| /frameworks/ml/nn/runtime/test/specs/ |
| concat_quant8_1.mod.py | 21 axis1 = Int32Scalar("axis1", 1) variable
23 model = model.Operation("CONCATENATION", i1, i2, axis1).To(r)
|
| concat_float_3.mod.py | 27 axis1 = Int32Scalar("axis1", 1) variable
29 model = model.Operation("CONCATENATION", input1, input2, axis1).To(output)
|
| concat_quant8_3.mod.py | 27 axis1 = Int32Scalar("axis1", 1) variable
29 model = model.Operation("CONCATENATION", input1, input2, axis1).To(output)
|
| /frameworks/ml/nn/runtime/test/generated/models/ |
| concat_float_3.model.cpp | 10 auto axis1 = model->addOperand(&type2); local
14 model->setOperandValue(axis1, axis1_init, sizeof(int32_t) * 1);
15 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis1}, {output});
|
| concat_quant8_1.model.cpp | 9 auto axis1 = model->addOperand(&type1); local
13 model->setOperandValue(axis1, axis1_init, sizeof(int32_t) * 1);
14 model->addOperation(ANEURALNETWORKS_CONCATENATION, {op1, op2, axis1}, {result});
|
| concat_quant8_3.model.cpp | 10 auto axis1 = model->addOperand(&type2); local
14 model->setOperandValue(axis1, axis1_init, sizeof(int32_t) * 1);
15 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis1}, {output});
|
| /cts/apps/CtsVerifier/src/com/android/cts/verifier/sensors/ |
| GyroscopeMeasurementTestActivity.java | 200 int axis1 = 0; local
205 axis1 = positiveRotation ? 1 : -1;
214 mRenderer.setRotation(axis1, axis2, axis3);
|
| /prebuilts/tools/common/m2/repository/com/jayway/android/robotium/robotium-solo/5.5.3/ |
| robotium-solo-5.5.3.jar | |
| /prebuilts/tools/common/m2/repository/com/cenqua/clover/clover/3.1.12/ |
| clover-3.1.12.jar | |
