/frameworks/ml/nn/runtime/test/ |
D | TestCompliance.cpp | 95 auto op2 = model.addOperand(&kTypeTensorFloatRank0); in TEST_F() local 98 model.addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in TEST_F() 99 model.identifyInputsAndOutputs({op1, op2}, {op3}); in TEST_F() 109 auto op2 = model.addOperand(&kTypeTensorFloat); in TEST_F() local 112 model.addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in TEST_F() 113 model.identifyInputsAndOutputs({op1, op2}, {op3}); in TEST_F() 123 auto op2 = model.addOperand(&kTypeTensorFloat); in TEST_F() local 128 model.addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in TEST_F() 130 model.identifyInputsAndOutputs({op1, op2, op4}, {op5}); in TEST_F() 154 auto op2 = model.addOperand(&kTypeTensorFloat); in TEST_F() local [all …]
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D | TestMemoryInternal.cpp | 198 auto op2 = model.addOperand(&type1); in TEST_F() local 207 model.setOperandValue(op2, op2_init, sizeof(op2_init)); in TEST_F() 217 {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); in TEST_F()
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D | TestIntrospectionControl.cpp | 206 auto op2 = model->addOperand(&type0); in createSimpleAddModel() local 212 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in createSimpleAddModel() 214 model->identifyInputsAndOutputs({op1, op2}, {op3}); in createSimpleAddModel() 1121 auto op2 = model->addOperand(&type0); in createAddMaxModel() local 1134 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in createAddMaxModel() 1136 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in createAddMaxModel() 1140 model->identifyInputsAndOutputs({op1, op2}, {op5}); in createAddMaxModel() 1184 auto op2 = model->addOperand(&type0); in createAddMulModel() local 1197 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in createAddMulModel() 1199 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in createAddMulModel() [all …]
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/frameworks/ml/nn/runtime/test/specs/V1_2/ |
D | argmax_b155660285.mod.py | 19 op2 = Output("op2", ["TENSOR_INT32", [1]]) variable 23 model.Operation("ARGMAX", op1, 0).To(op2) 28 op2: [2],
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D | argmin_b155660285.mod.py | 19 op2 = Output("op2", ["TENSOR_INT32", [1]]) variable 23 model.Operation("ARGMIN", op1, 0).To(op2) 28 op2: [2],
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D | reduce_prod_b155508675.mod.py | 19 op2 = Output("op2", ["TENSOR_FLOAT32", [1]]) variable 23 model.Operation("REDUCE_PROD", op1, [0, 1, 2], False).To(op2) 28 op2: [3.0],
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D | reduce_max_b155508675.mod.py | 19 op2 = Output("op2", ["TENSOR_FLOAT32", [1]]) variable 23 model.Operation("REDUCE_MAX", op1, [0, 1, 2], False).To(op2) 28 op2: [3.0],
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D | reduce_min_b155508675.mod.py | 19 op2 = Output("op2", ["TENSOR_FLOAT32", [1]]) variable 23 model.Operation("REDUCE_MIN", op1, [0, 1, 2], False).To(op2) 28 op2: [3.0],
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D | reduce_sum_b155508675.mod.py | 19 op2 = Output("op2", ["TENSOR_FLOAT32", [1]]) variable 23 model.Operation("REDUCE_SUM", op1, [0, 1, 2], False).To(op2) 28 op2: [3.0],
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D | reduce_any_b155508675.mod.py | 19 op2 = Output("op2", ["TENSOR_BOOL8", [1]]) variable 23 model.Operation("REDUCE_ANY", op1, [0, 1, 2], False).To(op2) 28 op2: [False],
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D | reduce_all_b155508675.mod.py | 19 op2 = Output("op2", ["TENSOR_BOOL8", [1]]) variable 23 model.Operation("REDUCE_ALL", op1, [0, 1, 2], False).To(op2) 28 op2: [False],
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/frameworks/ml/nn/runtime/test/specs/V1_1/ |
D | mean_b155508675.mod.py | 19 op2 = Output("op2", ["TENSOR_FLOAT32", [1]]) variable 23 model.Operation("MEAN", op1, [0, 1, 2], 0).To(op2) 28 op2: [3.0],
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D | strided_slice_b155662254.mod.py | 19 op2 = Output("op2", ["TENSOR_FLOAT32", [1]]) variable 23 model.Operation("STRIDED_SLICE", op1, [0], [1], [1], 0, 0, 1).To(op2) 28 op2: [0.0],
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D | squeeze_b155238914.mod.py | 18 op2 = Parameter("op2", ["TENSOR_INT32", [0]], value=None) # omitted variable 23 model.Operation("SQUEEZE", op1, op2).To(op3)
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/frameworks/base/services/tests/servicestests/src/com/android/server/content/ |
D | SyncOperationTest.java | 67 SyncOperation op2 = new SyncOperation(account1, 0, in testToKey() local 102 assertEquals(op1.key, op2.key); in testToKey() 124 SyncOperation op2 = SyncOperation.maybeCreateFromJobExtras(pb); in testConversionToExtras() local 127 account1.equals(op2.getClonedExtras().get("acc"))); in testConversionToExtras() 129 op2.getClonedExtras().getString("str"))); in testConversionToExtras()
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/frameworks/ml/nn/tools/test_generator/tests/P_variation/ |
D | stdout.txt.expect | 23 auto op2 = model->addOperand(&type1); 33 model->setOperandValue(op2, op2_init, sizeof(float) * 16); 46 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, … 96 auto op2 = model->addOperand(&type1); 106 model->setOperandValue(op2, op2_init, sizeof(float) * 16); 119 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, … 175 auto op2 = model->addOperand(&type5); 185 model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 16); 198 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, … 252 auto op2 = model->addOperand(&type1); [all …]
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/frameworks/ml/nn/tools/test_generator/tests/P_implicit_variation/ |
D | stdout.txt.expect | 23 auto op2 = model->addOperand(&type1); 33 model->setOperandValue(op2, op2_init, sizeof(float) * 16); 46 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, … 96 auto op2 = model->addOperand(&type1); 106 model->setOperandValue(op2, op2_init, sizeof(float) * 16); 119 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, … 175 auto op2 = model->addOperand(&type5); 185 model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 16); 198 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, … 252 auto op2 = model->addOperand(&type1); [all …]
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/frameworks/ml/nn/tools/test_generator/tests/P_naming/ |
D | stdout.txt.expect | 23 auto op2 = model->addOperand(&type1); 33 model->setOperandValue(op2, op2_init, sizeof(float) * 16); 46 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, … 96 auto op2 = model->addOperand(&type1); 106 model->setOperandValue(op2, op2_init, sizeof(float) * 16); 119 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, … 175 auto op2 = model->addOperand(&type5); 185 model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 16); 198 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, … 252 auto op2 = model->addOperand(&type1); [all …]
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/frameworks/av/media/libstagefright/codecs/m4v_h263/enc/src/ |
D | dct_inline.h | 27 __inline int32 mla724(int32 op1, int32 op2, int32 op3) in mla724() argument 33 out = op2 * 724 + op3; /* op1 is not used here */ in mla724() 111 __inline int32 mla724(int32 op1, int32 op2, int32 op3) in mla724() argument 117 smlabb out, op1, op2, op3 in mla724() 174 __inline int32 mla724(int32 op1, int32 op2, int32 op3) in mla724() argument 180 and out, op2, #0xFFFF in mla724() 269 __inline int32 mla724(int32 op1, int32 op2, int32 op3) in mla724() argument 273 register int32 bb = (int32)op2; in mla724()
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/frameworks/ml/nn/tools/test_generator/tests/P_backward_compatibility_quant8/ |
D | stdout.txt.expect | 23 auto op2 = model->addOperand(&type0); 39 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, str… 42 {op1, op2, op3},
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/frameworks/base/services/tests/mockingservicestests/src/com/android/server/appop/ |
D | AppOpsUpgradeTest.java | 94 private void assertSameModes(SparseArray<AppOpsService.UidState> uidStates, int op1, int op2) { in assertSameModes() argument 97 final int defaultModeOp2 = AppOpsManager.opToDefaultMode(op2); in assertSameModes() 102 final int uidMode2 = uidState.opModes.get(op2, defaultModeOp2); in assertSameModes() 117 final AppOpsService.Op _op2 = ops.get(op2); in assertSameModes()
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/frameworks/ml/nn/tools/test_generator/tests/P_float/ |
D | stdout.txt.expect | 23 auto op2 = model->addOperand(&type1); 31 model->setOperandValue(op2, op2_init, sizeof(float) * 4); 40 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid…
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/frameworks/ml/nn/tools/test_generator/tests/P_quant8/ |
D | stdout.txt.expect | 23 auto op2 = model->addOperand(&type1); 31 model->setOperandValue(op2, op2_init, sizeof(float) * 4); 40 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid…
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/frameworks/base/graphics/java/android/graphics/drawable/ |
D | Drawable.java | 1023 @PixelFormat.Opacity int op2) { in resolveOpacity() argument 1024 if (op1 == op2) { in resolveOpacity() 1027 if (op1 == PixelFormat.UNKNOWN || op2 == PixelFormat.UNKNOWN) { in resolveOpacity() 1030 if (op1 == PixelFormat.TRANSLUCENT || op2 == PixelFormat.TRANSLUCENT) { in resolveOpacity() 1033 if (op1 == PixelFormat.TRANSPARENT || op2 == PixelFormat.TRANSPARENT) { in resolveOpacity()
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/frameworks/base/core/tests/coretests/src/android/content/ |
D | ContentProviderOperationTest.java | 164 ContentProviderOperation op2 = ContentProviderOperation.newAssertQuery(sTestUri1) in testAssertNoValues() local 169 ContentProviderResult result = op2.apply(new TestContentProvider() { in testAssertNoValues()
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