/frameworks/ml/nn/runtime/test/generated/models/ |
D | l2_normalization_v1_2.model.cpp | 7 auto op2 = model->addOperand(&type0); in CreateModel_dim4_axis3() local 9 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2}); in CreateModel_dim4_axis3() 13 {op2}); in CreateModel_dim4_axis3() 26 auto op2 = model->addOperand(&type0); in CreateModel_dim4_axis3_relaxed() local 28 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2}); in CreateModel_dim4_axis3_relaxed() 32 {op2}); in CreateModel_dim4_axis3_relaxed() 47 auto op2 = model->addOperand(&type2); in CreateModel_dim4_axis3_float16() local 49 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2}); in CreateModel_dim4_axis3_float16() 53 {op2}); in CreateModel_dim4_axis3_float16() 67 auto op2 = model->addOperand(&type4); in CreateModel_dim4_axis3_quant8() local [all …]
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D | l2_normalization_axis.model.cpp | 9 auto op2 = model->addOperand(&type2); in CreateModel_dim4_axis0() local 13 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1, axis}, {op2}); in CreateModel_dim4_axis0() 17 {op2}); in CreateModel_dim4_axis0() 32 auto op2 = model->addOperand(&type2); in CreateModel_dim4_axis0_relaxed() local 36 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1, axis}, {op2}); in CreateModel_dim4_axis0_relaxed() 40 {op2}); in CreateModel_dim4_axis0_relaxed() 57 auto op2 = model->addOperand(&type3); in CreateModel_dim4_axis0_float16() local 61 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1, axis}, {op2}); in CreateModel_dim4_axis0_float16() 65 {op2}); in CreateModel_dim4_axis0_float16() 81 auto op2 = model->addOperand(&type5); in CreateModel_dim4_axis0_quant8() local [all …]
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D | softmax_v1_2.model.cpp | 9 auto op2 = model->addOperand(&type0); in CreateModel() local 13 model->addOperation(ANEURALNETWORKS_SOFTMAX, {op1, param}, {op2}); in CreateModel() 17 {op2}); in CreateModel() 32 auto op2 = model->addOperand(&type12); in CreateModel_dim1_axis0() local 36 model->addOperation(ANEURALNETWORKS_SOFTMAX, {op1, param}, {op2}); in CreateModel_dim1_axis0() 40 {op2}); in CreateModel_dim1_axis0() 55 auto op2 = model->addOperand(&type13); in CreateModel_dim3_axis2() local 59 model->addOperation(ANEURALNETWORKS_SOFTMAX, {op1, param}, {op2}); in CreateModel_dim3_axis2() 63 {op2}); in CreateModel_dim3_axis2() 78 auto op2 = model->addOperand(&type0); in CreateModel_relaxed() local [all …]
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D | relu_quant8_1.model.cpp | 7 auto op2 = model->addOperand(&type0); in CreateModel() local 9 model->addOperation(ANEURALNETWORKS_RELU, {op1}, {op2}); in CreateModel() 13 {op2}); in CreateModel() 27 auto op2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local 29 model->addOperation(ANEURALNETWORKS_RELU, {op1}, {op2}); in CreateModel_dynamic_output_shape() 33 {op2}); in CreateModel_dynamic_output_shape() 46 auto op2 = model->addOperand(&type0); in CreateModel_2() local 48 model->addOperation(ANEURALNETWORKS_RELU, {op1}, {op2}); in CreateModel_2() 52 {op2}); in CreateModel_2() 66 auto op2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape_2() local [all …]
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D | relu1_quant8_1.model.cpp | 7 auto op2 = model->addOperand(&type0); in CreateModel() local 9 model->addOperation(ANEURALNETWORKS_RELU1, {op1}, {op2}); in CreateModel() 13 {op2}); in CreateModel() 27 auto op2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local 29 model->addOperation(ANEURALNETWORKS_RELU1, {op1}, {op2}); in CreateModel_dynamic_output_shape() 33 {op2}); in CreateModel_dynamic_output_shape() 46 auto op2 = model->addOperand(&type0); in CreateModel_2() local 48 model->addOperation(ANEURALNETWORKS_RELU1, {op1}, {op2}); in CreateModel_2() 52 {op2}); in CreateModel_2() 66 auto op2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape_2() local [all …]
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D | relu6_quant8_1.model.cpp | 7 auto op2 = model->addOperand(&type0); in CreateModel() local 9 model->addOperation(ANEURALNETWORKS_RELU6, {op1}, {op2}); in CreateModel() 13 {op2}); in CreateModel() 27 auto op2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local 29 model->addOperation(ANEURALNETWORKS_RELU6, {op1}, {op2}); in CreateModel_dynamic_output_shape() 33 {op2}); in CreateModel_dynamic_output_shape() 46 auto op2 = model->addOperand(&type0); in CreateModel_2() local 48 model->addOperation(ANEURALNETWORKS_RELU6, {op1}, {op2}); in CreateModel_2() 52 {op2}); in CreateModel_2() 66 auto op2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape_2() local [all …]
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D | l2_normalization_2.model.cpp | 7 auto op2 = model->addOperand(&type0); in CreateModel() local 9 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2}); in CreateModel() 13 {op2}); in CreateModel() 27 auto op2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local 29 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2}); in CreateModel_dynamic_output_shape() 33 {op2}); in CreateModel_dynamic_output_shape()
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D | floor_float16.model.cpp | 7 auto op2 = model->addOperand(&type0); in CreateModel() local 9 model->addOperation(ANEURALNETWORKS_FLOOR, {op1}, {op2}); in CreateModel() 13 {op2}); in CreateModel() 27 auto op2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local 29 model->addOperation(ANEURALNETWORKS_FLOOR, {op1}, {op2}); in CreateModel_dynamic_output_shape() 33 {op2}); in CreateModel_dynamic_output_shape()
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D | floor.model.cpp | 7 auto op2 = model->addOperand(&type0); in CreateModel() local 9 model->addOperation(ANEURALNETWORKS_FLOOR, {op1}, {op2}); in CreateModel() 13 {op2}); in CreateModel() 27 auto op2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local 29 model->addOperation(ANEURALNETWORKS_FLOOR, {op1}, {op2}); in CreateModel_dynamic_output_shape() 33 {op2}); in CreateModel_dynamic_output_shape()
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D | l2_normalization_large.model.cpp | 7 auto op2 = model->addOperand(&type0); in CreateModel() local 9 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2}); in CreateModel() 13 {op2}); in CreateModel() 27 auto op2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local 29 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2}); in CreateModel_dynamic_output_shape() 33 {op2}); in CreateModel_dynamic_output_shape()
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D | relu1_float_1.model.cpp | 7 auto op2 = model->addOperand(&type0); in CreateModel() local 9 model->addOperation(ANEURALNETWORKS_RELU1, {op1}, {op2}); in CreateModel() 13 {op2}); in CreateModel() 27 auto op2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local 29 model->addOperation(ANEURALNETWORKS_RELU1, {op1}, {op2}); in CreateModel_dynamic_output_shape() 33 {op2}); in CreateModel_dynamic_output_shape()
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D | tanh.model.cpp | 7 auto op2 = model->addOperand(&type0); in CreateModel() local 9 model->addOperation(ANEURALNETWORKS_TANH, {op1}, {op2}); in CreateModel() 13 {op2}); in CreateModel() 27 auto op2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local 29 model->addOperation(ANEURALNETWORKS_TANH, {op1}, {op2}); in CreateModel_dynamic_output_shape() 33 {op2}); in CreateModel_dynamic_output_shape()
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D | relu6_float_1.model.cpp | 7 auto op2 = model->addOperand(&type0); in CreateModel() local 9 model->addOperation(ANEURALNETWORKS_RELU6, {op1}, {op2}); in CreateModel() 13 {op2}); in CreateModel() 27 auto op2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local 29 model->addOperation(ANEURALNETWORKS_RELU6, {op1}, {op2}); in CreateModel_dynamic_output_shape() 33 {op2}); in CreateModel_dynamic_output_shape()
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D | relu_float_1.model.cpp | 7 auto op2 = model->addOperand(&type0); in CreateModel() local 9 model->addOperation(ANEURALNETWORKS_RELU, {op1}, {op2}); in CreateModel() 13 {op2}); in CreateModel() 27 auto op2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local 29 model->addOperation(ANEURALNETWORKS_RELU, {op1}, {op2}); in CreateModel_dynamic_output_shape() 33 {op2}); in CreateModel_dynamic_output_shape()
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D | l2_normalization.model.cpp | 7 auto op2 = model->addOperand(&type0); in CreateModel() local 9 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2}); in CreateModel() 13 {op2}); in CreateModel() 27 auto op2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local 29 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2}); in CreateModel_dynamic_output_shape() 33 {op2}); in CreateModel_dynamic_output_shape()
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D | relu1_float_1_relaxed.model.cpp | 7 auto op2 = model->addOperand(&type0); in CreateModel() local 9 model->addOperation(ANEURALNETWORKS_RELU1, {op1}, {op2}); in CreateModel() 13 {op2}); in CreateModel() 29 auto op2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local 31 model->addOperation(ANEURALNETWORKS_RELU1, {op1}, {op2}); in CreateModel_dynamic_output_shape() 35 {op2}); in CreateModel_dynamic_output_shape()
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D | l2_normalization_large_relaxed.model.cpp | 7 auto op2 = model->addOperand(&type0); in CreateModel() local 9 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2}); in CreateModel() 13 {op2}); in CreateModel() 29 auto op2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local 31 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2}); in CreateModel_dynamic_output_shape() 35 {op2}); in CreateModel_dynamic_output_shape()
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D | dequantize.model.cpp | 8 auto op2 = model->addOperand(&type1); in CreateModel() local 10 model->addOperation(ANEURALNETWORKS_DEQUANTIZE, {op1}, {op2}); in CreateModel() 14 {op2}); in CreateModel() 28 auto op2 = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local 30 model->addOperation(ANEURALNETWORKS_DEQUANTIZE, {op1}, {op2}); in CreateModel_dynamic_output_shape() 34 {op2}); in CreateModel_dynamic_output_shape()
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D | l2_normalization_2_relaxed.model.cpp | 7 auto op2 = model->addOperand(&type0); in CreateModel() local 9 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2}); in CreateModel() 13 {op2}); in CreateModel() 29 auto op2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local 31 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2}); in CreateModel_dynamic_output_shape() 35 {op2}); in CreateModel_dynamic_output_shape()
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D | tanh_relaxed.model.cpp | 7 auto op2 = model->addOperand(&type0); in CreateModel() local 9 model->addOperation(ANEURALNETWORKS_TANH, {op1}, {op2}); in CreateModel() 13 {op2}); in CreateModel() 29 auto op2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local 31 model->addOperation(ANEURALNETWORKS_TANH, {op1}, {op2}); in CreateModel_dynamic_output_shape() 35 {op2}); in CreateModel_dynamic_output_shape()
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D | relu6_float_1_relaxed.model.cpp | 7 auto op2 = model->addOperand(&type0); in CreateModel() local 9 model->addOperation(ANEURALNETWORKS_RELU6, {op1}, {op2}); in CreateModel() 13 {op2}); in CreateModel() 29 auto op2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local 31 model->addOperation(ANEURALNETWORKS_RELU6, {op1}, {op2}); in CreateModel_dynamic_output_shape() 35 {op2}); in CreateModel_dynamic_output_shape()
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D | floor_relaxed.model.cpp | 7 auto op2 = model->addOperand(&type0); in CreateModel() local 9 model->addOperation(ANEURALNETWORKS_FLOOR, {op1}, {op2}); in CreateModel() 13 {op2}); in CreateModel() 29 auto op2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local 31 model->addOperation(ANEURALNETWORKS_FLOOR, {op1}, {op2}); in CreateModel_dynamic_output_shape() 35 {op2}); in CreateModel_dynamic_output_shape()
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D | l2_normalization_relaxed.model.cpp | 7 auto op2 = model->addOperand(&type0); in CreateModel() local 9 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2}); in CreateModel() 13 {op2}); in CreateModel() 29 auto op2 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local 31 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2}); in CreateModel_dynamic_output_shape() 35 {op2}); in CreateModel_dynamic_output_shape()
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/frameworks/base/core/tests/coretests/src/android/content/ |
D | ContentProviderOperationTest.java | 174 ContentProviderOperation op2 = ContentProviderOperation.newAssertQuery(sTestUri1) in testAssertNoValues() local 179 ContentProviderResult result = op2.apply(new TestContentProvider() { in testAssertNoValues() 286 ContentProviderOperation op2; in testParcelingOperation() local 314 op2 = ContentProviderOperation.CREATOR.createFromParcel(parcel); in testParcelingOperation() 316 assertEquals(ContentProviderOperation.TYPE_INSERT, operationGetType(op2)); in testParcelingOperation() 317 assertEquals("content://goo/bar", operationGetUri(op2).toString()); in testParcelingOperation() 318 assertEquals(Integer.valueOf(42), operationGetExpectedCount(op2)); in testParcelingOperation() 319 assertEquals("selection", operationGetSelection(op2)); in testParcelingOperation() 320 assertEquals(2, operationGetSelectionArgs(op2).length); in testParcelingOperation() 321 assertEquals("a", operationGetSelectionArgs(op2)[0]); in testParcelingOperation() [all …]
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/frameworks/ml/nn/runtime/test/ |
D | TestCompliance.cpp | 71 auto op2 = model->addOperand(&kTypeTensorFloatRank0); in TEST_F() local 75 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in TEST_F() 76 model->identifyInputsAndOutputs({op1, op2}, {op3}); in TEST_F() 86 auto op2 = model->addOperand(&kTypeTensorFloat); in TEST_F() local 90 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in TEST_F() 91 model->identifyInputsAndOutputs({op1, op2}, {op3}); in TEST_F() 101 auto op2 = model->addOperand(&kTypeTensorFloat); in TEST_F() local 107 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in TEST_F() 109 model->identifyInputsAndOutputs({op1, op2, op4}, {op5}); in TEST_F() 134 auto op2 = model->addOperand(&kTypeTensorFloat); in TEST_F() local [all …]
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