| /frameworks/ml/nn/runtime/test/generated/models/ |
| dequantize.model.cpp | 6 auto op1 = model->addOperand(&type0); local
9 model->addOperation(ANEURALNETWORKS_DEQUANTIZE, {op1}, {op2});
12 {op1},
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| floor.model.cpp | 5 auto op1 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_FLOOR, {op1}, {op2});
11 {op1},
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| l2_normalization.model.cpp | 5 auto op1 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2});
11 {op1},
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| l2_normalization_large.model.cpp | 5 auto op1 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2});
11 {op1},
|
| logistic_float_1.model.cpp | 5 auto op1 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_LOGISTIC, {op1}, {op3});
11 {op1},
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| logistic_quant8_1.model.cpp | 6 auto op1 = model->addOperand(&type0); local
9 model->addOperation(ANEURALNETWORKS_LOGISTIC, {op1}, {op3});
12 {op1},
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| relu1_float_1.model.cpp | 5 auto op1 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU1, {op1}, {op2});
11 {op1},
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| relu1_quant8_1.model.cpp | 5 auto op1 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU1, {op1}, {op2});
11 {op1},
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| relu6_float_1.model.cpp | 5 auto op1 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU6, {op1}, {op2});
11 {op1},
|
| relu6_quant8_1.model.cpp | 5 auto op1 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU6, {op1}, {op2});
11 {op1},
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| relu_float_1.model.cpp | 5 auto op1 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU, {op1}, {op2});
11 {op1},
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| relu_quant8_1.model.cpp | 5 auto op1 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_RELU, {op1}, {op2});
11 {op1},
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| tanh.model.cpp | 5 auto op1 = model->addOperand(&type0); local
8 model->addOperation(ANEURALNETWORKS_TANH, {op1}, {op2});
11 {op1},
|
| reshape.model.cpp | 7 auto op1 = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_RESHAPE, {op1, op2}, {op3});
16 {op1},
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| reshape_quant8.model.cpp | 7 auto op1 = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_RESHAPE, {op1, op2}, {op3});
16 {op1},
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| reshape_quant8_weights_as_inputs.model.cpp | 7 auto op1 = model->addOperand(&type0); local
11 model->addOperation(ANEURALNETWORKS_RESHAPE, {op1, op2}, {op3});
14 {op1, op2},
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| reshape_weights_as_inputs.model.cpp | 7 auto op1 = model->addOperand(&type0); local
11 model->addOperation(ANEURALNETWORKS_RESHAPE, {op1, op2}, {op3});
14 {op1, op2},
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| add.model.cpp | 6 auto op1 = model->addOperand(&type0); local
13 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3});
16 {op1, op2},
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| add_broadcast_quant8.model.cpp | 7 auto op1 = model->addOperand(&type0); local
14 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3});
17 {op1, op2},
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| add_quant8.model.cpp | 7 auto op1 = model->addOperand(&type0); local
14 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3});
17 {op1, op2},
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| concat_float_1.model.cpp | 7 auto op1 = model->addOperand(&type0); local
14 model->addOperation(ANEURALNETWORKS_CONCATENATION, {op1, op2, axis0}, {result});
17 {op1, op2},
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| concat_quant8_1.model.cpp | 7 auto op1 = model->addOperand(&type0); local
14 model->addOperation(ANEURALNETWORKS_CONCATENATION, {op1, op2, axis1}, {result});
17 {op1, op2},
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| fully_connected_float_large_weights_as_inputs.model.cpp | 8 auto op1 = model->addOperand(&type0); local
16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
19 {op1, op2, b0},
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| /external/valgrind/memcheck/tests/s390x/ |
| cs.c | 8 register int32_t op1 asm("8") = op1_init;
18 : "=d" (cc), "+Q" (op2), "+d"(op1), "+d"(op3)
25 int op1, op2, op3; local
27 test(op1, 0x10000000, 0x12345678); // complaint
|
| csg.c | 8 register int64_t op1 asm("8") = op1_init;
18 : "=d" (cc), "+Q" (op2), "+d"(op1), "+d"(op3)
25 int64_t op1, op2, op3; local
27 test(op1, 0x1000000000000000ull, 0x1234567887654321ull); // complaint
|
