| /frameworks/ml/nn/runtime/test/generated/models/ |
| H A D | add_broadcast_quant8.model.cpp | 8 auto op2 = model->addOperand(&type1); local
14 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3});
17 {op1, op2},
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| H A D | add_quant8.model.cpp | 8 auto op2 = model->addOperand(&type1); local
14 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3});
17 {op1, op2},
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| H A D | add_relaxed.model.cpp | 7 auto op2 = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3});
16 {op1, op2},
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| H A D | concat_float_1.model.cpp | 8 auto op2 = model->addOperand(&type0); local
14 model->addOperation(ANEURALNETWORKS_CONCATENATION, {op1, op2, axis0}, {result});
17 {op1, op2},
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| H A D | concat_float_1_relaxed.model.cpp | 8 auto op2 = model->addOperand(&type0); local
14 model->addOperation(ANEURALNETWORKS_CONCATENATION, {op1, op2, axis0}, {result});
17 {op1, op2},
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| H A D | concat_quant8_1.model.cpp | 8 auto op2 = model->addOperand(&type0); local
14 model->addOperation(ANEURALNETWORKS_CONCATENATION, {op1, op2, axis1}, {result});
17 {op1, op2},
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| H A D | div.model.cpp | 7 auto op2 = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_DIV, {op1, op2, act}, {op3});
16 {op1, op2},
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| H A D | div_broadcast_float.model.cpp | 8 auto op2 = model->addOperand(&type1); local
14 model->addOperation(ANEURALNETWORKS_DIV, {op1, op2, act}, {op3});
17 {op1, op2},
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| H A D | div_broadcast_float_relaxed.model.cpp | 8 auto op2 = model->addOperand(&type1); local
14 model->addOperation(ANEURALNETWORKS_DIV, {op1, op2, act}, {op3});
17 {op1, op2},
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| H A D | div_relaxed.model.cpp | 7 auto op2 = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_DIV, {op1, op2, act}, {op3});
16 {op1, op2},
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| H A D | fully_connected_float_large_weights_as_inputs.model.cpp | 9 auto op2 = model->addOperand(&type0); local
16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
19 {op1, op2, b0},
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| H A D | fully_connected_float_large_weights_as_inputs_relaxed.model.cpp | 9 auto op2 = model->addOperand(&type0); local
16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
19 {op1, op2, b0},
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| H A D | fully_connected_float_weights_as_inputs.model.cpp | 9 auto op2 = model->addOperand(&type1); local
16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
19 {op1, op2, b0},
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| H A D | fully_connected_float_weights_as_inputs_relaxed.model.cpp | 9 auto op2 = model->addOperand(&type1); local
16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
19 {op1, op2, b0},
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| H A D | fully_connected_quant8_large_weights_as_inputs.model.cpp | 9 auto op2 = model->addOperand(&type0); local
16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
19 {op1, op2, b0},
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| H A D | fully_connected_quant8_weights_as_inputs.model.cpp | 10 auto op2 = model->addOperand(&type1); local
17 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
20 {op1, op2, b0},
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| H A D | mul.model.cpp | 7 auto op2 = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_MUL, {op1, op2, act}, {op3});
16 {op1, op2},
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| H A D | mul_broadcast_quant8.model.cpp | 9 auto op2 = model->addOperand(&type1); local
15 model->addOperation(ANEURALNETWORKS_MUL, {op1, op2, act}, {op3});
18 {op1, op2},
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| H A D | mul_quant8.model.cpp | 8 auto op2 = model->addOperand(&type0); local
14 model->addOperation(ANEURALNETWORKS_MUL, {op1, op2, act}, {op3});
17 {op1, op2},
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| H A D | mul_relaxed.model.cpp | 7 auto op2 = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_MUL, {op1, op2, act}, {op3});
16 {op1, op2},
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| H A D | mul_relu.model.cpp | 7 auto op2 = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_MUL, {op1, op2, act}, {op3});
16 {op1, op2},
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| H A D | mul_relu_relaxed.model.cpp | 7 auto op2 = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_MUL, {op1, op2, act}, {op3});
16 {op1, op2},
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| H A D | pad.model.cpp | 8 auto op2 = model->addOperand(&type1); local
12 model->setOperandValue(op2, op2_init, sizeof(int32_t) * 8);
13 model->addOperation(ANEURALNETWORKS_PAD, {op1, op2}, {op3});
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| H A D | pad_float_1.model.cpp | 8 auto op2 = model->addOperand(&type1); local
12 model->setOperandValue(op2, op2_init, sizeof(int32_t) * 8);
13 model->addOperation(ANEURALNETWORKS_PAD, {op1, op2}, {op3});
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| H A D | pad_float_1_relaxed.model.cpp | 8 auto op2 = model->addOperand(&type1); local
12 model->setOperandValue(op2, op2_init, sizeof(int32_t) * 8);
13 model->addOperation(ANEURALNETWORKS_PAD, {op1, op2}, {op3});
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