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Searched refs:axis1 (Results 1 – 8 of 8) sorted by relevance

/frameworks/ml/nn/runtime/test/generated/models/
Dconcat_quant8_1.model.cpp9 auto axis1 = model->addOperand(&type1); in CreateModel() local
13 model->setOperandValue(axis1, axis1_init, sizeof(int32_t) * 1); in CreateModel()
14 model->addOperation(ANEURALNETWORKS_CONCATENATION, {op1, op2, axis1}, {result}); in CreateModel()
Dconcat_quant8_3.model.cpp10 auto axis1 = model->addOperand(&type2); in CreateModel() local
14 model->setOperandValue(axis1, axis1_init, sizeof(int32_t) * 1); in CreateModel()
15 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis1}, {output}); in CreateModel()
Dconcat_float_3.model.cpp10 auto axis1 = model->addOperand(&type2); in CreateModel() local
14 model->setOperandValue(axis1, axis1_init, sizeof(int32_t) * 1); in CreateModel()
15 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis1}, {output}); in CreateModel()
Dconcat_float_3_relaxed.model.cpp10 auto axis1 = model->addOperand(&type2); in CreateModel() local
14 model->setOperandValue(axis1, axis1_init, sizeof(int32_t) * 1); in CreateModel()
15 model->addOperation(ANEURALNETWORKS_CONCATENATION, {input1, input2, axis1}, {output}); in CreateModel()
/frameworks/ml/nn/runtime/test/specs/V1_0/
Dconcat_quant8_1.mod.py21 axis1 = Int32Scalar("axis1", 1) variable
23 model = model.Operation("CONCATENATION", i1, i2, axis1).To(r)
Dconcat_float_3.mod.py27 axis1 = Int32Scalar("axis1", 1) variable
29 model = model.Operation("CONCATENATION", input1, input2, axis1).To(output)
Dconcat_quant8_3.mod.py27 axis1 = Int32Scalar("axis1", 1) variable
29 model = model.Operation("CONCATENATION", input1, input2, axis1).To(output)
/frameworks/ml/nn/runtime/test/specs/V1_1/
Dconcat_float_3_relaxed.mod.py27 axis1 = Int32Scalar("axis1", 1) variable
29 model = model.Operation("CONCATENATION", input1, input2, axis1).To(output)