/frameworks/ml/nn/runtime/test/generated/models/ |
D | concat_float_1.model.cpp | 9 auto axis0 = model->addOperand(&type1); in CreateModel() local 13 model->setOperandValue(axis0, axis0_init, sizeof(int32_t) * 1); in CreateModel() 14 model->addOperation(ANEURALNETWORKS_CONCATENATION, {op1, op2, axis0}, {result}); in CreateModel()
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D | concat_float_1_relaxed.model.cpp | 9 auto axis0 = model->addOperand(&type1); in CreateModel() local 13 model->setOperandValue(axis0, axis0_init, sizeof(int32_t) * 1); in CreateModel() 14 model->addOperation(ANEURALNETWORKS_CONCATENATION, {op1, op2, axis0}, {result}); in CreateModel()
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D | concat_float_2.model.cpp | 10 auto axis0 = model->addOperand(&type2); in CreateModel() local 14 model->setOperandValue(axis0, axis0_init, sizeof(int32_t) * 1); in CreateModel() 15 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis0}, {output}); in CreateModel()
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D | concat_quant8_2.model.cpp | 10 auto axis0 = model->addOperand(&type2); in CreateModel() local 14 model->setOperandValue(axis0, axis0_init, sizeof(int32_t) * 1); in CreateModel() 15 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis0}, {output}); in CreateModel()
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D | concat_float_2_relaxed.model.cpp | 10 auto axis0 = model->addOperand(&type2); in CreateModel() local 14 model->setOperandValue(axis0, axis0_init, sizeof(int32_t) * 1); in CreateModel() 15 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis0}, {output}); in CreateModel()
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/frameworks/ml/nn/runtime/test/specs/V1_0/ |
D | concat_float_1.mod.py | 21 axis0 = Int32Scalar("axis0", 0) variable 23 model = model.Operation("CONCATENATION", i1, i2, axis0).To(r)
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D | concat_float_2.mod.py | 27 axis0 = Int32Scalar("axis0", 0) variable 29 model = model.Operation("CONCATENATION", input1, input2, axis0).To(output)
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D | concat_quant8_2.mod.py | 27 axis0 = Int32Scalar("axis0", 0) variable 29 model = model.Operation("CONCATENATION", input1, input2, axis0).To(output)
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/frameworks/ml/nn/runtime/test/specs/V1_1/ |
D | concat_float_1_relaxed.mod.py | 21 axis0 = Int32Scalar("axis0", 0) variable 23 model = model.Operation("CONCATENATION", i1, i2, axis0).To(r)
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D | concat_float_2_relaxed.mod.py | 27 axis0 = Int32Scalar("axis0", 0) variable 29 model = model.Operation("CONCATENATION", input1, input2, axis0).To(output)
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