op2});
|
| H A D | tanh.model.cpp | 6 auto op2 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_TANH, {op1}, {op2});
12 {op2});
|
| H A D | tanh_relaxed.model.cpp | 6 auto op2 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_TANH, {op1}, {op2});
12 {op2});
|
| H A D | dequantize.model.cpp | 7 auto op2 = model->addOperand(&type1); local
9 model->addOperation(ANEURALNETWORKS_DEQUANTIZE, {op1}, {op2});
13 {op2});
|
| H A D | dequantize_relaxed.model.cpp | 7 auto op2 = model->addOperand(&type1); local
9 model->addOperation(ANEURALNETWORKS_DEQUANTIZE, {op1}, {op2});
13 {op2});
|
| H A D | reshape_quant8_weights_as_inputs.model.cpp | 8 auto op2 = model->addOperand(&type1); local
11 model->addOperation(ANEURALNETWORKS_RESHAPE, {op1, op2}, {op3});
14 {op1, op2},
|
| H A D | reshape_weights_as_inputs.model.cpp | 8 auto op2 = model->addOperand(&type1); local
11 model->addOperation(ANEURALNETWORKS_RESHAPE, {op1, op2}, {op3});
14 {op1, op2},
|
| H A D | reshape_weights_as_inputs_relaxed.model.cpp | 8 auto op2 = model->addOperand(&type1); local
11 model->addOperation(ANEURALNETWORKS_RESHAPE, {op1, op2}, {op3});
14 {op1, op2},
|
| H A D | add.model.cpp | 7 auto op2 = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3});
16 {op1, op2},
|