/frameworks/ml/nn/tools/test_generator/tests/P_variation/ |
D | stdout.txt.expect | 30 auto op4 = model->addOperand(&type0); 46 …>addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, {op4}); 50 {op4}); 103 auto op4 = model->addOperand(&type0); 119 …>addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, {op4}); 123 {op4}); 182 auto op4 = model->addOperand(&type7); 198 …>addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, {op4}); 202 {op4}); 259 auto op4 = model->addOperand(&type0); [all …]
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/frameworks/ml/nn/tools/test_generator/tests/P_implicit_variation/ |
D | stdout.txt.expect | 30 auto op4 = model->addOperand(&type0); 46 …>addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, {op4}); 50 {op4}); 103 auto op4 = model->addOperand(&type0); 119 …>addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, {op4}); 123 {op4}); 182 auto op4 = model->addOperand(&type7); 198 …>addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, {op4}); 202 {op4}); 259 auto op4 = model->addOperand(&type0); [all …]
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/frameworks/ml/nn/tools/test_generator/tests/P_naming/ |
D | stdout.txt.expect | 30 auto op4 = model->addOperand(&type0); 46 …>addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, {op4}); 50 {op4}); 103 auto op4 = model->addOperand(&type0); 119 …>addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, {op4}); 123 {op4}); 182 auto op4 = model->addOperand(&type7); 198 …>addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, {op4}); 202 {op4}); 259 auto op4 = model->addOperand(&type0); [all …]
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/frameworks/ml/nn/tools/test_generator/tests/P_backward_compatibility_quant8/ |
D | stdout.txt.expect | 29 auto op4 = model->addOperand(&type3); 39 …E_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, channelMultiplier, act}, {op4}); 43 {op4});
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/frameworks/ml/nn/tools/test_generator/tests/P_quant8/ |
D | stdout.txt.expect | 28 auto op4 = model->addOperand(&type1); 40 …tion(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 44 {op4});
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/frameworks/ml/nn/tools/test_generator/tests/P_float/ |
D | stdout.txt.expect | 28 auto op4 = model->addOperand(&type1); 40 …tion(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 44 {op4});
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/frameworks/base/services/tests/servicestests/src/com/android/server/content/ |
D | SyncOperationTest.java | 85 SyncOperation op4 = new SyncOperation(account2, 0, in testToKey() local 104 assertNotSame(op1.key, op4.key); in testToKey()
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/frameworks/ml/nn/runtime/test/ |
D | TestCompliance.cpp | 125 auto op4 = model.addOperand(&kTypeTensorFloat); in TEST_F() local 129 model.addOperation(ANEURALNETWORKS_ADD, {op3, op4, act}, {op5}); in TEST_F() 130 model.identifyInputsAndOutputs({op1, op2, op4}, {op5}); in TEST_F()
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D | TestMemoryInternal.cpp | 203 auto op4 = model.addOperand(&type4); in TEST_F() local 217 {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); in TEST_F() 220 model.identifyInputsAndOutputs({op1}, {op4}); in TEST_F()
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D | TestUnspecifiedDimensions.cpp | 289 auto op4 = model.addOperand(&type4); in TestOne() local 307 model.addOperation(ANEURALNETWORKS_TRANSPOSE, {op2, op3}, {op4}); in TestOne() 309 model.identifyInputsAndOutputs({op0}, {op4}); in TestOne() 311 model.identifyInputsAndOutputs({op0, op3}, {op4}); in TestOne()
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D | TestIntrospectionControl.cpp | 1124 auto op4 = model->addOperand(&type0); in createAddMaxModel() local 1130 model->setOperandValue(op4, ceiling, sizeof(ceiling)); in createAddMaxModel() 1133 model->addOperation(ANEURALNETWORKS_MAXIMUM, {op3, op4}, {op5}); in createAddMaxModel() 1137 model->addOperation(ANEURALNETWORKS_MAXIMUM, {op3, op4}, {op5}); in createAddMaxModel() 1187 auto op4 = model->addOperand(&type0); in createAddMulModel() local 1193 model->setOperandValue(op4, multiplier, sizeof(multiplier)); in createAddMulModel() 1196 model->addOperation(ANEURALNETWORKS_MUL, {op3, op4, act}, {op5}); in createAddMulModel() 1200 model->addOperation(ANEURALNETWORKS_MUL, {op3, op4, act}, {op5}); in createAddMulModel()
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/frameworks/ml/nn/tools/test_generator/ |
D | README.md | 422 o1 = Output("op4", ("TENSOR_FLOAT32", [1, 3, 4, 1]))
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