/frameworks/ml/nn/tools/test_generator/tests/P_explicit/ |
D | stdout.txt.expect | 7 auto op0 = model->addOperand(&type0); 9 model->addOperation(ANEURALNETWORKS_ADD, {op1, op1}, {op0}); 10 model->addOperation(ANEURALNETWORKS_ADD, {op0, op1}, {op2});
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/frameworks/ml/nn/runtime/test/generated/models/ |
D | conv_3_h3_w2_SAME_relaxed.model.cpp | 14 auto op0 = model->addOperand(&type2); in CreateModel() local 26 model->setOperandValue(op0, op0_init, sizeof(float) * 54); in CreateModel() 29 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
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D | conv_3_h3_w2_SAME.model.cpp | 14 auto op0 = model->addOperand(&type2); in CreateModel() local 26 model->setOperandValue(op0, op0_init, sizeof(float) * 54); in CreateModel() 29 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
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D | conv_1_h3_w2_VALID_relaxed.model.cpp | 15 auto op0 = model->addOperand(&type3); in CreateModel() local 27 model->setOperandValue(op0, op0_init, sizeof(float) * 18); in CreateModel() 30 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
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D | conv_3_h3_w2_VALID.model.cpp | 15 auto op0 = model->addOperand(&type3); in CreateModel() local 27 model->setOperandValue(op0, op0_init, sizeof(float) * 54); in CreateModel() 30 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
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D | conv_1_h3_w2_VALID.model.cpp | 15 auto op0 = model->addOperand(&type3); in CreateModel() local 27 model->setOperandValue(op0, op0_init, sizeof(float) * 18); in CreateModel() 30 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
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D | conv_3_h3_w2_VALID_relaxed.model.cpp | 15 auto op0 = model->addOperand(&type3); in CreateModel() local 27 model->setOperandValue(op0, op0_init, sizeof(float) * 54); in CreateModel() 30 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
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D | conv_1_h3_w2_SAME_relaxed.model.cpp | 15 auto op0 = model->addOperand(&type3); in CreateModel() local 27 model->setOperandValue(op0, op0_init, sizeof(float) * 18); in CreateModel() 30 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
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D | conv_1_h3_w2_SAME.model.cpp | 15 auto op0 = model->addOperand(&type3); in CreateModel() local 27 model->setOperandValue(op0, op0_init, sizeof(float) * 18); in CreateModel() 30 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3}); in CreateModel()
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D | depthwise_conv.model.cpp | 15 auto op0 = model->addOperand(&type2); in CreateModel() local 29 model->setOperandValue(op0, op0_init, sizeof(float) * 3); in CreateModel() 32 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op2, op0, op1, b4, b5, b6, b7, b8}, {op3}); in CreateModel()
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D | depthwise_conv_relaxed.model.cpp | 15 auto op0 = model->addOperand(&type2); in CreateModel() local 29 model->setOperandValue(op0, op0_init, sizeof(float) * 3); in CreateModel() 32 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op2, op0, op1, b4, b5, b6, b7, b8}, {op3}); in CreateModel()
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D | mobilenet_224_gender_basic_fixed.model.cpp | 172 auto op0 = model->addOperand(&type3); in CreateModel() local 632 model->addOperation(ANEURALNETWORKS_CONV_2D, {op86, op2, op1, b87, b88, b89, b90}, {op0}); in CreateModel() 633 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op0, op29, op28, b91, b92, b93, b94, b95},… in CreateModel()
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D | mobilenet_224_gender_basic_fixed_relaxed.model.cpp | 172 auto op0 = model->addOperand(&type3); in CreateModel() local 632 model->addOperation(ANEURALNETWORKS_CONV_2D, {op86, op2, op1, b87, b88, b89, b90}, {op0}); in CreateModel() 633 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op0, op29, op28, b91, b92, b93, b94, b95},… in CreateModel()
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/frameworks/ml/nn/tools/test_generator/tests/P_quantized_conv/ |
D | stdout.txt.expect | 14 auto op0 = model->addOperand(&type1); 26 model->setOperandValue(op0, op0_init, sizeof(uint8_t) * 4); 29 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3});
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/frameworks/ml/nn/tools/test_generator/tests/P_conv/ |
D | stdout.txt.expect | 15 auto op0 = model->addOperand(&type3); 27 model->setOperandValue(op0, op0_init, sizeof(float) * 18); 30 model->addOperation(ANEURALNETWORKS_CONV_2D, {op2, op0, op1, b4, b5, b6, b7}, {op3});
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/frameworks/ml/nn/tools/test_generator/tests/P_depthwise_conv/ |
D | stdout.txt.expect | 15 auto op0 = model->addOperand(&type2); 29 model->setOperandValue(op0, op0_init, sizeof(float) * 3); 32 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op2, op0, op1, b4, b5, b6, b7, b8}, {op3});
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