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/frameworks/ml/nn/runtime/test/generated/models/
Dsub_v1_2_broadcast.model.cpp10 auto act = model->addOperand(&type2); in CreateModel_none() local
14 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel_none()
15 model->addOperation(ANEURALNETWORKS_SUB, {input0, input1, act}, {output0}); in CreateModel_none()
35 auto act = model->addOperand(&type2); in CreateModel_relu() local
39 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel_relu()
40 model->addOperation(ANEURALNETWORKS_SUB, {input0, input1, act}, {output0}); in CreateModel_relu()
60 auto act = model->addOperand(&type2); in CreateModel_relu1() local
64 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel_relu1()
65 model->addOperation(ANEURALNETWORKS_SUB, {input0, input1, act}, {output0}); in CreateModel_relu1()
85 auto act = model->addOperand(&type2); in CreateModel_relu6() local
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Dmul_relu_relaxed.model.cpp9 auto act = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_MUL, {op1, op2, act}, {op3}); in CreateModel()
36 auto act = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
40 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
41 model->addOperation(ANEURALNETWORKS_MUL, {op1, op2, act}, {op3}); in CreateModel_dynamic_output_shape()
Ddiv.model.cpp9 auto act = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_DIV, {op1, op2, act}, {op3}); in CreateModel()
34 auto act = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
38 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
39 model->addOperation(ANEURALNETWORKS_DIV, {op1, op2, act}, {op3}); in CreateModel_dynamic_output_shape()
Dmul_quant8.model.cpp10 auto act = model->addOperand(&type1); in CreateModel() local
14 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel()
15 model->addOperation(ANEURALNETWORKS_MUL, {op1, op2, act}, {op3}); in CreateModel()
35 auto act = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
39 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
40 model->addOperation(ANEURALNETWORKS_MUL, {op1, op2, act}, {op3}); in CreateModel_dynamic_output_shape()
Ddiv_relaxed.model.cpp9 auto act = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_DIV, {op1, op2, act}, {op3}); in CreateModel()
36 auto act = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
40 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
41 model->addOperation(ANEURALNETWORKS_DIV, {op1, op2, act}, {op3}); in CreateModel_dynamic_output_shape()
Dmul_relu.model.cpp9 auto act = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_MUL, {op1, op2, act}, {op3}); in CreateModel()
34 auto act = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
38 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
39 model->addOperation(ANEURALNETWORKS_MUL, {op1, op2, act}, {op3}); in CreateModel_dynamic_output_shape()
Dsub_relaxed.model.cpp9 auto act = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_SUB, {op1, op2, act}, {op3}); in CreateModel()
36 auto act = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
40 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
41 model->addOperation(ANEURALNETWORKS_SUB, {op1, op2, act}, {op3}); in CreateModel_dynamic_output_shape()
Dadd.model.cpp9 auto act = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in CreateModel()
34 auto act = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
38 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
39 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in CreateModel_dynamic_output_shape()
Dmul_relaxed.model.cpp9 auto act = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_MUL, {op1, op2, act}, {op3}); in CreateModel()
36 auto act = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
40 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
41 model->addOperation(ANEURALNETWORKS_MUL, {op1, op2, act}, {op3}); in CreateModel_dynamic_output_shape()
Dmul.model.cpp9 auto act = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_MUL, {op1, op2, act}, {op3}); in CreateModel()
34 auto act = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
38 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
39 model->addOperation(ANEURALNETWORKS_MUL, {op1, op2, act}, {op3}); in CreateModel_dynamic_output_shape()
Dsub.model.cpp9 auto act = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_SUB, {op1, op2, act}, {op3}); in CreateModel()
34 auto act = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
38 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
39 model->addOperation(ANEURALNETWORKS_SUB, {op1, op2, act}, {op3}); in CreateModel_dynamic_output_shape()
Dadd_relaxed.model.cpp9 auto act = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in CreateModel()
36 auto act = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
40 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
41 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in CreateModel_dynamic_output_shape()
Dmul_broadcast_quant8.model.cpp11 auto act = model->addOperand(&type2); in CreateModel() local
15 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel()
16 model->addOperation(ANEURALNETWORKS_MUL, {op1, op2, act}, {op3}); in CreateModel()
37 auto act = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
41 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
42 model->addOperation(ANEURALNETWORKS_MUL, {op1, op2, act}, {op3}); in CreateModel_dynamic_output_shape()
Dsub_broadcast_float_relaxed.model.cpp10 auto act = model->addOperand(&type2); in CreateModel() local
14 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel()
15 model->addOperation(ANEURALNETWORKS_SUB, {op1, op2, act}, {op3}); in CreateModel()
38 auto act = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
42 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
43 model->addOperation(ANEURALNETWORKS_SUB, {op1, op2, act}, {op3}); in CreateModel_dynamic_output_shape()
Dadd_broadcast_quant8.model.cpp10 auto act = model->addOperand(&type2); in CreateModel() local
14 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel()
15 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in CreateModel()
36 auto act = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
40 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
41 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in CreateModel_dynamic_output_shape()
Ddiv_broadcast_float_relaxed.model.cpp10 auto act = model->addOperand(&type2); in CreateModel() local
14 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel()
15 model->addOperation(ANEURALNETWORKS_DIV, {op1, op2, act}, {op3}); in CreateModel()
38 auto act = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
42 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
43 model->addOperation(ANEURALNETWORKS_DIV, {op1, op2, act}, {op3}); in CreateModel_dynamic_output_shape()
Dadd_quant8.model.cpp10 auto act = model->addOperand(&type2); in CreateModel() local
14 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel()
15 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in CreateModel()
36 auto act = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
40 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
41 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in CreateModel_dynamic_output_shape()
Dsub_broadcast_float.model.cpp10 auto act = model->addOperand(&type2); in CreateModel() local
14 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel()
15 model->addOperation(ANEURALNETWORKS_SUB, {op1, op2, act}, {op3}); in CreateModel()
36 auto act = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
40 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
41 model->addOperation(ANEURALNETWORKS_SUB, {op1, op2, act}, {op3}); in CreateModel_dynamic_output_shape()
Ddiv_broadcast_float.model.cpp10 auto act = model->addOperand(&type2); in CreateModel() local
14 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel()
15 model->addOperation(ANEURALNETWORKS_DIV, {op1, op2, act}, {op3}); in CreateModel()
36 auto act = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
40 model->setOperandValue(act, act_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
41 model->addOperation(ANEURALNETWORKS_DIV, {op1, op2, act}, {op3}); in CreateModel_dynamic_output_shape()
/frameworks/ml/nn/tools/test_generator/tests/P_internal/
Dadd_internal.mod.py40 act = Int32Scalar("act", 0) variable
42 model.Operation("ADD", o0, o1, act).To(o2)
43 model.Operation("ADD", p0, t5, act).To(t6)
44 model.Operation("ADD", i2, t0, act).To(t1)
45 model.Operation("ADD", i6, p0, act).To(t5)
46 model.Operation("ADD", i0, i1, act).To(t0)
47 model.Operation("ADD", t1, t3, act).To(t4)
48 model.Operation("ADD", t2, i5, act).To(t3)
49 model.Operation("ADD", t4, t6, act).To(o0)
50 model.Operation("ADD", i3, i4, act).To(t2)
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Dstdout.txt.expect22 auto act = model->addOperand(&type1);
43 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
46 model->addOperation(ANEURALNETWORKS_ADD, {i6, p0, act}, {t5});
47 model->addOperation(ANEURALNETWORKS_ADD, {p0, t5, act}, {t6});
48 model->addOperation(ANEURALNETWORKS_ADD, {i0, i1, act}, {t0});
49 model->addOperation(ANEURALNETWORKS_ADD, {i2, t0, act}, {t1});
50 model->addOperation(ANEURALNETWORKS_ADD, {i3, i4, act}, {t2});
51 model->addOperation(ANEURALNETWORKS_ADD, {t2, i5, act}, {t3});
52 model->addOperation(ANEURALNETWORKS_ADD, {t1, t3, act}, {t4});
53 model->addOperation(ANEURALNETWORKS_ADD, {t4, t6, act}, {o0});
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/frameworks/ml/nn/tools/test_generator/tests/P_vts_internal/
Dadd_internal.mod.py40 act = Int32Scalar("act", 0) variable
42 model.Operation("ADD", o0, o1, act).To(o2)
43 model.Operation("ADD", p0, t5, act).To(t6)
44 model.Operation("ADD", i2, t0, act).To(t1)
45 model.Operation("ADD", i6, p0, act).To(t5)
46 model.Operation("ADD", i0, i1, act).To(t0)
47 model.Operation("ADD", t1, t3, act).To(t4)
48 model.Operation("ADD", t2, i5, act).To(t3)
49 model.Operation("ADD", t4, t6, act).To(o0)
50 model.Operation("ADD", i3, i4, act).To(t2)
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/frameworks/ml/nn/runtime/test/
DTestCompliance.cpp72 auto act = model->addOperand(&kTypeInt32); in TEST_F() local
74 model->setOperandValue(act, &act_init, sizeof(act_init)); in TEST_F()
75 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in TEST_F()
87 auto act = model->addOperand(&kTypeInt32); in TEST_F() local
89 model->setOperandValue(act, &act_init, sizeof(act_init)); in TEST_F()
90 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in TEST_F()
105 auto act = model->addOperand(&kTypeInt32); in TEST_F() local
106 model->setOperandValue(act, &act_init, sizeof(act_init)); in TEST_F()
107 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in TEST_F()
108 model->addOperation(ANEURALNETWORKS_ADD, {op3, op4, act}, {op5}); in TEST_F()
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/frameworks/ml/nn/tools/test_generator/tests/P_vts_variation/
Dconv_float.mod.py20 act = Int32Scalar("act", 0) # None activation variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad, stride0, stride1, act, layout).To(output)
41 relu = ActivationConverter("relu").Identify([output], [act])
42 relu6 = ActivationConverter("relu6").Identify([output], [act])
46 output, act).AddInput(f1).AddVariations(RelaxedModeConverter(True), quant8)
/frameworks/rs/tests/java_api/ScriptGroupTest/src/com/android/rs/sgtest/
DTestBase.java46 protected ScriptGroupTestActivity act; field in TestBase
51 MessageProcessor(ScriptGroupTestActivity act) { in MessageProcessor() argument
52 mAct = act; in MessageProcessor()
66 act = ipact; in createBaseTest()
68 mRS.setMessageHandler(new MessageProcessor(act)); in createBaseTest()
74 createTest(act.getResources()); in createBaseTest()

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