/packages/modules/NeuralNetworks/runtime/test/ |
D | TestCompliance.cpp | 72 auto op3 = model.addOperand(&kTypeTensorFloat); in TEST_F() local 74 model.addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in TEST_F() 75 model.identifyInputsAndOutputs({op1, op2}, {op3}); in TEST_F() 86 auto op3 = model.addOperand(&kTypeTensorFloatRank0); in TEST_F() local 88 model.addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in TEST_F() 89 model.identifyInputsAndOutputs({op1, op2}, {op3}); in TEST_F() 100 auto op3 = model.addOperand(&kTypeTensorFloatRank0); in TEST_F() local 104 model.addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in TEST_F() 105 model.addOperation(ANEURALNETWORKS_ADD, {op3, op4, act}, {op5}); in TEST_F() 137 auto op3 = model.addOperand(&kTypeTensorFloat); in TEST_F() local [all …]
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D | TestIntrospectionControl.cpp | 214 auto op3 = model->addOperand(&type0); in createSimpleAddModel() local 218 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in createSimpleAddModel() 220 model->identifyInputsAndOutputs({op1, op2}, {op3}); in createSimpleAddModel() 1148 auto op3 = model->addOperand(&type0); in createAddMaxModel() local 1158 model->addOperation(ANEURALNETWORKS_MAXIMUM, {op3, op4}, {op5}); in createAddMaxModel() 1159 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in createAddMaxModel() 1161 model->addOperation(ANEURALNETWORKS_ADD, {op1, op2, act}, {op3}); in createAddMaxModel() 1162 model->addOperation(ANEURALNETWORKS_MAXIMUM, {op3, op4}, {op5}); in createAddMaxModel() 1213 auto op3 = model->addOperand(&type0); in createAddMulModel() local 1223 model->addOperation(ANEURALNETWORKS_MUL, {op3, op4, act}, {op5}); in createAddMulModel() [all …]
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D | TestMemoryInternal.cpp | 217 auto op3 = model.addOperand(&type2); in TEST_F() local 227 model.setOperandValue(op3, op3_init, sizeof(op3_init)); in TEST_F() 235 {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); in TEST_F()
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D | TestUnspecifiedDimensions.cpp | 320 auto op3 = model.addOperand(&type3); in TestOne() local 335 model.setOperandValue(op3, nullptr, 0); in TestOne() 339 model.addOperation(ANEURALNETWORKS_TRANSPOSE, {op2, op3}, {op4}); in TestOne() 343 model.identifyInputsAndOutputs({op0, op3}, {op4}); in TestOne()
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/packages/modules/NeuralNetworks/tools/test_generator/tests/P_variation/ |
D | stdout.txt.expect | 24 auto op3 = model->addOperand(&type2); 35 model->setOperandValue(op3, op3_init, sizeof(float) * 1); 46 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, … 97 auto op3 = model->addOperand(&type2); 108 model->setOperandValue(op3, op3_init, sizeof(float) * 1); 119 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, … 176 auto op3 = model->addOperand(&type6); 187 model->setOperandValue(op3, op3_init, sizeof(int32_t) * 1); 198 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, … 253 auto op3 = model->addOperand(&type2); [all …]
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/packages/modules/NeuralNetworks/tools/test_generator/tests/P_implicit_variation/ |
D | stdout.txt.expect | 24 auto op3 = model->addOperand(&type2); 35 model->setOperandValue(op3, op3_init, sizeof(float) * 1); 46 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, … 97 auto op3 = model->addOperand(&type2); 108 model->setOperandValue(op3, op3_init, sizeof(float) * 1); 119 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, … 176 auto op3 = model->addOperand(&type6); 187 model->setOperandValue(op3, op3_init, sizeof(int32_t) * 1); 198 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, … 253 auto op3 = model->addOperand(&type2); [all …]
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/packages/modules/NeuralNetworks/tools/test_generator/tests/P_naming/ |
D | stdout.txt.expect | 24 auto op3 = model->addOperand(&type2); 35 model->setOperandValue(op3, op3_init, sizeof(float) * 1); 46 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, … 97 auto op3 = model->addOperand(&type2); 108 model->setOperandValue(op3, op3_init, sizeof(float) * 1); 119 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, … 176 auto op3 = model->addOperand(&type6); 187 model->setOperandValue(op3, op3_init, sizeof(int32_t) * 1); 198 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, … 253 auto op3 = model->addOperand(&type2); [all …]
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/packages/modules/NeuralNetworks/runtime/test/specs/V1_1/ |
D | squeeze_b155238914.mod.py | 19 op3 = Output("op3", ["TENSOR_FLOAT32", [1]]) variable 23 model.Operation("SQUEEZE", op1, op2).To(op3) 28 op3: [0]
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/packages/modules/NeuralNetworks/tools/test_generator/tests/P_backward_compatibility_quant8/ |
D | stdout.txt.expect | 24 auto op3 = model->addOperand(&type1); 39 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, str… 42 {op1, op2, op3},
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/packages/modules/NeuralNetworks/tools/test_generator/tests/P_quant8/ |
D | stdout.txt.expect | 24 auto op3 = model->addOperand(&type2); 33 model->setOperandValue(op3, op3_init, sizeof(float) * 1); 40 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid…
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/packages/modules/NeuralNetworks/tools/test_generator/tests/P_float/ |
D | stdout.txt.expect | 24 auto op3 = model->addOperand(&type2); 33 model->setOperandValue(op3, op3_init, sizeof(float) * 1); 40 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid…
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/packages/modules/NeuralNetworks/tools/test_generator/ |
D | README.md | 420 b1 = Parameter("op3", ("TENSOR_FLOAT32", [1]), [-200])
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